askTA: 消極性を考慮したオンライン演習講義支援システム

Yasutsuna Matayoshi, Satoshi Nakamura

研究成果: Article査読

抄録

TAs are indispensable for first-year programming education offered at universities. The problem of students who cannot ask questions due to their inability to be proactive has become a major problem in online lectures due to the impact of COVID-19. In addition, the control of waiting for questions and responding to questions, as well as the mental stress of whether the TA will be able to respond to questions, can also be major problems. In this study, we propose and implement a method in which students do not ask questions directly to the TAs, but ask questions to the system, and the TAs check the questions in advance and call the TAs when they are available. Our method can lower the barrier for students to ask questions, and also reduce the mental load of TAs. We have used our method for a total of 1600 minutes in an actual online lecture and obtained high evaluations from students and TAs.

寄稿の翻訳タイトルaskTA: Online Practice Classroom Support System Considering Passivity
本文言語!!
ページ(範囲)55-71
ページ数17
ジャーナルComputer Software
39
1
DOI
出版ステータスPublished - 2022

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