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The impact of preservice teachers’ cognitive and technological perceptions on their continuous intention to use flipped classroom
16 references·12 citing·33 second hop
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this work references cited by second hop

References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 1999Self-Efficacy: The Exercise of Control46,779 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2012Principles and Practice of Structural Equation Modeling38,893 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1998Principles and Practice of Structural Equation Modeling36,041 cited
  • 1997Self-efficacy: the exercise of control24,284 cited
  • 2001Social Cognitive Theory: An Agentic Perspective15,469 cited
  • 2002Social Foundations of Thought and Action9,908 cited
  • 2004Does Active Learning Work? A Review of the Research7,318 cited
  • 2016Principles and practice of structural equation modeling, 4th ed.3,399 cited
  • 2020The Flipped Classroom: A Survey of the Research2,435 cited
  • 2011Handbook of Self-Regulation of Learning and Performance2,125 cited
  • 2014Motivation and cognitive load in the flipped classroom: definition, rationale and a call for research1,854 cited
  • 1989Impact of conceptions of ability on self-regulatory mechanisms and complex decision making.1,556 cited

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  • 1995Application of Social Cognitive Theory to Training for Computer Skills1,502 cited
  • Cited by

    • 2022Acceptance of a flipped classroom to improve university students’ learning: An empirical study on the TAM model and the unified theory of acceptance and use of technology (UTAUT)82 cited
    • 2022Factors Influencing Students’ Continuous Intentions for Using Micro-Lectures in the Post-COVID-19 Period: A Modification of the UTAUT-2 Approach62 cited
    • 2022E-learning evaluation during the COVID-19 pandemic era based on the updated of Delone and McLean information systems success model48 cited
    • 2020A Novel Approach for Predicting the Adoption of Smartwatches Using Machine Learning Algorithms44 cited
    • 2023Investigation of learners’ behavioral intentions to use metaverse learning environment in higher education: a virtual computer laboratory36 cited
    • 2023Living Labs for AI-Enabled Public Services: Functional Determinants, User Satisfaction, and Continued Use35 cited
    • 2021Teachers’ perception of the use of mobile technologies with smart applications to enhance students’ thinking skills: a study among primary school teachers in Thailand34 cited
    • 2025Proposing a conceptual model for the adoption of artificial intelligence by teachers in STEM education33 cited
    • 2023Factors influencing the acceptance of assistive technology by teacher candidates in the context of inclusive education and special needs students27 cited
    • 2022Examination of behavioral intention toward E-learning: a case of University of the Third Age students10 cited
    • 2021Exploring the Determinants Affecting the Students’ Engagement with Online Learning: A Preliminary Investigation7 cited
    • 2023A Comparison of Research Trends in Information Literacy in Higher Education of Asian and Non-Asian Countries2 cited