Treats and Threats of Generative Artificial Intelligence (GenAI) in Education
Keywords:
Educators, Generative artificial intelligence, Threats, TreatsAbstract
Generative artificial intelligence (GenAI) has developed rapidly and influenced many fields, including education. This technology presents both opportunities and challenges for teachers. While GenAI offers possibilities to enhance teaching through individualized learning and administrative efficiency, significant concerns remain. This study undertakes a thematic analysis of six relevant research papers, selected from a pool of nearly 18 based on criteria such as relevance to GenAI's impact on education, empirical foundation, and recency (2018–2023). The papers were sourced from reputable educational databases. Themes were identified by coding and categorizing data from each paper's findings to examine both the advantages GenAI provides to teachers and the drawbacks and potential risks it poses for educators. The analysis yielded key themes representing the benefits and risks of GenAI in education. Four primary advantages were identified: (1) increased productivity, (2) assistive instruction, (3) enhanced teaching strategies, and (4) effective teaching and learning. Conversely, four major risks emerged: (1) privacy and security challenges, (2) biases and discrimination, (3) issues of accuracy and quality, and (4) potential job displacement. Each theme carries significant implications for educators, students, and policymakers seeking to integrate GenAI responsibly into educational settings.
References
Abdellatif, H., Al Mushaiqri, M., Albalushi, H., Al-Zaabi, A. A., Roychoudhury, S., & Das, S. (2022). Teaching, learning and assessing anatomy with artificial intelligence: The road to a better future. International Journal of Environmental Research and Public Health, 19(21), 14209. https://doi.org/10.3390/ijerph192114209
Algabri, H. K., Kharade, K., & Kamat, R. (2021). Promise, threats, and personalization in higher education with artificial intelligence. Webology, 18(6), 2129–2139.
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. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500
Bird, C., Ungless, E., & Kasirzadeh, A. (2023). Typology of risks of generative text-to-image models. In F. Rossi, S. Das, J. Davis, K. Firth-Butterfield, & A. John (Eds.), AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (pp. 396–410). Association for Computing Machinery. https://doi.org/10.1145/3600211.3604722
Brian, T. (2022). The integration of information technology in enhancing teaching and learning in response to COVID-19 crisis. International Journal on Advanced Technology, Engineering, and Information System, 1(1), 47–52. https://doi.org/10.55047/ijateis.v1i1.121
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100002. https://doi.org/10.1016/j.caeai.2020.100002
Daun, M., & Brings, J. (2023). How ChatGPT will change software engineering education. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1 (pp. 110–116). Association for Computing Machinery. https://doi.org/10.1145/3587102.3588815
Eke, D. O. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology, 13, 100060. https://doi.org/10.1016/j.jrt.2023.100060
García-Peñalvo, F. J. (2023). Education and generative artificial intelligence. Open challenges, opportunities, and risks in higher education. In Proceedings of the 14th International Conference on eLearning ELEARNING23. Belgrade Metropolitan University. https://doi.org/10.5281/zenodo.8385134
Hacker, P., Engel, A., & Mauer, M. (2023). Regulating ChatGPT and other large generative AI models. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 1112–1123). Association for Computing Machinery. https://doi.org/10.1145/3593013.3594067
Humble, N., & Mozelius, P. (2022). The threat, hype, and promise of artificial intelligence in education. Discover Artificial Intelligence, 2(1), 22. https://doi.org/10.1007/s44163-022-00039-z
Jovanović, M., & Campbell, M. (2022). Generative artificial intelligence: Trends and prospects. Computer, 55(10), 107–112. https://doi.org/10.1109/MC.2022.3192720
Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the prospects of generative artificial intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Education Sciences, 13(9), 856. https://doi.org/10.3390/educsci13090856
Pavlik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), 84–93. https://doi.org/10.1177/10776958221149577
Perera, P., & Lankathilake, M. (2023). Preparing to revolutionize education with the multi-model GenAI tool Google Gemini? A journey towards effective policy making. Journal of Advances in Education and Philosophy, 7(8), 246–253. https://doi.org/10.36348/jaep.2023.v07i08.001
Pozo-Rico, T., Poveda, R., Gutiérrez-Fresneda, R., Castejón, J. L., & Gilar-Corbi, R. (2023). Revamping teacher training for challenging times: Teachers’ well-being, resilience, emotional intelligence, and innovative methodologies as key teaching competencies. Psychology Research and Behavior Management, 16, 1–18. https://doi.org/10.2147/PRBM.S382572
Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783
Rukiati, E., Wicaksono, J. A., Taufan, G. T., & Suharsono, D. D. (2023). AI in learning English: Application, benefits, and threats. Journal of Language, Communication, and Tourism, 1(2), 32–40. https://doi.org/10.25047/jlct.v1i2.3967
Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the power of AI in education. In Learning, teaching, and assessment methods for contemporary learners: Pedagogy for the digital generation (pp. 311–342). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-6734-4_13
Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313. https://doi.org/10.1126/science.adg7879
Vartiainen, H., & Tedre, M. (2023). Using artificial intelligence in craft education: crafting with text-to-image generative models. Digital Creativity, 34(1), 1–21. https://doi.org/10.1080/14626268.2023.2174557
Wach, K., Duong, C. D., Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., Paliszkiewicz, J., & Ziemba, E. (2023). The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT. Entrepreneurial Business and Economics Review, 11(2), 7–30. https://doi.org/10.15678/EBER.2023.110201
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