Jul 2026· Annual Conference on Innovation and Technology in Computer Science Education· pp. 863-863· 0 citations· 3 references
Computer Science
TL;DR
A refinement of a teaching-relevance framework for a web-based misconception repository for Java/Processing is reported on, which enables compound filters like Silent Blockers or Rare Traps that bridge the gap between misconception knowledge and classroom action.
Abstract
Many programming misconception collections contain hundreds of entries with little guidance on which misconceptions to prioritize. We report on a refinement of a teaching-relevance framework for a web-based misconception repository for Java/Processing. Three instructors evaluated two criteria, Learner Discoverability and Learning Barrier (Krippendorff's α=0.57;0.60, rising to 0.9;1.0 after a majority-vote). Together with frequency data, the criteria enable compound filters like Silent Blockers or Rare Traps that, combined with teaching opportunities such as peer instruction quizzes, bridge the gap between misconception knowledge and classroom action.
A web-based misconception repository for Java/Processing is presented, with each entry connecting misconceptions to origins, typical errors, and concrete teaching opportunities, and two teaching-relevance criteria are introduced: Learner Discoverability and Learning Barrier.
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