CRITICAL FACTORS INFLUENCING REMOTE LEARNING EFFECTIVENESS DURING THE COVID-19 PANDEMIC: A STRUCTURAL EQUATION MODELING APPROACH

The COVID-19 pandemic forced a rapid transition from traditional classrooms to remote learning, creating both opportunities and challenges. This study investigates factors influencing remote learning effectiveness among secondary school students. Using a quantitative design, structured surveys measured technological readiness, attitudes, motivation, and perceptions. Structural equation modeling (SEM) revealed that attitude, motivation, and perception significantly impact learning success, with student readiness, engagement, and satisfaction playing key roles. Addressing technological barriers, fostering participation, and enhancing teachers’ digital skills emerged as essential strategies. The study also emphasizes supportive home environments and attention to students’ psychological well-being. Findings offer practical guidance for creating inclusive, resilient, and adaptive educational systems prepared for future disruptions.

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Publication Details

Journal
International Journal of Modern Education
Published
2025-10-01
DOI
https://doi.org/10.35631/ijmoe.727009
Primary Topic
E-Learning and COVID-19
Type
article
Field-Weighted Citation Impact
0.00

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article

CRITICAL FACTORS INFLUENCING REMOTE LEARNING EFFECTIVENESS DURING THE COVID-19 PANDEMIC: A STRUCTURAL EQUATION MODELING APPROACH

Suraya Md Nasir, Noraffandy Yahaya, Ken Nee Chee, Wan Nur Afiqah Zulkefli
International Journal of Modern Education
E-Learning and COVID-19
article

CRITICAL FACTORS INFLUENCING REMOTE LEARNING EFFECTIVENESS DURING THE COVID-19 PANDEMIC: A STRUCTURAL EQUATION MODELING APPROACH

Suraya Md Nasir, Noraffandy Yahaya, Ken Nee Chee, Wan Nur Afiqah Zulkefli
article en

Abstract

The COVID-19 pandemic forced a rapid transition from traditional classrooms to remote learning, creating both opportunities and challenges. This study investigates factors influencing remote learning effectiveness among secondary school students. Using a quantitative design, structured surveys measured technological readiness, attitudes, motivation, and perceptions. Structural equation modeling (SEM) revealed that attitude, motivation, and perception significantly impact learning success, with student readiness, engagement, and satisfaction playing key roles. Addressing technological barriers, fostering participation, and enhancing teachers’ digital skills emerged as essential strategies. The study also emphasizes supportive home environments and attention to students’ psychological well-being. Findings offer practical guidance for creating inclusive, resilient, and adaptive educational systems prepared for future disruptions.

International Journal of Modern EducationVol. 7(27)
Universiti Sains Malaysia (MY), Sultan Idris Education University (MY), University of Technology Malaysia (MY)
Universiti Pendidikan Sultan Idris
Openalex Percentile: Top 64%
E-Learning and COVID-19
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