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Modeling students’ perceptions of artificial intelligence assisted language learning
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Modeling students’ perceptions of artificial intelligence assisted language learning (2023)Modeling students’ perceptions of artific…Learners’ perceived AI presences in AI-supported language learning: a study of AI as a humanized agent from community of inquiry (2022)Learners’ perceived AI presen…Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value’ (2022)Factors predicting University…Exploring AI chatbot affordances in the EFL classroom: young learners’ experiences and perspectives (2022)Exploring AI chatbot affordan…The theory of planned behavior: Frequently asked questions (2020)The theory of planned behavio…The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2020)The extended Unified Theory o…The relationship between English language learners’ motivation and online self-regulation: A structural equation modelling approach (2018)The relationship between Engl…Relating motivation to information and communication technology acceptance: Self-determination theory perspective (2015)Relating motivation to inform…Language Learning Motivation in China: Results of a Large-Scale Stratified Survey (2014)Language Learning Motivation …Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Consumer Acceptance and Use o…Age differences in resistance to peer influence. 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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 1995Motivation in Education: Theory, Research, and Applications5,748 cited
  • 2005The Psychology of the Language Learner: Individual Differences in Second Language Acquisition4,076 cited
  • 2020The theory of planned behavior: Frequently asked questions3,341 cited
  • 2006Structural Equation Modeling and Natural Systems2,430 cited
  • 2007Age differences in resistance to peer influence.1,579 cited
  • 2020The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation657 cited
  • 2003The Role of Structural Equation Modeling in Scale Development452 cited
  • 2022Exploring AI chatbot affordances in the EFL classroom: young learners’ experiences and perspectives433 cited
  • 2014Language Learning Motivation in China: Results of a Large-Scale Stratified Survey363 cited
  • 2015Relating motivation to information and communication technology acceptance: Self-determination theory perspective206 cited
  • 2022Learners’ perceived AI presences in AI-supported language learning: a study of AI as a humanized agent from community of inquiry

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183 cited
  • 2018The relationship between English language learners’ motivation and online self-regulation: A structural equation modelling approach173 cited
  • 2022Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value’165 cited
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    • 2024Factors influencing students’ acceptance and use generative artificial intelligence in elementary education: an expansion of the UTAUT model113 cited
    • 2023Exploring students’ acceptance of an artificial intelligence speech evaluation program for EFL speaking practice: an application of the Integrated Model of Technology Acceptance86 cited
    • 2024Revolutionizing L2 speaking proficiency, willingness to communicate, and perceptions through artificial intelligence: a case of Speeko application84 cited
    • 2024Acceptance and use of artificial intelligence and AI-based applications in education: A meta-analysis and future direction76 cited
    • 2024Investigating the Role of AI Tools in Enhancing Translation Skills, Emotional Experiences, and Motivation in L2 Learning74 cited
    • 2024AI in informal digital English learning: A meta-analysis of its effectiveness on proficiency, motivation, and self-regulation72 cited
    • 2024Exploring the acceptance of generative artificial intelligence for language learning among EFL postgraduate students: An extended TAM approach53 cited
    • 2024Driving Factors of Generative AI Adoption in New Product Development Teams from a UTAUT Perspective49 cited
    • 2025International perspectives on artificial intelligence in higher education: An explorative study of students’ intention to use ChatGPT across the Nordic countries and the USA49 cited
    • 2024From shy to fly: Facilitating EFL learners’ willingness to communicate with an AI chatbot and an intelligent tutoring system47 cited
    • 2024Student engagement and speaking performance in AI-assisted learning environments: A mixed-methods study from Chinese middle schools40 cited
    • 2024Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task–Technology Fit Theory and the Artificial Intelligence Device Use Acceptance Model39 cited