Mahdi Aliyari - Department of Computer, Software, Islamic Azad University, Tehran Branch, Center, Iran

The rapid growth of information and communication technology has brought significant changes to the performance of education globally through the use of learning management systems facilitated by e-learning in higher education institutions. Despite perceived advantages such as flexible and widespread access, e-learning still faces challenges like identifying the needs of students, faculty, and staff, as well as delivering quality courses. Furthermore, there is a lack of assessment of existing e-learning initiatives and the determination of critical success factors for quality. This necessitates further research into e-learning practices to fill the identified gaps. This study presents a model for assessing the quality of e-learning systems by modifying and expanding existing frameworks for quality learning with other models and frameworks. A descriptive and exploratory research approach was employed using a cross-sectional survey of ۱۸۰ respondents from Islamic Azad University, Science and Research Branch. Data were collected through questionnaires and interviews using stratified sampling methods. The validity of the conceptual model was assessed using structural equation modeling and regression analysis. This study revealed that course design, content support, administrative support, user characteristics, organizational factors, and social support impact quality. This research has contributed to the body of knowledge from theoretical, methodological, and practical perspectives

E-learning, Quality Assessment Model, Structural Equation Modeling, Linear Regression