CTE-STEM 2022 conference proceedings

Agarwal, B. (n.d.). ct_dashboards. GitHub. Opgehaal van https://github.com/bhoom10/ct_dashboards

Aho, A. V. (2012). Computation and computational thinking. The Computer Journal, 55(7), 832-835. https://doi.org/10.1093/comjnl/bxs074

Ainsworth, S. (2006). Deft: A conceptual framework for considering learning with multiple representations, Learning and Instruction, 16,183-198.Authors,(2021). https://doi.org/10.1016/j.learninstruc.2006.03.001

Ambrósio, A. P., Xavier, C., & Georges, F. (2015). Digital ink for cognitive assessment of computational thinking. Proceedings - Frontiers in Education Conference, FIE, 2015-Febru(February). https://doi.org/10.1109/FIE.2014.7044237

Anderson, D. M., Baird, M. D., & Bozick, R. (2018). Who Gets Counted as Part of America's STEM Workforce? RAND Corporation 8.

Angeli, C., & Giannakos, M. (2020). Computational thinking education: Issues and challenges. Computers in Human Behavior, 105. https://doi.org/10.1016/j.chb.2019.106185

Angevine, C., Cator, K., Roschelle, J., Thomas, S. A., Waite, C.,& Weisgrau, J. (2017). Computational Thinking for a Computational World. https://doi.org/10.51388/20.500.12265/62

Appleton, James J. Christenson, S. L. et al. (2006). Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument. Journal of School Psychology, 44(5), 427-445. Retrieved March 15, 2022 https://doi.org/10.1016/j.jsp.2006.04.002

Arnold, C. (2020). How computational immunology changed the face of COVID-19 vaccine development. Nature Medicine https://doi.org/10.1038/d41591-020-00027-9

Asunda, P. A., & Weitlauf, J. (2018). STEM habits of mind: enhancing a PBL design challenge-integrated STEM instruction approach. Technology and Engineering Teacher, 78(3), 34-38.

Augustine, N. R. (2005). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC: National Academy Press.

Bais, S. (2007). De sublieme eenvoud van relativiteit: een visuele inleiding. Amsterdam University Press. https://doi.org/10.5117/9789053569924

Baker, R. S. J. d. (2007). Is gaming the system state-or-trait? Educational data mining through the multi-contextual application of a validated behavioral model. Workshop on Data Mining for User Modeling at the 11th International Conference on User Modeling, 76-80. http://www.columbia.edu/~rsb2162/B2007B.pdf

Ban do, T. & Motozawa, A. (2021) The Relationship between Computational Thinking and Grit among University Students, Journal of the Japan Society of Technology Education, 63(1), 23-29. (in Japanese)

Barab, S., Thomas, M., Dodge, T., Carteaux, R., & Tuzun, H. (2005). Making learning fun: Quest Atlantis, a game without guns. Educational technology research and development, 53(1), 86-1 https://doi.org/10.1007/BF02504859

Barendsen, E. (2022). Computational Thinking in context: a teaching and learning trajectory for primary and secondary education. Retrieved from https://www.nwo.nl/projecten/40518540153-0

Barendsen, E., & Bruggink, M. (2019).Het volle potentieel van de computer leren benutten: over informatica en computational thinking. Van Twaalf tot Achttien,29(10), 16-19. https://onderwijstijdschriftenplein.nl/tplein/van-twaalf-tot-achttien-jrg-29-december-2019-nr-10/

Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for everyone. Learning & Leading with Technology, 38(6), 20.

Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12. ACM Inroads, 2(1), 48-54. https://doi.org/10.1145/1929887.1929905

Barr, V., & Stephenson, C. (2011). Bringing Computational Thinking to K-12: What is Involved and What is the Role of the Computer Science Education Community? ACM Inroads, 2(1), 48-54. https://doi.org/10.1145/1929887.1929905

Barr, V.,& Stephenson, C.(2011). Bringing Computational Thinking to K-12: What is Involved and What is the Role of the Computer Science Education Community? ACM Inroads, 2(1).48-54. https://doi.org/10.1145/1929887.1929905

Barrón-Estrada, M. L., Zatarain-Cabada, R., Romero-Polo, J. A., & Monroy,J. N. (2021). Patrony:A mobile application for pattern recognition learning. Education and Information Technologies, 1- 24. https://doi.org/10.1007/s10639-021-10636-7

Basawapatna, A., Koh, K. H., Repenning, A., Webb, D. C., & Marshall, K. S. (2011). Recognizing computational thinking patterns. Paper presented at the Proceedings of the 42nd ACM technical symposium on Computer science education. https://doi.org/10.1145/1953163.1953241

Basu, S., Biswas, G., Kinnebrew, J., Rafi, T. (2015) Relations between modeling behavior and learning in a Computational Thinking based science learning environment. In Proceedings of the 23rd International Conference on Computers in Education, pp. 184-189.

Battal, A., Afacan Adanır, G., & Gülbahar, Y. (2021). Computer Science Unplugged: A systematic literature review. Journal of Educational Technology Systems, 50(1), 24-47. https://doi.org/10.1177/00472395211018801

Beauchamp, G. (2016). Computing and ICT in the Primary School: From pedagogy to practice. Routledge. https://doi.org/10.4324/9781315628042

Becker, K. (2007). Digital game‐based learning once removed: Teaching teachers. British Journal of Educational Technology, 38(3), 478-488. https://doi.org/10.1111/j.1467-8535.2007.00711.x

Bell, T., Alexander, J., Freeman, I., & Grimley, M. (2009). Computer science unplugged: School students doing real computing without computers. The New Zealand Journal of Applied Computing and Information Technology,13(1), 20-29.

Bell, H., & Ainsworth, S. (2021). Difficulties assessing knowledge of grammatical terminology: Implicationsfor teacher education and teaching.Language Awareness, 30(2), 97-113. https://doi.org/10.1080/09658416.2020.1752701

Bell, T., Vahrenhold,J. (2018). CS unplugged-how is it used, and does it work? In H. J. Böckenhauer, D. Komm & W. Unger (Eds.),Adventures between lower bounds and higher altitudes (pp. 497-521). Springer. https://doi.org/10.1007/978-3-319-98355-4_29

Bell, T.C., & Vahrenhold, J. (2018). CS Unplugged -How Is It Used, and Does It Work? Adventures Between Lower Bounds and Higher Altitudes. https://doi.org/10.1007/978-3-319-98355-4_29

Berland, M., Martin, T., Benton, T., Petrick Smith, C., & Davis, D. (2013). Using learning analytics to understand the learning pathways of novice programmers. Journal of the Learning Sciences, 22(4), 564-599. https://doi.org/10.1080/10508406.2013.836655

Bers, M. U. (2008). Blocks, robots and computers: Learning about technology in early childhood. Teacher's College Press, NY.

Bers, M. U. (2018).Coding and computational thinking in early childhood: the impact of ScratchJr in Europe. European Journal of STEM Education, 3(3), 8. https://doi.org/10.20897/ejsteme/3868

Bers, M.U., Flannery, L. Kazakoff, E.R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145-157. https://doi.org/10.1016/j.compedu.2013.10.020

Biggs, J. (1996). Enhancing teaching through constructive alignment. Higher Education, 32(3), 347-364. https://doi.org/10.1007/BF00138871

Blikstein, P. (2011). Using learning analytics to assess students' behavior in open-ended programming tasks. In P. Long, G. Siemens, G. Conole, & D. Gasevic (Eds.), Proceedings of the 1st International Conference on Learning Analytics and Knowledge - LAK '11 (pp. 110-116). ACM Press. https://doi.org/10.1145/2090116.2090132

Blikstein, P. (2013). Digital fabrication and 'making' in education: The democratization of invention. In: Walter-Herrmann J. & Büching C. (Eds.), FabLabs: Of Machines, Makers and Inventors. Bielefeld: Transcript Publishers. https://doi.org/10.1515/transcript.9783839423820.203

Bloom, B. S. (1956). Taxonomy of educational objectives: The classification of educational goals. Harlow, England: Longman Group

Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., Engelhardt, K., Kampylis, P., & Punie, Y. (2016).Developing computational thinking in compulsory education. European Commission, JRC Science for Policy Report, 68.

Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., Engelhardt, K., Kampylis, P., & Punie, Y. (2016). Developing computational thinking in compulsory education. European Commission, JRC Science for Policy Report, 68,15 -17.

Bocconi, S., Chioccariello, A., Dettori, G.et al. (2016).Developing Computational Thinking in Compulsory Education -Implications for policy and practice. EUR 28295 EN. Luxembourg: Publications Office of the European Union.

Bocconi, S., Chioccariello, A., Kampylis et al. (2022).Reviewing Computational Thinking in Compulsory Education. JRC128347. Luxembourg: Publications Office of the European Union.

Bourgeois, A., Birch, P., & Davydovskaia, O. (2019). Digital Education at School in Europe. Eurydice Report. Education, Audiovisual and Culture Executive Agency, European Commission. Available from EU Bookshop.

Bower, M., & Falkner, K. (2015). Computational thinking, the notional machine, pre-service teachers, and research opportunities. Proceedings of the 17th Australasian Computing Education Conference (ACE 2015), 37-46.

Bower, M., Wood, L. N., Lai, J. W., Highfield, K., Veal, J., Howe, C., et al. (2017). Improving the computational thinking pedagogical capabilities of school teachers. Australian Journal of Teacher Education, 42(3), 53-72. https://doi.org/10.14221/ajte.2017v42n3.4

Bower, M., Wood, L., Lai, J., Howe, C., Lister, R., Mason, R., Highfield, K., & Veal, J. (2017). Improving the computational thinking pedagogical capabilities of school teachers. 42(3), 53-72. https://doi.org/10.14221/ajte.2017v42n3.4

Brackman, C. P., Román-González, M., Robles, G., Moreno-León, J., Casali, A., Barone, D. (2017). Development of computational thinking skills through unplugged activities in primary school. WiPSCE '17:Proceedings of the 12thworkshop on primary and secondary computer education(pp. 65-71). Association for Computing Machinery. https://dl.acm.org/doi/10.1145/3137065.3137069 https://doi.org/10.1145/3137065.3137069

Brackmann, C. P., Román-González, M., Robles, G., Moreno-León, J., Casali, A., & Barone, D. (2017).Development of computational thinking skills through unplugged activities in primary school. Proc. of the 12thWorkshop on Primary and Secondary Computing Education, pp. 65-72. https://doi.org/10.1145/3137065.3137069

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In C. A. Tyson & A. F. Ball (Eds.), Proceedings of the 2012 Annual Meeting of the American Educational Research Association (pp. 1-25). American Educational Research Association.

Brennan, K. and Resnick, M., 2012, April. New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada (Vol. 1, p. 25).

Brennan, K., & Resnick, M. (2012). New Frameworks for Studying and Assessing the Development of Computational Thinking, Annual American Educational Research Association Meeting. Retrieved January 5, 2022, from http://scratched.gse.harvard.edu/ct/files/AERA2012.pdf

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Annual American Educational Research Association Meeting, Vancouver, BC, Canada, 2012, 1-25. http://web.media.mit.edu/~kbrennan/files/Brennan_Resnick_AERA2012_CT.pdf

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Proc. of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada,1. pp. 25.

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. 2012 Annual Meeting of the American Educational Research Association (AERA'12), Canada.

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada, 1, 25.

Brennan, K., & Resnick, M. (2012, April). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American educational research association, Vancouver, Canada(Vol. 1, p. 25).

Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1-13. https://doi.org/10.1016/j.iheduc.2015.04.007

Buechley, L., Eisenberg, M., Catchen, J., & Crockett, A. (2008). The LilyPad Arduino: using computational textiles to investigate engagement, aesthetics, and diversity in computer science education. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 423-432). https://doi.org/10.1145/1357054.1357123

Bundy, A. (2007). Computational thinking is pervasive. Journal of Scientific and Practical Computing, 1(2), 67-69. http://www.inf.ed.ac.uk/publications/online/1245.pdf

Burke, Q., & Kafai, Y. B. (2010, June). Programming & storytelling: opportunities for learning about coding & composition. In Proceedings of the 9th international conference on interaction design and children (pp. 348-351). https://doi.org/10.1145/1810543.1810611

Cabrera, D. and Cabrera, L., (2018). Systems Thinking made simple. 2nd ed. United States of America: Plectica Publishing.

Cabrera, D. and Cabrera, L., (2019). Complexity and systems thinking models in education: Applications for leaders. Learning, design, and technology: An international compendium of theory, research, practice, and policy, pp.1-29. https://doi.org/10.1007/978-3-319-17727-4_101-1

Cabrera, L. (2019). Teacher Preconceptions of Computational Thinking: A Systematic Literature Review. Journal of Technology and Teacher Education, 27(3), 1059-7069. https://doi.org/10.70725/676916nohbuf

Carter, E. (2015). Its debug: Practical results. Journal of Computing Sciences in Colleges, 30(3), 9-15

Case, R.(1994).Our crude handling of educational reforms: The case of curricular integration. Canadian Journal of Education, 19(1), 80-93. https://doi.org/10.2307/1495308

CAS-UK. Computing at School Working Group http://www.computingatschool.org.uk

Catlin, D., & Woollard, J. (2014). Educational robots and computational thinking. Pape r presented at the Proceedings of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education, Padova, Italy.

Che, D., Liu, Q., Rasheed, K., & Tao, X. (2011). Decision tree and ensemble learning algorithms with their applications in bioinformatics. In: Arabnia H., Tran QN. (eds) Software tools and algorithms for biological systems, 191-199. https://doi.org/10.1007/978-1-4419-7046-6_19

Chen, H. R., & Lin, Y. S. (2016). An examination of digital game-based situated learning applied to Chinese language poetry education. Technology, Pedagogy and Education, 25(2), 171-186. https://doi.org/10.1080/1475939X.2015.1007077

Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J , Slingsby, A. , Rtisos, P. D., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R. ,Khan, S., Laramee, R. S., Nguyen, P. H., Reeve, R., Roberts, J., Vidal, F., Wang, Q., Wood, J., & Xu, K. (2022). RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses. Epidemics. https://doi.org/10.1016/j.epidem.2022.100569

Chen, Z.-H., & Lee, S.-Y. (2018). Application-driven educational game to assist young children in learning English vocabulary. Educational Technology & Society, 21(1), 70-81.

Cheryan, S., Plaut, V.C., Davies, P.G., & Steele, C.M. (2009). Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology, 97(6), 1045-1060. https://doi.org/10.1037/a0016239

Childs, M., Kain, M., Kirk, D., Harris, M., Ritchie, J., Couper, L., Delwel, I., Nova, N., & Morecai, E. (2020). Potential Long -Term Intervention Strategies for COVID-19. Available at: http://covid-measures.stanford.edu (Accessed May 2, 2022.)

Chute, E. (2009). STEM education is branching out: Focus shifts from making science, math accessible to more than just brightest. Pittsburgh Post-Gazette, 10.

Clark, D.B., & Sengupta, P. (2020) Reconceptualizing games for integrating computational thinking and science as practice: collaborative agent-based disciplinarily-integrated games, Interactive Learning Environments, 28(3), 328-346 https://doi.org/10.1080/10494820.2019.1636071

Computer Science Unplugged https://www.csunplugged.org/en/

Computing at School. (2015). Computational Thinking Teacher Resources. Retrieved January 5, 2022 , from https://community.computingatschool.org.uk/files/6890/original.pdf

Computing at School. (2014). Secondary Computing Gui dance: Computing in the National Curriculum: A Guide for Secondary Teachers. Retrieved January 5, 2022, from https://community.computingatschool.org.uk/files/3383/original.pdf

Computing at School. (2015a). Computing Progression Pathways. Retrieved January 5, 2022, from https://community.computingatschool.org.uk/files/5094/original.pdf

Constantinou, V., & Ioannou, A. (n.d.). Development of Computational Thinking Skills through Educational Robotics.

Corradini, I., Lodi, M., & Nardelli, E. (2017). Conceptions and Misconceptions about Computational Thinking among Italian Primary School Teachers. Proceedings of the 2017 ACM Conference on International Computing Education Research, 136-144. https://doi.org/10.1145/3105726.3106194

Costa, A. L., & Kallick, B. (2008). Habits of mind in the curriculum. Learning and leading with habits of mind, 16,42-58.

Costa, A. L., & Kallick, B. (2008). Habits of mind in the curriculum. Learning and leading with habits of mind, 16,42-58.

Council, N. R. (2010). Report of a Workshop on the Scope and Nature of Computational Thinking. The National Academies Press.

Cuny, J., Snyder, L., & Wing, J. M. (2010). Demystifying computational thinking for non-computer scientists. Unpublished manuscript in progress, referenced in http://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf.

Curzon, P., & McOwan, P.(2017). The Power of Computational Thinking. London: World Scientific Publishing Europe Ltd. https://doi.org/10.1142/q0054

Cutumisu, M., Adams, C., & Lu, C. (2019). A Scoping Review of Empirical Research on Recent Computational Thinking Assessments. Journal of Science Education and Technology, 28(6), 651-676. https://doi.org/10.1007/s10956-019-09799-3

Cutumisu, M., Adams, C., & Lu, C. (2019). A scoping review of empirical research on recent computational thinking assessments. Journal of Science Education and Technology, 28(6), 651-676 https://doi.org/10.1007/s10956-019-09799-3

Czerkawski, B. C., & Lyman, E. W. (2015). Exploring Issues About Computational Thinking in Higher Education. Tech Trends, 59(2), 57-65 https://doi.org/10.1007/s11528-015-0840-3

Dagienė, V., Jevsikova, T., Stupurienė, G., & Juškevičienė, A. (2021). Teaching computational thinking in primary schools: Worldwide trends and teachers' attitudes. Comp.Science and Information Systems, 33.

Daniel, J. (2020).Education and the COVID-19pandemic.Prospects,49(1), 91-96. https://doi.org/10.1007/s11125-020-09464-3

Dasgupta, A.,&Purzer,S. (2016). No Patterns in Pattern Recognition: A Systematic Literature Review. IEEE Frontiers in Education Conference (FIE). 1-3. https://doi.org/10.1109/FIE.2016.7757676

Daugherty, M. K. (2013). The Prospect of an "A" in STEM Education. Journal of STEM Education: Innovations and Research, 14(2).

Davison, D.M., Miller, K.W.,& Metheny, D.L. (1995). What does integration of science and mathematics really mean? School Science and Mathematics,95(5), 226-230. https://doi.org/10.1111/j.1949-8594.1995.tb15771.x

De Araujo, A. L. S. O., Andrade, W. L., & Serey Guerrero, D. D. (2016). A systematic mapping study on assessing computational thinking abilities. Proceedings - Frontiers in Education Conference, FIE, 2016-Novem. https://doi.org/10.1109/FIE.2016.7757678

De Jong, I., & Jeuring, J. (2020). Computational Thinking Interventions in Higher Education: A Scoping Literature Review of Interventions Used to Teach Computational Thinking. ACM International Conference Proceeding Series, 10(20). https://doi.org/10.1145/3428029.3428055

Deniz, A. & Gönen, M. S. (2020). Developing a scale for evaluation of picture story books: Validity and reliability study. Journal of Early Childhood Studies, 4(2), 88-116. https://doi.org/10.24130/eccd-jecs.1967202042220

Denning, P. J., & Tedre, M. (2021). Computational thinking: A disciplinary perspective. Informatics inEducation,20(3), 361-390. https://doi.org/10.15388/infedu.2021.21

Denning, P., & Tedre, M. (2019). Computational Thinking. Cambridge,MA: MIT Press. https://doi.org/10.7551/mitpress/11740.001.0001

Diordieva, C., Yeter, I. H., & Smith, W. S. (2019). Middle school STEM teachers' understandings of computational thinking: A case study of Brazil and the USA. In2019ASEE Annual Conference & Exposition. https://doi.org/10.18260/1-2--33107

Dole ck, T., Bazelais, P., Lemay, D., Saxena, A., & Basnet, R. B. (2017). Algorithmic Thinking, Cooperativity, Creativity, Critical Thinking, and Problem Solving: Exploring the Relationship between Computational Thinking Skills and Academic Performance. Journal of Computers in Education, 4(4), 355-369 https://doi.org/10.1007/s40692-017-0090-9

Dong, Y., Cateté, V., Jocius, R., Lytle, N., Barnes, T. Albert, J., Joshi, D., Robinson, R., & Andrews, A., (2019). PRADA: A practical model for integrating computational thinking in K-12 education. In proceedings of the annual meeting of the ACM SIGCSE '19, February 27-March 2, 2019, Minneapolis, MN, USA. https://doi.org/10.1145/3287324.3287431

Donsbach, J., Tsacoumis, S., Sager, C., & Updegraff, J.(2003). O* NET analyst occupational abilities ratings: Procedures. DFR-03-22). Alexandria, VA: Human Resources Research Organization..

Dragone, M., O'Donoghue, R., Leonard, J. J., O'Hare, G., Duffy, B., Patrikalakis, A., & Leederkerken, J. (2005). Robot soccer anywhere: achieving persistent autonomous navigation, mapping, and object vision tracking in dynamic environments. Paper presented at the Opto-Ireland 2005: Photonic Engineering, Dublin, Ireland. https://doi.org/10.1117/12.608404

Drake, S.M.& Burns, R.C.(2004). Meeting standards through integrated curriculum. Association for Supervision and Curriculum Development. Alexandria, VA

Driessen, G., & van Langen, A. (2013). Gender differences in primary and secondary education: Are girls really outperforming boys? International Review of Education,59(1), 67-86. https://doi.org/10.1007/s11159-013-9352-6

Dudoit, S.J., & Fridlyand, J. (2002). Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, 97:77 -87. https://doi.org/10.1198/016214502753479248

Durak, H. Y., Yilmaz, F. G. K., & Yilmaz, R. (2019). Computational thinking, programming self- efficacy, problem solving and experiences in the programming process conducted with robotic activities. Contemporary Educational Technology, 10(2), 173-197. https://doi.org/10.30935/cet.554493

Education & Human Resources (2020). STEM education for the future: A visioning report. National Science Foundation.

Eguiluz, A., Guenaga, M., Garaizar, P., & Olivares-Rodriguez, C. (2017). Exploring the progression of early programmers in a set of computational thinking challenges via clickstream analysis. IEEE Transactions on Emerging Topics in Computing,1.

Eguíluz, A., Guenaga, M., Garaizar, P., & Olivares-Rodríguez, C. (2017). Exploring the progression of early programmers in a set of computational thinking challenges via clickstream analysis. IEEE Transactions on Emerging Topics in Computing, 8(1), 256-261. https://doi.org/10.1109/TETC.2017.2768550

El-Hamamsy, L., Zapata-Cáceres, M., Barroso, E. M., Mondada, F., Zufferey, J. D., & Bruno, B. (2022). The competent computational thinking test (cCTt): Development and validation of an unplugged computational thinking test for upper primary school. arXiv Preprint arXiv:2203.05980. https://doi.org/10.1037/t87213-000

Emerson, A., Smith, A., Smith, C., Rodríguez, F., Wiebe, E., Mott, B., Boyer, K., & Lester, J. (2019). Predicting early and often: Predictive student modeling for block-based programming environments. In C. F. Lynch, A. Merceron, M. Desmarais, & R. Nkambou (Eds.), Proceedings of the 12th International Conference on Educational Data Mining (pp. 39-48).

Epstein, R., Schmidt, S. M., & Warfel, R. (2008). Measuring and training creativity competencies: Validation of a new test. Creativity Research Journal, 20(1), 7-12. https://doi.org/10.1080/10400410701839876

Espedido, A., & Searle, B. J. (2018). Goal difficulty and creative performance: The mediating role of stress appraisal. In Human Performance (Vol. 31, Issue 3, pp. 179-196). https://doi.org/10.1080/08959285.2018.1499024

Esteve-Mon, F., Llopis, M., & Adell-Segura, J. (2020). Digital competence and computational thinking of student teachers. International Journal of Emerging Technologies in Learning (IJET), 15(2), 29-41. https://doi.org/10.3991/ijet.v15i02.11588

European Union. (2015). Official Journal of the European Union. Retrieved March, 20, 2022, from https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52015XG1215(02)&from=NL

European Union.(2018). Official Journal of the European Union. Retrieved March, 20, 2022, from https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32018H0604(01)&from=NL

Ezeamuzie, N. O., & Leung, J. S. C. C. (2021). Computational Thinking Through an Empirical Lens: A Systematic Review of Literature. Journal of Educational Computing Research, 073563312110331. https://doi.org/10.1177/07356331211033158

Fagerlund, J., Häkkinen, P, Vesisenaho, M., & Viiri , J. (2020). Computational Thinking in Programming with Scratch in Primary Schools: A Systematic Review. Computer Applications in Engineering Education, 29(1) 1-17. https://doi.org/10.1002/cae.22255

Falloon, G. (2016). An analysis of young students' thinking when completing basic coding tasks using Scratch Jnr. On the iPad. Journal of Computer Assisted Learning, 32(6), 576-593. https://doi.org/10.1111/jcal.12155

Fanchamps, N., Slangen, L., Hennissen, P., & Specht, M. (2019). The Influence of SRA Programming on Algorithmic Thinking and Self-Efficacy Using Lego Robotics in Two Types of Instruction. International Journal of Technology and Design Education, 1 -20 https://doi.org/10.1007/s10798-019-09559-9

Fanchamps, N., Specht, M., Hennissen, P., & Slangen, L. (2020). The Effect of Teacher Interventions and SRA Robot Programming on the Development of Computational Thinking. Paper presented at the International Conference on Computational Thinking Education 2020, Hongkong.

Fanchamps, N., Specht, M., Hennissen, P., & Slangen, L. (2020). The effect of teacher interventions and SRA robot programming on the development of computational thinking. CoolThink@ JC,69.

Feriver, Ş., Olgan, R., Teksöz, G., & Barth, M. (2019). Systems Thinking Skills of Preschool Children in Early Childhood Education Contexts from Turkey and Germany. Sustainability, 11(5), 1478. https://doi.org/10.3390/su11051478

Fessakis, G., Gouli, E., & Mavroudi, E. (2013). Problem solving by 5-6 years old kindergarten children in a computer programming environment: A case study. Computers &Education, 63, 87-97. https://doi.org/10.1016/j.compedu.2012.11.016

Fields, D. A., Lui, D., & Kafai, Y. B. (2019). Teaching computational thinking with electronic textiles: Modeling iterative practices and supporting personal projects in exploring computer science. In Computational Thinking Education (pp. 279-294). Springer Singapore. https://doi.org/10.1007/978-981-13-6528-7_16

Fleisher, M. S., & Tsacoumis, S. (2012). 'O* NET analyst occupational skills ratings: Procedures update. Raleigh, NC: National Center for O* NET Development.

Fleisher, M. S., & Tsacoumis, S. (2012). O* NET analyst occupational abilities ratings: Procedures update. Alexandria, VA: Human Resources Research Organization.

Fogarty, R. (1991). Ten ways to integrate curriculum. Educational leadership, 49(2), 61-65.

Foster, I. (2006). A two-way street to science's future. Nature, 440(7083), 419. https://doi.org/10.1038/440419a

Furmann, M. (2016).Educar mentes curiosas: Laformación del pensamiento científico y tecnológico en lainfancia: documento básico: XI Foro Latinoamericano de Educación La construcción del pensamiento científico y tecnológico en los niños de 3 a 8 años(Primera edición).Fundación Santillana.

García-Peñalvo, F. J. (2017). Computational thinking issues. ACM International Conference Proceeding Series, Part F1322 https://doi.org/10.1145/3144826.3145349

Garvin, M., Killen, H., Plane, J., & Weintrop, D. (2019). Primary School Teachers' Conceptions of Computational Thinking. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 899-905. https://doi.org/10.1145/3287324.3287376

Giannakoulas, A., & Xinogalos, S. (2018).A pilot study on the effectiveness and acceptance of an educational game for teaching programming concepts to primary school students. Education and InformationTechnologies,23(5), 2029-2052. https://doi.org/10.1007/s10639-018-9702-x

Goddard, R. D., Hoy, W. K., & Hoy, A. W. (2000). Collective teacher efficacy: Its meaning, measure, and impact on student achievement. American Educational Research Journal, 37(2), 479-507. https://doi.org/10.3102/00028312037002479

Goldberg, D., Grunwald, D., Lewis, C.et al. (2013). Addressing 21stCentury Skills by Embedding Computer Science in K-12 classes. In Proceeding of the 44th ACM technical symposium on Computer science education(SIGCSE '13),637-638. https://doi.org/10.1145/2445196.2445384

Goldhammer, F., Naumann, J., Stelter, A., Tóth, K., Rölke, H., & Klieme, E. (2014). The time on task effect in reading and problem solving is moderated by task difficulty and skill: Insights from a computer-based large-scale assessment. Journal of Educational Psychology, 106(3), 608-626. https://doi.org/10.1037/a0034716

Gómez-del Río, T., & Rodríguez, J. (2022). Design and assessment of a project-based learning in a laboratory for integrating knowledge and improving engineering design skills. Education for Chemical Engineers. https://doi.org/10.1016/j.ece.2022.04.002

GOV.UK. (2014). National curriculum in England: computing programmes of study. Retrieved July, 16, 2014.

Gov.UK: Department for Education (2013). National Curriculum in England: Computing Programmes of Study . Retrieved January 5, 2022, from https://www.gov.uk/government/publications/national-curriculum-in-england-computing-programmes-of-study/national-curriculum-in-england-computing-programmes-of-study

Goyeneche, J. J., Pereiro, E., Koleszar, V., Angeriz, E.,Pérez, M., & Urruticoechea, A. (2021). Pensamiento computacional, proceso de creación de un videojuego de medida estandarizada. International Journal of Developmental and Educational Psychology,1, 25-32. https://doi.org/10.17060/ijodaep.2021.n2.v1.2154

Gretter, S.,& Yadav, A. (2016). Computational Thinking and Media & Information Literacy: An Integrated Approach to Teaching Twenty-First Century Skills. TechTrends,60. https://doi.org/10.1007/s11528-016-0098-4

Grover, S., & Basu, S. (2017). Measuring student learning in introductory block-based programming: examining misconceptions of loops, variables, and boolean logic. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education - SIGCSE '17, 267-272. https://doi.org/10.1145/3017680.3017723

Grover, S., & Pea, R. (2018). Computational Thinking: A competency whose time has come. Computer science education: Perspectives on teaching and learning in school, London: Bloomsbury Academic, 19-37. https://doi.org/10.5040/9781350057142.ch-003

Grover, S ., & Pea , R . D. (2015) "Systems of Assessments" for Deeper Learning of Computational Thinking in K-12, Conference: Annual Meeting of the American Educational Research Association.

Grover, S., & Basu, S. (2017, March). Measuring student learning in introductory block-based programming: Examining misconceptions of loops, variables, and boolean logic. In Proceedings of the 2017 ACM SIGCSE technical symposium on computer science education(pp. 267-272). Seattle, Washington: ACM. https://doi.org/10.1145/3017680.3017723

Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42(1), 38-43. https://doi.org/10.3102/0013189X12463051

Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational researcher,42(1), 38-43. https://doi.org/10.3102/0013189X12463051

Grover, S., & Pea, R. (2013). Computational thinking in K-12: A review of the state of the field. Educational Researcher, 42(1), 38- 43. https://doi.org/10.3102/0013189X12463051

Grover, S., & Pea, R. (2018). Computational thinking: A competency whose time has come. Computer Science Education: Perspectives on Teaching and Learning in School, 19(December), 19-37. https://doi.org/10.5040/9781350057142.ch-003

Grover, S., & Pea, R. (2018). Computational thinking: A competency whose time has come. Computer science education: Perspectives on teaching and learning in school, 19, 1257-1258. https://doi.org/10.5040/9781350057142.ch-003

Grover, S., & Pea, R. (2018). Computational thinking: A competency whose time has come. Computer science education: Perspectives on teaching and learning in school, 19. https://doi.org/10.5040/9781350057142.ch-003

Grover, S., Pea, R., & Cooper, S. (2015). Designing for deeper learning in a blended computer science course for middle school students. Computer Science Education, 25(2), 199-237. https://doi.org/10.1080/08993408.2015.1033142

Grover, S.,& Pea, R. (2017).Computational Thinking: A Competency Whose Time Has Come. https://doi.org/10.5040/9781350057142.ch-003

Guenaga, M., Eguíluz, A., Garaizar, P., & Gibaja, J. (2021). How do students develop computational thinking? Assessing early programmers in a maze-based online game. Computer Science Education, 31(2), 259-289. https://doi.org/10.1080/08993408.2021.1903248

Guenaga, M., Eguíluz, A., Garaizar, P., & Gibaja, J. (2021). How do students develop computational thinking? assessing early programmers in a maze-based online game, 1-31. https://doi.org/10.1080/08993408.2021.1903248

Günbatar, M. S. (2019). Computational thinking within thecontext of professional life: Change in CT skill from the viewpoint of teachers. 2629-2652. https://doi.org/10.1007/s10639-019-09919-x

Guo, P., Saab, N., Post, L. S., & Admiraal, W. (2020). A review of project-based learning in higher education: Student outcomes and measures. International Journal of Educational Research, 102, 101586. https://doi.org/10.1016/j.ijer.2020.101586

Guskey, T. R. (2003). How classroom assessments improve learning.Educational Leadership, 60(5), 6-11

Gustafson, K., Branch, R. (2002). Survey of Instructional Development Models (4th ed.). New York: Eric Publications.

Guzdial, M. (2015). Learner-Centered Design of Computing Education: Research on Computing for Everyone. Synthesis Lectures on Human-Centered Informatics, 8, 1-165. https://doi.org/10.1007/978-3-031-02216-6

Hadad, R., & Lawless, K. A. (2015). Assessing computational thinking. In Encyclopedia of Information Science and Technology, Third Edition (bll 1568-1578). IGI Global. https://doi.org/10.4018/978-1-4666-5888-2.ch150

Haduong, P., & Brennan, K. (2018, February). Getting unstuck: new resources for teaching debugging strategies in scratch. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education(pp. 1092-1092). https://doi.org/10.1145/3159450.3162248

Häkkinen, P., Järvelä, S., Mäkitalo-Siegl, K., Ahonen, A. K., Näykki, P., & Valtonen, T. (2017). Preparing teacher students for twenty-first- century learning practices: a framework for enhancing collaborative problem-solving and strategic learning skills. Teachers and Teaching: Theory and Practice, 23(1), 25-41. https://doi.org/10.1080/13540602.2016.1203772

Haleva, L., Hershkovitz, A., & Tabach, M. (2021). Students' activity in an online learning environment for mathematics: The role of thinking levels. Journal of Educational Computing Research, 59(4), 686-712. https://doi.org/10.1177/0735633120972057

Hambrusch, S., Hoffmann, C., Korb, J. T., Haugan, M., & Hosking, A. L. (2009). A Multidisciplinary Approach towards Computational Thinking for Science Majors. SIGCSE Bull., 41(1), 183-187 https://doi.org/10.1145/1508865.1508931

Harvard University. (n.d.).Computational Thinking with Scratch. Retrieved January 5, 2022, from http://scratched.gse.harvard.edu/ct/index.html

Hasesk, H. I., Ilic, U., Haseskİ, H. İ., & İlİc, U. (2019). An Investigation of the Data Collection Instruments Developed to Measure Computational Thinking. Informatics in Education, 18(2), 297-319. https://doi.org/10.15388/infedu.2019.14

Heintz, F., Mannila, L., Nordén, L. Å., Parnes, P., & Regnell, B. (2017, November). Introducing programming and digital competence in Swedish K-9 education. In International Conference on Informatics in Schools: Situation, Evolution, and Perspectives(pp. 117-128). Springer, Cham. https://doi.org/10.1007/978-3-319-71483-7_10

Hemmendinger, D. (2010). A Plea for Modesty. ACM Inroads, 1(2),4-7. https://doi.org/10.1145/1805724.1805725

Henderson, P. B., Cortina, T. J., & Wing, J. M. (2007). Computational thinking. ACM SIGCSE Bulletin. https://doi.org/10.1145/1227310.1227378

Henrique de Paula, B. et al. (2018). Playing Beowulf: Bridging computational thinking, arts and literature through game-making No Title. International Journal of Child-Computer Interaction, 16, 39-46. Retrieved March 15,2022 from https://www.sciencedirect.com/science/article/pii/S2212868917300247 https://doi.org/10.1016/j.ijcci.2017.11.003

Hershkovitz, A., Sitman, R., Israel-Fishelson, R., Eguíluz, A., Gara izar, P., & Guenaga, M. (2019). Creativity in the acquisition of computational thinking. Interactive Learning Environments, 27(5 -6), 628-644. https://doi.org/10.1080/10494820.2019.1610451

Hershkovitz, A., Sitman, R., Israel-Fishelson, R., Eguí luz, A., Garaizar, P., & Guenaga, M. (2019). Creativity in the Acquisition of Computational Thinking. Interactive Learning Environments, 27(5-6), 628-644 https://doi.org/10.1080/10494820.2019.1610451

Hestness, E., Ketelhut, D. J., Randy McGinnis, J., & Plane, J. (2018). Professional Knowledge Building within an Elementary Teacher Professional Development Experience on Computational Thinking in Science Education. Journal of Technology and Teacher Education, 26(3), 411-435.

Hinde, E.T. (2005). Revisiting curriculum integration: A fresh look at an old idea. The Social Studies, 96(3), 105-111. https://doi.org/10.3200/TSSS.96.3.105-111

Howard, S. K., Tondeur, J., Ma, J., & Yang, J. (2021). What to teach? Strategies for developing digital competency in preservice teacher training. Computers & Education, 165, 104149. https://doi.org/10.1016/j.compedu.2021.104149

Hsu, T. C., Chang, S. C., & Hung, Y. T. (2018). How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Computers and Education, 126, 296-310. https://doi.org/10.1016/j.compedu.2018.07.004

Huang, H. Y., Huang, S. H., Shih, J. L., Tsai, M. J., & Liang, J. C. (2019). Exploring the role of algorithms in elementary school students' computational thinking skills from a robotic game. In 3rd International Conference on Computational Thinking Education, CTE 2019 (pp. 217-222). The Education University of Hong Kong.

Huang, W., Chan, S. W., & Looi, C. K. (2021). Frame Shifting as a Challenge to Integrating Computational Thinking in Secondary Mathematics Education. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 390-396. https://doi.org/10.1145/3408877.3432400

in Education (ISTE), I. S. F. T., & (csta), C. S. T. A. (2011). Operational Definition of Computational Thinking. Opgehaal van https://cdn.iste.org/www-root/ct-documents/computational-thinking-operational-definition-flyer.pdf

International Society for Technology in Education (ISTE) and the Computer Science Teachers Association (CSTA). (2011)Operational Definition of Computational Thinking for K-12 Education. Retrieved January 5, 2022 , from https://cdn.iste.org/www-root/Computational_Thinking_Operational_Definition_ISTE.pdf

International Society for Technology in Education (ISTE). (n.d.) Exploring Computational Thinking Resource Repositories. Retrieved January 5, 2021, from https://learn.iste.org/d2l/lor/search/search_results.d2l?ou=6606&lrepos=1006

Işıtan, S. & Turan, F. (2014). Telling story as a narrative analysis approach in assessing children's language development. Educational Sciences and Practice, 13(25), 105-124.

Israel, M., & Lash, T. (2020). From classroom lessons to exploratory learning progressions: mathematics+ computational thinking. Interactive Learning Environments 28(3), 362-382. https://doi.org/10.1080/10494820.2019.1674879

Israel, M., Pearson, J.N., Tapia, T., Wherfel, Q.M., & Reese, G. (2015). Supporting all learners in school-wide computational thinking: A cross-case qualitative analysis. Computers & Education, 82, 263-279. https://doi.org/10.1016/j.compedu.2014.11.022

Israel, M., Pearson, J. N., Tapia, T., Wherfel, Q. M., & Reese, G. (2015). Supporting all learners in school-wide computational thinking: Across-case qualitative analysis. Computers & Education, 82, 263-279. https://doi.org/10.1016/j.compedu.2014.11.022

Israel-Fishelson, R., & Hershkovitz, A. (2021). Micro-persistence and difficulty in a game-based learning environment for computational thinking acquisition. Journal of Computer Assisted Learning, 37(3), 839-850 https://doi.org/10.1111/jcal.12527

Israel-Fishelson, R., & Hershkovitz, A. (2019). Persistence and achievement in acquiring computational thinking concepts: A large-scale log-based analysis. In S. Carliner (Ed.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. Association for the Advancement of Computing in Education (AACE).

Israel-Fishelson, R., & Hershkovitz, A. (2022). One small step to man, a giant step to computational thinking: Improving student performances by promoting creativity. Seventeenth Chais Conference for the Study of Innovation and Learning Technologies, 36-46 [Hebrew].

ISTE and CSTA(2007). Operational definition of computational thinking for K-12 education.

Iwata, M. Laru, J., & Mäkitalo, K. (2020). Designing problem-based learning to develop computational thinking in the context of K-12 maker education. K. Kori K. & M. Laanpere (Eds.), proceedings of International Conference on Informatics in School: Situation, Evaluation and Perspectives, 103-106.

Jacobson, M. J., Kim, B., Pathak, S., & Zhang, B. (2015). To guide or not to guide: issues in the sequencing of pedagogical structure in computational model-based learning. Interactive Learning Environments, 23(6), 715-730. https://doi.org/10.1080/10494820.2013.792845

Jaipal-Jamani, K., & Angeli, C. (2017). Effect of robotics on elementary preservice teachers' self-efficacy, science learning, and computational thinking. Journal of Science Education and Technology, 26(2), 175-192.https://doi.org/10.1007/s10956-016-9663-z

Jansen, M., Kohen-Vacs, D., Otero, N., Milrad, M. (2018). A Complementary View for Better Understanding the Term Computational Thinking. In: Proceedings of the International Conference on Computational Thinking Education. 2018.

Jivet, I. (2016). The Learning tracker: a learner dashboard that encourages self-regulation in MOOC learners. Opgehaal van http://resolver.tudelft.nl/uuid:f6c2ede4-a4e3-4ff0-b681-b0d057854e3c

Jivet, I., Scheffel, M., Drachsler, H., & Specht, M. (2017). Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice. In É. Lavoué, H. Drachsler, K. Verbert, J. Broisin, & M. Pérez-Sanagustín (Reds), Data Driven Approaches in Digital Education(bll 82-96). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-66610-5_7

Jivet, I., Scheffel, M., Schmitz, M., Robbers, S., Specht, M., & Drachsler, H. (2020). From students with love: An empirical study on learner goals, self-regulated learning and sense-making of learning analytics in higher education. The Internet and Higher Education, 47,100758. https://doi.org/10.1016/j.iheduc.2020.100758

Johnson, C. C., Peters-Burton, E. E., & Moore, T. J. (Eds.).(2021). STEM Road Map 2.0: A Framework for Integrated STEM Education in the Innovation Age.Routledge. https://doi.org/10.4324/9781003034902

Jonassen, D. H. (2006). Modeling with technology: Mindtools for conceptual change. Upper Saddle River, New Jersey, USA: Pearson Merrill Prentice Hall

Judge, S., Puckett K. & Çabuk B. (2004). Digital equity: New findings from the early childhood longitudinal study. Journal of Research on Technology in Education, 36(4), 383-396. https://doi.org/10.1080/15391523.2004.10782421

Julià, C., & Antolí, J. Ò . (2019). Impact of implementing a long-term STEM-based active learning course on students' motivation. International Journal of Technology and Design Education 29, 303-327 https://doi.org/10.1007/s10798-018-9441-8

Kafai, Y. B., &Proctor, C. (2022).A Revaluation of Computational Thinking in K-12 Education: Moving Toward Computational Literacies. Educational Researcher, 51(2),146-151. https://doi.org/10.3102/0013189X211057904

Kafai, Y. B., Lee, E., Searle, K., Fields, D., Kaplan, E., & Lui, D. (2014). A crafts-oriented approach to computing in high school: Introducing computational concepts, practices, and perspectives with electronic textiles. ACM Transactions on Computing Education (TOCE),14(1), 1-20. https://doi.org/10.1145/2576874

Kalelioğlu, F. (2015). A new way of teaching programming skills to K-12 students: Code. org. Computers in Human Behavior, 52, 200-210. https://doi.org/10.1016/j.chb.2015.05.047

Karakoyun, F., & Lindberg, O. J. (2020). Preservice teachers' views about the twenty-first century skills: A qualitative survey study in Turkey and Sweden. Education and information technologies, 25(4), 2353-2369. https://doi.org/10.1007/s10639-020-10148-w

Kelley, T. R., & Knowles, J. G. (2016). A conceptual framework for integrated STEM education. International Journal of STEM Education,3(1), 1-11. https://doi.org/10.1186/s40594-016-0046-z

Kendi, I.X.(2016). Stamped from the beginning: The definitive history of racist ideas in America. Nation Books. https://doi.org/10.64628/AAI.vpmhknddm

Ker, C.L.,WadhwaB., Seow, P. S.K., & Looi, C.K. (2021). Bringing physical computing to an underserved community in an informal learning space. In C. K. Looi, B. Wadhwa, V. Dagiené, P. Seow, Y. H. Kee, & L. K. Wu (Eds.), Proceedings of the 5th APSCE International Computational Thinking and STEM in Education Conference 2021(pp. 101-106). Asia-Pacific Society for Computers in Education.

Khalil, M. K., & Elkhider, I. A. (2016). Applying learning theories and instructional design models for effective instruction. Advances in physiology education, 40(2), 147-156. https://doi.org/10.1152/advan.00138.2015

Kılıç, S., Gökoğlu, S., & Öztürk, M. (2021). A Valid and Reliable Scale for Developing Programming-Oriented Computational Thinking. Journal of Educational Computing Research, 59(2), 257-286. https://doi.org/10.1177/0735633120964402

Kim, D. (2017).The impact of learning management systems on academic performance: Virtual Competency and student Involvement.17(2), 13.

Kim, D.-H., & Kim, J.-H. (2003). A real-time limit-cycle navigation method for fast mobile robots and its application to robot soccer. Robotics and Autonomous Systems, 42(1), 17-30 https://doi.org/10.1016/S0921-8890(02)00311-1

Kiray, S. A. (2012). A new model for the integration of science and mathematics: The balance model. Energy Education Science and Technology Part B: Social and Educational Studies, 4(3), 1181-1196.

Koleszar, V., Pérez Spagnolo, A., & Pereiro, E. (2021).Pensamiento computacional en educación primaria: Elcaso de Uruguay. Jornadas Argentinas de Didáctica delas Ciencias de la Computación, Buenos Aires, Argentina.

Kong, S. (2019). Components and methods of evaluating computational thinking for fostering creative problem-solvers in senior primary school education. In S. Kong & H. Abelson (Eds.), Computational Thinking Education(pp. 119-142). Springer. https://doi.org/10.1007/978-981-13-6528-7_8

Kong, S. C., Abelson, H., & Lai, M. (2019). Introduction to Computational Thinking Education. In Kong, S . C. & Abelson, H. (eds). Computational Thinking Education. Singapore: Springer. https://doi.org/10.1007/978-981-13-6528-7

Korkmaz, Ö., Cakir, R., & Özden, M. Y. (2017). A Validity and Reliability Study of the Computational Thinking Scales (CTS). Computers in Human Behavior, 72, 558-569. https://doi.org/10.1016/j.chb.2017.01.005

Kozma, R. (2003). The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction, 13,205-226. https://doi.org/10.1016/S0959-4752(02)00021-X

Kozma, R., & Russell, J. (2005). Students becoming chemists: developing representational competence. In J. K. Gilbert (Ed.), Visualizations in science education(pp.121-146). Dordrecht, The Netherlands: Springer. https://doi.org/10.1007/1-4020-3613-2_8

Kucukkara, M. F. & Aksut, S. (2021). An example of unplugged coding education in preschool period: Activity-based algorithm for problem solvıng skills. Journal of Inquiry Based Activities, 11(2),81-91.

Kukul, V., & Karatas, S. (2019). Computational thinking self- efficacy scale: Development, validity and reliability. Informatics in Education, 18(1), 151-164. https://doi.org/10.15388/infedu.2019.07

Kuo, W. C., & Hsu, T. C. (2020). Learning computational thinking without a computer: How computational participation happens in a computational thinking board game. The Asia-Pacific Education Researcher, 29(1), 67-83. https://doi.org/10.1007/s40299-019-00479-9

Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. New York: Viking.

Kynigos, C., & Grizioti, M. (2018). Programming approaches to computational thinking: Integrating Turtle geometry, dynamic manipulation and 3D Space. Informatics in Education, 17(2), 321-340. https://doi.org/10.15388/infedu.2018.17

Laurillard, D. (2013). Teaching as a design science: Building pedagogical patterns for learning and technology. Routledge.

Learn for Life - Ready for the Future: Refreshing Our Curriculum and Skills future for Educators. (n.d.). Base. Retrieved March 14, 2022, from https://www.moe.gov.sg/news/press- releases/20200304-learn-for-life-ready-for-the-future-refreshing-our-curriculum-and-skillsfuture-for-educators

Leathem, T., Hillesheim, C., Coley, A., & McGregor, S. (2019). Student and teacher perspectives on a multi-disciplinary collaborative pedagogy in architecture and construction. Higher Education, Skills and Work-Based Learning, 9(1), 121-132. https://doi.org/10.1108/HESWBL-03-2018-0026

Lee, J., & Junoh, J. (2019). Implementing unplugged coding activities in early childhood classrooms. Early Childhood Education Journal, 47(6), 709-716. https://doi.org/10.1007/s10643-019-00967-z

Lee, J. (2020).Coding in early childhood. Contemporary Issues in Early Childhood, 21(3), 266-269. https://doi.org/10.1177/1463949119846541

Lee, I., & Malyn-Smith, J. (2020). Computational Thinking Integration Patterns Along the Framework Defining Computational Thinking from a Disciplinary Perspective. Journal of Science Education and Technology, 29(1), 9-18. https://doi.org/10.1007/s10956-019-09802-x

Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., ... & Werner, L. (2011). Computational thinking for youth in practice. ACM Inroads, 2(1), 32- 37. https://doi.org/10.1145/1929887.1929902

Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., Malyn-Smith, J., & Werner, L. (2011).Computational thinking for youth in practice.ACMInroads,2(1), 32-37. https://doi.org/10.1145/1929887.1929902

Lehmkuhl-Dakhwe, K. V. (2018). An instructional framework, model lessons, and professional learning program for science standards-aligned computing in 4th -12th grade classrooms. In 2018 IEEE Frontiers in Education Conference (pp. 1-5). https://doi.org/10.1109/FIE.2018.8658580

Leonard, J., Mitchell, M., Barnes-Johnson, J., Unertl, A., Outka-Hill, J., Robinson, R., & Hester-Croff, C. (2018). Preparing teachers to engage rural students in computational thinking through robotics, game design, and culturally responsive teaching. Journal of Teacher Education, 69(4), 386-407. https://doi.org/10.1177/0022487117732317

Li, X., & Gu, C. (2020). Teaching reform of programming basic course based on SPOC blended teaching method. 15th International Conference on Computer Science and Education, ICCSE 2020, 411-415 https://doi.org/10.1109/ICCSE49874.2020.9201802

Li, Y. (2016, October 12- 15). Teaching programming based on Computational Thinking. In 2016 IEEE Frontiers in Education Conference, Erie, PA, 1- 7. IEEE. https://doi.org/10.1109/FIE.2016.7757408

Li, Y., Li, B., Ruan, J., & Rong, X. (2011, September). Research of mammal bionic quadruped robots: A review. In 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM),166-171 https://doi.org/10.1109/RAMECH.2011.6070476

Li, Y., Schoenfeld, A. H., di Sessa, A. A., Graesser, A. C., Benson, L. C., English, L. D., & Duschl, R. A. (2020). On Computational Thinking and STEM Education. Journal for STEM Education Research, 3(2), 147-166. https://doi.org/10.1007/s41979-020-00044-w

Liu, J., Peng, P., & Luo, L. (2020). The Relation Between Family Socioeconomic Status and Academic Achievement in China: A Meta-analysis. Educational Psychology Review,32(1), 49-76. https://doi.org/10.1007/s10648-019-09494-0

Lodi, M. (2020). Informatical Thinking. Olympiads in Informatics: An International Journal, Vilnius University, International Olympiad in Informatics, 14,113-132. https://doi.org/10.15388/ioi.2020.09

Looi, C. K., How, M. L., Longkai, W., Seow, P., & Liu, L. (2018). Analysis of linkages between an unplugged activity and the development of computational thinking. Computer Science Education, 28(3), 255-279. https://doi.org/10.1080/08993408.2018.1533297

Looi, C.-K., Chan, S. W., Huang, W., Seow, P., & Longkai, W. U. (2020). Preservice Teachers' Views of Computational Thinking: STEM Teachers vs non-STEM Teachers. In S. C. Kong, H. U. Hoppe, T. C. Hsu, R. H. Huang, B. C. Kuo, K. Y. Li, C. K. Looi, M. Milrad, J. L. Shih, K. F. Sin, K. S. Song, M. Specht, F. Sullivan, & J. Vahrenhold (Eds.), Proceedings of International Conference on Computational Thinking Education 2020(pp. 73-76). The Education University of Hong Kong.

Lowe, T.,& Brophy, S.P. (2017). An Operationalized Model for Defining Computational Thinking. 2017 IEEEFrontiers in Education Conference (FIE), 1-8. https://doi.org/10.1109/FIE.2017.8190682

Lu, J. J., & Fletcher, G. H. (2009, March). Thinking about computational thinking. In Proceedings of the 40th ACM technical symposium on Computer science education(pp. 260-264). https://doi.org/10.1145/1508865.1508959

Lu, C., Macdonald, R., Odell, B., Kokhan, V., Demmans Epp, C., & Cutumisu, M. (2022). A scoping review of computational thinking assessments in higher education. Journal of Computing in Higher Education, 0123456789 https://doi.org/10.1007/s12528-021-09305-y

Lu, J., & Fletcher, G.(2009). Thinking about Computational Thinking. ACM Sigcse Bulletin, 41,260-264. https://doi.org/10.1145/1539024.1508959

Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12?. Computers in Human Behavior, 41, 51-61. https://doi.org/10.1016/j.chb.2014.09.012

Lyon, J. A., & J. Magana, A. (2020). Computational thinking in higher education: A review of the literature. Computer Applications in Engineering Education, 28(5), 1174-1189. https://doi.org/10.1002/cae.22295

Lyon, J. A., & J. Magana, A. (2020). Computational thinking in higher education: A review of the literature. Computer Applications in Engineering Education, 28(5), 1174-1189. https://doi.org/10.1002/cae.22295

Manches, A., & Ainsworth, S. (2022). Learning About Viruses: Representing COVID-19. Frontiers in Education, Volume 6:736744. https://doi.org/10.3389/feduc.2021.736744

Mannila, L., Nordén, L., & Pears, A. (2018). (2018). Digital competence, teacher self-efficacy and training needs. Proceedings of the 2018 ACM Conference on International Computing Education Research, pp. 78-85. https://doi.org/10.1145/3230977.3230993

Martinez, E., Romero, C., Carbonell, M. V., & Florez, M. (2012, July). On the geometry and design of four bar linkage mechanisms. In Proceedings of the 4th International Conference on Education and New Learning Technologies Barcelona, Barcelona, Spain, 2-4.

Matcha, W., Gašević, D., Jovanović, J., Uzir, N. A., Oliver, C. W., Murray, A., & Gasevic, D. (2020). Analytics of learning strategies: the association with the personality traits. Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, 151-160. https://doi.org/10.1145/3375462.3375534

Maxwell, D., & Hauff, C. (2021). LogUI: Contemporary Logging Infrastructure for Web-Based Experiments. Advances in Information Retrieval (Proc. ECIR), 525-530. https://doi.org/10.1007/978-3-030-72240-1_59

McLennan, D. P. (2017). Creating coding stories and games. Teaching Young Children, 10(3). https://www.naeyc.org/resources/pubs/tyc/feb2017/creating-coding-stories-and-games.

Merino-Armero, J. M., González-Calero, J. A., Cózar-Gutiérrez, R., & Del Olmo-Muñoz, J. (2022). Unplugged Activities in Cross-Curricular Teaching: Effect on Sixth Graders' Computational Thinking and Learning Outcomes. Multimodal Technologies and Interaction, 6(2). https://doi.org/10.3390/mti6020013

Metcalf, S. J., Reilly, J. M., Jeon, S., Wang, A., Pyers, A., Brennan, K., & Dede, C. (2021). Assessing computational thinking through the lenses of functionality and computational fluency. Computer Science Education, 31(2), 199-223. https://doi.org/10.1080/08993408.2020.1866932

Miller, E. S. (2021, July). Designing Interactive Storytelling Games to Teach Computational Thinking. In International Conference on Human-Computer Interaction (pp. 342-351). Springer, Cham. https://doi.org/10.1007/978-3-030-77277-2_26

Mills, K., Coenraad,M., Ruiz, P., Burke, Q., & Weisgrau, J. (2021). Computational Thinking for an Inclusive World: A Resource for Educators to Learn and Lead. Digital Promise. https://doi.org/10.51388/20.500.12265/138

Milton, M., Rohl, M., & House, H. (2007). Secondary beginning teacher's preparedness to teach literacy and numeracy: A survey. Australian Journal of Teacher Education (Online), 32(2), 37-56. https://doi.org/10.14221/ajte.2007v32n2.4

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers' college record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers college record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers college record,108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Mishra, P., Yadav, A, Henriksen, D. et al.(2013). Rethinking Technology & Creativity in the 21st Century: Of Art & Algorithms. Tech Trends. 57,10-14. https://doi.org/10.1007/s11528-013-0655-z

Mishra, P., Yadav, A., & Deep-Play Research Group. (2013). Rethinking technology & creativity in the 21st century. Tech Trends, 57(3), 10-14. https://doi.org/10.1007/s11528-013-0655-z

Mladenović, M., Boljat, I., & Žanko, Ž. (2018). Comparing loops misconceptions in block-based and text-based programming languages at the K-12 level. Education and Information Technologies, 23(4), 1483-1500. https://doi.org/10.1007/s10639-017-9673-3

Moller F, & Powell, S. (2019). Technoteach: Supporting Computing Teachers Across Wales. Proceedings of WiPSCE'19: the 14th Workshop in Primary and Secondary Computing Education, Article No. 9, ACM Press https://doi.org/10.1145/3361721.3361736

Moller, F., & Crick, T. (2018). A University-based Model for Supporting Computer Science Curriculum Reform. Journal of Computers in Education 5:415-434. https://doi.org/10.1007/s40692-018-0117-x

Moreno-León, J., Robles, G., & Román-González, M. (2015). Dr. Scratch: Automatic analysis of scratch projects to assess and foster computational thinking. RED. Revista de Educación a Distancia, 15(46), 1-23.

Moreno-León, J., Román-González, M., & Robles, G. (2018, April). On computational thinking as a universal skill: A review of the latest research on this ability. In2018 IEEE Global Engineering Education Conference(EDUCON) 1684-1689. IEEE. https://doi.org/10.1109/EDUCON.2018.8363437

Mozelius, P., & Öberg, L. (2017). (2017). Play‐based learning for programming education in primary school: The östersund model. Paper presented at the European Conference on E-Learning-ECEL 2017, Porto, Portugal, 26-27 October 2017, 16. pp. 375-383.

Munz, P., Hudea, I., Imad, J., & Smith, R. ( 2009). When zombies attack: Mathematical modelling of an outbreak of zombie infection. In Infectious Disease Modelling Research Progress, J.M. Tchuenche & C. Chiyaka (eds), Nova Science, Happuage, NY, 133-156.

Muro, M., Liu, S., Whiton, J. & Kulkari, S. (2017). Digitalization and the American workforce. The Brookings Institute. Online at https://www.brookings.edu/research/digitalization-and-the-american-workforce/

Myant, K. A., & Williams, J. M. (2005). Children's Concepts of Health and Illness: Understanding of Contagious Illnesses, Non-contagious Illnesses and Injuries. J. Health Psychol. 10 (6), 805-819. https://doi.org/10.1177/1359105305057315

National Association for the Education of Young Children, (2020). Developmentally appropriate practice: A position statement of the National Association for the Education of Young Children. Online at https://www.naeyc.org/sites/default/files/globally-shared/downloads/PDFs/resources/position-statements/dap-statement_0.pdf

National Center for O*NET Development. O*NETOnLine. Retrieved July 26, 2021, from https://www.onetonline.org/8.

National Research Council & Others. (2010). Report of a workshop on the scope and nature of computational thinking. National Academies Press.

National Research Council & Others. (2011). Report of a workshop on the pedagogical aspects of computational thinking. National Academies Press.

National Research Council (NRC) (2011) Report of a workshop of pedagogical aspects of computational thinking. The National Academies Press, Washington, DC

National Research Council (NRC). 2010. Report of a workshop on the scope and nature of computational thinking. The National Academies Press.

NGSS Lead States (2013) Next generation science standards: for states, by states. The National Academies Press, Washington, DC

Niculescu-Mizil, A., Perlich, c., Swirsz, G., Sindhwani, V.,Liu, Y., Melville, P., Wang, D., Xiao, J., Hu, J., Moninder, S. (2009). Winning the KDD Cup Orange Challenge with Ensemble Selection - Journal of Machine Learning Research, W&CP 7, pp. 23-34.

Nishida, T., Kanemune, S., Idosaka, Y., Namiki, M., Bell, T., Kuno, Y. (2009). A CS unplugged design pattern. ACM SIGCSE Bulletin, 41(1), 231-235. https://doi.org/10.1145/1539024.1508951

Nouri, J., Zhang, L., Mannila, L., & Norén, E. (2020). Development of computational thinking, digital competence and 21st century skills when learning programming in K-9.Education Inquiry, 11(1), 1-17. https://doi.org/10.1080/20004508.2019.1627844

O'kane, L. (2019). Computing pedagogy. I comput-uk. Retrieved February 3, 2022, from http://www.icompute-uk.com/news/computing-pedagogy/.

Obama, B. (2017). Computer science for all. Retrieved from White House: https://www.whitehouse.gov/blog/2016/01/30/computer-science-all

Oleson, A., Hora, M., & Benbow, R. J. (2014). What is a STEM job? How different interpretations of the acronym result in disparate labor market projections. Viewpoint paper, 1.

Organisation for Economic Co-operation and Development. (2008). 21stcentury learning: Research, innovation and policy: Directions from recent OECD analyses.

Othman, S.M., Ba-Alwi, F.M., Alsohybe, N.T., & Al-Hashida, A.Y. (2018). Intrusion detection model using machine learning algorithm on Big Data environment. Journal of Big Data, 5:34, 1-12. https://doi.org/10.1186/s40537-018-0145-4

Ottenbreit-Leftwich, A., Yadav, A., & Mouza, C. (2021). Preparing the Next Generation of Teachers: Revamping Teacher Education for the 21st Century. In Computational Thinking in Education (pp. 151-171). Routledge. https://doi.org/10.4324/9781003102991-9

Ottenbreit-Leftwich, A., Yadav, A., & Mouza, C. (2021). Preparing the Next Generation of Teachers: Revamping Teacher Education for the 21st Century. In Computational Thinking in Education, 151-171, Routledge. https://doi.org/10.4324/9781003102991-9

Paas, F., & Van Merriënboer, J. J. G. (2020). Cognitive-load theory: Methods to manage working memory load in the learning of complex tasks. Current directions in Psychological Science, 29(4), 394-398. https://doi.org/10.1177/0963721420922183

Papadakis, S., & Kalogiannakis, M. (2022). Exploring preservice teachers' attitudes about the usage of educational robotics in preschool education. In Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom (pp. 807-823). IGI Global. https://doi.org/10.4018/978-1-6684-2411-7.ch035

Papert, S., & Harel, I. (1991). Situating constructionism. Constructionism, 36(2), 1-11.

Papert, S. (1980) Mindstorms: Children, Computers, and Powerful Ideas. New York: Basic Books.

Papert, S. (1980). Children, computers and powerful ideas. In. New York: Basic Books.

Papert, S. (1980). Mindstorms: Children, Computers and Powerful Ideas (1st Edition).New York, Basic Books.

Papert, S. (1980). Mindstorms: Children, Computers, and Powerful Ideas. USA: Basis Books, Inc.

Parsazadeh, N., Cheng, P.-Y., Wu, T.-T., & Huang, Y.-M. (2021). Integrating computational thinking concept into digital storytelling to improve learners' motivation and performance. Journal of Educational Computing Research, 59(3), 470-495. https://doi.org/10.1177/0735633120967315

Patton, M. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage publications.

Peel, A., & Friedrichsen, P. (2017). Algorithms, Abstractions, and Iterations: Teaching Computational Thinking Using Protein Synthesis Translation. The American Biology Teacher, 80(1), 21-28. https://doi.org/10.1525/abt.2018.80.1.21

Peel, A., & Friedrichsen, P. (2018). Algorithms, abstractions, and iterations: teaching computational thinking using protein synthesis translation. The American Biology Teacher, 80(1), 21-28. https://doi.org/10.1525/abt.2018.80.1.21

Peel, A., Fulton, J., & Pontelli, E. (2015). DISSECT: An experiment in infusing computational thinking in a sixth grade classroom. In 2015 IEEE Frontiers in Education Conference (pp. 1-8). https://doi.org/10.1109/FIE.2015.7344240

Pei, C. (yu), Weintrop, D., & Wilensky, U. (2018). Cultivating Computational Thinking Practices and Mathematical Habits of Mind in Lattice Land. Mathematical Thinking and Learning, 20(1), 75-89. https://doi.org/10.1080/10986065.2018.1403543

Petrović, J., & Pale, P. (2017). Decision trees in formative procedural knowledge assessment. In 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 17-20). https://doi.org/10.23919/MIPRO.2017.7973383

Pintrich, P. R., & Others. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). https://doi.org/10.1037/t09161-000

Pivec, M. (2007). Play and learn: potentials of game‐based learning. British journal of educational technology, 38(3), 387-393. https://doi.org/10.1111/j.1467-8535.2007.00722.x

Pollock, L., Mouza, C., Guidry, K. R., & Pusecker, K. (2019). Infusing Computational Thinking Across Disciplines: Reflections & Lessons Learned. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 435-441. https://doi.org/10.1145/3287324.3287469

Poulakis, E., & Politis, P. (2021). Computational Thinking Assessment: Literature Review. Research on E-Learning and ICT in Education, 111-128. https://doi.org/10.1007/978-3-030-64363-8_7

Price, C. B., & Price-Mohr, R. (2021). Exploring gender differences in primary school computer programming classes: A study in an English state-funded urban school. Education 3-13, 1-14. https://doi.org/10.1080/03004279.2021.1971274

Qin, H. (2020). Machine learning and serving of discrete field theories. Scientific Reports, 10(1), 19329. https://doi.org/10.1038/s41598-020-76301-0

Ramey, Craig T., and Sharon L. Ramey (2004). "Early Learning and School Readiness: Can Early Intervention Make a Difference?" Merrill-Palmer Quarterly 50, no. 4:471-91 https://doi.org/10.1353/mpq.2004.0034

Rekimoto, J. (2000). Multiple-computer user interfaces: beyond the desktop direct manipulation environments. Paper presented at the Conference on Human Factors in Computing Systems, The Hague, Netherlands. https://doi.org/10.1145/633292.633297

Relkin, E., De Ruiter, L., & Bers, M. U. (2020). TechCheck: Development and validation of an unplugged assessment of computational thinking in early childhood education. Journal of Science Education and Technology, 29(4), 482-498 https://doi.org/10.1007/s10956-020-09831-x

Repenning, A. (1993). Agent sheets: A tool for building domain-oriented visual programming. Conference on Human Factors in Computing Systems. 142-143. https://doi.org/10.1145/169059.169119

Resnick, M. (2003). Playful learning and creative societies. Education Update, 8(6). http://web.media.mit.edu/wmres/papers/education-update.pdf.

Resnick, M. (2014).GIVE P'S A CHANCE: PROJECTS, PEERS, PASSION, PLAY. 8

Resnick, M., & Silverman, B. (2005). Some reflections on designing construction kits for kids. Proceeding of the 2005 Conference on Interaction Design and Children - IDC '05, 117-122 https://doi.org/10.1145/1109540.1109556

Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., ... & Kafai, Y. (2009). Scratch: programming for all. Communications of the ACM, 52(11), 60- 67. https://doi.org/10.1145/1592761.1592779

Reynolds, M., & Holwell, S. (Eds.). (2020). Systems approaches to making change: A practical guide. London: Springer. https://doi.org/10.1007/978-1-4471-7472-1

Reynolds, M., Blackmore, C., Ison, R., Shah, R., & Wedlock, E. (2018). The role of systems thinking in the practice of implementing sustainable development goals. In Handbook of sustainability science and research (pp. 677- 698). Springer, Cham. https://doi.org/10.1007/978-3-319-63007-6_42

Rich, P. J., Hu, H., Christensen, J., & Ellsworth, J. (2019).The Landscape of Computing Education in Utah. Grantee Submission.

Rich, P. J., Egan, G., & Ellsworth, J. (2019, July). A framework for decomposition in computational thinking. In Proceedings of the 2019 ACM conference on innovation and technology in computer science education, 416-421. https://doi.org/10.1145/3304221.3319793

Rich, P. J., Egan, G., & Ellsworth, J.(2019).A Framework for Decomposition in Computational Thinking. In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education(ITiCSE'19),416-421. https://doi.org/10.1145/3304221.3319793

Riedmiller, M., & Gabel, T. (2007). On experiences in a complex and competitive gaming domain: Reinforcement learning meets robocup. Paper presented at the 2007 IEEE Symposium on Computational Intelligence and Games. https://doi.org/10.1109/CIG.2007.368074

Rodríguez-Martínez, J. A., González-Calero, J. A., & Sáez-López, J. M. (2020). Computational thinking and mathematics using Scratch: An experiment with sixth-grade students. Interactive Learning Environments, 28(3), 316-327. https://doi.org/10.1080/10494820.2019.1612448

Rojas-Mancilla, E., Conei, D., Bernal, Y. A., Astudillo, D., & Contreras, Y. (2019). Learning Histology Through Game-Based Learning Supported by Mobile Technology. International Journal of Morphology, 37(3),904-906. https://doi.org/10.4067/S0717-95022019000300903

Rom An-Gonz Alez, M., P Erez-Gonz Alez, J.-C., & Jim Enez-Fern Andez, C. (2016). Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test. Computers in Human Behavior https://doi.org/10.1016/j.chb.2016.08.047

Román-González, M., Moreno-León, J., & Robles, G. (2019). Combining assessment tools for a comprehensive evaluation of computational thinking interventions. In S. Kong & H. Abelson (Eds.), Computational Thinking Education (pp. 79-98). Springer. https://doi.org/10.1007/978-981-13-6528-7_6

Román-González, M., Pérez-González, J., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? criterion validity of the computational thinking test. https://doi.org/10.1016/j.chb.2016.08.047

Rose, S. P., Habgood, J. M. P., & Jay, T. (2017). An exploration of the role of visual programming tools in the development of young children's computational thinking. Electronic Journal of e-Learning,15(4), 297-309. https://doi.org/10.34190/ejel.15.4.2368

Rotem, I-F, Hershkovitz, A., Eguíluz, A., Garaizar, P., & Guenaga, M. (2020) The Associations Between Computational Thin king and Creativity: The Role of Personal Characteristics, Journal of Educational Computing Research, 58(1), 1415-1447. https://doi.org/10.1177/0735633120940954

Rothwell, J. (2013). The hidden STEM economy. Metropolitan Policy Program at Brookings.

Salomon, G., & Perkins, D.N.(1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon. Educational Psychologist, 24(2), 113-142. https://doi.org/10.1207/s15326985ep2402_1

Salzberg, S., Delcher, A.L., Fasman, K.H. and Henderson, J. (1998) A decision tree system for finding genes in DNA, Journal of Computational Biology, 5, 667-680 https://doi.org/10.1089/cmb.1998.5.667

Samaey, G., Van Remortel,J.,Bersini,H.et al.(2014). Informaticawetenschappen in het leerplichtonderwijs. Standpunten nr. 27. Brussel: KVAB.

Sanders, K., & McCartney, R. (2016). Threshold concepts in computing: Past, present, and future. Proceedings of the 16th Koli Calling international conference on computing education research, Finland. https://doi.org/10.1145/2999541.2999546

Sands P., Yadav A., Good J. (2018) Computational Thinking in K -12: In-service Teacher Perceptions of Computational Thinking. In Khine M. (eds) Computational Thinking in the STEM Disciplines. Springer, Cham. https://doi.org/10.1007/978-3-319-93566-9_8

Sands, P., Yadav, A., & Good, J. (2018). Computational Thinking in K-12: In-service Teacher Perceptions of Computational Thinking. In M. S. Khine (Ed.), Computational Thinking in the STEM Disciplines: Foundations and Research Highlights (pp. 151-164). Springer International Publishing. https://doi.org/10.1007/978-3-319-93566-9_8

Sands, P., Yadav,A. & Good, J. (2018). Computational Thinking in K-12: In-service Teacher Perceptions of Computational Thinking: Foundations and Research Highlights. Computational Thinking in the STEM Disciplines: Foundations and Research Highlights, 151-164. https://doi.org/10.1007/978-3-319-93566-9_8

Sapounidis, T., Demetriadis, S., & Stamelos, I. (2015). Evaluating children performance with graphical and tangible robot programming tools. Personal and Ubiquitous Computing, 19(1), 225-237 https://doi.org/10.1007/s00779-014-0774-3

Saqr, M., Ng, K., Oyelere, S. S., & Tedre, M. (2021). People, ideas, milestones: A scientometric study of computational thinking. ACM Transactions on Computing Education (TOCE), 21(3), 1-17. https://doi.org/10.1145/3445984

Saqr, M., Ng, K., Oyelere, S. S., & Tedre, M. (2021). People, ideas, milestones: a scientometric study of computational thinking. ACM Transactions on Computing Education (TOCE), 21(3), 1-17. https://doi.org/10.1145/3445984

Sarasa-Cabezuelo, A. (2019). Use of Scratch for the teaching of second languages. International Journal of Emerging Technologies in Learning, 14(21), 80-95. https://doi.org/10.3991/ijet.v14i21.11217

Sawyer, R. K. (2014). The future of learning: Grounding educational innovation in the learning sciences. The Cambridge handbook of the learning sciences, 726-746. https://doi.org/10.1017/CBO9781139519526.043

Saxena, A., Lo, C. K., Hew, K. F., & Wong, G. K. W. (2020). Designing unplugged and plugged activities to cultivate computational thinking: An exploratory study in early childhood education. The Asia-Pacific Education Researcher, 29(1), 55-66. https://doi.org/10.1007/s40299-019-00478-w

Schank, R., & Childers, P. (1988) The Creative Attitude. New York: Macmillan Publishing Company.

Scherer, R., Siddiq, F., & Sánchez Viveros, B. (2019). The cognitive benefits of learning computer programming: A meta-analysis of transfer effects. Journal of Educational Psychology, 111(5), 7640792. https://doi.org/10.1037/edu0000314

Schez-Sobrino, S., Vallejo, D., Glez-Morcillo, C., Redondo, M. A., & Castro-Schez, J. J. (2020). RoboTIC: A serious game based on augmented CTE-STEM 2022 reality for learning programming. Multimedia Tools and Applications, 79(45 -46), 34079-34099. https://doi.org/10.1007/s11042-020-09202-z

Schwendimann, B. A., Rodriguez-Triana, M. J., Vozniuk, A., Prieto, L. P., Boroujeni, M. S., Holzer, A., ... Dillenbourg, P. (2016). Perceiving learning at a glance: A systematic literature review of learning dashboard research. IEEE Transactions on Learning Technologies, 10(1), 30-41. https://doi.org/10.1109/TLT.2016.2599522

Scriber, B. ( 2009). What Can Zombies Teach Us About Swine Flu? National Geographic, 12 August 2009.

Selby, C. C. (2015, November). Relationships: computational thinking, pedagogy of programming, and Bloom's Taxonomy. In Proceedings of the workshop in primary and secondary computing education, 80- 87. https://doi.org/10.1145/2818314.2818315

Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition. Retrieved January, 12, 2022 from https://core.ac.uk/download/pdf/17189251.pdf

Selby, C.(2015). Relationships: computational thinking, pedagogy of programming, and Bloom's Taxonomy. In Proceedings of the Workshop in Primary and Secondary Computing Education(WiPSCE'15),80-87. https://doi.org/10.1145/2818314.2818315

Selby, C., & Woollard, J. (2013). Computational Thinking: the Developing Definition. Retrieved January 5, 2022, from http://eprints.soton.ac.uk/356481

Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition. Conference: Special Interest Group on Computer Science Education (SIGCSE), 2014. URL http://eprints.soton.ac.uk/id/eprint/356481

Selby, C., &Woollard, J.(2013).Computational Thinking: the Developing Definition. University of Southampton (E-prints).

Selby, C., Dorling, M., & Woollard, J. (2014). Evidence of assessing computational thinking.

Sengupta, P., Kinnebrew, J. S., Basu, S., Biswas, G., & Clark, D. (2013). Integrating computational thinking with K-12 science education using agent-based computation: a theoretical framework. Education and Information Technologies, 18,351e380. https://doi.org/10.1007/s10639-012-9240-x

Settle, A., Franke, B., Hansen, R., Spaltro, F., Jurisson, C., Rennert-May, C., & Wildeman, B. (2012). Infusing computational thinking into the middle-and high-school curriculum. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 22-27. https://doi.org/10.1145/2325296.2325306

Settle, A., Franke, B., Hansen, R., Spaltro, F., Jurisson, C., Rennert-May, C., & Wildeman, B.,(2012).Infusing computational thinking into the middle-and high-school curriculum. In proceedings of the annual meeting of the ACM ITiCSE'12,July 3-5, 2012, Haifa, Israel. https://doi.org/10.1145/2325296.2325306

Sherwood, H., Martin, W., Rivera-Cash, E. Yan, W., Adair, A., Pierce, M. Liu, R., Fancsali, C., Israel, M. (2021). Diverse approaches to school-wide computational thinking integration at the elementary grades: A cross-case analysis. In Proceedings of the 52ndACM Technical Symposium on Computer Science Education (SIGCSE '21),March 13-20, 2021, Virtual Event, USA.ACM, New York, NY, USA, 7 pages https://doi.org/10.1145/3408877.3432379

Sherwood, H., Yan, W., Liu, R., Martin, W., Adair, A., Fancsali, C., Rivera-Cash, E., Pierce, M., & Israel, M. (2021). Diverse Approaches to School-wide Computational Thinking Integration at the Elementary Grades: A Cross-case Analysis. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 253 -259. https://doi.org/10.1145/3408877.3432379

Shigemasu, K., Yokoyama, A., Stern, S., & Komazaki, H. (1993) Comparison of Creative Attitudes between American and Japanese Students: A Factor Analytical Study, The Journal of Japanese Journal of Psychology, 64(3), 181-190. (in Japanese) https://doi.org/10.4992/jjpsy.64.181

Shih, J. -L., Huang, S. H., Lin, C. H., & Tseng, C. C. (2017). STEAMing the Ships for the Great Voyage: Design and Evaluation of a Technology integrated Maker Game. IxD&A, 34, 61-87. https://doi.org/10.55612/s-5002-034-004

Shih, J.-L. (2016). Computational Thinking in the Interdisciplinary Robotic Game: the CHARM of STEAM. In S.-C. Kong & Harold Abelson (Eds.). Computational Thinking Education in K-12. Boston: MIT Press.

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158 https://doi.org/10.1016/j.edurev.2017.09.003

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003

Shute, V. J., Sun, C., & Jodi Asbell-Clarke b. (2017) Demystifying Computational Thinking, Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158.

https://doi.org/10.1016/j.edurev.2017.09.003

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003

Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017).Demystifying computational thinking. Educational Research Review,22, 142-158. https://doi.org/10.1016/j.edurev.2017.09.003

Siekmann, G., & Korbel, P. (2016). Defining "STEM" skills: review and synthesis of the literature. Support document, 2.

Sigelman, C. K., & Rider, E. A. (2012). Life-span human development(7thed.). Belmont: Wadsworth.

Singh, Rakesh and Kotecha, Radhika, Quadruped Robot Gait Planning for Enhanced Locomotion and Stability (April 8, 2020). Proceedings of the 3rd International Conference on Advances in Science & Technology (ICAST). https://doi.org/10.2139/ssrn.3572191

Skolverket (2021). Curriculum for the compulsory school, preschool class and school-age education. Skolverket. Retrieved January10, 2022, fromhttps://www.skolverket.se/getFile?file=3984

Sleeman, D., Putnam, R. T., Baxter, J., & Kuspa, L. (1986). Pascal and high school students: A study of errors. Journal of Educational Computing Research, 2(1), 5-23. https://doi.org/10.2190/2XPP-LTYH-98NQ-BU77

Smith, R . (2014). Mathematical Modelling of Zombies. University of Ottawa Press. https://doi.org/10.1353/book36172

SOC: Standard Occupational Classification Manual (2019).Attachment A: Options for Defining STEM occupations under the 2018 SOC system; SOC Policy Committee recommendation to the Office of Management and Budget.

Sondag, M., Turkay, C., Xu, K., Matthews, L., Mohr S., & Archambault D. ( 2022). Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response, Computer Graphics Forum. https://doi.org/10.1111/cgf.14520

Sondakh, D. E., Osman, K., & Zainudin, S. (2020). A Pilot Study of an Instrument to Assess Undergraduates' Computational thinking Proficiency. International Journal of Advanced Computer Science and Applications, 11(11), 263-273. https://doi.org/10.14569/IJACSA.2020.0111134

Soosai Raj, A. G., Ketsuriyonk, K., Patel, J. M., & Halverson, R. (2018). (2018). Does native language play a role in learning a programming language? Proceedings of the 49th ACM Technical Symposium on Computer Science Education, pp. 417-422. https://doi.org/10.1145/3159450.3159531

Specht, M. (n.d.). Professor Marcus Specht Keynote Speaker CTE 2020 | Centre for Education and Learning. Retrieved March 17, 2022, from https://www.educationandlearning.nl/news/professor-marcus-specht-keynote-speaker-cte-2020

Stake, R., E. (1994). Case study: Composition and performance. Bulletin of the Council for Research in Music Education, 31-44

Statter, D., & Armoni, M. (2016). Teaching Abstract Thinking I nIntroduction to Computer Science for 7th Graders. In Proceedings of the 11th Workshop in Primary and Secondary Computing Education (WiPSCE '16), 80-83. https://doi.org/10.1145/2978249.2978261

STEM Education Act of 2014. (2014, July 15). Text -H.R.5031 - 113th Congress (2013-2014): https://www.congress.gov/bill/113th-congress/house-bill/5031/text

Storksdieck, M. (2011). STEM or STEAM. The Art of Science Learning. Retrieved October 14, 2011, from http://scienceblogs.com/art_of_science_learning/2011/04/stem_or_steam.php.

Strawhacker, A., Lee, M., & Bers, M. U. (2018). Teaching tools, teachers' rules: exploring the impact of teaching styles on young children's programming knowledge in ScratchJr. International Journal of Technology and Design Education, 28(2), 347-376. https://doi.org/10.1007/s10798-017-9400-9

Sullivan, A., & Bers, M. U. (2016). Robotics in the early childhood classroom: Learning outcomes from an 8-week robotics curriculum in pre-kindergarten through second grade. International Journal of Technology and Design Education, 26(1), 3-20. https://doi.org/10.1007/s10798-015-9304-5

Taliancich-Klinger, C. L., Bedore, L. M., & Peña, E. D. (2018). Preposition accuracy on a sentence repetition task in school age Spanish-English bilinguals. Journal of Child Language, 45(1), 97-119. https://doi.org/10.1017/S0305000917000125

Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148. https://doi.org/10.1016/j.compedu.2019.103798

Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: Systematic review of empirical studies, https://doi.org/10.1016/j.compedu.2019.103798

Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148, 103798. https://doi.org/10.1016/j.compedu.2019.103798

Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers and Education, 148, 103798. https://doi.org/10.1016/j.compedu.2019.103798

Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education,148, 103798. https://doi.org/10.1016/j.compedu.2019.103798

Tanju Aslışen, E. H. (2021). Storigami in Early Childhood Education: Origami and Story Fellowship. Ankara: Eğiten Kitap.

Taslibeyaz, E., Kursen, E., & Karaman, S. (2020). How to Develop Computational Thinking: A Systematic Review of Empirical Studies. Informatics in Education, 19(4), 701-719. https://doi.org/10.15388/infedu.2020.30

Tedre, M., & Denning, P. J. (2016). The long quest for computational thinking. ACM International Conference Proceeding Series, 120-129. https://doi.org/10.1145/2999541.2999542

Terefe, T. O., Lemu, H. G., & K/Mariam, A. (2019). Review and synthesis of a walking machine (Robot) leg mechanism. MATEC Web of Conferences, 290, 08012. https://doi.org/10.1051/matecconf/201929008012

Thijs, A., Fisser, P., &Hoeven, M. van der.(2014). 21eeeuwse vaardigheden in het curriculum van het funderend onderwijs: een conceptueel kader. Enschede: SLO.

Tsacoumis, S., & Willison, S. (2010). O* NET® Analyst Occupational Skill Ratings: Procedures. Alexandria, VA:Human Resources Research Organization.

Turchi, T., Fogli, D., & Malizia, A. (2019). Fostering computational thinking through collaborative game-based learning. Multimedia Tools and Applications, 78(10), 13649-13673. https://doi.org/10.1007/s11042-019-7229-9

U.S. Department of Education, National Center for Educational Statistics (2021). The condition of education 2021 (NCES 2021-144).Children's internet access at home. Online at https://nces.ed.gov/fastfacts/display.asp?id=46

UIS (2021). Digital Competence in Teacher Education in the Nordic Countries. UIS. Retrieved February 10, 2022, from https://www.uis.no/en/teachers-professional-digital-competence

Ünan, Z., Aksan, Z. & Çelikler, D. (2016). The modelling of living beings with origamı by preschool teacher candidates. Journal of Research in Education and Teaching, 5, 165-174.

Van Buuren, O., Heck, A. & Ellermeijer, T. Understanding of Relation Structures of Graphical Models by Lower Secondary Students. Res Sci Educ46,633 -666 (2016). https://doi.org/10.1007/s11165-015-9474-x

Van Laar, E., Van Deursen, A. J., Van Dijk, J. A., & De Haan, J. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in human behavior, 72, 577-588. https://doi.org/10.1016/j.chb.2017.03.010

Vars,G.F.(1991). Integrated curriculum in historical perspective. Educational Leadership, 10, 14-15.

Vasquez, J. A., Comer, M., & Sneider, C. (2013). STEM lesson essentials, grades 3-8: Integrating science, technology, engineering, and mathematics. Portsmouth, NH: Heineman.

Vinu Varghese, V. V., & Renumol, V. G. (2021). Assessment methods and interventions to develop computational thinking - A literature review. 2021 International Conference on Innovative Trends in Information Technology, ICITIIT 2021. https://doi.org/10.1109/ICITIIT51526.2021.9399606

Voogt, J., Erstad, O., Dede, C.et al. (2013). Challenges to learning and schooling in the digital networked world of the 21st century. Journal of Computer Assisted Learning, 29. https://doi.org/10.1111/jcal.12029

Voogt, J., Fisser, P., Good, J.et al. (2015). Computational thinking in compulsory education: Towards an agenda for research and practice. Education and Information Technologies, 20. Weintrop, D., Beheshti, E., Horn, M. et al. (2016).Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25, 127-147. https://doi.org/10.1007/s10639-015-9412-6

Voogt, J.,& Roblin, N. P.(2012).A Comparative Analysis of International Frameworks for 21stCentury Competences: Implications for National Curriculum Policies. Journal of Curriculum Studies,44(3),299-321. https://doi.org/10.1080/00220272.2012.668938

Voskoglou, M. G., & Buckley, S. (2012). Problem solving and computational thinking in a learning environment. Egyptian Computer Science Journal, 36(4), 18.

Wahde, M. (2012). Introduction to autonomous robots. Lecture Notes from the course Autonomous Agents, Chalmers university of technology.

Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236-244. https://doi.org/10.1080/01621459.1963.10500845

Waterman, K.P., Goldsmith, L., & Pasquale, M. (2020). Integrating computational thinking into elementary science curriculum: An examination of activities that support students' computational thinking in the service of disciplinary learning. Journal of Science Education and Technology 29 (1), 53-64. https://doi.org/10.1007/s10956-019-09801-y

Weintrop, D., & Wilensky, U. (2015). Using commutative assessments to compare conceptual understanding in blocks-based and text-based programs. ICER, 15, 101-110. https://doi.org/10.1145/2787622.2787721

Weintrop, D., Wise Rutstein, D., Bienkowski, M., & McGee, S. (2021). Assessing computational thinking: an overview of the field. Computer Science Education, 31(2), 113-116 https://doi.org/10.1080/08993408.2021.1918380

Weintrop, D., & Wilensky, U. (2013). RoboBuilder: a computational thinking game. In Proceedings of the 44thSIGSCE Technical Symposium on Computer Science Education(p. 736). https://doi.org/10.1145/2445196.2445430

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127-147. https://doi.org/10.1007/s10956-015-9581-5

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127-147. https://doi.org/10.1007/s10956-015-9581-5

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science class-rooms. Journal of science education and technology, 25(1), 127-147. https://doi.org/10.1007/s10956-015-9581-5

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining Computational Thinking for Mathematics and Science Classrooms. Journal of Science Education and Technology, 25(1), 127-147. https://doi.org/10.1007/s10956-015-9581-5

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U., (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25, 127-147. https://doi.org/10.1007/s10956-015-9581-5

Wheeler, D.L., Barrett, T., Benson, D.A., Bryant, S.H., Canese, K., ... & Yaschenko, E. (2006) Database resources of the National Center for Biotechnology Information. Nucleic Acids Research, 34(suppl_1) D173-D180 https://doi.org/10.1093/nar/gkj158

Wilensky, U. (1999). NetLogo. Center for Connected Learning and Computer-Based Modelling (http://ccl.northwestern.edu/netlogo).Northwestern University, Evanston, IL

Wilensky, U., & Rand, W. (2015). An introduction to agent-based modeling: modeling natural, social, and engineered complex systems with NetLogo. MIT Press.

Williams, M. (2020). Fifth graders' use of gesture and models when translanguaging during a content and language integrated science class in Hong Kong. International Journal of Bilingual Education and Bilingualism, 1-20. https://doi.org/10.1080/13670050.2020.1754752

Wing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35. Retrieved March 9, 2022 from https://dl.acm.org/doi/fullHtml/10.1145/1118178.1118215 https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. 49(3), 223. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2010). Computational Thinking: What and Why? The Link Magazine. Retrieved May 4, 2022, from https://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf

Wing, J. M.(2006).Computational thinking. Communications of the ACM,49(3),33-35 https://doi.org/10.1145/1118178.1118215

Wing, J. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-36. https://doi.org/10.1145/1118178.1118215

Wing, J. (2011). Research notebook: Computational thinking-What and why. The link magazine, 6, 20-23

Wing, J. M. (2006). Computational thinking. Communications of the ACM,49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking test. CACM Viewpoint, 33-35. Retrieved from cs.cmu.edu/~wing/ https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the Acm, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the ACM,49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. http://www.cs.cmu.edu/~wing/ https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 366(1881), 3717-3725. https://doi.org/10.1098/rsta.2008.0118

Wing, J. M. (2011). Research notebook: Computational thinking-What and why. The Link Magazine, 20-23

Wing, J. M. (2011). Research notebook: Computational thinking-What and why. The link magazine, 6, 20-23. https://people.cs.vt.edu/~kafura/CS6604/Papers/CT-What-And-Why.pdf

Wing, J.M.(2006).Computational thinking Communications of the ACM, 49(3), 33-35 https://doi.org/10.1145/1118178.1118215

Wing, M. J. (2014) Computational Thinking Benefits Society. Social Issues in Computing, Retrieved January 5, 2022, from http://socialissues.cs.toronto.edu/2014/01/computational-thinking

Wiseman, R., & Martin, J. (2020). Can You Save the World? Available at: https://martin-jacob.itch.io/can-you-save-the-world (Retrieved May 5th, 2021)

Wolz, U., Stone, M., Pearson, K., Pulimood, S. M., & Switzer, M. (2011). Computational thinking and expository writing in the middle school. ACM Transactions on Computing Education (TOCE), 11(2), 1-22 https://doi.org/10.1145/1993069.1993073

World Health Organization. (2021) Coronavirus COVID-19 daily new and cumulative cases and deaths by country. https://covid19.who.int/WHO-COVID-19-global-data.csv

Wu, S. Y., & Su, Y. S. (2021). Visual programming environments and computational thinking performance of fifth-and sixth-grade students. Journal of Educational Computing Research, 59(6), 1075-1092 https://doi.org/10.1177/0735633120988807

Wu, T.-T. (2018). Improving the effectiveness of English vocabulary review by integrating ARCS with mobile game-based learning. Journal of Computer Assisted Learning, 34(3), 315-323 https://doi.org/10.1111/jcal.12244

Wyeth, P. (2008) How young children learn to program with sensor, action, and logic blocks. Journal of the Learning Sciences, 17(4), 517-550. https://doi.org/10.1080/10508400802395069

wyffels, F., Martens, B. & Lemmens, S. (2014). Starting from Scratch: Experimenting with Computer Science in Flemish Secondary Education. In Proceedings of the 9thWorkshop in Primary and Secondary Computing Education (WiPSCE '14), 12-15. https://doi.org/10.1145/2670757.2670763

Xie, Y., Fang, M., & Shauman, K. (2015). STEM Education. Annu Rev Sociol, 41, 331-357. ' https://doi.org/10.1146/annurev-soc-071312-145659

Yadav, A., Gretter, S., Good, J., & McLean, T. (2017). Computational thinking in teacher education. In Emerging research, practice, and policy on computational thinking, 205- 220. Springer, Cham https://doi.org/10.1007/978-3-319-52691-1_13

Yadav, A., Hong, H., & Stephenson, C. (2016). Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms. TechTrends,60, 565-568 https://doi.org/10.1007/s11528-016-0087-7

Yadav, A., & Berthelsen, U. D. (2021). Computational Thinking in Education: A Pedagogical Perspective. Routledge. https://doi.org/10.4324/9781003102991

Yadav, A., Gretter, S., Good, J., & McLean, T. (2017). Computational Thinking in Teacher Education. In P. J. Rich & C. B. Hodges (Eds.), Emerging Research, Practice, and Policy on Computational Thinking (pp. 205- 220). Springer International Publishing. https://doi.org/10.1007/978-3-319-52691-1_13

Yadav, A., Krist, C., Good, J., & Caeli, E. N. (2018). Computational thinking in elementary classrooms: measuring teacher understanding of computational ideas for teaching science. Computer Science Education, 28(4), 371- 400. https://doi.org/10.1080/08993408.2018.1560550

Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational Thinking in Elementary and Secondary Teacher Education. ACM Trans. Comput. Educ., 14(1), 1-16 https://doi.org/10.1145/2576872

Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education (TOCE),14(1), 1-16 https://doi.org/10.1145/2576872

Yadav, A., Stephenson, C., & Hong, H.(2017).Computational Thinking for Teacher Education. Communications of the ACM, 60(4), 55-62 https://doi.org/10.1145/2994591

Yan, H. S. (2007). Walking Machines. Reconstruction Designs of Lost Ancient Chinese Machinery, 269-302 https://doi.org/10.1007/978-1-4020-6460-9_8

Yeni, S., & Hermans, F. (2019). Design of CoTAS: Automated Computational Thinking Assessment System. perspectives, 23, 28.

Yeni, S., Grugrina, N., Hermans, F. F. J., Tolboom, J. & Barendsen, E. (in press). Embedding computational thinking in the non-computing subjects: A systematic literature review

Yu, H¬F., Lo, H¬Y., Hsieh, H¬P., Lou, J¬K., Mckenzie, T.G., Chou, J¬W., et al., (2010). Feature Engineering and Classifier Ensemble. Proc. of the KDD Cup 2010 Workshop, 1-16

Yuen, T. T., & Robbins, K. A. (2014). A Qualitative Study of Students' Computational Thinking Skills in a Data-Driven Computing Class. ACM Trans. Comput. Educ., 14(4). https://doi.org/10.1145/2676660

Zapata-Cáceres, M., & Martín-Barroso, E. (2021). Applying game learning analytics to a voluntary video game: Intrinsic motivation, persistence, and rewards in learning to program at an early age. IEEE Access, 9, 123588-123602. https://doi.org/10.1109/ACCESS.2021.3110475

Zapata-Cáceres, M., Martín-Barroso, E., & Román-González, M. (2020).Computational thinking test for beginners: Design and content validation. IEEE Global Engineering Education Conference (EDUCON'20),pp. 1905-1914. https://doi.org/10.1109/EDUCON45650.2020.9125368

Zapata-Ros, M. (2019).Computational thinking unplugged. Education in the Knowledge Society, 20, 1-29 https://doi.org/10.14201/eks2019_20_a18

Zerega, R., Hamidi. A., Tavajoh, S., & Milrad, M. (2021). A Co -design Approach for Developing Computational Thinking Skills in Connection to STEM Related Curriculum in Swedish Schools. In Proceedings of the 5th APSCE International Computational Thinking and STEM in Education Conference 2021. Singapore: National Institute of Education, pp 144-147

Zhang, S., & Cui, C. (2021). Implementing Blended Learning in K-12 Programming Course: Lesson Design and Student Feedback. Proceedings of 2021 IEEE Integrated STEM Education Conference (ISEC). https://doi.org/10.1109/ISEC52395.2021.9764091

Zhang, S., Wong, G. K. W., Chan, P. C. F. (2021).Achievement and Effort in Acquiring Computational Thinking Concepts: A log-based Analysis in a Game-based Learning Environment. Proceedings of Fifth APSCE International Conference on Computational Thinking and STEM Education 2021 (CTE-STEM).

Zhang, S., Wong, G. K. W., & Sun, X. (2022). Exploring Coding Attitudes of Chinese Elementary Students: A preliminary study. Proceedings of 2022 IEEE Integrated STEM Education Conference (ISEC) https://doi.org/10.1109/ISEC54952.2022.10025227