ArticleBMC medical education2020
Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model.
Article in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Flipped classroom-based blended learning in histology education: investigating the effectiveness of applying a new approach to improve medical students' learning.BMC medical education · 2025Trial
- Integrated e-Learning for Shoulder Anatomy and Clinical Examination Skills in First-Year Medical Students: Randomized Controlled Trial.JMIR medical education · 2025Trial
- Comparison of the effectiveness of lecture instruction and virtual reality-based serious gaming instruction on the medical students' learning outcome about approach to coma.BMC medical education · 2021Trial
- Identifying Subgroups in Acceptance and Intended Use of Digital Technologies and the Role of Economic, Cultural, Social, and Person Capital: Latent Class Analysis.Journal of medical Internet research · 2026Article
- Adoption of circular agricultural practices among small-scale farmers.Scientific reports · 2026Article
- E-Learning Acceptance among Oncology Healthcare Professionals in Europe.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- Determinants of acceptance and usage of generative AI among Chinese medical students: a UTAUT-based empirical investigation.Frontiers in psychology · 2026Article
- Determinants of Mobile Learning Behavioral Intention Usage Among Nurses: A Nexus of UTAUT2 Model and Information System Success Model.Journal of nursing management · 2026Article
- Acceptance and Use of Technology on Digital Learning Resource Utilization and Digital Literacy Among Chinese Engineering Students: A Longitudinal Study Based on the UTAUT2 Model.Behavioral sciences (Basel, Switzerland) · 2025Article
- Shadows and light: navigating teachers' time poverty and blended teaching acceptance with social support and job satisfaction in EFL teachers' voyage.BMC psychology · 2025Article
- A study of the purchase intention of alternative foods.Scientific reports · 2025Article
- Remote online learning reimagined: perceptions and experiences of medical students in a post-pandemic world.BMC medical education · 2025Article
- Intention to use eLearning-based continuing professional development and its predictors among healthcare professionals in Amhara region referral hospitals, Ethiopia, 2023: using modified UTAUT-2 model.BMC health services research · 2025Article
- Perceived ease of use, perceived enjoyment, and continuance intention as predictors of medical students' well-being in hybrid learning: an extended TAM approach.Frontiers in psychology · 2025Article
- Blended learning Component in nursing education: A systematic review.Journal of education and health promotion · 2025Review
- Article
- Exploring the determinants on continuance participation of college students toward blended learning: the stimulating role of course characteristics and instructor support.Frontiers in psychology · 2025Article
- A study on the cognitive-consumption behavior of sports content on OTT media platforms: applying the extended technology acceptance model (E-TAM).Frontiers in human neuroscience · 2025Article
- Unraveling the dynamics of ChatGPT adoption and utilization through Structural Equation Modeling.Scientific reports · 2024Article
- Blended learning: An innovative teaching strategy to teach dermatology to the family medicine residents of a teaching hospital.Journal of family medicine and primary care · 2024Article
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Authors and funding
3 authors.
Funding
Abstract
backgroundBlended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students' intention to use blended learning.
methodsIn this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person's behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses.
resultsThe validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students' behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students' actual use of blended learning (β = 0.645, P ≤ 0.01).
conclusionThe study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students' behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.
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