Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components
Introductory programming instruction relies on hands-on practice and short learning activities to support mastery of foundational concepts. Although many such learning resources exist, organizing and linking these items in instructionally meaningful ways is challenging without time-intensive expert curation. This study investigates the use of pattern-based Knowledge Components (KCs) to automatically identify code-based learning resources targeting similar concepts. In our approach, pattern-based KCs are extracted from each code sample, and related activities are identified by measuring similarity between the KC sets associated with each activity. By leveraging alignment at the level of se...
| Authors | Muntasir Hoq, Griffin Pitts, Zhangqi Duan et al. |
|---|---|
| Primary category | cs.CY |
| Published | 9 June 2026 |
| Last updated at source | 9 June 2026 |
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