Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3664934.3664945acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicieiConference Proceedingsconference-collections
research-article
Open access

Understanding Students'Attitudes and Behavioral Intentions Towards Using ChatGPT

Published: 09 July 2024 Publication History

Abstract

While the release of ChatGPT has sparked heated polarized debates in the education sector, there is no academic research on students’ attitudes and behavioral intentions regarding ChatGPT usage. To fill this gap, we employed the integrated AI acceptance-avoidance model (IAAAM) to investigate the impact of positive and negative factors on students’ attitudes and intentions toward ChatGPT. Our empirical results indicate that IAAAM offers a comprehensive understanding and prediction of students’ attitudes and intentions related to ChatGPT. This study advances our conceptual and empirical understanding of students’ attitudes and intentions regarding using ChatGPT. It also provides valuable implications for education policymakers, educators, and students by highlighting the importance of maintaining a balanced approach to the use of ChatGPT.

References

[1]
Abramson, A., How to use ChatGPT as a learning tool. American Psychological Association, 2023.
[2]
Watkins, R., N.B. Milman, and M. Corry, New Artificial Intelligence Technologies and Potential Educational Implications. Distance Learning, 2022. 19(4): p. 101-105.
[3]
Cao, G., Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation, 2021. 106: p. 102312.
[4]
Biswas, S., Role of Chat GPT in Education. Available at SSRN 4369981, 2023.
[5]
Sullivan, M., A. Kelly, and P. McLaughlan, ChatGPT in higher education: Considerations for academic integrity and student learning. 2023.
[6]
Kasneci, E., ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 2023. 103: p. 102274.
[7]
Heaven, W., ChatGPT is going to change education, not destroy it. 2023, MIT Technology Review.
[8]
Alser, M. and E. Waisberg, Concerns with the usage of ChatGPT in Academia and Medicine: A viewpoint. Am. J. Med. Open, 2023. 100036.
[9]
Qi, X., Z. Zhu, and B. Wu, The Promise and Peril of ChatGPT in Geriatric Nursing Education: What We Know and Do Not Know. 2023, Elsevier. p. 100136.
[10]
Hung, J. and J. Chen, The Benefits, Risks and Regulation of Using ChatGPT in Chinese Academia: A Content Analysis. Social Sciences, 2023. 12(7): p. 380.
[11]
Breward, M., K. Hassanein, and M. Head, Understanding consumers’ attitudes toward controversial information technologies: A contextualization approach. Information Systems Research, 2017. 28(4): p. 760-774.
[12]
Liang, H. and Y.L. Xue, Understanding security behaviors in personal computer usage: A threat avoidance perspective. Journal of the association for information systems, 2010. 11(7): p. 1.
[13]
Agogo, D. and T.J. Hess, “How does tech make you feel?” a review and examination of negative affective responses to technology use. European Journal of Information Systems, 2018. 27(5): p. 570-599.
[14]
Balakrishnan, J. and Y.K. Dwivedi, Role of cognitive absorption in building user trust and experience. Psychology & Marketing, 2021. 38(4): p. 643-668.
[15]
Van Esch, P. and J.S. Black, Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting. Business Horizons, 2019. 62(6): p. 729-739.
[16]
Gursoy, D., Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 2019. 49: p. 157-169.
[17]
Pan, J., Exploring behavioural intentions toward smart healthcare services among medical practitioners: A technology transfer perspective. International Journal of Production Research, 2019. 57(18): p. 5801-5820.
[18]
Dwivedi, Y.K., Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 2021. 57: p. 101994.
[19]
Ransbotham, S., Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review, 2017. 59(1).
[20]
Venkatesh, V., J.Y. Thong, and X. Xu, Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems, 2016. 17(5): p. 328-376.
[21]
Wang, T., Exploring determinants of adoption intentions towards Enterprise 2.0 applications: an empirical study. Behaviour & Information Technology, 2014. 33(10): p. 1048-1064.
[22]
Brock, J.K.-U. and F. Von Wangenheim, Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California management review, 2019. 61(4): p. 110-134.
[23]
Lin, H., O.H. Chi, and D. Gursoy, Antecedents of customers’ acceptance of artificially intelligent robotic device use in hospitality services. Journal of Hospitality Marketing & Management, 2020. 29(5): p. 530-549.
[24]
Schweitzer, F., Servant, friend or master? The relationships users build with voice-controlled smart devices. Journal of Marketing Management, 2019. 35(7-8): p. 693-715.
[25]
Niehueser, W. and G. Boak, Introducing artificial intelligence into a human resources function. Industrial and commercial training, 2020. 52(2): p. 121-130.
[26]
Edwards, J.S., Y. Duan, and P.C. Robins, An analysis of expert systems for business decision making at different levels and in different roles. European Journal of Information Systems, 2000. 9(1): p. 36-46.
[27]
Liang, H. and Y. Xue, Avoidance of information technology threats: A theoretical perspective. MIS quarterly, 2009: p. 71-90.
[28]
Carpenter, D., Refining technology threat avoidance theory. Communications of the Association for Information Systems, 2019. 44.
[29]
Sharma, R., G. Singh, and S. Sharma, Modelling internet banking adoption in Fiji: A developing country perspective. International Journal of Information Management, 2020. 53: p. 102116.
[30]
Dwivedi, Y.K., An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 2017. 34(2): p. 211-230.
[31]
Venkatesh, V., J.Y. Thong, and X. Xu, Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 2012: p. 157-178.
[32]
Cao, G., Students’ relative attitudes and relative intentions to Use E-Learning Systems. 2022.
[33]
Bokolo Jr, A., A managerial perspective on institutions' administration readiness to diffuse blended learning in higher education: Concept and evidence. Journal of Research on Technology in Education, 2020. 52(1): p. 37-64.
[34]
Hair, J.F., A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2014: Sage. 328.
[35]
Hong, W., User acceptance of agile information systems: A model and empirical test. Journal of management information systems, 2011. 28(1): p. 235-272.
[36]
Venkatesh, V., User acceptance of information technology: Toward a unified view. MIS quarterly, 2003: p. 425-478.
[37]
Brown, S.A., A.R. Dennis, and V. Venkatesh, Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of management information systems, 2010. 27(2): p. 9-54.
[38]
Zhang, P., The affective response model: A theoretical framework of affective concepts and their relationships in the ICT context. MIS quarterly, 2013: p. 247-274.
[39]
Adam, B., M. Benjamin, and L. Danny, As Uni Goes Back, Here's How Teachers and Students Can Use ChatGPT to Save Time and Improve Learning. The Conversation, 2023.
[40]
Baidoo-Anu, D. and L. Owusu Ansah, Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Available at SSRN 4337484, 2023.

Index Terms

  1. Understanding Students'Attitudes and Behavioral Intentions Towards Using ChatGPT
              Index terms have been assigned to the content through auto-classification.

              Recommendations

              Comments

              Please enable JavaScript to view thecomments powered by Disqus.

              Information & Contributors

              Information

              Published In

              cover image ACM Other conferences
              ICIEI '24: Proceedings of the 2024 9th International Conference on Information and Education Innovations
              April 2024
              133 pages
              ISBN:9798400716409
              DOI:10.1145/3664934
              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              Published: 09 July 2024

              Permissions

              Request permissions for this article.

              Check for updates

              Qualifiers

              • Research-article
              • Research
              • Refereed limited

              Conference

              ICIEI 2024

              Contributors

              Other Metrics

              Bibliometrics & Citations

              Bibliometrics

              Article Metrics

              • 0
                Total Citations
              • 207
                Total Downloads
              • Downloads (Last 12 months)207
              • Downloads (Last 6 weeks)98
              Reflects downloads up to 18 Nov 2024

              Other Metrics

              Citations

              View Options

              View options

              PDF

              View or Download as a PDF file.

              PDF

              eReader

              View online with eReader.

              eReader

              HTML Format

              View this article in HTML Format.

              HTML Format

              Login options

              Media

              Figures

              Other

              Tables

              Share

              Share

              Share this Publication link

              Share on social media