WOJR: A Recommendation System for Providing Similar Problems to Programming Assignments

Ryoya Yoshimura*, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa

*この研究の対応する著者

研究成果: Article査読

抄録

Programming education for beginners often employs online judges. Although this helps improve coding skills, students may not obtain sufficient educational effects if the assignment is too difficult. Instead of presenting a model answer to an assignment, this paper proposes an approach to provide students with problems that have content and answer source code similar to the assignment. The effectiveness of our approach is evaluated via an intervention experiment in a university lecture course. The improvement in the number of correct answers is statistically significant compared to the same course offered in a different year without the proposed system. Therefore, the proposed approach should aid in the understanding of an assignment and enhance the educational effect.

本文言語English
論文番号53
ジャーナルApplied System Innovation
5
3
DOI
出版ステータスPublished - 2022 6月

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 情報システム
  • 人間とコンピュータの相互作用
  • 産業および生産工学
  • 応用数学
  • 人工知能

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