Enhancing online learning quality: a structural equation modeling analysis of educational technology implementation during the COVID-19 pandemic

Abstract

This study investigates the execution of online education at the Faculty of Tarbiyah and Teacher Training in Islamic State Universities in Indonesia during the COVID-19 pandemic. It assesses the platform's efficacy and quality, particularly regarding system, information, and service excellence. The study employs descriptive statistical analysis and structural equation modeling to discern strengths and weaknesses in the online learning environment, emphasizing system dependability and user satisfaction. It underscores the necessity for improvements in delivering timely information and enhancing responsiveness to fulfill consumer expectations better. The results highlight the necessity of strategic improvements emphasizing adaptability and service quality to enhance the online learning experience. These developments are especially vital in emergencies, where the adaptability and resilience of instructional technologies are evaluated. This study provides actionable recommendations for educational institutions to enhance the quality, resilience, and effectiveness of online learning for both students and educators, offering essential insights to address current challenges and contribute to the broader discourse on the future of online education.

Keywords

• Adaptability
• Online education
• Service quality
• Structural equation modeling
• User satisfaction