A structural model of student continuance intentions in ChatGPT adoption
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McGill University, Montreal, QC, CANADA
Simon Fraser University, Burnaby, BC, CANADA
Online publication date: 2023-10-27
Publication date: 2023-12-01
EURASIA J. Math., Sci Tech. Ed 2023;19(12):em2366
ChatGPT has experienced unprecedented acceptance and use, capturing popular and academic attention. With this growth in use comes the need to focus on the determinants of ChatGPT use as the success of a technology or service depends largely on users’ continuance intentions. Modeling what influences students’ intention to continue using ChatGPT is important to better understand how students search for information and their decision-making process. Using a sample of 106 students, we test a structural model developed using the unified extended-confirmation model. The research model included the following elements: subjective norm, perceived usefulness of continued use, disconfirmation of their expectations from prior use, satisfaction with prior use, and continuance intention. The findings demonstrate support for the proposed research model as the research model explains 60.5% of the variance in continuance intention. In terms of the direct influence on continuance intention, the role of perceived usefulness and satisfaction were documented. The present study has the potential to serve as a starting point for improving our understanding of antecedents of continuance intentions in the context of ChatGPT.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Alneyadi, S., & Wardat, Y. (2023). CHATGPT: Revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools. Contemporary Educational Technology, 15(4), ep448.
Altman, S. (2022). Twitter.
Ambalov, I. A. (2018). A meta-analysis of IT continuance: An evaluation of the expectation-confirmation model. Telematics and Informatics, 35(6), 1561-1571.
Anders, B. A. (2023). Is using ChatGPT cheating, plagiarism, both, neither, or forward thinking? Patterns, 4(3), 100694.
Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI.
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. SSRN.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351.
Bhattacherjee, A., & Lin, C.-P. (2015). A unified model of it continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 24(4), 364-373.
Bhattacherjee, A., Perols, J., & Sanford, C. (2015). Information technology continuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49(1), 17-26.
Brockman, G., Cheung, V., Pettersson, L., Schneider, J., Schulman, J., Tang, J., & Zaremba, W. (2016). OpenAI gym. arXiv.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., & Askell, A. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877-1901.
Budzianowski, P., & Vulić, I. (2019). Hello, it’s GPT-2–How can I help you? towards the use of pretrained language models for task-oriented dialogue systems. arXiv.
Carvalho, L., Martinez-Maldonado, R., Tsai, Y. S., Markauskaite, L., & De Laat, M. (2022). How can we design for learning in an AI world? Computers and Education: Artificial Intelligence, 3, 100053.
Chatterjee, J., & Dethlefs, N. (2023). This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy. Patterns, 4(1), 100676.
Chen, Y., Chen, Y., & Heffernan, N. (2020). Personalized math tutoring with a conversational agent. arXiv.
Cho, S.-A., & Jeon, Y. J. J. (2023). The decision-making process regarding the continuance intention of using branded apps: An integrated approach to the PAM and the TPB. International Journal of Contemporary Hospitality Management.
Chow, A. R. (2023). How ChatGPT managed to grow faster than TikTok or Instagram. Time Magazine.
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating. Ensuring academic integrity in the era of ChatGPT. EdArXiv.
Dale, R. (2021). GPT-3: What’s it good for? Natural Language Engineering, 27(1), 113-118.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319.
Doleck, T., Bazelais, P., & Lemay, D. J. (2017a). Examining CEGEP students’ acceptance of CBLEs: A test of acceptance models. Education and Information Technologies, 22(5), 2523-2543.
Doleck, T., Bazelais, P., & Lemay, D. J. (2017b). Examining the antecedents of Facebook use via structural equation modeling: A case of CEGEP students. Knowledge Management & E-Learning, 9(1), 69-89.
Eysenbach, G. (2023). The role of ChatGPT, generative language models, and artificial intelligence in medical education: A conversation with ChatGPT and a call for papers. JMIR Medical Education, 9(1), e46885.
Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
García-Peñalvo, F. J. (2023). The perception of artificial intelligence in educational contexts after the launch of ChatGPT: Disruption or panic? Education in the Knowledge Society, 24, e31279.
Gordijn, B., & Have, H. T. (2023). ChatGPT: Evolution or revolution? Medicine, Health Care, and Philosophy, 26, 1-2.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
Hair, J., & Alamer, A. (2022). Partial least squares structural equation modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027.
Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2), ep421.
Haluza, D., & Jungwirth, D. (2023). Artificial intelligence and ten societal megatrends: An exploratory study using GPT-3. Systems, 11(3), 120.
Hasty, W. (2023). ChatGPT.
Henseler, J., Hubona, G., & Ray, P. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
Huang, J., Gu, S. S., Hou, L., Wu, Y., Wang, X., Yu, H., & Han, J. (2022). Large language models can self-improve. arXiv.
Jarrah, A. M., Wardat, Y., & Fidalgo, P. (2023). Using CHATGPT in academic writing is (not) a form of plagiarism: What does the literature say? Online Journal of Communication and Media Technologies, 13(4), e202346.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., …, & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? Rethinking of plagiarism detection. arXiv.
Kim, S., Park, J., & Lee, H. (2019). Automated essay scoring using a deep learning model. Journal of Educational Technology Development and Exchange, 2(1), 1-17.
King, M. R., & ChatGPT. (2023). A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cellular and Molecular Bioengineering, 16, 1-2.
Kirmani, A. R. (2022). Artificial intelligence-enabled science poetry. ACS Energy Letters, 8, 574-576.
Kock, N. (2022a). WarpPLS.
Kock, N. (2022b). WarpPLS 8.0 user manual.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
Limayem, M., & Cheung, C. M. K. (2008). Understanding information systems continuance: The case of internet-based learning technologies. Information & Management, 45(4), 227-232.
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? SSRN.
Mhlanga, D. (2023). Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. SSRN.
Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: A guidance for policymakers. UNESCO Publishing.
OpenAI. (2022). Introducing ChatGPT.
Paulus, M. J., & Langford, M. D. (2022). AI, faith, and the future: An interdisciplinary approach. Wipf and Stock Publishers.
Rosenberg, S. (2022). Ai chatbot could spell doomsday for truth. Axios.
Rudolph, J., Tan, S. & Shannon Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 343-362.
Sharples, M. (2022). Automated essay writing: An AIED opinion. International Journal of Artificial Intelligence in Education, 32, 1119-1126.
Shen, Y., Heacock, L., Elias, J., Hentel, K. D., Reig, B., Shih, G., & Moy, L. (2023). ChatGPT and other large language models are double-edged swords. Radiology, 307(2), e230163.
Sok, S., & Heng, K. (2023). ChatGPT for education and research: A review of benefits and risks. SSRN.
Tate, T. P., Doroudi, S., Ritchie, D., Xu, Y., & Uci, M. W. (2023). Educational research and AI-generated writing: Confronting the coming tsunami. EdArXiv.
Teo, T., Doleck, T., & Bazelais, P. (2018). The role of attachment in Facebook usage: A study of Canadian college students. Interactive Learning Environments, 26(2), 256-272.
Teo, T., Doleck, T., Bazelais, P., & Lemay, D. J. (2019). Exploring the drivers of technology use: A study of Nepali high school students. Educational Technology Research and Development, 67(2), 495-517.
The Official Microsoft Blog. (2023). Microsoft and OpenAI extend partnership.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425.
Wang, F. Y., Miao, Q., Li, X., Wang, X., & Lin, Y. (2023). What does ChatGPT say: The DAO from algorithmic intelligence to linguistic intelligence. IEEE/CAA Journal of Automatica Sinica, 10(3), 575-579.
Williams, C. (2023). Hype, or the future of learning and teaching? 3 limits to AI’s ability to write student essays.
Yan, D. (2023). Impact of CHATGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies.
Yildirim-Erbasli, S. N., & Bulut, O. (2023). Conversation-based assessment: A novel approach to boosting test-taking effort in digital formative assessment. Computers and Education: Artificial Intelligence, 4, 100135.
Zhai, X. (2023). ChatGPT user experience: Implications for education. SSRN.
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