Factors affecting students’ intention to use m-learning: Extending the technology acceptance model (TAM)
Author:
Affiliation:
1. School of Education, Shaanxi Normal University, Xi’an, P.R China
2. School of Economics and Management, Yan’an University, Yan’an, China
Publisher
Informa UK Limited
Subject
Education
Link
https://www.tandfonline.com/doi/pdf/10.1080/14703297.2023.2239203
Reference80 articles.
1. Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors
2. The Fear of COVID-19 Scale: Development and Initial Validation
3. Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach
4. An empirical examination of continuous intention to use m-learning: An integrated model
5. Investigating students' behavioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic
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1. Validation of technology acceptance model for virtual reality usage in collaborative learning to enhance learner performance;Innovations in Education and Teaching International;2024-01-27
2. Impact of Organizational Support on Students’ Information and Communication Technology Self-Efficacy, Engagement, and Satisfaction in a Blended Learning Environment: An Empirical Study;SAGE Open;2023-10
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