SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
AI-powered platforms in STEM education, insights from UTAUT model: PLS-SEM and artificial neural networks hybrid analysis
16 references·0 citing·38 second hop
AI-powered platforms in STEM education, insights from UTAUT model: PLS-SEM and artificial neural networks hybrid analysis (2025)AI-powered platforms in STEM education, i…The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review (2024)The Unified Theory of Accepta…Willingness of university students to continue using e-Learning platforms after compelled adoption of technology: Test of an extended UTAUT model (2023)Willingness of university stu…Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison (2023)Generation Z use of artificia…Longitudinal study of teacher acceptance of mobile virtual labs (2022)Longitudinal study of teacher…Integration of personality trait, motivation and UTAUT 2 to understand e-learning adoption in the era of COVID-19 pandemic (2022)Integration of personality tr…Factors influencing graduate students’ behavioral intention to use Google Classroom: Case study-mixed methods research (2022)Factors influencing graduate …Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model (2022)Factors influencing adoption …Educational Technology Adoption: A systematic review (2022)Educational Technology Adopti…Art education lecturers’ intention to continue using the blackboard during and after the COVID-19 pandemic: An empirical investigation into the UTAUT and TAM model (2022)Art education lecturers’ inte…An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy (2022)An Extended UTAUT Model to Ex…Accentuating technology acceptance among academicians: A conservation of resource perspective in the Malaysian context (2022)Accentuating technology accep…University students’ behavioral intention and gender differences toward the acceptance of shifting regular field training courses to e-training courses (2021)University students’ behavior…Drivers of immersive virtual reality adoption intention: a multi-group analysis in chemical industry settings (2021)Drivers of immersive virtual …The Use of UTAUT and Post Acceptance Models to Investigate the Attitude towards a Telepresence Robot in an Educational Setting (2020)The Use of UTAUT and Post Acc…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)English speaking with artificial intelligence (AI): The roles of enjoyment, willingness to communicate with AI, and innovativeness (2024)The factors affecting teachers’ adoption of AI technologies: A unified model of external and internal determinants (2025)Using thematic analysis in psychology (2006)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Online learning after the COVID-19 pandemic: Learners’ motivations (2022)Motivate students for better academic achievement: A systematic review of blended innovative teaching and its impact on learning (2024)Assessing students’ intention to adopt generative artificial intelligence (2025)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)When to use and how to report the results of PLS-SEM (2018)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Ramifications of the Unified Theory of Acceptance and Use of Technology (UTAUT) among developing countries’ higher education staffs (2023)“ENHANCING LEARNING POTENTIAL: INVESTIGATING MARKETING STUDENTS’ BEHAVIORAL INTENTIONS TO ADOPT CHATGPT” (2024)International perspectives on artificial intelligence in higher education: An explorative study of students’ intention to use ChatGPT across the Nordic countries and the USA (2025)Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model (2016)Can 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 Model (2024)A Study of Factors Influencing Chinese Design Students’ Adoption of AIGC Tools (2025)Unlocking engagement: exploring the drivers of elderly participation in digital backfeeding through community education (2025)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)PLS-SEM: Indeed a Silver Bullet (2011)In green consumption, why consumers do not walk their talk: A cross cultural examination from Saudi Arabia and UK (2023)Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach (2024)Maximizing CSR impact: Leveraging artificial intelligence and process optimization for sustainability performance management (2024)Let’s Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human–Robot Interaction at Work (2020)Telepresence Social Robotics towards Co-Presence: A Review (2022)User Acceptance Towards Non-Fungible Token (NFT) as the FinTech for Investment Management in the Metaverse (2022)Factors Affecting the Adoption and Use of ChatGPT in Higher Education (2024)Open Innovation in the Financial Sector: A Mixed-Methods Approach to Assess Bankers' Willingness to Embrace Open-AI ChatGPT (2024)Factors influencing behavioral intention to use e-learning in higher education during the COVID-19 pandemic: A meta-analytic review based on the UTAUT2 model (2025)UTAUT-2 predictors and satisfaction: implications for mobile-learning adoption among university students (2024)Investigating the factors influencing users’ adoption of artificial intelligence health assistants based on an extended UTAUT model (2025)Technology Acceptance Model in Artificial Intelligence in Education: A Meta-Analysis (2026)
this work references cited by second hop

References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2022Educational Technology Adoption: A systematic review356 cited
  • 2024The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review255 cited
  • 2023Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison173 cited
  • 2022Integration of personality trait, motivation and UTAUT 2 to understand e-learning adoption in the era of COVID-19 pandemic115 cited
  • 2022An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy102 cited
  • 2022Factors influencing graduate students’ behavioral intention to use Google Classroom: Case study-mixed methods research79 cited
  • 2020The Use of UTAUT and Post Acceptance Models to Investigate the Attitude towards a Telepresence Robot in an Educational Setting78 cited
  • 2022Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model42 cited
  • 2023Willingness of university students to continue using e-Learning platforms after compelled adoption of technology: Test of an extended UTAUT model42 cited
  • 2022Longitudinal study of teacher acceptance of mobile virtual labs38 cited
  • 2021University students’ behavioral intention and gender differences toward the acceptance of shifting regular field training courses to e-training courses

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

36 cited
  • 2022Art education lecturers’ intention to continue using the blackboard during and after the COVID-19 pandemic: An empirical investigation into the UTAUT and TAM model33 cited
  • 2021Drivers of immersive virtual reality adoption intention: a multi-group analysis in chemical industry settings28 cited
  • 2022Accentuating technology acceptance among academicians: A conservation of resource perspective in the Malaysian context24 cited
  • Cited by

    No citing works inside the corpus for this window.