Automatic question generation for repeated testing to improve student learning outcome

Danny C.L. Tsai, Anna Y.Q. Huang, Owen H.T. Lu, Stephen J.H. Yang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

In recent years, educational resources have gradually been digitized, and digital education platforms have gradually become popular. We use AI to accurately assist people in performing daily tasks through a machine learning process. In education, we can use AI in many situations, such as predicting student's learning outcome and discovering student's learning strategies. However, most solutions have not yet utilized modern AI capabilities, such as natural language processing. This research aims to help teachers use machines to automatically generate short answer questions to reduce the time for teachers to write exam questions. In addition, the main reason we focus on short answers is that many studies prove that short answer exercises can enhance student's long-term memory, thereby improving their learning performance. We propose an automatic question generation (AQG) system that combines syntax-base and semantics-base, in order to prove that the system is highly available and improve student's learning performance, we conducted experiments with 41 students. The experimental results show that student's learning performance has been significantly improved, which means that by repeatedly testing the machine question generation system, students can deepen their long-term memory of course knowledge.

原文???core.languages.en_GB???
主出版物標題Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
編輯Maiga Chang, Nian-Shing Chen, Demetrios G Sampson, Ahmed Tlili
發行者Institute of Electrical and Electronics Engineers Inc.
頁面339-341
頁數3
ISBN(電子)9781665441063
DOIs
出版狀態已出版 - 7月 2021
事件21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021 - Virtual, Online, Malaysia
持續時間: 12 7月 202115 7月 2021

出版系列

名字Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021

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???event.eventtypes.event.conference???21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021
國家/地區Malaysia
城市Virtual, Online
期間12/07/2115/07/21

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