A Framework of Exercise Recommendation for Novice Learners in Computer Programming

Na Nongkhai, Lalita; Wang, Jingyun; Mendori, Takahiko

Abstract

To support novice learners majoring in Information Technology, this paper proposed an ontology-based framework to recommend exercise to learners in response to their understanding levels. This framework involves three essential mechanisms: (1) determination of the level of exercise, (2) evaluation of learner's understanding, and (3) recommendation of exercise. The prototype system will be implemented to enable the instructors to add or edit exercises based on 60 questions with solutions covering 20 topics of introductory programming which are initially determined by this research.

Citation

Na Nongkhai, L., Wang, J., & Mendori, T. (2021, November). A Framework of Exercise Recommendation for Novice Learners in Computer Programming. Presented at ICCE 2021: The 29th International Conference on Computers in Education, Online

• Presentation Conference Type: Conference Paper (published)
• Conference Name: ICCE 2021: The 29th International Conference on Computers in Education
• Start Date: Nov 22, 2021
• End Date: Nov 26, 2021
• Acceptance Date: Sep 20, 2021
• Publication Date: Nov 22, 2021
• Deposit Date: Dec 16, 2021
• Publicly Available Date: Dec 16, 2021
• Pages: 746-749
• Keywords: Adaptive learning, practice recommendation, ontology, supervised learning
• Public URL: https://durham-repository.worktribe.com/output/1137991
• Publisher URL: https://icce2021.apsce.net/proceedings/