UPSI Digital Repository (UDRep)
|
|
|
Abstract : Universiti Pendidikan Sultan Idris |
As the term computational thinking was just introduced into Malaysian education landscape in early 2017, the knowledge about it is still limited. Therefore, a literature review mapping has been done in order to identify its features and global research pattern related to this skill. IEEEXplore, Science Direct, and Web of Science were selected as the main sources of the articles out of 13 other repositories. The total of 325 articles were found by using computational thinking with punctuation marks " " as keywords via selected repositories. Out of this total, 109 articles have met the criteria and only 86 articles were referred together with another 30 additional multi-type references. Finally, 66 features were generated from 29 referred articles related to the characterization of computational thinking skill. Among these features, three with the highest frequency were identified. It made up of two features that often assessed at tertiary education level namely algorithm and abstraction as well as two other features that are said as the true essence of the skill namely abstraction and decomposition with one of them is overlapped. Therefore, these three features are suggested to be in the list of variables of any research related to tertiary education learning. |
References |
Altanis, I., Retalis, S., & Petropoulou, O. (2018). Systematic design and rapid development of motion-based touchless games for enhancing students’ thinking skills. Education Sciences, 8(1), 1-15. https://doi.org/10.3390/educsci8010018 Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., et al. (2016). A K-6 computational thinking curriculum framework: Implications for teacher knowledge. Journal of Educational Technology & Society, 19(3), 47-57. Araujo, A. L. S. O., Santos, J. S., Andrade, W. L., Guerrero, D. D. S., & Dagiene, V. (2017). Exploring computational thinking assessment in introductory programming courses. In C. Dyer (Ed.), Proceedings of the 2017 IEEE Frontiers in Education Conference (pp. 1-9). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FIE.2017.8190652 Arraki, K., Blair, K., Bürgert, T., Greenling, J., Haebe, J., Lee, G., et al. (2014). DISSECT: An experiment in infusing computational thinking in K-12 science curricula. In IEEE (Ed), Proceedings of the 2014 IEEE Frontiers in Education Conference. (pp. 1-9). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FIE.2014.7044262 Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661-670. https://doi.org/10.1016/j.robot.2015.10.008 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 Basogain, X., Olabe, M. A., Olabe, J. C., Ramírez, R., Del Rosario, M., & Garcia, J. (2016). PC-01: Introduction to computational thinking: Educational technology in primary and secondary education. In F. J. García-Peñalvo and A. J. Mendes (Eds.), Proceedings of the 2016 International Symposium on Computers in Education (pp. 1-5). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SIIE.2016.7751816 Basu, S., Mustafara, E., & Rich, K. (2016). CIRCL Primer: Computational Thinking. In CIRCL Primer Series. Center for Innovative Research in Cyberlearning. http://circlcenter.org/computational-thinking Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. Massachusetts Institute of Technology. https://www.media.mit.edu/publications/newframeworks- for-studying-and-assessing-the- development-of-computational-thinking/ Burke, Q., Bailey, C. S., & Ruiz, P. (2019). CIRCL Primer: Assessing Computational Thinking. In CIRCL Primer Series. Center for Innovative Research in Cyberlearning. https://circlcenter.org/assessing-computationalthinking. Ota, G., Morimoto, Y., & Kato, H. (2016). Ninja code village for scratch: Function samples/function analyzer and automatic assessment of computational thinking concepts. In A. Blackwell, B. Plimmer, & G. Stapleton (Eds.), 2016 Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (pp. 238-239). Institute of Electrical and Electronics Engineers. http://doi.org/10.1109/VLHCC.2016.7739695 Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books Inc. Repenning, A., Basawapatna, A., & Escherle, N. (2016). Computational thinking tools. In A. Blackwell, B. Plimmer, & G. Stapleton (Eds.), Proceedings of the 2016 IEEE Symposium on Visual Languages and Human-Centric Computing (pp. 218-222). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VLHCC.2016.7739688 Seiter, L., & Foreman, B. (2013). Modeling the learning progressions of computational thinking of primary grade students. In ACM (Ed.), Proceedings of the ninth annual international ACM conference on International computing education research (pp. 59-66). Association for Computing Machinery. https://doi.org/10.1145/2493394.2493403 Shute, V. J., Sun C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22(2017), 142-158. https://doi.org/10.1016/j.edurev.2017.09.003 Silva, L. R., da Silva, A. P., Toda, A., & Isotani, S. (2018). Impact of Teaching Approaches to Computational Thinking on High School Students: A Systematic Mapping. In M. Chang et al. Proceedings of the 2018 IEEE 18th International Conference on Advanced Learning Technologies (pp. 285-289). Institute of Electrical and Electronics Engineers. https://doi.org/ 10.1109/ICALT.2018.00072 Sondakh, D. E, (2018). Review of Computational Thinking Assessment in Higher Education. http://doi.org/10.13140/RG.2.2.16120.55042 The Computer Science Teachers Association & International Society for Technology in Education. (2011). Operational Definition of Computational Thinking for K–12 Education. https://id.iste.org/docs/ctdocuments/ computational-thinking-operational-definition-flyer.pdf Toedte, R. J., & Aydeniz, M. (2015). Computational thinking and impacts on K-12 science education. In IEEE (Ed.), Proceedings of the 2015 IEEE Frontiers in Education Conference (pp. 1-7). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FIE.2015.7344239 Tsarava, K., Moeller, K., & Ninaus, M. (2018). Training Computational Thinking through board games: The case of Crabs & Turtles. International Journal of Serious Games, 5(2), 25-44. https://doi.org/10.17083/ijsg.v5i2.248 Tsarava, K., Moeller, K., Pinkwart, N., Butz, M., Trautwein, U., & Ninaus, M. (2017). Training computational thinking: Game-based unplugged and plugged-in activities in primary school. In M. Pivec & J. Grundler (Eds.), Proceedings of the 11th European Conference on Games Based Learning (pp. 687-695).ACPI. Turchi, T., & Malizia, A. (2016). Fostering computational thinking skills with a tangible blocks programming environment. In A. Blackwell, B. Plimmer, and G. Stapleton (Eds.), Proceedings of the 2016 IEEE Symposium on Visual Languages and Human-Centric Computing (pp. 232-233). Institute of Electrical and Electronics Engineers. http://doi.org/10.1109/VLHCC.2016.7739692 Vallance, M., & Towndrow, P. A. (2016). Pedagogic transformation, student-directed design and computational thinking. Pedagogies: An International Journal, 11(3), 218-234. https://doi.org/10.1080/1554480X.2016.1182437 Wang, D., Wang, T., & Liu, Z. (2014). A tangible programming tool for children to cultivate computational thinking. The Scientific World Journal, 2014(), 1-10. http://doi.org/10.1155/2014/428080 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 Wing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215 Worrell, B., Brand, C., & Repenning, A. (2015). Collaboration and Computational Thinking: A classroom structure. In Z. Li, C. Ermel, and S. D. Fleming (Eds.), Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VLHCC) (pp. 183-187). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VLHCC.2015.7357215 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, 14(1), 1-16. https://doi.org/10.1145/2576872 Yadav, A., Zhou, N., Mayfield, C., Hambrusch, S., & Korb, J. T. (2011). Introducing computational thinking in education courses. In ACM (Ed.), Proceedings of the 42nd ACM technical symposium on Computer Science education. Association for Computing Machinery. https://doi.org/10.1145/1953163.1953297 |
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |