Mining Students’ Comments to Build an Automated Feedback System

Jihed Makhlouf, Tsunenori Mine

Abstract

Giving the appropriate feedback to students is an important step toward helping them improve and get the most out of the course. Most of the time, students receive this feedback during the lesson time, or when there is a physical interaction with their professors. However, it is considerably time-consuming for the professors to provide individualized feedback to students. In an attempt to address this issue, we prepared a questionnaire and asked students to fill it using their freely written comments. We used these comments to generate the appropriate feedback according to each comment and build an automated feedback system. In this paper, we describe the data collection and compare different machine learning and natural language processing techniques to build the models. Experimental results show that our proposed models achieved promising results while applying one of the most recent language models significantly improved the performances, attaining 0.81 accuracy.

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Paper Citation


in Harvard Style

Makhlouf J. and Mine T. (2021). Mining Students’ Comments to Build an Automated Feedback System. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-502-9, pages 15-25. DOI: 10.5220/0010372200150025


in Bibtex Style

@conference{csedu21,
author={Jihed Makhlouf and Tsunenori Mine},
title={Mining Students’ Comments to Build an Automated Feedback System},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2021},
pages={15-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010372200150025},
isbn={978-989-758-502-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Mining Students’ Comments to Build an Automated Feedback System
SN - 978-989-758-502-9
AU - Makhlouf J.
AU - Mine T.
PY - 2021
SP - 15
EP - 25
DO - 10.5220/0010372200150025