Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning
This paper examines the critical factors influencing the performance of Learning Management Systems (LMS), emphasizing user satisfaction and loyalty. Employing a quantitative approach, structural equation modeling (SEM) was used to analyze survey data from 266 university students actively utilizing...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10921636/ |
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| author | Latifa Abdullah Almusfar |
| author_facet | Latifa Abdullah Almusfar |
| author_sort | Latifa Abdullah Almusfar |
| collection | DOAJ |
| description | This paper examines the critical factors influencing the performance of Learning Management Systems (LMS), emphasizing user satisfaction and loyalty. Employing a quantitative approach, structural equation modeling (SEM) was used to analyze survey data from 266 university students actively utilizing LMS platforms. Findings reveal that system quality significantly impacts user satisfaction, emphasizing reliability and usability. Adaptive learning enhances satisfaction and engagement by tailoring educational content to individual needs. Trust, particularly regarding data security and system reliability, further contributes to satisfaction, underscoring the necessity of robust and transparent security measures. Although information quality positively affects user satisfaction, it is less impactful than system-related factors. Service quality, while exerting a smaller influence, highlights the importance of responsive technical support for overall functionality. Additionally, user satisfaction strongly predicts user loyalty, indicating that satisfied users are more likely to continue using and recommending LMS platforms. The study provides actionable insights for developers and educators, advocating for enhanced system performance, adaptive learning tools, and trust-building measures to foster satisfaction and loyalty. |
| format | Article |
| id | doaj-art-7bed5bbdfdcd45939dd4202f871a4267 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-7bed5bbdfdcd45939dd4202f871a42672025-08-20T02:40:40ZengIEEEIEEE Access2169-35362025-01-0113464084642510.1109/ACCESS.2025.355028810921636Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive LearningLatifa Abdullah Almusfar0https://orcid.org/0000-0002-3944-0447Department of Management Information System, College of Business Administration, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Saudi ArabiaThis paper examines the critical factors influencing the performance of Learning Management Systems (LMS), emphasizing user satisfaction and loyalty. Employing a quantitative approach, structural equation modeling (SEM) was used to analyze survey data from 266 university students actively utilizing LMS platforms. Findings reveal that system quality significantly impacts user satisfaction, emphasizing reliability and usability. Adaptive learning enhances satisfaction and engagement by tailoring educational content to individual needs. Trust, particularly regarding data security and system reliability, further contributes to satisfaction, underscoring the necessity of robust and transparent security measures. Although information quality positively affects user satisfaction, it is less impactful than system-related factors. Service quality, while exerting a smaller influence, highlights the importance of responsive technical support for overall functionality. Additionally, user satisfaction strongly predicts user loyalty, indicating that satisfied users are more likely to continue using and recommending LMS platforms. The study provides actionable insights for developers and educators, advocating for enhanced system performance, adaptive learning tools, and trust-building measures to foster satisfaction and loyalty.https://ieeexplore.ieee.org/document/10921636/Learning management system (LMS)user engagement (UE)trust (T)adaptive learning (AL)system quality (SQ)information quality (IQ) |
| spellingShingle | Latifa Abdullah Almusfar Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning IEEE Access Learning management system (LMS) user engagement (UE) trust (T) adaptive learning (AL) system quality (SQ) information quality (IQ) |
| title | Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning |
| title_full | Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning |
| title_fullStr | Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning |
| title_full_unstemmed | Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning |
| title_short | Improving Learning Management System Performance: A Comprehensive Approach to Engagement, Trust, and Adaptive Learning |
| title_sort | improving learning management system performance a comprehensive approach to engagement trust and adaptive learning |
| topic | Learning management system (LMS) user engagement (UE) trust (T) adaptive learning (AL) system quality (SQ) information quality (IQ) |
| url | https://ieeexplore.ieee.org/document/10921636/ |
| work_keys_str_mv | AT latifaabdullahalmusfar improvinglearningmanagementsystemperformanceacomprehensiveapproachtoengagementtrustandadaptivelearning |