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Designing an Electronic Course and Its Impact on Developing University Students' Computational Thinking Skills

  • 투고 : 2021.12.05
  • 발행 : 2022.01.30

초록

The study investigated the effects of differences in some electronic course designs on university students' Computational Thinking Skills (CTS). Towards this end, the researcher adopted the experimental research design of a quasi-experimental of two experimental groups. The first group was taught an e-course designed in a sequential pattern, and the other group's course was designed according to the holistic model. A CTSs test was prepared to collect the relevant data, and the data were analyzed statistically using these tests- Pearson correlation Mann Whitney and Alpha Cronbach. Results revealed statistically-significant differences at the level α=0.05 between the mean scores of the first and second experimental groups in favor of the latter in the CTS test. The findings gave ground to put forward some salient recommendations, including the need to expand computational thinking in universities' educational process. It also recommends urging faculty members to enhance e-courses in the educational process and provide technical support to students and faculty members.

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참고문헌

  1. Al-Taher, M. & Fershishi, A. (2017). Computational thinking approach, Binary Relationship Methodology, and Algorithms. A proceeding of the 11th International Conference on Computer Science and Engineering. August 2017, Sudan, Khartoum.
  2. Al-Juwaid, M. & Al-Obeikan, R. (2018 AD). Training needs of computer teachers to use and teach computer thinking skills. International Journal of Educational Research, 42 (3), UAE University. The United Arab Emirates.
  3. Awadh, I.A. (2018). Computational thinking. A scientific article published on the Shams platform.
  4. Basogain, X., Olabe, M. A., C., O. J., Ramirez, R., & Garcia, J. (2016). PC-01: Introduction to Computational Thinking. Educational Technology in Primary and Secondary Education. In F. J. Garcia-Penalvo & J. A. Mendes (Eds.), XVIII Simposio Internacional de Informatica Educativa, SIIE 2016 (pp. 191-195). Salamanca, Espana: Ediciones Universidad de Salamanca.
  5. Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
  6. Koehler, M. J., Mishra, P., Kereluik, K., Shin, T. S., & Graham, C. R. (2014). The technological pedagogical content knowledge framework. In Handbook of research on educational communications and technology (pp. 101-111). Springer New York.
  7. Webb, H. C. (2013). Injecting computational thinking into computing activities for middle school girls (PhD dissertation). Pennsylvania State University.
  8. Touretzky, D. S., Marghitu, D., Ludi, S., Bernstein, D., & Ni, L. (2013). Accelerating K-12 computational thinking using scaffolding, staging, and abstraction. In Proceeding of the 44th ACM technical
  9. Sanz, A. (2015). Why Teaching and Learning How to Code in Schools. Ed Tech Review.[2020, Jan 6] http://edtechreview.in/trends-insights/insights/1934-whyteaching-and-learning-howtocode-in-schools. Symposium on Computer science education (pp. 609-614) ACM.
  10. Martin, J. (2016). Por que debemos ensenar a los ninos a programar. [2020, Jan 2] http://futurizable.com/debemosensenar-los-ninos-programar.
  11. Ministry of education. (2013). Computer and Information Technology Curriculum Document for the Secondary Stage. Riyadh: Company Development of educational services.
  12. Abu Somra, M. & Attiti, M. (2020). Scientific Research Methods: from Clarification to Empowerment. Amman: AlYazouri Scientific Press.