ArticleFrontiers in psychology2024
AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students-an integrated analysis utilizing UTAUT and ECM models.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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36 citing papers in PubMed, 137 citations in OpenAlex.
- Measuring health professional students' willingness to use AI chatbots in learning: A fuzzy-set qualitative comparative analysis.Anatomical sciences education · 2026Article
- Development and psychometric validation of the AI chatbots acceptance and perception scale for higher education students.Scientific reports · 2026Article
- Research on factors influencing teaching staff's continued use intention of AIGC tools: based on structural equation modeling and artificial neural networks.Scientific reports · 2026Article
- Factors influencing college student intention to use ChatGPT with an integrated TAM and IDT model.Scientific reports · 2026Article
- AI learning dependence and interpersonal incompetence in EFL contexts: The moderating role of ethical awareness.Scientific reports · 2026Article
- Determinants of the Public's Behavioral Intention to Adopt AI-Assisted Lung Cancer Screening: An Extended UTAUT Model Integrating Trust and Risk.Healthcare (Basel, Switzerland) · 2026Article
- Student perceptions of artificial intelligence in higher education: a structural analysis at an Italian university.Frontiers in psychology · 2026Article
- Professional knowledge complements general technology acceptance in mathematics teachers' critical behavioral intention toward AI.Frontiers in psychology · 2026Article
- A study on Chinese college students' acceptance of brain-computer interface technology and its underlying logic-an empirical analysis based on the extended UTAUT model.Frontiers in human neuroscience · 2026Article
- Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions.Frontiers in psychology · 2026Article
- Determinants of acceptance and usage of generative AI among Chinese medical students: a UTAUT-based empirical investigation.Frontiers in psychology · 2026Article
- Examining factors affecting the acceptance of AI-powered creativity support tools among the industrial design community in China.Scientific reports · 2025Article
- Whether and When Could Generative AI Improve College Student Learning Engagement?Behavioral sciences (Basel, Switzerland) · 2025Article
- A Systematic Review of User Attitudes Toward GenAI: Influencing Factors and Industry Perspectives.Journal of Intelligence · 2025Review
- Investigating the factors influencing users' adoption of artificial intelligence health assistants based on an extended UTAUT model.Scientific reports · 2025Article
- Prompts, privacy, and personalized learning: integrating AI into nursing education-a qualitative study.BMC nursing · 2025Article
- Factors Influencing College Students' Generative Artificial Intelligence Usage Behavior in Mathematics Learning: A Case from China.Behavioral sciences (Basel, Switzerland) · 2025Article
- The Impact of Chatbot Response Strategies and Emojis Usage on Customers' Purchase Intention: The Mediating Roles of Psychological Distance and Performance Expectancy.Behavioral sciences (Basel, Switzerland) · 2025Article
- Enhancing adolescents' exercise motivation management with generative AI anthropomorphism: a chain-mediated model of technology acceptance and self-efficacy.Frontiers in psychology · 2025Article
- Decoding the duality of GAI anthropomorphism and its joint effects-a sequential mixed-methods approach.Frontiers in psychology · 2025Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study is centered on investigating the acceptance and utilization of AI Chatbot technology among graduate students in China and its implications for higher education. Employing a fusion of the UTAUT (Unified Theory of Acceptance and Use of Technology) model and the ECM (Expectation-Confirmation Model), the research seeks to pinpoint the pivotal factors influencing students' attitudes, satisfaction, and behavioral intentions regarding AI Chatbots. The study constructs a model comprising seven substantial predictors aimed at precisely foreseeing users' intentions and behavior with AI Chatbots. Collected from 373 students enrolled in various universities across China, the self-reported data is subject to analysis using the partial-least squares method of structural equation modeling to confirm the model's reliability and validity. The findings validate seven out of the eleven proposed hypotheses, underscoring the influential role of ECM constructs, particularly "Confirmation" and "Satisfaction," outweighing the impact of UTAUT constructs on users' behavior. Specifically, users' perceived confirmation significantly influences their satisfaction and subsequent intention to continue using AI Chatbots. Additionally, "Personal innovativeness" emerges as a critical determinant shaping users' behavioral intention. This research emphasizes the need for further exploration of AI tool adoption in educational settings and encourages continued investigation of their potential in teaching and learning environments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.