[1] Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
[2] Wing, J. (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
[3] Denning, P. J. (2009). The profession of IT Beyond computational thinking. Communications of the ACM, 52(6), 28-30.
[4] Papert, S. (1980). Children, computers, and powerful ideas (Vol. 10, pp. 978-3). Eugene, OR, USA: Harvester. Commission on Mathematics Instruction international. https://doi.org/10.1016/0732-118x(83)90034-x
[5] Papert, S. (2000). What's the big idea? Toward a pedagogy of idea power. IBM systems journal, 39(3.4), 720-729. https://doi.org/10.1147/sj.393.0720
[6] 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
[7] Weintrop, D., Beheshti, E., Horn, M. S., 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.
[8] Denning, P. J. (2017). Remaining trouble spots with computational thinking. Communications of the ACM, 60(6), 33-39.
[9] Denning, P. J., & Tedre, M. (2021). Computational thinking: A disciplinary perspective. Informatics in Education, 20(3), 361.
[10] Grumberg, O., Clarke, E. M., & Peled, D. (1999). Model checking. In International Conference on Foundations of Software Technology and Theoretical Computer Science; Springer: Berlin/Heidelberg, Germany.
[11] Cormen, T., Leiserson, C., Rivest, R., & Stein, C. (2009). Book: introduction to algorithms. Algorithms, 1(1L9K1), 1L9K1.
[12] Dean, J., & Ghemawat, S. (2008). MapReduce: simplified data processing on large clusters. Communications of the ACM, 51(1), 107-113.
[13] Hellerstein, J. M., Stonebraker, M., & Hamilton, J. (2007). Architecture of a database system. Foundations and Trends® in Databases, 1(2), 141-259.
[14] Nordby, S. K., Bjerke, A. H., & Mifsud, L. (2022). Computational thinking in the primary mathematics classroom: A systematic review. Digital Experiences in Mathematics Education, 8(1), 27-49.
[15] Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55-62.
[16] Selby, C. C. (2014). How can the teaching of programming be used to enhance computational thinking skills? (Doctoral dissertation, University of Southampton).
[17] 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.
[18] 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
[19] Papert, S., & Harel, I. (1991). Situando o construcionismo. Norwood, NJ: Ablex.
[20] Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American Educational Research Association (AERA), Vancouver, Canada.
[21] Román-González, M., Pérez-González, J. C., & Jiménez-Fernández, C. (2017). Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test. Computers in human behavior, 72, 678-691. https://doi.org/10.1016/j.chb.2016.08.047
[22] Becker, B. A., Bradley, S., Maguire, J., Black, M., Crick, T., Saqr, M., ... & Quille, K. (2023). Computing Education Research in the UK & Ireland. In Past, Present and Future of Computing Education Research: A Global Perspective (pp. 421-479).
[23] Lee, I., Grover, S., Martin, F., Pillai, S., & Malyn-Smith, J. (2020). Computational thinking from a disciplinary perspective: Integrating computational thinking in K-12 science, technology, engineering, and mathematics education. Journal of Science Education and Technology, 29, 1-8.
[24] Montiel, H., & Gomez-Zermeño, M. G. (2021). Educational Challenges for Computational Thinking in K–12 Education: A Systematic Literature Review of “Scratch” as an Innovative Programming Tool. Computers, 10(6), 69. https://doi.org/10.3390/computers10060069
[25] Ye, H., Liang, B., Ng, O., & Chai, C. S. (2023). Integration of computational thinking in K-12 mathematics education: a systematic review on CT-based mathematics instruction and student learning. International Journal of STEM Education, 10(1), 1–26. https://doi.org/10.1186/s40594-023-00396-w
[26] Hartley, R., & Zisserman, A. (2003). Multiple view geometry in computer vision. Cambridge university press.
[27] Robert, C. (2014). Machine learning, a probabilistic perspective.
[28] Segal, H., & Kalfon- Hakhmigari, M. (2025). Grit as a moderator of the association between cognitive abilities and STEM achievements in high school. IJ STEM Ed 12, 25.
[29] Futschek, G. (2006, November). Algorithmic thinking: the key for understanding computer science. In International conference on informatics in secondary schools-evolution and perspectives (pp. 159-168). Berlin, Heidelberg: Springer Berlin Heidelberg.
[30] Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational research review, 22, 142-158.
[31] Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y. (2016). Deep learning (Vol. 1, No. 2). Cambridge: MIT press.
[32] 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. https://data.europa.eu/doi/10.2791/792158
[33] Lamport, L. (2002). Specifying systems (Vol. 388). Boston: Addison-Wesley.
[34] Dean, J., & Ghemawat, S. (2008). MapReduce: simplified data processing on large clusters. Communications of the ACM, 51(1), 107-113.
[35] Mell, P., & Grance, T. (2011). The NIST definition of cloud computing.
[36] Burns, B., Grant, B., Oppenheimer, D., Brewer, E., & Wilkes, J. (2016). Borg, omega, and kubernetes. Communications of the ACM, 59(5), 50-57.
[37] Hellerstein, J. M., Stonebraker, M., & Hamilton, J. (2007). Architecture of a database system. Foundations and Trends® in Databases, 1(2), 141-259.
[38] Shostack, A. (2014). Threat modeling: Designing for security. John wiley & sons.
[39] Russell, S., Norvig, P., Popineau, F., Miclet, L., & Cadet, C. (2021). Intelligence artificielle: une approche moderne (4ᵉ édition). Pearson France.
[40] Selby, C., & Woollard, J. (2013). Computational thinking: the developing definition.
[41] Jackiw, N., & Sinclair, N. (2010). Learning through teaching, when teaching machines: Discursive interaction design in sketchpad. In Learning Through Teaching Mathematics: Development of Teachers' Knowledge and Expertise in Practice (pp. 153-168). Dordrecht: Springer Netherlands.
]42[ گویا، زهرا و آشنا، امیرحسین (1395). از آموزش و ریاضی تا آموزش ریاضی. فرهنگ و اندیشه ریاضی, 35(1)، 9-51.
