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

Year: 2024

Type: software-paper

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.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101891

Authors: Lahoussaine Ait Ounejjar, Mohamed Lachgar, Oussama Ouhayou, My Driss Laanaoui, Elhadi Refki, Reda Makaoui, Abdelghani Saoud

Institutions: Cadi Ayyad University, École Normale Supérieure - Marrakech, Chouaib Doukkali University, Mohammed V University

Language: English

Topic: Online and Blended Learning

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $970

OpenAlex ID: W4402348715

Cites: 19

Cited by: 8

Related to: 10