Recommendation System Providing Similar Problems Instead ofw Model Answers to Programming Assignments

Ryoya Yoshimura, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa

研究成果: Conference contribution

抄録

Online judges are often used in programming education for beginners. Although they help improve coding skills, students may not obtain sufficient educational effects with much assignment difficulty. Instead of presenting a model answer to an assignment, we propose an approach to provide students contents of problems and answer source code similar to the assignment. We implemented the approach as a system and conducted an intervention experiment in a university lecture course to evaluate its effectiveness. There was a statistically significant improvement in the number of correct answers compared to the same course in another year without the proposed system. Therefore, it is suggested that the proposed approach can aid in the understanding of an assignment and improve the educational effect.

本文言語English
ホスト出版物のタイトル5th IEEE Eurasian Conference on Educational Innovation 2022, ECEI 2022
編集者Teen-Hang Meen
出版社Institute of Electrical and Electronics Engineers Inc.
ページ229-232
ページ数4
ISBN(電子版)9781665433181
DOI
出版ステータスPublished - 2022
イベント5th IEEE Eurasian Conference on Educational Innovation, ECEI 2022 - Taipei, Taiwan, Province of China
継続期間: 2022 2月 102022 2月 12

出版物シリーズ

名前5th IEEE Eurasian Conference on Educational Innovation 2022, ECEI 2022

Conference

Conference5th IEEE Eurasian Conference on Educational Innovation, ECEI 2022
国/地域Taiwan, Province of China
CityTaipei
Period22/2/1022/2/12

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • メディア記述
  • 教育

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