Afarand Scholarly Publishing Institute Health Education and Health Promotion 2588-5715 11 4 2025 07 13 Factors Associated with the Use of E-Learning among Medical University Students; An Application of Technology Acceptance Model 667 673 2477 10.58209/hehp.11.4.667 EN H. Rabiei Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran M. Barati Autism Spectrum Disorders Research Center, Hamadan University of Medical Sciences, Hamadan, Iran E. Ayubi Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran Sh. Borzouei Department of Internal Medicine, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran Journal Article 2025 07 13 <span>Aims:</span><span> Determining the effective factors in the use of e-learning among students can be useful in providing appropriate and practical solutions to increase the use of e-learning. Therefore, this study aimed to determine the factors related to the behavior of using e-learning among medical university students using the technology acceptance model (TAM) as a conceptual framework.</span><br> <span>Instrument & Methods:</span> <span>This cross-sectional study was conducted among 425 students of Hamadan University of Medical Sciences who were selected by stratified random sampling. The data collection tools included a questionnaire, including demographic data and TAM constructs. The data were analyzed in SPSS 23 software using one-way analysis of variance, independent t-test, Pearson correlation coefficient, and linear regression analysis.</span><br> <span>Findings:</span> <span>The age range of participants was between 18 and 54 years with an average age of 24.2±3.96 years. The history of participating in e-learning classes was significantly related to all the constructs of the </span><span>TAM (p<0.05). Also, undergraduate and graduate students had a significantly more positive attitude, higher perceived usefulness, and more usage intention and behavior concerning e-learning than professional doctorate students (p<0.05). Attitude (β=0.394), perceived usefulness (β=0.313), and external variables (β=0.196) were respectively the strongest predictors of intention to use e-learning (p<0.05). The intention of e-learning usage directly and significantly predicted the behavior of using it (β=0.483, p<0.05).</span><br> <span>Conclusion:</span> <span>The TAM constructs predict the behavior of using e-learning among students.</span> https://hehp.modares.ac.ir/article_2477_4c8c76b39d294759a9000cbda3a6571a.pdf