ChatGPT, Generative Artificial Intelligence and Algorithmic Paradigm Shift

Year 2023, Volume: 4 Issue: 1, 63 - 72, 31.05.2023

Aras Bozkurt

https://doi.org/10.59320/alanyazin.1283282

Cited By: 10

Abstract

Generative AI represents a significant technological advancement with far-reaching implications for many areas of our lives, including education. This paper examines the implications and potential role of generative AI in the field of education. The study discusses the historical development of AI technologies and explains their current definitions. According to the publications analysed within the scope of this study, it is claimed that the use of language, one of the most sophisticated technologies of humanity, by generative artificial intelligence is an important turning point, and it is also argued that this situation requires the resdesigning and redefinition of educational processes. The study emphasises that skills such as AI literacy and prompt engineering are necessary to be better prepared for the future and explains the opportunities and threats that arise with generative AI. This study emphasises the importance of being prepared for a future dominated by artificial intelligence, as generative AI technologies have the potential to profoundly affect teaching and learning methods and require new ways of thinking.

Keywords

generative artificial intelligence, ChatGPT, Chatbots, natural language processing, education, learning and teaching, prompt engineering

ChatGPT, Üretken Yapay Zeka ve Algoritmik Paradigma Değişikliği

Abstract

Üretken yapay zeka, eğitim de dahil olmak üzere hayatımızın birçok alanı için kapsamlı etkileri olan önemli bir teknolojik ilerlemeyi temsil etmektedir. Bu makale, üretken yapay zekanın eğitim alanındaki yansımalarını ve potansiyel rolünü incelemektedir. Çalışma, yapay zeka teknolojilerinin tarihsel gelişimini tartışmakta ve güncel tanımlarını açıklamaktadır. Bu çalışma kapsamında incelenen yayınlara göre insanlığın en sofistike teknolojilerinden biri olan dilin üretken yapay zeka tarafından kullanılmasının önemli bir dönüm noktası olduğu iddia edilirken, bu durumun eğitsel süreçlerin yeniden yapılandırılmasını ve tanımlanmasını gerektirdiği de savunulmaktadır. Çalışmada yapay zeka okuryazarlığı ve komut mühendisliği gibi becerilerin geleceğe daha iyi hazır olabilmek adına gerekli olduğu vurgusu yapılmakta ve üretken yapay zeka ile ortaya çıkan fırsatlar ve tehditler açıklanmaktadır. Bu çalışma üretken yapay zeka teknolojilerinin öğretme ve öğrenme yöntemlerini derinden etkileme potansiyeline sahip olması ve yeni düşünme biçimleri gerektirmesi nedeniyle, yapay zekanın hakim olduğu bir geleceğe hazırlıklı olmanın önemine vurgu yapmaktadır.

Keywords

üretken yapay zeka, ChatGPT, sohbet botları, doğal dil işleme, eğitim, öğrenme ve öğretme, komut mühendisliği

References

• Asimov, I. (1942). Runaround. Astounding Science Fiction, March.
• Asimov, I. (1950). I, Robot. Gnome Press.
• Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. Independently Published.
• Baum, L. F. (1900). The Wonderful Wizard of Oz. George M. Hill Company.
• 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. (2023a). Postdigital artificial intelligence. In P. Jandrić (Ed.), Encyclopaedia of postdigital science and education. Springer.
• Bozkurt, A. (2023b). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1). https://doi.org/10.5281/zenodo.7716416
• Bozkurt, A., & Sharma, R. C. (2023). Challenging the status quo and exploring the new boundaries in the age of algorithms: Reimagining the role of generative AI in distance education and online learning. Asian Journal of Distance Education, 18(21), i-viii. https://doi.org/10.5281/zenodo.7755273
• 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
• Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023). A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. arXiv preprint.. https://doi.org/10.48550/arXiv.2303.04226
• Čapek, K. (1921). Rossum’s Universal Robots. Project Gutenberg. https://gutenberg.org/ebooks/59112
• Cave, S., & Dihal, K. (2018). Ancient dreams of intelligent machines: 3,000 years of robots. Nature, 559(7715), 473-475. https://doi.org/10.1038/d41586-018-05773-y
• Cellan-Jones, R. (2014). Stephen Hawking warns artificial intelligence could end mankind. BBC News. https://www.bbc.com/news/technology-30290540
• Chomsky, N., Roberts, I., & Watumull, J. (2023). The false promise of ChatGPT. New York Times. https://www.nytimes.com/2023/03/08/opinion/noam-chomsky-chatgpt-ai.html
• Clark, W., Golinski, J., & Schaffer, S. (Eds.). (1999). The sciences in enlightened Europe. University of Chicago Press.
• Crawford, J., Cowling, M., & Allen, K. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching & Learning Practice, 20(3). https://doi.org/10.53761/1.20.3.02
• Descartes, R. (1637). Discourse on the Method of Rightly Conducting One's Reason and of Seeking Truth in the Sciences.
• Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
• Floridi, L. (2023). AI as Agency without Intelligence: On ChatGPT, large language models, and other generative models. Philosophy & Technology, 36(1), 1-7. https://doi.org/10.1007/s13347-023-00621-y
• FOL Open Letters. (2023). Pause giant AI experiments: An open letter. Future of Life Institution. https://futureoflife.org/open-letter/pause-giant-ai-experiments/
• Gates, B. (2023). The Age of AI has begun. Gates Notes. https://www.gatesnotes.com/The-Age-of-AI-Has-Begun
• Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(4), 100089. https://doi.org/10.1016/j.tbench.2023.100089
• 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
• Holmes, W., Persson, J., Chounta, I.-A., Wasson, B., & Dimitrova, V. (2022). Artificial intelligence and Education. A critical view through the lens of human rights, democracy, and the rule of law. Council of Europe. https://rm.coe.int/artificial-intelligence-and-education-a-critical-view-through-the-lens/1680a886bd.
• Johinke, R., Cummings, R., & Di Lauro, F. (2023). Reclaiming the technology of higher education for teaching digital writing in a post—pandemic world. Journal of University Teaching & Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.01
• 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., … 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
• Kır, Ş., & Şenocak, D. (2022). Açık ve Uzaktan Öğrenme Sistemlerinde Yapay Zekânın Öğrenen Destek Hizmeti Bağlamında Kullanımı. Dijital Teknolojiler ve Eğitim Dergisi, 1(1), 36-56.
• 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, 100101. https://doi.org/10.1016/j.caeai.2022.100101
• Lee, E. (2023). Is ChatGPT a false promise?. Berkeley Blog. https://blogs.berkeley.edu/2023/03/19/is-chatgpt-a-false-promise/
• Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2), 100790. https://doi.org/10.1016/j.ijme.2023.100790
• 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
• Maslej, N., Fattorini, L., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Ngo, H., Niebles, J. C., Parli, V., Shoham, Y., Wald, R., Clark, J., & Perrault, R. (2023). The AI Index 2023 Annual Report. Institute for Human-Centered AI, Stanford University. https://aiindex.stanford.edu/report/
• McCarthy, J., Minsky, M., Rochester, N., & Shannon, C. (1955). A proposal for Dartmouth Summer Research Project on artificial Intelligence. http://www-formal.stanford.edu/jmc/history/dartmouth.pdf. Accessed 13 January 2023.
• McLuhan, M. (1962). The Gutenberg Galaxy: the making of typographic man. Toronto: University of Toronto Press.
• McLuhan, M. (1964). Understanding Media: The Extensions of Man. McGraw-Hill.
• Megahed, F. M., Chen, Y. J., Ferris, J. A., Knoth, S., & Jones-Farmer, L. A. (2023). How Generative AI models such as ChatGPT can be (Mis) Used in SPC Practice, Education, and Research? An Exploratory Study. arXiv preprint. https://doi.org/10.48550/arXiv.2302.10916
• Moor, J. (2006). The Dartmouth College Artificial Intelligence Conference: The Next Fifty Years. AI Magazine, 27(4), 87. https://doi.org/10.1609/aimag.v27i4.1911.
• Neumann, M., Rauschenberger, M., & Schön, E. M. (2023). “We Need To Talk About ChatGPT”: The Future of AI and Higher Education. Hochschule Hannover. 9http://dx.doi.org/10.25968/opus-2467
• 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
• OpenAI. (2022). ChatGPT: Optimizing language models for dialogue. https://openai.com/blog/chatgpt/ Pelletier, K., Brown, M., Brooks, D. C., McCormack, M., Reeves, J., Arbino, N., Bozkurt, A., Crawford, S., Czerniewicz, L., Gibson, R., Linder, K., Mason, J., & Mondelli, V. (2021). 2021 EDUCAUSE horizon report teaching and learning edition. EDUCAUSE. https://www.learntechlib.org/p/219489/
• Russell, S., & Norvig, P. (2021). Artificial intelligence: a modern approach (3rd Ed). Prentice Hall. Shelley, M. (1818). Frankenstein. Colburn and Bentley.
• Şenocak, D. (2020). Açık ve uzaktan öğrenme ortamlarında yapay zekâ: Sunduğu fırsatlar ve yarattığı endişeler. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(3), 56-78.
• Teubner, T., Flath, C. M., Weinhardt, C., van der Aalst, W., & Hinz, O. (2023). Welcome to the Era of ChatGPT et al: The Prospects of Large Language Models. Business & Information Systems Engineering, 65(2), 95-101. https://doi.org/10.1007/s12599-023-00795-x
• Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 1-24. https://doi.org/10.1186/s40561-023-00237-x
• Turing, A. (1950). Computing machinery and intelligence. Mind: A Quarterly Review of Psychology and Philosophy, 236, 433-460. https://doi.org/10.1093/mind/lix.236.433.
• UNICEF. (2021). Policy guidance on AI for children. Paris: UNICEF. https://www.unicef.org/globalinsight/reports/policy-guidance-ai-children.
• Weik, M. H. (1961). The ENIAC story. Ordnance, 45(244), 571-575. https://www.jstor.org/stable/45363261 White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., ... & Schmidt, D. C. (2023). A prompt pattern catalog to enhance prompt engineering with chatgpt. arXiv. https://doi.org/10.48550/arXiv.2302.11382
• Zhou, K., Yang, J., Loy, C. C., & Liu, Z. (2022). Learning to prompt for vision-language models. International Journal of Computer Vision, 130(9), 2337-2348. https://doi.org/10.1109/cvpr52688.2022.01631