Search Engine Repository for the Personalization of Learning for University Students: A Case Study in Guadalajara, Mexico

DOI

10.2991/978-94-6463-254-5_24How to use a DOI?

Keywords

Educational Resources; Personalization; Web Platform; Deep Learning

Abstract

University students participating in a course face the challenge of choosing educational resources when the suggested ones are not suitable. Educational trends encourage the use and development of technologies to improve learning processes. New technological proposals suggest the development of adaptive and/or recommendation (personalization) capabilities according to the user’s specific needs. The proposed methodology focuses on the development of a web repository for exploring the recommendation of educational resources and evaluating its implementation. Two algorithms were implemented based on the publication of educational resource references. The first relates to the reference search engine, while the second focuses on analyzing user interactions with the references using an unsupervised model. The study concludes with an examination of students’ perceptions as the web repository progresses. The web prototype was used for activities designed throughout an academic cycle with 115 students from the institution. Students perceived progress in retrieving references on the web platform as they advanced through the academic cycle, providing feedback on performance, content, and visualization improvements.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - J. López-Cisneros
AU  - A. L. Franzoni-Velaquez
PY  - 2023
DA  - 2023/10/03
TI  - Search Engine Repository for the Personalization of Learning for University Students: A Case Study in Guadalajara, Mexico
BT  - Proceedings of the International Conference on Communication and Applied Technologies 2023 (ICOMTA 2023)
PB  - Atlantis Press
SP  - 238
EP  - 247
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-254-5_24
DO  - 10.2991/978-94-6463-254-5_24
ID  - López-Cisneros2023
ER  -