Measuring Student Emotions in an Online Learning Environment

Márcio Alencar, José Netto

2020

Abstract

The use of Virtual Learning Environments by educational institutions grows every year. In these environments, students use asynchronous and synchronous tools to communicate, express their opinions on various subjects. All of this information can be used to identify students' emotional states and improve education. Using sentiment analysis techniques is possible to identify students with difficulty, frustration, discouragement, this approach helps detect students with potential dropout. In this paper, an experiment was carried out with students of a technical course using a tool that identifies the emotional state of a class and their students using sentiment analysis on student's posts forum. The results demonstrate that the approach proposed in this paper can support teachers in monitoring students' emotional states by accessing and analyzing discourse forums to assist in decision making and learning improvements.

Paper Citation

in Harvard Style

Alencar M. and Netto J. (2020). Measuring Student Emotions in an Online Learning Environment. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 563-569. DOI: 10.5220/0008956505630569

in Bibtex Style

@conference{icaart20,
author={Márcio Alencar and José Netto},
title={Measuring Student Emotions in an Online Learning Environment},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={563-569},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008956505630569},
isbn={978-989-758-395-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Measuring Student Emotions in an Online Learning Environment
SN - 978-989-758-395-7
AU - Alencar M.
AU - Netto J.
PY - 2020
SP - 563
EP - 569
DO - 10.5220/0008956505630569