Adaptive Model for the Selection of Resources and Activities in a Virtual Learning Environment

Yuranis Henriquez-Nunez, Yuranis Henriquez-Nunez, Carlos Parra, Mónica Brijaldo, Angela Carrillo-Ramos

2023

Abstract

This paper presents ALPY, an Adaptive System to support Personalized Education in Virtual Learning Environments which favors the selection process of resources and activities for a learning pathway defined by a teacher in a Virtual Learning System. This paper describes the proposed system’s architecture, the design of the profiles in ALPY, and the visual prototype. It focuses on the adaptive model ALPY PLUS, and the collection and processing of data or variables such as learning style, personality, and previous knowledge, profiling students for suggested learning resources and activities. This model has been applied in an Systems Engineering introductory course for students in the Tecnológica de Bolívar University.

Paper Citation

in Harvard Style

Henriquez-Nunez Y., Parra C., Brijaldo M. and Carrillo-Ramos A. (2023). Adaptive Model for the Selection of Resources and Activities in a Virtual Learning Environment. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-641-5, SciTePress, pages 256-263. DOI: 10.5220/0011854900003470

in Bibtex Style

@conference{csedu23,
author={Yuranis Henriquez-Nunez and Carlos Parra and Mónica Brijaldo and Angela Carrillo-Ramos},
title={Adaptive Model for the Selection of Resources and Activities in a Virtual Learning Environment},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2023},
pages={256-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011854900003470},
isbn={978-989-758-641-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Adaptive Model for the Selection of Resources and Activities in a Virtual Learning Environment
SN - 978-989-758-641-5
AU - Henriquez-Nunez Y.
AU - Parra C.
AU - Brijaldo M.
AU - Carrillo-Ramos A.
PY - 2023
SP - 256
EP - 263
DO - 10.5220/0011854900003470
PB - SciTePress