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Continued Intention to Use UCOM: Four Factors for Integrating With a Technology Acceptance Model to Moderate the Satisfaction of Learning

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References

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2012User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model565 cited

2012Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance560 cited

2010Motivational factors that influence the acceptance of Moodle using TAM556 cited

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2019Framework design of university communication model (UCOM) to enhance continuous intentions in teaching and e-learning process71 cited
2022The Students’ Flow Experience With the Continuous Intention of Using Online English Platforms70 cited
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2023Analysis of E-Learning System Use Using Combined TAM and ECT Factors50 cited
2021A Combined Model for Continuous Intention to Use E-Learning System32 cited
2020IT Governance Impact on Academic Performance Development32 cited
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2021Understanding Architectural Designers’ Continuous Use Intention Regarding BIM Technology: A China Case28 cited
2020Integrating Technology Acceptance Model With Social Capital Theory to Promote Passive Users’ Continuance Intention Toward Virtual Brand Communities26 cited
2022Factors Affecting Students’ Continued Usage Intention of E-Learning During COVID-19 Pandemic: Extending Delone & Mclean IS Success Model23 cited
2023The Efficiency of UTAUT2 Model in Predicting Student’s Acceptance of Using Virtual Reality Technology20 cited
2022Evaluating the couriers’ experiences of logistics platform: The extension of expectation confirmation model and technology acceptance model17 cited
2025Recent Developments in Individual Difference Research to Inform the Adoption of AI Technology16 cited