AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1268549/full |
| _version_ | 1797322488916475904 |
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| author | Weiqi Tian Jingshen Ge Yu Zhao Xu Zheng |
| author_facet | Weiqi Tian Jingshen Ge Yu Zhao Xu Zheng |
| author_sort | Weiqi Tian |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T05:15:02Z |
| format | Article |
| id | doaj.art-5fa8c04a2920454faeda7249126f8130 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-03-08T05:15:02Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-5fa8c04a2920454faeda7249126f81302024-02-07T04:28:32ZengFrontiers Media S.A.Frontiers in Psychology1664-10782024-02-011510.3389/fpsyg.2024.12685491268549AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM modelsWeiqi Tian0Jingshen Ge1Yu Zhao2Xu Zheng3College of Foreign Languages, Xinjiang University, Urumqi, ChinaCollege of Liberal Arts, Journalism and Communication, Ocean University of China, Shandong, ChinaCollege of Foreign Languages, Xinjiang University, Urumqi, ChinaCollege of Liberal Arts, Journalism and Communication, Ocean University of China, Shandong, ChinaThis 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.https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1268549/fullAI ChatbotChinese graduate studentstechnology acceptanceUTAUTECM |
| spellingShingle | Weiqi Tian Jingshen Ge Yu Zhao Xu Zheng AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models Frontiers in Psychology AI Chatbot Chinese graduate students technology acceptance UTAUT ECM |
| title | AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models |
| title_full | AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models |
| title_fullStr | AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models |
| title_full_unstemmed | AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models |
| title_short | AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models |
| title_sort | ai chatbots in chinese higher education adoption perception and influence among graduate students an integrated analysis utilizing utaut and ecm models |
| topic | AI Chatbot Chinese graduate students technology acceptance UTAUT ECM |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1268549/full |
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