Factors influencing the decision to use artificial intelligence technology (Chatgpt - AI) in learning at colleges and universities in Vinh Long province
Date Published:
25/03/2025
Online Published:
25/03/2025
Section:
Business Administration, Marketing, Commerce, and Tourism
Main Article Content
Abstract
This study investigates the factors influencing students' decisions to adopt ChatGPT – AI technology in Vinh Long province amid the growing role of AI in education. Data were collected from 250 college and university students using a structured survey and convenience sampling method. The research employs quantitative methods, utilizing Cronbach's Alpha reliability testing, exploratory factor analysis (EFA), and linear regression analysis. The results highlight four key factors significantly impacting students' adoption decisions. Perceived Ease of Use emerged as the most influential factor, followed by Performance Expectancy, Technological Innovativeness, and Social Influence. This study's main contribution is its focus on a distinct yet under-researched demographic – students in Vinh Long province. It offers new insights into their perceptions and intentions toward AI adoption in learning. The research also extends the existing literature by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model in an educational AI context. Practically, the findings provide recommendations for academic institutions, policymakers, and technology developers to improve AI-integrated learning tools that align with student needs.
Keywords
Artificial Intelligence; Student Learning; UTAUT2; TAM; Vietnam; Education; Decision to Use ChatGPT – AI
Article Details
Field of Economic (JEL Codes)
I23 - Higher Education • Research Institutions - Education and Research Institutions
References
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Agarwal, R., & Karahanna, E. . (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. Information Systems Research, 11, 387-403.
Agarwal, R., & Prasad, J. . (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9, 204-215.
Agency, V. N. N. (2024, July 18, 2024). Challenges in developing Artificial Intelligence in Vietnam. Retrieved October 6 from https://www.most.gov.vn/vn/tin-tuc/24525/nhung-thach-thuc-trong-phat-trien-tri-tue-nhan-tao-tai-viet-nam.aspx
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes. (50(2), 179-211).
Almulla, M. A. (2024). Investigating influencing factors of learning satisfaction in AI ChatGPT for research: University students perspective. Heliyon, 10(11), e32220. https://doi.org/10.1016/j.heliyon.2024.e32220
An, V. (2024, May 2, 2024). Survey of Student Perceptions of the Use of AI in Learning at selected Australian and Hong Kong Universities. Retrieved October 6 from https://tapchigiaoduc.edu.vn/article/88442/225/khao-sat-nhan-thuc-cua-sinh-vien-ve-viec-su-dung-ai-trong-hoc-tap-tai-mot-so-truong-dai-hoc-uc-va-hong-kong/
Anderson, J., Rainie, L. and Luchsinger, A. (2018). Artificial Intelligence and the Future of Humans. Pew Research Center, 1-123. https://www.pewresearch.org/internet/2018/12/10/artificial-intelligence-and-the-future-of-humans/
Arenas, M. D., Peral, J., & Ramón, J. (2015). Analyzing the influence of user satisfaction on the acceptance of new technology in higher education. Computers & Education, 81, 78-92.
Biswas, S. (2023). Role of Chat GPT in Education. SSRN. https://ssrn.com/abstract=4369981
Bui Tien Truong, T. N. T., Do Thi Thanh Van & Nguyen Van Dai. (2023). Chat Gpt Application In University Education: Impact, Opportunities And Challenges For The Information Technology Industry. Journal of the Vietnam Women's Academy, 24. http://tapchikhoahoc.hvpnvn.edu.vn/sites/default/files/9.trinhngoctruc.pdf
Buyle, R., Taelman, R., Van Compernolle, M., & Steen, M. (2018). A study on the impact of innovativeness on the perceived ease of use and usefulness of technology. Journal of Information Technology Research, 17, 45-62. https://doi.org/https://doi.org/10.4018/jitr.2018070103
Chen, L., Chen, P., and Lin, Z.,. (2020). Artificial Intelligence in Education: A Review. IEEE, 8, 75264 - 75278. https://doi.org/10.1109/ACCESS.2020.2988510
Dang, H. L. (2020). An Analysis of the Factors Affecting Intention to Use Artificial Intelligence Technology in Learning: A Case Study of Hanoi Students. ASEAN Journal of Management & Innovation(Vol. 7 No. 2 (2020): ASEAN Journal of Management & Innovation). https://doi.org/10.14456/ajmi.2020.12ajmi.stamford.edu
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly,, 13, 319-340.
Doll, W. J., Hendrickson, A. R., & Deng, H. . (1998). The theoretical and empirical relationships of user satisfaction and system performance. Journal of Management Information Systems, 15, 59-79.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. . Addison-Wesley.
Hsu, M. H., & Lu, H. P. . (2004). Why do people use social networking sites? Computers in Human Behavior, 20, 211-220.
Humbsch, P., Horn, E., Bohm, K., & Gintrowicz, R. (2024). [ChatGPT for use in technology-enhanced learning in anesthesiology and emergency medicine and potential clinical application of AI language models : Between hype and reality around artificial intelligence in medical use]. Anaesthesiologie, 73(5), 324-335. https://doi.org/10.1007/s00101-024-01403-7 (ChatGPT im Einsatz fur "technology-enhanced learning" in Anasthesiologie und Notfallmedizin und potenzielle klinische Anwendung von KI‑Sprachmodellen : Zwischen Hype und Wirklichkeit um kunstliche Intelligenz im medizinischen Einsatz.)
Khlaisang, J., Teo, T., and Huang, F.,. (2019). Acceptance of a flipped smart application for learning: a study among Thai university students. Interactive Learning Environments,, 29, 772-789. https://doi.org/https://doi.org/10.1080/10494820.2019.1612447
Kim, D. J., & Malhotra, Y. (2005). A longitudinal model of continued IS use: An integrative view of the role of intrinsic and extrinsic motivations. Information Systems Research, 16, 350-364. https://doi.org/10.1287/mnsc.1040.0326
Kim, D. J., Malhotra, Y., & Narasimhan, S. . (2005). The role of information technology in the development of trust in e-business: A structural equation modeling approach. Journal of Organizational Computing and Electronic Commerce, 15, 1-27.
Lee, V. (2022, December 20, 2022). Stanford faculty weigh in on ChatGPT's shake-up in education. Stanford - Graduate School of Education. Retrieved 06 October from https://ed.stanford.edu/news/stanford-faculty-weigh-new-ai-chatbot-s-shake-learning-and-teaching
Limayem, M., Hirt, S. G., & Cheung, C. M. K. . (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31, 705-737. https://doi.org/10.2307/25148817
Marr, B. (2018, 25 July, 2018). How is AI Used in Education -- Real World Examples of Today and a Peek into the Future. Forbes. Forbes Magazine. Retrieved 6 October from https://www.forbes.com/sites/bernardmarr/2018/07/25/how-is-ai-used-in-education-real-world-examples-of-today-and-a-peek-into-the-future/#426c3bf5586e
Monahan, J. (2023, July 2023). Artificial Intelligence, Explained. Heinz College, Carnegie Mellon University. Retrieved 6 October from https://www.heinz.cmu.edu/media/2023/july/artificial-intelligence-explained
Murugesan, S., & Cherukuri, A. K.,. (2023). The Rise of Generative Artificial Intelligence and Its Impact on Education: The Promises and Perils. IEEE, 56(5, May 2023), 116 - 121. https://doi.org/10.1109/MC.2023.3253292
Nguyen, T. H., Ngo, L. V., & Ruël, H. (2014). The role of social capital in the success of e-commerce: A case study in Vietnam. International Journal of Information Management, 34, 525-533.
Nguyen, T. H. N., Do, H. L., Hoang, H. Y., & Le, T. T. . (2017). Brand image on intention of banking services using: The case of Vietnam banks. International Journal of Sustainability Management and Information Technologies, 3, 63–72. https://doi.org/https://doi.org/10.11648/j.ijsmit.20170306.12
Parasuraman, A., & Colby, C. L. . (2001). Techno-Ready Marketing: How and Why Your Customers Adopt Technology. Free Press.
Pham, T. H., Ho, T. M., & Nguyen, H. T. (2020). Factors affecting user acceptance of mobile banking: A study of Vietnam. Journal of Science and Technology in Civil Engineering, 14, 87-94. https://doi.org/10.26459/hueuni-jed.v129i5B.5818
Raman, A., & Don, Y. . (2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6, 157-164. https://doi.org/10.5539/ies.v6n7p157
Segars, A. H., & Grover, V. . (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17, 163-176.
Thanh D. Nguyen, N. T. D. T. H. C. (2014). Acceptance and Use of Information System: E-Learning Based on Cloud Computing in Vietnam. In Information and Communication Technology EurAsia Conference, 139-149. https://doi.org/10.1007/978-3-642-55032-4_14
Thi Bich Thu Pham, L. A. D., Thi Minh Hue Le and Thi Hong Le. (2020). Factors affecting teachers’ behavioral intention of using information technology in lecturing-economic universities. Management Science Letters. https://doi.org/10.5267/j.msl.2020.3.026
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Publications Office of the European Union, Luxembourg,. https://doi.org/10.2760/337593
Venkatesh et al. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11, 342–365. https://www.jstor.org/stable/23011042
Venkatesh, V. (2003). User acceptance of information technology: Toward a unified view. . In J. I. DeGross, S. Jarvenpaa, & A. Streeter (Eds.), Proceedings of the 26th International Conference on Information Systems, 1-10.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. . MIS quarterly,(36(1), 157-178). https://doi.org/10.2307/41410412
Wei, A. (2023, 11 February, 2023). Students review ChatGPT as Oxford cautions against its use. Cherwell. Retrieved 06 October from https://www.cherwell.org/2023/02/11/chatgpt-caution-oxford/
Winn. (2023, July 14, 2023). Study finds ChatGPT boosts worker productivity in writing. MIT News. Retrieved 6 October from https://news.mit.edu/2023/study-finds-chatgpt-boosts-worker-productivity-writing-0714
Wong, K.-T. T., Timothy & Russo, Sharon. (2012). Interactive Whiteboard Acceptance: Applicability of the UTAUT Model to Student Teachers. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-012-0001-9
Yogesh K. Dwivedi, L. H., Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John Edwards, Aled Eirug, Vassilis Galanos, P. Vigneswara Ilavarasan, Marijn Janssen, Paul Jones, Arpan Kumar Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, Biagio Lucini, Rony Medaglia, Kenneth Le Meunier-FitzHugh, Leslie Caroline Le Meunier-FitzHugh, Santosh Misra, Emmanuel Mogaji, Sujeet Kumar Sharma, Jang Bahadur Singh, Vishnupriya Raghavan, Ramakrishnan Raman, Nripendra P. Rana, Spyridon Samothrakis, Jak Spencer, Kuttimani Tamilmani, Annie Tubadji, Paul Walton, Michael D. Williams,. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Zhang, V. (2010). Unified theory of acceptance and use of technology: UTAUT and UTAUT2. In Proceedings of the 2010 International Conference on Information Systems, 1-20.
Fuchs, K. (2023, May). Exploring the opportunities and challenges of NLP models in higher education: is Chat GPT a blessing or a curse?. In Frontiers in education (Vol. 8, p. 1166682). Frontiers Media SA.
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of applied learning and teaching, 6(1), 342-363.
Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2), 1-24.
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning & Teaching. 10.37074/jalt.2023.6.1.17
Wang, H., Dang, A., Wu, Z., & Mac, S. (2024). Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines. Computers and Education: Artificial Intelligence, 7, 100326. https://doi.org/10.1016/j.caeai.2024.100326
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). User acceptance of information technology: A meta-analysis of the technology acceptance model. International Journal of Human-Computer Studies, 38(3), 387-400.
Agarwal, R., & Karahanna, E. . (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. Information Systems Research, 11, 387-403.
Agarwal, R., & Prasad, J. . (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9, 204-215.
Agency, V. N. N. (2024, July 18, 2024). Challenges in developing Artificial Intelligence in Vietnam. Retrieved October 6 from https://www.most.gov.vn/vn/tin-tuc/24525/nhung-thach-thuc-trong-phat-trien-tri-tue-nhan-tao-tai-viet-nam.aspx
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes. (50(2), 179-211).
Almulla, M. A. (2024). Investigating influencing factors of learning satisfaction in AI ChatGPT for research: University students perspective. Heliyon, 10(11), e32220. https://doi.org/10.1016/j.heliyon.2024.e32220
An, V. (2024, May 2, 2024). Survey of Student Perceptions of the Use of AI in Learning at selected Australian and Hong Kong Universities. Retrieved October 6 from https://tapchigiaoduc.edu.vn/article/88442/225/khao-sat-nhan-thuc-cua-sinh-vien-ve-viec-su-dung-ai-trong-hoc-tap-tai-mot-so-truong-dai-hoc-uc-va-hong-kong/
Anderson, J., Rainie, L. and Luchsinger, A. (2018). Artificial Intelligence and the Future of Humans. Pew Research Center, 1-123. https://www.pewresearch.org/internet/2018/12/10/artificial-intelligence-and-the-future-of-humans/
Arenas, M. D., Peral, J., & Ramón, J. (2015). Analyzing the influence of user satisfaction on the acceptance of new technology in higher education. Computers & Education, 81, 78-92.
Biswas, S. (2023). Role of Chat GPT in Education. SSRN. https://ssrn.com/abstract=4369981
Bui Tien Truong, T. N. T., Do Thi Thanh Van & Nguyen Van Dai. (2023). Chat Gpt Application In University Education: Impact, Opportunities And Challenges For The Information Technology Industry. Journal of the Vietnam Women's Academy, 24. http://tapchikhoahoc.hvpnvn.edu.vn/sites/default/files/9.trinhngoctruc.pdf
Buyle, R., Taelman, R., Van Compernolle, M., & Steen, M. (2018). A study on the impact of innovativeness on the perceived ease of use and usefulness of technology. Journal of Information Technology Research, 17, 45-62. https://doi.org/https://doi.org/10.4018/jitr.2018070103
Chen, L., Chen, P., and Lin, Z.,. (2020). Artificial Intelligence in Education: A Review. IEEE, 8, 75264 - 75278. https://doi.org/10.1109/ACCESS.2020.2988510
Dang, H. L. (2020). An Analysis of the Factors Affecting Intention to Use Artificial Intelligence Technology in Learning: A Case Study of Hanoi Students. ASEAN Journal of Management & Innovation(Vol. 7 No. 2 (2020): ASEAN Journal of Management & Innovation). https://doi.org/10.14456/ajmi.2020.12ajmi.stamford.edu
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly,, 13, 319-340.
Doll, W. J., Hendrickson, A. R., & Deng, H. . (1998). The theoretical and empirical relationships of user satisfaction and system performance. Journal of Management Information Systems, 15, 59-79.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. . Addison-Wesley.
Hsu, M. H., & Lu, H. P. . (2004). Why do people use social networking sites? Computers in Human Behavior, 20, 211-220.
Humbsch, P., Horn, E., Bohm, K., & Gintrowicz, R. (2024). [ChatGPT for use in technology-enhanced learning in anesthesiology and emergency medicine and potential clinical application of AI language models : Between hype and reality around artificial intelligence in medical use]. Anaesthesiologie, 73(5), 324-335. https://doi.org/10.1007/s00101-024-01403-7 (ChatGPT im Einsatz fur "technology-enhanced learning" in Anasthesiologie und Notfallmedizin und potenzielle klinische Anwendung von KI‑Sprachmodellen : Zwischen Hype und Wirklichkeit um kunstliche Intelligenz im medizinischen Einsatz.)
Khlaisang, J., Teo, T., and Huang, F.,. (2019). Acceptance of a flipped smart application for learning: a study among Thai university students. Interactive Learning Environments,, 29, 772-789. https://doi.org/https://doi.org/10.1080/10494820.2019.1612447
Kim, D. J., & Malhotra, Y. (2005). A longitudinal model of continued IS use: An integrative view of the role of intrinsic and extrinsic motivations. Information Systems Research, 16, 350-364. https://doi.org/10.1287/mnsc.1040.0326
Kim, D. J., Malhotra, Y., & Narasimhan, S. . (2005). The role of information technology in the development of trust in e-business: A structural equation modeling approach. Journal of Organizational Computing and Electronic Commerce, 15, 1-27.
Lee, V. (2022, December 20, 2022). Stanford faculty weigh in on ChatGPT's shake-up in education. Stanford - Graduate School of Education. Retrieved 06 October from https://ed.stanford.edu/news/stanford-faculty-weigh-new-ai-chatbot-s-shake-learning-and-teaching
Limayem, M., Hirt, S. G., & Cheung, C. M. K. . (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31, 705-737. https://doi.org/10.2307/25148817
Marr, B. (2018, 25 July, 2018). How is AI Used in Education -- Real World Examples of Today and a Peek into the Future. Forbes. Forbes Magazine. Retrieved 6 October from https://www.forbes.com/sites/bernardmarr/2018/07/25/how-is-ai-used-in-education-real-world-examples-of-today-and-a-peek-into-the-future/#426c3bf5586e
Monahan, J. (2023, July 2023). Artificial Intelligence, Explained. Heinz College, Carnegie Mellon University. Retrieved 6 October from https://www.heinz.cmu.edu/media/2023/july/artificial-intelligence-explained
Murugesan, S., & Cherukuri, A. K.,. (2023). The Rise of Generative Artificial Intelligence and Its Impact on Education: The Promises and Perils. IEEE, 56(5, May 2023), 116 - 121. https://doi.org/10.1109/MC.2023.3253292
Nguyen, T. H., Ngo, L. V., & Ruël, H. (2014). The role of social capital in the success of e-commerce: A case study in Vietnam. International Journal of Information Management, 34, 525-533.
Nguyen, T. H. N., Do, H. L., Hoang, H. Y., & Le, T. T. . (2017). Brand image on intention of banking services using: The case of Vietnam banks. International Journal of Sustainability Management and Information Technologies, 3, 63–72. https://doi.org/https://doi.org/10.11648/j.ijsmit.20170306.12
Parasuraman, A., & Colby, C. L. . (2001). Techno-Ready Marketing: How and Why Your Customers Adopt Technology. Free Press.
Pham, T. H., Ho, T. M., & Nguyen, H. T. (2020). Factors affecting user acceptance of mobile banking: A study of Vietnam. Journal of Science and Technology in Civil Engineering, 14, 87-94. https://doi.org/10.26459/hueuni-jed.v129i5B.5818
Raman, A., & Don, Y. . (2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6, 157-164. https://doi.org/10.5539/ies.v6n7p157
Segars, A. H., & Grover, V. . (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17, 163-176.
Thanh D. Nguyen, N. T. D. T. H. C. (2014). Acceptance and Use of Information System: E-Learning Based on Cloud Computing in Vietnam. In Information and Communication Technology EurAsia Conference, 139-149. https://doi.org/10.1007/978-3-642-55032-4_14
Thi Bich Thu Pham, L. A. D., Thi Minh Hue Le and Thi Hong Le. (2020). Factors affecting teachers’ behavioral intention of using information technology in lecturing-economic universities. Management Science Letters. https://doi.org/10.5267/j.msl.2020.3.026
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Publications Office of the European Union, Luxembourg,. https://doi.org/10.2760/337593
Venkatesh et al. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11, 342–365. https://www.jstor.org/stable/23011042
Venkatesh, V. (2003). User acceptance of information technology: Toward a unified view. . In J. I. DeGross, S. Jarvenpaa, & A. Streeter (Eds.), Proceedings of the 26th International Conference on Information Systems, 1-10.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. . MIS quarterly,(36(1), 157-178). https://doi.org/10.2307/41410412
Wei, A. (2023, 11 February, 2023). Students review ChatGPT as Oxford cautions against its use. Cherwell. Retrieved 06 October from https://www.cherwell.org/2023/02/11/chatgpt-caution-oxford/
Winn. (2023, July 14, 2023). Study finds ChatGPT boosts worker productivity in writing. MIT News. Retrieved 6 October from https://news.mit.edu/2023/study-finds-chatgpt-boosts-worker-productivity-writing-0714
Wong, K.-T. T., Timothy & Russo, Sharon. (2012). Interactive Whiteboard Acceptance: Applicability of the UTAUT Model to Student Teachers. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-012-0001-9
Yogesh K. Dwivedi, L. H., Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John Edwards, Aled Eirug, Vassilis Galanos, P. Vigneswara Ilavarasan, Marijn Janssen, Paul Jones, Arpan Kumar Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, Biagio Lucini, Rony Medaglia, Kenneth Le Meunier-FitzHugh, Leslie Caroline Le Meunier-FitzHugh, Santosh Misra, Emmanuel Mogaji, Sujeet Kumar Sharma, Jang Bahadur Singh, Vishnupriya Raghavan, Ramakrishnan Raman, Nripendra P. Rana, Spyridon Samothrakis, Jak Spencer, Kuttimani Tamilmani, Annie Tubadji, Paul Walton, Michael D. Williams,. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Zhang, V. (2010). Unified theory of acceptance and use of technology: UTAUT and UTAUT2. In Proceedings of the 2010 International Conference on Information Systems, 1-20.
Fuchs, K. (2023, May). Exploring the opportunities and challenges of NLP models in higher education: is Chat GPT a blessing or a curse?. In Frontiers in education (Vol. 8, p. 1166682). Frontiers Media SA.
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of applied learning and teaching, 6(1), 342-363.
Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2), 1-24.
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning & Teaching. 10.37074/jalt.2023.6.1.17
Wang, H., Dang, A., Wu, Z., & Mac, S. (2024). Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines. Computers and Education: Artificial Intelligence, 7, 100326. https://doi.org/10.1016/j.caeai.2024.100326
How to Cite
Huynh, T. T. T., Huynh, T. T. N., & Dao, L. K. O. (2025). Factors influencing the decision to use artificial intelligence technology (Chatgpt - AI) in learning at colleges and universities in Vinh Long province. Journal of Finance - Marketing Research, 3(01), 15-30. https://doi.org/10.52932/jfm.v3i1e.645