ÖĞRETMEN ADAYLARININ YAPAY ZEKÂ TEMELLİ METİN OLUŞTURUCU HAKKINDAKİ GÖRÜŞLERİ

Öz

Chatbotlar, insan-bilgisayar etkileşimi alanında son yıllarda önemli bir gelişme olarak öne çıkmaktadır. Doğal dil işleme ve makine öğrenimi teknolojileri kullanılarak tasarlanan bu yapay zekâ tabanlı programlar, kullanıcıların sorularını ve isteklerini anlayarak anında yanıt verebilmektedirler. Eğitimden müşteri hizmetlerine, sağlık hizmetlerinden satış ve pazarlamaya kadar çeşitli alanlarda kullanılan Chatbotlar; öğrenim yönetimi, kişiselleştirilmiş öğrenme, öğrenme desteği gibi eğitimde önemli olanaklar sunmaktadır. Ancak, bu teknolojinin kullanımında bazı sınırlılıklar da mevcuttur. Örneğin, gerçek insanlar gibi etkileşim kuramamaları, yanlış bilgi sunma riski, etik sorunlar ve kişiselleştirilmiş öğrenme deneyimi sunma konusunda yetersizlikler gibi. Bu nedenle, Chatbotların eğitimde etkili bir şekilde kullanılabilmesi için daha fazla araştırma ve geliştirme çalışması gerekmektedir. Bu araştırma kapsamında, öğretmen adaylarının Chatbotların eğitimde kullanımına yönelik görüşleri incelenmiştir. Bu doğrultuda 2022-2023 güz döneminde bir devlet üniversitesinde gerçekleştirilen araştırmanın katılımcı grubunu Öğretim Teknolojileri dersine katılan İngiliz Dili Eğitimi Anabilim Dalı’nda ve Matematik Eğitimi Anabilim Dalı’nda öğrenim gören 41 öğretmen adayı oluşturmaktadır. Araştırmada iki bölümden oluşan bir veri toplama aracı ile veriler toplanmıştır. Katılımcılar, Chatbotların zamandan tasarruf sağlama ve farklı bilgi sunma gibi avantajlarını görmüşlerdir. Ancak, beklenmeyen kaynaklardan yararlanma gibi olumsuzluklar da vurgulanmıştır. Genel olarak, öğretmen adaylarının çoğu Chatbotları dil ve içerik açısından başarılı bulmuşlardır. Öğretmen adayları, Chatbotların gelecekte eğitimde yaygın olarak kullanılacağını ve öğrencilerini bu teknolojiye yönlendireceklerini belirtmişlerdir. Sonuç olarak, Chatbotların eğitimde etkili bir şekilde kullanılabilmesi için öğrenci ihtiyaçlarına uygun olarak tasarlanmaları, doğru ve güncel bilgiler sunmaları, kişiselleştirilmiş öğrenme deneyimleri sunmaları ve eğitim uzmanları tarafından desteklenmeleri gerekmektedir. Bu şekilde, Chatbotlar eğitimde daha etkili bir araç haline gelebilirler.

Anahtar Kelimeler

• yapay zekâ
• içerik üretme
• chatgpt
• eğitimde yapay zekâ

PRE-SERVICE TEACHERS' VIEWS ON AN ARTIFICIAL INTELLIGENCE BASED TEXT GENERATOR

Abstract

Chatbots have emerged as an important development in the field of human-computer interaction in recent years. Designed using natural language processing and machine learning technologies, these artificial intelligence-based programs can understand users' questions and requests and respond instantly. Chatbots, which are used in various fields ranging from education to customer service and healthcare to sales and marketing, offer important opportunities in education such as learning management, personalized learning, learning support. However, there are a number of limitations in the use of this technology. For example, an inability to interact as real people would, the risk of providing false information, ethical issues, and an inability to provide a personalized learning experience. Therefore, more research and development studies are needed for the effective use of chatbots in education. Within the scope of this study, pre-service teachers' views on the use of chatbots in education were examined. In this direction, the participant group of the research, which was conducted at a state university in the fall semester of 2022-2023, consisted of 41 pre-service teachers studying in the Department of English Language Teaching and the Mathematics Education who attended the Instructional Technologies course. In the study, data were collected with a data collection tool consisting of two parts. The participants saw the advantages of chatbots, such as timesaving and providing different information. However, negativities such as utilizing unexpected sources were also emphasized. In general, most of the pre-service teachers found chatbots successful in terms of language and content. The pre-service teachers stated that chatbots will be widely used in education in the future and that they will direct their students to this technology. In conclusion, for chatbots to be used effectively in education, they need to be designed in accordance with student needs, provide accurate and up-to-date information, offer personalized learning experiences, and be supported by educational experts. In this way, chatbots can become a more effective tool in education.

Keywords

• artificial intelligence
• content generation
• chatgpt
• artificial intelligence in education

Kaynakça

1. Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152.
2. Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted. Exploring the future of artificial intelligence in schools and colleges. Retrieved from nesta. org. uk website: https://media. nesta. org. uk/documents/Future_of_AI_and_education_v5_WEB. pdf.
3. Baltacı, A. (2017). Nitel veri analizinde Miles-Huberman modeli. Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 3(1), 1-14.
4. Caldarini, G., Jaf, S., & McGarry, K. (2022). A literature survey of recent advances in chatbots. Information, 13(1), 41. https:// doi.org/10.3390/info13010041
5. Chocarro, R., Cortinas, M., & Marcos-Matás, G. (2023). Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics. Educational Studies, 49(2), 295-313. https://doi.org/10.1080/03055698.2020.1850426
6. Denscombe, M. (2014). The good research guide (4th edition). Maidenhead, UK: Open University Press.
7. Dodigovic, M. (2007). Artificial intelligence in education. In Handbook of educational technology (pp. 1-26). Routledge. doi: 10.1016chb.2017.05.045
8. Fidan, S., & Gencel, A. (2022). The impact of ai-based chatbots on teacher candidates' motivation and learning. In ICERI2022 Proceedings (pp. 475-480). Association for the Advancement of Computing in Education.

9. Ford, M. (2013). Could artificial intelligence create an unemployment crisis?. Communications of the ACM, 56(7), 37-39. https://doi.org/10.1145/2483852.2483865
10. Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z. (2017). Stimulating and sustaining interest in a language course: An experimental comparison of Chatbot and Human task partners. Computers in Human Behavior, 75, 461-468. doi: 10.1016/j.chb.2017.05.045
11. Georgieff, A., & Hyee, R. (2022). Artificial intelligence and employment: new cross-country evidence. Frontiers in artificial intelligence, 5, 832736. https://doi.org/10.3389/frai.2022.832736
12. Grudin, J., & Jacques, R. (2019, May). Chatbots, humbots, and the quest for artificial general intelligence. In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-11).
13. Hojeij, Z., Kuhail, M. A., & ElSayary, A. (2024). Investigating in-service teachers’ views on ChatGPT integration. Interactive Technology and Smart Education. https://doi.org/10.1108/ITSE-04-2024-0094
14. Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning—Are they really useful? A systematic review of chatbot‐supported language learning. Journal of Computer Assisted Learning, 38(1), 237-257. https://doi.org/10.1111/jcal.12610
15. Janssen, A., Grützner, L., Breitner, M.H. (2021). Why do chatbots fail? A critical success factors analysis. In Proceedings of the 42nd International Conference on Information Systems, ICIS 2021, Austin, TX, USA, 12–15 December 2021.
16. Kalla, D., Smith, N., Samaah, F., & Kuraku, S. (2023). Study and analysis of chat GPT and its impact on different fields of study. International Journal of Innovative Science and Research Technology, 8(3), 827-833. https://ssrn.com/abstract=4402499
17. Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024). AI literacy and its implications for prompt engineering strategies. Computers and Education: Artificial Intelligence, 100225. https://doi.org/10.1016/j.caeai.2024.100225
18. Korinek, A., & Stiglitz, J. E. (2008, January). Political economy in a contestable democracy: The case of dividend taxation. In 2008 Meeting Papers. Society for Economic Dynamics.
19. Kuhail, M.A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28, 973–1018. https://doi.org/10.1007/s10639-022-11177-3
20. Lee, J. H., Park, T., & Kim, M. (2022). Exploring the impact of ai-powered chatbots on learner engagement and learning outcomes in a Korean EFL MOOC. In Proceedings of the 14th International Conference on eLearning and Education (pp. 28-34). ACM.
21. 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
22. Mariappan, J., & Krishnan, C. (2022). Integration of AI in learning: A paradigm shift in education. In Technology Training for Educators From Past to Present (pp. 263-275). IGI Global.
23. Markos, A., Prentzas, J., & Sidiropoulou, M. (2024) Pre-Service teachers’ assessment of ChatGPT’s utility in higher education: SWOT and content analysis. Electronics, 13(10), 1985. https://doi.org/10.3390/electronics13101985
24. Mhlanga, D. (2023). Open AI in Education, the Responsible and Ethical Use of ChatGPT Towards Lifelong Learning. Available at SSRN: https://ssrn.com/abstract=4354422 or http://dx.doi.org/10.2139/ssrn.4354422
25. Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. London: Sage.
26. Moore, M. G. (2018). The theory of transactional distance. In Handbook of distance education (pp. 32-46). Routledge.
27. Mutascu, M. (2021). Artificial intelligence and unemployment: New insights. Economic Analysis and Policy, 69, 653-667. https://doi.org/10.1016/j.eap.2021.01.012
28. Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033
29. Okulu, H. Z., & Muslu, N. (2024). Designing a course for pre-service science teachers using ChatGPT: What ChatGPT brings to the table. Interactive Learning Environments, 1–18. https://doi.org/10.1080/10494820.2024.2322462
30. OpenAI. (2024a). Introducing ChatGPT. Retrieved from https://openai.com/blog/chatgpt/ 10 March 2024.
31. OpenAI (2024b). Hello GPT-4.o. Retrieved from https://openai.com/index/hello-gpt-4o/ 27 September 2024.
32. Pérez, J. Q., Daradoumis, T., & Puig, J. M. M. (2020). Rediscovering the use of chatbots in education: A systematic literature review. Computer Applications in Engineering Education, 28(6), 1549-1565. https://doi.org/10.1002/cae.22326
33. Pişkin Tunç, M. (2024). Examining Pre-service Mathematics Teachers’ Purposes of Using ChatGPT in Lesson Plan Development. Sakarya University Journal of Education, 14(2), 391-406. https://doi.org/10.19126/suje.1476326
34. Rapp, A., Curti, L., & Boldi, A. (2021). The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots. International Journal of Human-Computer Studies, 151, 102630. https://doi.org/10.1016/j.ijhcs.2021.102630
35. Ruthven, I., & Lalmas, M. (2003). A survey on the use of relevance feedback for information access systems. The Knowledge Engineering Review, 18(2), 95-145. https://doi.org/10.1017/S0269888903000638
36. 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(15). https://doi.org/10.1186/s40561-023-00237-x
37. 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, 654924. https://doi.org/10.3389/frai.2021.654924
38. Wu, R., & Yu, Z. (2024). Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis. British Journal of Educational Technology, 55, 10–33. https://doi.org/10.1111/bjet.13334
39. Yin, R.K. (2009). Case study research: Design and methods (4th edition). Thousand Oaks, CA: Sage.
40. Zawacki-Richter, O., Marín, V.I., Bond, M. et al. Systematic review of research on artificial intelligence applications in higher education – where are the educators?. Int J Educ Technol High Educ, 16(39). https://doi.org/10.1186/s41239-019-0171-0