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SmartBlendEd: Enhancing blended learning through AI-optimized scheduling and user-centric design

Authors :
Lahoussaine Ait Ounejjar
Mohamed Lachgar
Oussama Ouhayou
My Driss Laanaoui
Elhadi Refki
Reda Makaoui
Abdelghani Saoud
Source :
SoftwareX, Vol 27, Iss , Pp 101891- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

This paper introduces SmartBlendEd, an innovative platform designed to enhance blended learning through advanced AI-driven scheduling. SmartBlendEd optimizes educational logistics by dynamically adapting to the individual needs of students and educators, significantly reducing administrative overhead and enhancing learning outcomes. The platform integrates artificial intelligence to personalize educational experiences and streamline the scheduling process, enabling educators to focus more on pedagogy and less on coordination tasks. Empirical evidence showcasing the platform’s efficacy in real-world settings is discussed, along with challenges such as technological disparities, data security, and user adoption. This study contributes to the discourse on leveraging technology to improve blended learning environments, offering insights into future technological advancements in education.

Details

Language :
English
ISSN :
23527110
Volume :
27
Issue :
101891-
Database :
Directory of Open Access Journals
Journal :
SoftwareX
Publication Type :
Academic Journal
Accession number :
edsdoj.f3840302f6f9466692e98f4f3ad10cff
Document Type :
article
Full Text :
https://doi.org/10.1016/j.softx.2024.101891