Abstract
There are innovative systems designed for computer science education that teach programming concepts. However, many of them lack formal testing and comparison in a real course setting. This work intends to introduce a tool for teaching, evaluating, and assessing computer science students. Kodr is a modular gamified learning platform designed to evaluate varying problem types through gathering data about students performance. We conducted two studies in the wild with more than one thousand students to evaluate the initial design of Kodr. The first study evaluated two methods of teaching. The first method is to solve programming problems from scratch, the second, is to debug an incorrect solution of those problems. The results of the study yielded no significant difference between the two styles. The second study found significant positive correlations between Kodr’s activity data and student’s final course grades. Qualitative feedback gathered from students also evaluated Kodr as quite helpful.
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Notes
- 1.
A stand alone version of Kodr’s python challenges can be viewed at pythondebugger.xyz.
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Draz, A., Abdennadher, S., Abdelrahman, Y. (2016). Kodr: A Customizable Learning Platform for Computer Science Education. In: Verbert, K., Sharples, M., Klobučar, T. (eds) Adaptive and Adaptable Learning. EC-TEL 2016. Lecture Notes in Computer Science(), vol 9891. Springer, Cham. https://doi.org/10.1007/978-3-319-45153-4_67
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DOI: https://doi.org/10.1007/978-3-319-45153-4_67
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