Recommendation Model for an After-School E-learning Mobile Application

Anaëlle Badier, Mathieu Lefort, Marie Lefevre

2023

Abstract

In this article we present a learning resources recommendation system for an after-school educational mobile application. The goal of our system is to recommend relevant content among the learning resources available in the application to fit student needs and to encourage autonomous learning. The system is based on a graph of key notions to structure the application learning resources. We use the Item Response Theory method to evaluate the student knowledge and filter the most relevant resources to study depending on three learning strategies: revision, continuation and deepening. The resources filtered by the selected strategy, are ranked mainly based on a pedagogical score. The system has been implemented for the Mathematics subject and analysed for middle and high-school students in real-life conditions. In Fall 2022, we recorded the learning traces of 4 670 students that interacted with the system. By analysing experts opinions, logs and students feedback, we can conclude that our system is pedagogically relevant, appreciated and used by students.

Paper Citation

in Harvard Style

Badier A., Lefort M. and Lefevre M. (2023). Recommendation Model for an After-School E-learning Mobile Application. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-641-5, SciTePress, pages 80-87. DOI: 10.5220/0011717800003470

in Bibtex Style

@conference{csedu23,
author={Anaëlle Badier and Mathieu Lefort and Marie Lefevre},
title={Recommendation Model for an After-School E-learning Mobile Application},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2023},
pages={80-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011717800003470},
isbn={978-989-758-641-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Recommendation Model for an After-School E-learning Mobile Application
SN - 978-989-758-641-5
AU - Badier A.
AU - Lefort M.
AU - Lefevre M.
PY - 2023
SP - 80
EP - 87
DO - 10.5220/0011717800003470
PB - SciTePress