Automatic Evaluation of Students’ Learning Experience Based on Their Freely-Written Comments

Jihed Makhlouf, Tsunenori Mine

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Understanding individual students more efficiently is an essential step for educational institutions to improve their services. Constantly tracking students’ learning situations is an important but challenging task. This step is becoming easier thanks to the advances in educational technology. In fact, educational data can be gathered and analyzed more easily due to the implementation and development of multiple educational software systems. It is in this context that we conducted a study to predict the students’ learning experience using a questionnaire. After each lesson, we give the students a questionnaire containing 5 predefined questions relative to their learning activities following the PCN method. Then, students provide their freely-written comments answering these questions. We use these comments to predict their learning experience in an approach to provide meaningful insights to the professor for better interventions. We built models that predict the students’ learning experience using textual data. We investigated 2 approaches to building the models. The baseline approach is to treat all comments of all the questions together. In the second approach, we feed the context of the question to the prediction model using a simple padding technique. Experimental results show that including the context of the question provided a significant improvement in the models prediction performances, attaining an F1-score of 0.74.

本文言語英語
ホスト出版物のタイトルComputer Supported Education - 12th International Conference, CSEDU 2020, Revised Selected Papers
編集者H. Chad Lane, Susan Zvacek, James Uhomoibhi
出版社Springer Science and Business Media Deutschland GmbH
ページ480-495
ページ数16
ISBN(印刷版)9783030864385
DOI
出版ステータス出版済み - 2021
イベント12th International Conference on Computer Supported Education, CSEDU 2020 - Virtual, Online
継続期間: 5 2 20205 4 2020

出版物シリーズ

名前Communications in Computer and Information Science
1473 CCIS
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

会議

会議12th International Conference on Computer Supported Education, CSEDU 2020
CityVirtual, Online
Period5/2/205/4/20

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンス(全般)
  • 数学 (全般)

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