Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model
The current study explores the determinants of ChatGPT adoption and utilization among a sample of Norwegian university students. The theoretical perspective of the study is anchored in the Unified Theory of Acceptance and Use of Technology (UTAUT2) and based on a previously tested model. The propose...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2371168 |
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| _version_ | 1850064179138920448 |
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| author | Simone Grassini Maren Linnea Aasen Anja Møgelvang |
| author_facet | Simone Grassini Maren Linnea Aasen Anja Møgelvang |
| author_sort | Simone Grassini |
| collection | DOAJ |
| description | The current study explores the determinants of ChatGPT adoption and utilization among a sample of Norwegian university students. The theoretical perspective of the study is anchored in the Unified Theory of Acceptance and Use of Technology (UTAUT2) and based on a previously tested model. The proposed model integrates six constructs to explain the Behavioral intentions and actual usage patterns of ChatGPT in a higher education context. The study analyzed responses from 104 students attending Universities in West and Central Norway using the partial-least squares approach to structural equation modeling. The data showed that performance expectancy emerged as the construct with the biggest impact on Behavioral intention, followed by Habit. This study contributes to the research on the factors influencing university students’ engagement with generative AI technologies. Furthermore, it contributes to a more comprehensive understanding of how tools like ChatGPT can be integrated effectively in educational contexts in both students learning and instructors teaching. |
| format | Article |
| id | doaj-art-72b406200dee47ce943bc522cd850e26 |
| institution | DOAJ |
| issn | 0883-9514 1087-6545 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj-art-72b406200dee47ce943bc522cd850e262025-08-20T02:49:22ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452024-12-0138110.1080/08839514.2024.2371168Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 ModelSimone Grassini0Maren Linnea Aasen1Anja Møgelvang2Department of Psychosocial Science, University of Bergen, Bergen, NorwayDepartment of Psychosocial Science, University of Bergen, Bergen, NorwayDivision of Academic Development, Western Norway University of Applied Sciences, Bergen, NorwayThe current study explores the determinants of ChatGPT adoption and utilization among a sample of Norwegian university students. The theoretical perspective of the study is anchored in the Unified Theory of Acceptance and Use of Technology (UTAUT2) and based on a previously tested model. The proposed model integrates six constructs to explain the Behavioral intentions and actual usage patterns of ChatGPT in a higher education context. The study analyzed responses from 104 students attending Universities in West and Central Norway using the partial-least squares approach to structural equation modeling. The data showed that performance expectancy emerged as the construct with the biggest impact on Behavioral intention, followed by Habit. This study contributes to the research on the factors influencing university students’ engagement with generative AI technologies. Furthermore, it contributes to a more comprehensive understanding of how tools like ChatGPT can be integrated effectively in educational contexts in both students learning and instructors teaching.https://www.tandfonline.com/doi/10.1080/08839514.2024.2371168 |
| spellingShingle | Simone Grassini Maren Linnea Aasen Anja Møgelvang Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model Applied Artificial Intelligence |
| title | Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model |
| title_full | Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model |
| title_fullStr | Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model |
| title_full_unstemmed | Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model |
| title_short | Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model |
| title_sort | understanding university students acceptance of chatgpt insights from the utaut2 model |
| url | https://www.tandfonline.com/doi/10.1080/08839514.2024.2371168 |
| work_keys_str_mv | AT simonegrassini understandinguniversitystudentsacceptanceofchatgptinsightsfromtheutaut2model AT marenlinneaaasen understandinguniversitystudentsacceptanceofchatgptinsightsfromtheutaut2model AT anjamøgelvang understandinguniversitystudentsacceptanceofchatgptinsightsfromtheutaut2model |