A-Learning: A Computerized Adaptive Learning Expert System

Mariz Awad, Jailan Salah, Nabila Hamdi, Slim Abdennadher

2022

Abstract

Computer Adaptive Testing (CAT) methods have been widely used by test centres to assess examinees quickly. These methods change question difficulty in response to the performance of the examinee. This work presents a modified framework, which we call Computer Adaptive Learning (CAL). CAL uses the CAT principles to improve exam-training efficiency rather than assessment efficiency. We applied the proposed method to a learning platform and conducted a comparative experiment using 50 participants to investigate the effectiveness of CAL. We evaluated the system in terms of knowledge gain, learning efficiency, and engagement by comparing it to another adaptive method in which the game mechanics and UI adapt to the user’s emotional state. Results confirm that the proposed CAL algorithm exposes the learner to questions more efficiently and improves the learning gain when compared to traditional systems in which difficulty increases sequentially. Engagement, however, did not differ across systems.

Paper Citation

in Harvard Style

Awad M., Salah J., Hamdi N. and Abdennadher S. (2022). A-Learning: A Computerized Adaptive Learning Expert System. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-562-3, pages 189-198. DOI: 10.5220/0010996300003182

in Bibtex Style

@conference{csedu22,
author={Mariz Awad and Jailan Salah and Nabila Hamdi and Slim Abdennadher},
title={A-Learning: A Computerized Adaptive Learning Expert System},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2022},
pages={189-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010996300003182},
isbn={978-989-758-562-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - A-Learning: A Computerized Adaptive Learning Expert System
SN - 978-989-758-562-3
AU - Awad M.
AU - Salah J.
AU - Hamdi N.
AU - Abdennadher S.
PY - 2022
SP - 189
EP - 198
DO - 10.5220/0010996300003182