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Exploring structural relations among computer self-efficacy, perceived immersion, and intention to use virtual reality training systems

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References

2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
1977Self-efficacy: Toward a unifying theory of behavioral change.43,875 cited
1977Self-efficacy: Toward a unifying theory of behavioral change.35,363 cited
2008Technology Acceptance Model 3 and a Research Agenda on Interventions8,138 cited
2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model6,658 cited
1995Computer Self-Efficacy: Development of a Measure and Initial Test6,414 cited
1996Uses and abuses of coefficient alpha.2,585 cited
2008Measuring and defining the experience of immersion in games2,018 cited
1998The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research893 cited
2011Situational interest, computer self‐efficacy and self‐regulation: Their impact on student engagement in distance education785 cited
1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment778 cited
2016Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios692 cited
2012User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model565 cited

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2020User Acceptance of Virtual Reality: An Extended Technology Acceptance Model493 cited

2017Examining the students’ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach479 cited

2017Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships468 cited

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