Abstract
ChatGPT, an artificial intelligence (AI) language model, holds significant promise for improving the quality and efficiency of teaching and learning. However, its potential challenges and disruptions in education systems require further investigation for a deeper understanding and mitigation. Given that ChatGPT is already being utilized and complete prohibition is unlikely, it becomes crucial to consider how educators can harness its potential to enhance teaching and learning experiences, assuming successful implementation. This article explores the potential benefits and disruptions within the current education system, and proposes strategies for integrating ChatGPT into educational settings from a constructivist learning perspective. It focuses on four educational system attributes: context, collaboration, conversation, and construction. The article particularly emphasizes the utilization of ChatGPT as a means, rather than an end, to enhance student learning within a constructivist learning environment. This approach aims to address present concerns and challenges effectively.
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Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), Article 429.
Alshater, M. M., (2022). Exploring the Role of Artificial Intelligence in Enhancing Academic Performance: A Case Study of ChatGPT. https://doi.org/10.2139/ssrn.4312358
Başer, V. G., & Mutlu, N. (2011). Analyzing pre-service elementary teachers’ pedagogical beliefs. International Journal on New Trends in Education and Their Implications, 2(4), 95–101.
Bruner, J. S. (1966). Toward a theory of instruction. Harvard University Press.
Bruner, J. S. (1990). Acts of meaning: Four lectures on mind and culture (Vol. 3). Harvard University Press.
Cao, L., & Dede, C. (2023). Navigating a world of generative AI: Suggestions for educators. The Next Level Lab at Harvard Graduate School of Education. President and Fellows of Harvard College: Cambridge.
Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023). Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success. Information Systems Frontiers, 25(1), 161–182. https://doi.org/10.1007/s10796-022-10291-4
Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 1–9. https://doi.org/10.1007/s10956-023-10039-y
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1–12. https://doi.org/10.1080/14703297.2023.2190148
Deng, X., & Yu, Z. (2023). A meta-analysis and systematic review of the effect of Chatbot technology use in sustainable education. Sustainability, 15(4), Article 2940. https://doi.org/10.3390/su15042940
D'Mello, S., Olney, A., Williams, C., & Hays, P. (2012). Gaze tutor: A gaze-reactive intelligent tutoring system. International Journal of Human-Computer Studies, 70(5), 377–398. https://doi.org/10.1016/j.ijhcs.2012.01.004
Duffy, T. M., & Jonassen, D. H. (2013). Constructivism and the technology of instruction: A conversation. Routledge.
Ertmer, P. A., & Newby, T. J. (1993). Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance Improvement Quarterly, 6(4), 50–72. https://doi.org/10.1002/piq.21143
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 1–15.
Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 1–7. https://doi.org/10.37074/jalt.2023.6.1.22
Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022). Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. BioRxiv. https://doi.org/10.1101/2022.12.23.521610
Hu, G. (2023). Challenges for enforcing editorial policies on AI-generated papers. Accountability in Research, 1–3. https://doi.org/10.1080/08989621.2023.2184262
Huang, K. (2023). Alarmed by A.I. chatbots, universities start revamping how they teach. New York Times. https://www.nytimes.com/2023/01/16/technology/chatgpt-artificial-intelligence-universities.html
Hwang, G. J., & Chang, C. Y. (2021). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2021.1952615
Jain, M., Kumar, P., Bhansali, I., Liao, Q., Truong, K., & Patel, S. (2018). FarmChat: A conversational agent to answer farmer queries. Proceedings of ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4), 1–22. https://doi.org/10.1145/3287048
Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional-design theories and models, volume II: A new paradigm of instructional theory (pp. 215–239). Lawrence Erlbaum.
Jonassen, D., Davidson, M., Collins, M., Campbell, J., & Haag, B. B. (1995). Constructivism and computer-mediated communication in distance education. American Journal of Distance Education, 9(2), 7–26.
Kashyap, R. (2023). A first chat with ChatGPT: The first step in the road-map for AI (Artificial Intelligence). https://doi.org/10.32388/DFE2XG
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., Stadler, M ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kim, H. S., Cha, Y., & Kim, N. Y. (2021). Effects of AI chatbots on EFL students’ communication skills. Korean Journal of English Language and Linguistics, 21, 712–734. https://doi.org/10.15738/kjell.21..202108.712
Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973–1018. https://doi.org/10.1007/s10639-022-11177-3
Lea, G. R. (2020). Constructivism and its risks in artificial intelligence. Prometheus, 36(4), 322–346. https://doi.org/10.13169/prometheus.36.4.0322
Makewa, L. N. (2019). Constructivism theory in technology-based learning. In Technology-Supported Teaching and Research Methods for Educators (pp. 268–287). IGI Global.
Mann, D. L. (2023). Artificial intelligence discusses the role of artificial intelligence in translational medicine: A JACC: Basic to translational science interview with ChatGPT. Basic to Translational Science, 8(2), 221–223. https://doi.org/10.1016/j.jacbts.2023.01.001
Miller, J., White, S., & Johnson, D. (2019). OCLC research works in progress webinar: Deakin Genie [Webinar]. Deakin University. https://www.oclc.org/content/dam/research/presentations/2019/Deakin-Genie.pdf
Naumova, E. N. (2023). A mistake-find exercise: A teacher’s tool to engage with information innovations, ChatGPT, and their analogs. Journal of Public Health Policy, 1–6. https://doi.org/10.1057/s41271-023-00400-1
OpenAI. (2022). ChatGPT: Optimizing language models for dialogue. https://openai.com/blog/chatgpt/
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, Article 100020. https://doi.org/10.1016/j.caeai.2021.100020
Owston, R (2023). Contact North | Contact Nord to launch two new AI-powered tools at OEB Berlin, Online Educa Berlin (OEB) Insight. https://oeb.global/oeb-insights/contact-north-contact-nord-to-launch-two-new-ai-powered-tools-at-oeb-berlin/
Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliveira Santini, F., Ladeira, W. J., Sun, M., Day, I., Rather, R. A., & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.29
Reigeluth, C.M. (2012). Instructional theory and technology for the new paradigm of education. RED, Revista de Educación a Distancia, 32, 1–18. https://doi.org/10.6018/red/50/1b
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). https://doi.org/10.37074/jalt.2023.6.1.9
Sallam, M. (2023). The utility of ChatGPT as an example of large language models in healthcare education, research and practice: Systematic review on the future perspectives and potential limitations. medRxiv. https://doi.org/10.1101/2023.02.19.23286155
Schunk, D. H. (2012). Learning theories an educational perspective. Pearson Education, Inc.
Shaked, H., & Schechter, C. (2019). Systems thinking for principals of learning-focused schools. Journal of School Administration Research and Development, 4(1), 18–23. https://doi.org/10.32674/jsard.v4i1.1939
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. https://doi.org/10.1148/radiol.230163
Supiano, B. (2023). Will ChatGPT change how professors assess learning? The Chronicle of Higher Education, 69(18), 21–24.
Terwiesch, C. (2023). Would Chat GPT3 get a Wharton MBA? A prediction based on its performance in the operations management course. Mack Institute for Innovation Management at the Wharton School: University of Pennsylvania.
Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313. https://doi.org/10.1126/science.adg7879
Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard University Press.
Winkler, R., & Söllner, M. (2018). Unleashing the potential of chatbots in education: A state-of-the-art analysis. Academy of management annual meeting (AOM). https://doi.org/10.5465/AMBPP.2018.15903abstract
Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021). Are we there yet?-A systematic literature review on chatbots in education. Frontiers in Artificial Intelligence, 4, Article 654924. https://doi.org/10.3389/frai.2021.654924
Wu, E. H. K., Lin, C. H., Ou, Y. Y., Liu, C. Z., Wang, W. K., & Chao, C. Y. (2020). Advantages and constraints of a hybrid model K-12 E-learning assistant chatbot. Ieee Access, 8, 77788–77801. https://doi.org/10.1109/ACCESS.2020.2988252
Zhai, X. (2022). ChatGPT user experience: Implications for education. SSRN, Article 4312418. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4312418
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Kim, M., Adlof, L. Adapting to the Future: ChatGPT as a Means for Supporting Constructivist Learning Environments. TechTrends 68, 37–46 (2024). https://doi.org/10.1007/s11528-023-00899-x
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DOI: https://doi.org/10.1007/s11528-023-00899-x