May the Force Be With You JedAI: Balancing the Light and Dark Sides of Generative AI in the Educational Landscape

Authors

DOI:

https://doi.org/10.24059/olj.v28i2.4563

Keywords:

Generative AI, artificial intelligence, educational technology, (EDTech), online teaching and learning

Abstract

Generative AI, much like the Force in Star Wars, wields significant power, capable of immense good or potential harm depending on its application. This editorial indicates the dual nature of generative AI within educational contexts, drawing parallels to the light and dark sides of the Force. Generative AI's proficiency in language manipulation positions it as a transformative tool in education, yet its influence must be managed wisely. The evolution of AI mirrors the advent of personal computers, suggesting a future where individuals may have personal AI assistants tailored to their needs. This speculative future poses critical questions about the balance of force between humans and AI. This editorial along with articles published in the special issue urge critical reflection on our current path and the decisions that will shape the future of AI in education.

Author Biography

Aras Bozkurt, Anadolu University

Aras Bozkurt is a researcher and faculty member in the Department of Distance Education, Open Education Faculty at Anadolu University, Turkey. He holds MA and PhD degrees in distance education. Dr. Bozkurt conducts empirical studies on distance education, open and distance learning, online learning,  networked learning, and educational technology to which he applies various critical theories, such as connectivism, rhizomatic learning, and heutagogy. He is also interested in emerging research paradigms, including social network analysis, sentiment analysis, and data mining. He shares his views on his Twitter feed @arasbozkurt

References

Almatrafi, O., Johri, A., & Lee, H. (2024). A Systematic Review of AI Literacy Conceptualization, Constructs, and Implementation and Assessment Efforts (2019-2023). Computers and Education Open, 6, 100173. https://doi.org/10.1016/j.caeo.2024.100173

Bozkurt, A., & Sharma, R. C. (2024). Are we facing an algorithmic renaissance or apocalypse? Generative AI, ChatBots, and emerging human-machine interaction in the educational landscape. Asian Journal of Distance Education, 19(1), i-xii. https://doi.org/10.5281/zenodo.10791959

Bozkurt, A., Xiao, J., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., Farrow, R., Bond, M., Nerantzi, C., Honeychurch, S., Bali, M., Dron, J., Mir, K., Stewart, B., Costello, E., Mason, J., Stracke, C. M., Romero-Hall, E., Koutropoulos, A., Toquero, C. M., Singh, L Tlili, A., Lee, K., Nichols, M., Ossiannilsson, E., Brown, M., Irvine, V., Raffaghelli, J. E., Santos-Hermosa, G Farrell, O., Adam, T., Thong, Y. L., Sani-Bozkurt, S., Sharma, R. C., Hrastinski, S., & Jandrić, P. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 53-130. https://doi.org/10.5281/zenodo.7636568

Bozkurt, A. (2020). Educational technology research patterns in the realm of the digital knowledge age. Journal of Interactive Media in Education, 2020(1), 1-17. https://doi.org/10.5334/jime.570

Bozkurt, A. (2023). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1), 198-204. https://doi.org/10.5281/zenodo.7716416

Bozkurt, A. (2024). Tell me your prompts and I will make them true: The alchemy of prompt engineering and generative AI. Open Praxis, 16(2), 111–118. https://doi.org/10.55982/openpraxis.16.2.661

Harari, Y. N. (2023). Yuval Noah Harari argues that AI has hacked the operating system of human civilisation. The Economist. https://www.economist.com/by-invitation/2023/04/28/yuval-noah-harari-argues-that-ai-has-hacked-the-operating-system-of-human-civilisation

Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. https://doi.org/10.1016/j.caeai.2022.100101

Liu, V., & Chilton, L. B. (2022, April). Design guidelines for prompt engineering text-to-image generative models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-23). New Orleans, LA, USA. https://doi.org/10.1145/3491102.3501825

McLuhan, M. (1962). The Gutenberg Galaxy: the making of typographic man. University of Toronto Press.

McLuhan, M. (1964). Understanding media: The extensions of man. McGraw-Hill.

Mishra, P., Koehler, M. J., & Kereluik, K. (2009). The song remains the same: Looking back to the future of educational technology. TechTrends, 53(5), 48-53. https://doi.org/10.1007/s11528-009-0325-3

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

Pedwell, C. (2024). Speculative machines and us: more-than-human intuition and the algorithmic condition. Cultural Studies, 38(2), 188-218. https://doi.org/10.1080/09502386.2022.2142805

Peters, M. A., & Green, B. J. (2024). Wisdom in the Age of AI Education. Postdigital Science and Education, 1-23. https://doi.org/10.1007/s42438-024-00460-w

Rushby, N. (2013). The future of learning technology: some tentative predictions. Educational Technology & Society, 16, 2, 52–58.

Uttamchandani, S., Bae, H., Feng, C., Glazewski, K., Hmelo-Silver, C. E., Brush, T., Mott, B., & Lester, J. (2022). Teacher Orchestration Systems Supported by AI: Theoretical Possibilities and Practical Considerations. In: Fan Ouyang, Pengcheng Jiao, Bruce M. McLaren, Amir H. Alavi (Eds.), Artificial Intelligence in STEM Education (pp. 151-162). CRC Press. https://doi.org/10.1201/9781003181187-13

Vrabič Dežman, D. (2024). Promising the future, encoding the past: AI hype and public media imagery. AI and Ethics, 1-14. https://doi.org/10.1007/s43681-024-00474-x

White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J., & Schmidt, D. C. (2023). A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. arXiv. https://doi.org/10.48550/arXiv.2302.11382

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Published

2024-06-01 — Updated on 2024-06-03

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How to Cite

Bozkurt, A., & Bae, H. (2024). May the Force Be With You JedAI: Balancing the Light and Dark Sides of Generative AI in the Educational Landscape. Online Learning, 28(2). https://doi.org/10.24059/olj.v28i2.4563 (Original work published June 1, 2024)

Issue

Vol. 28 No. 2 (2024): Online Learning

Section

Online and Blended Learning in the Age of Generative AI

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Copyright (c) 2024 Aras Bozkurt, Haesol Bae

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