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Evaluating Students’ Acceptance Intention of Augmented Reality in Automation Systems Using the Technology Acceptance Model
16 references·2 citing·40 second hop
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 1988On the Evaluation of Structural Equation Models26,139 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2003A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study6,477 cited
  • 1982Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory2,313 cited
  • 2016e‐Learning and the Science of Instruction1,353 cited
  • 2009Mobile game‐based learning in secondary education: engagement, motivation and learning in a mobile city game548 cited
  • 2010Applying the Technology Acceptance Model to the introduction of healthcare information systems531 cited
  • 2011The concept of flow in collaborative game-based learning391 cited
  • 2005Principles of instructional design, 5th edition354 cited
  • 2011The effect of Facebook users’ arousal and valence on intention to go to the festival: Applying an extension of the technology acceptance model319 cited
  • 2006Overview and Evolution of the ADDIE Training System258 cited
  • 2010Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre-service teachers: a structural equation modeling of an extended technology acceptance model

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223 cited
  • 2011Investigating the determinants of construction professionals' acceptance of web-based training: An extension of the technology acceptance model208 cited
  • 2020A new way of teaching business ethics: The evaluation of virtual reality-based learning media169 cited
  • 2021Learning with technology during emergencies: A systematic review of K‐12 education147 cited
  • Cited by

    • 2025An empirical examination of the adoption of artificial intelligence in banking services: the case of Mongolia18 cited
    • 2025Charting the Future of Maritime Education and Training: A Technology-Acceptance-Model-Based Pilot Study on Students’ Behavioural Intention to Use a Fully Immersive VR Engine Room Simulator7 cited