Exploring the Limits of Lexicon-based Natural Language Processing Techniques for Measuring Engagement and Predicting MOOC’s Certification

Esther Félix, Esther Félix, Nicolas Hernandez, Issam Rebaï

2022

Abstract

We address the problem of assessing the contributions of lexicon-based Natural Language Processing (NLP) techniques to measure learner affective and cognitive engagement and thus predict certification in French- speaking MOOCs. Interest in these approaches comes from the fact they are explainable. Our investigation protocol consists of applying machine learning techniques to determine the relationships between lexicon-based engagement indicators and learning outcomes. The lexicon-based approach is compared with trace log features, and we distinguish between specialised linguistically-based approaches with dedicated lexicon resources and more general but deeper text representations. Language quality and its impact on the task are discussed. We investigate this issue in MOOCs imposing or not the use of the forum in their learning activities.

Paper Citation

in Harvard Style

Félix E., Hernandez N. and Rebaï I. (2022). Exploring the Limits of Lexicon-based Natural Language Processing Techniques for Measuring Engagement and Predicting MOOC’s Certification. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-562-3, pages 95-104. DOI: 10.5220/0011085300003182

in Bibtex Style

@conference{csedu22,
author={Esther Félix and Nicolas Hernandez and Issam Rebaï},
title={Exploring the Limits of Lexicon-based Natural Language Processing Techniques for Measuring Engagement and Predicting MOOC’s Certification},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2022},
pages={95-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011085300003182},
isbn={978-989-758-562-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Exploring the Limits of Lexicon-based Natural Language Processing Techniques for Measuring Engagement and Predicting MOOC’s Certification
SN - 978-989-758-562-3
AU - Félix E.
AU - Hernandez N.
AU - Rebaï I.
PY - 2022
SP - 95
EP - 104
DO - 10.5220/0011085300003182