The Acceptance and Diffusion of Generative Artificial Intelligence in Education: A Literature Review
Download Full-Text Article

Keywords

ChatGPT
Google Bard
large language models
artificial intelligence
generative AI

How to Cite

Baytak, A. (2023). The Acceptance and Diffusion of Generative Artificial Intelligence in Education: A Literature Review. Current Perspectives in Educational Research, 6(1), 7–18. https://doi.org/10.46303/cuper.2023.2

Abstract

The last century can be considered the era of technology. There are always new technologies blooming. The time span between the developments of technology shortened. The acceptance and adoption of each new technology can be different. However, the technology acceptance model (TAM) and diffusion of innovation theory (DOI) propose that there are some patterns for usage of any new technologies. Meanwhile, there is tremendous interest on artificial intelligence (AI) technologies after the ChatGPT trend. Thus, the purpose of is study is to explore the most current literature review of the acceptance and adoption of ChatGPT and Google Bard type Large Language Models (LLM) and generative AI by educational settings. The study used literature review methodology. The review was a systematic perspective which going through the study on acceptance and adoption of some popular technology in education settings in the current days. The review of the literature shows that there is an acceptance of the models in education but with doubts.  

https://doi.org/10.46303/cuper.2023.2
Download Full-Text Article

References

Ahn S. (2023). The impending impacts of large language models on medical education. Korean J Med Educ, 35(1),103-107. https://doi.org/10.3946/kjme.2023.253

AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60-68. https://doi.org/10.37965/jait.2023.0184

Albirini, A. (2006). Teachers' attitudes toward information and communication technologies: The case of Syrian EFL teachers. Computers & Education, 47(4), 373-398. https://doi.org/10.1016/j.compedu.2004.10.013

Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M. (2021). Factors Affecting the Adoption of Social Media in Higher Education: A Systematic Review of the Technology Acceptance Model. In: Al-Emran, M., Shaalan, K., Hassanien, A. (eds) Recent Advances in Intelligent Systems and Smart Applications. Studies in Systems, Decision and Control, vol 295, 571–584. https://doi.org/10.1007/978-3-030-47411-9_31

Ayanwale, M. (2023). Can Experience Determine the Adoption of Industrial Revolution 4.0 Skills in 21st Century Mathematics Education?. Research in Social Sciences and Technology, 8(1), 74-91. https://doi.org/10.46303/ressat.2023.6

Aydın, Ö. (2023). Google Bard Generated Literature Review. Metaverse, SSRN, https://ssrn.com/abstract=4454615

Baytak, A., & Hirca, N. (2013). Prospective teachers’ lived experience on computer-based instructional materials: A phenomenological study. Anthropologist, 16(1-2), 97-109. https://doi.org/10.1080/09720073.2013.11891339

Castillo-González, W. (2023). The importance of human supervision in the use of ChatGPT as a support tool in scientific writing. Metaverse Basic and Applied Research, 2, 29-29. https://doi.org/10.56294/mr202329

Clark, R. E. (1994). Media Will Never Influence Learning. Educational Technology Research and Development, 42(2), 21-29. https://doi.org/10.1007/BF02299088

Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444-452. https://doi.org/10.1007/s10956-023-10039-y

Cuban, L. (1986). Teachers and Machines: The Classroom Use of Technology since 1920. Teachers College Press.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Duarte F. (2023). Number of ChatGPT Users. Exploding Topics. May 16, 2023 https://explodingtopics.com/blog/chatgpt-users

Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255-284. https://doi.org/10.1080/15391523.2010.10782551

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, 8, 1166682. https://doi.org/10.3389/feduc.2023.1166682

Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P. & Kyriakidou, O. (2004), Diffusion of innovations in service organizations: Systematic review and recommendations. The Milbank Quarterly, 82, 581-629. https://doi.org/10.1111/j.0887-378X.2004.00325.x

Grine, F. E. Fleagle, J. G., & Leakey, R. E. (2009). The First Humans: Origin and Early Evolution of the Genus Homo. Springer https://doi.org/10.1007/978-1-4020-9980-9

Hew, K. F., & Cheung, W. S. (2014). Students' and instructors' use of massive open online courses (MOOCs): Motivations and challenges. Educational Research Review, 12, 45-58. https://doi.org/10.1016/j.edurev.2014.05.001

Hirschbuhl, J. J., & Goolsby, T. W. (1994). Multimedia in the Classroom: A Study of Technology Acceptance and Utilization. Journal of Research on Computing in Education, 26(4), 565-579.

Ivanov, S., & Soliman, M. (2023). Game of algorithms: ChatGPT implications for the future of tourism education and research. Journal of Tourism Futures, 9(2), 214-221. https://doi.org/10.1108/JTF-02-2023-0038

Junco, R., Heiberger, G., & Loken, E. (2011). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning, 27(2), 119-132. https://doi.org/10.1111/j.1365-2729.2010.00387.x

Kahlon, K., Iyyer, M., & Boyd-Graber, J. (2021). Nudging students with language models improves response quality in asynchronous online discussions. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, (pp. 1-14).

Kasneci, E. Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, G., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T. Nerdel, C., Pfeffer, J. Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, T., Kuhn, J., Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274, https://doi.org/10.1016/j.lindif.2023.102274

King, M.R. (2023). ChatGPT. A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education. Cel. Mol. Bioeng 16, 1–2. https://doi.org/10.1007/s12195-022-00754-8

Koraishi, O. (2023). Teaching English in the Age of AI: Embracing ChatGPT to Optimize EFL Materials and Assessment. Language Education & Technology (LET Journal), 3(1), 55-72.

Laumer, S. & Eckhardt, A. (2010). Why do people reject technologies? – Towards a unified model of resistance to it-induced organizational change. DIGIT 2010 Proceedings, 14.

https://aisel.aisnet.org/digit2010/14

Law, N., & Chow, A. (2008). Teacher factors influencing classroom ICT integration: A three-levels analysis. Journal of Educational Computing Research, 38(3), 235-254. https://doi.org/10.2190/EC.38.3.a

Liao, Y., Desmarais, M. C., & Chai, J. Y. (2021). The impact of a language model on student engagement and learning. In Proceedings of the 14th International Conference on Educational Data Mining, (pp. 554-561).

Lo C. K. (2023). What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410

Lund, B. D. and Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News, 40(3), 26-29. https://doi.org/10.1108/LHTN-01-2023-0009

Mark, nd. (2023). Google Bard Statistics & facts [June 2023]. Ml Yearning https://www.mlyearning.org/google-bard-statistics-facts/ June 1, 2023

McKenna, M. C., Labbo, L. D., Reinking, D., & Zucker, T. A. (2003). Effective uses of technology in literacy instruction. Best practices in literacy instruction, 2, 307-331.

Mearian, L. (2023). What are LLMs, and how are they used in generative AI? Computerworld, May 30, 2023, https://www.computerworld.com/article/3697649/what-are-large-language-models-and-how-are-they-used-in-generative-ai.html

Milano, S., McGrane, J.A. & Leonelli, S. (2023). Large language models challenge the future of higher education. Nat Mach Intell 5, 333–334 https://doi.org/10.1038/s42256-023-00644-2

Picciano, A. G., Dziuban, C. D., Graham, C. R., & Moskal, P. D. (Eds.). (2021). Blended Learning: Research Perspectives, V3. Routledge. https://doi.org/10.4324/9781003037736

Raman, R., Mandal, S., Das, P., Kaur, T., Sanjanasri, J. P., & Nedungadi, P. (2023). University students as early adopters of ChatGPT: Innovation Diffusion Study. 27 March 2023, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-2734142/v1

Rogers, E. M. (1983). Diffusion of Innovations. Free Press.

Sahin, I. (2006). Detailed review of Rogers’ Diffusion of Innovations Theory and educational technology-related studies based on Rogers’ theory. The Turkish Online Journal of Educational Technology – TOJET 5(2), 14-23.

Sallam, M. (2023) ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare, 11(6), 887-898. https://doi.org/10.3390/healthcare11060887

Sallam, M., Salim, N., Barakat, M., Al-Mahzoum, K., Al-Tammemi, A. B., Malaeb, D., Hallit, R., Hallit, S. (2023). Validation of a technology acceptance model-based scale TAME-ChatGPT on health students attitudes and usage of ChatGPT in Jordan. JMIR Preprints. https://doi.org/10.2196/preprints.48254

Salomon, G. (1981). Communication and Education: Social and Psychological Interactions. Jossey-Bass.

Shahsavar, Y., & Choudhury, A. (2023). User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study. JMIR Human Factors, 10(1), e47564. https://doi.org/10.2196/47564

Stieglitz, S., Mirza, P., & Laumer, S. (2021). What chatbots can do for education: A review of chatbot applications in learning and teaching. International Journal of Educational Technology in Higher Education, 18(1), 1-33.

Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2209881

Suppes, P. (1966). The uses of computers in education. Scientific American, 215(3), 206-223.

Thorp H. H. (2023). ChatGPT is fun, but not an author. Science, 379, 313-313. https://doi.org/10.1126/science.adg7879

Trust, T., Whalen, J., & Mouza, C. (2023). Editorial: ChatGPT: Challenges, Opportunities, and Implications for Teacher Education. Contemporary Issues in Technology and Teacher Education, 23(1), 1-23. https://www.learntechlib.org/primary/p/222408/

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926

Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019). Systematic literature review on the spread of health-related misinformation on social media. Social science & medicine, 240, 112552. https://doi.org/10.1016/j.socscimed.2019.112552

Zhao, Y., Pugh, K., Sheldon, S., & Byers, J. L. (2002). Conditions for classroom technology innovations. Teachers College Record, 104(3), 482-515. https://doi.org/10.1177/016146810210400308

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2023 Ahmet Baytak

Downloads

Download data is not yet available.