Perceptions of Teacher Candidates on Artificial Intelligence in Education- A Metaphorical Analysis

Year 2024, Volume: 6 Issue: 2, 589 - 605

Rahime Filiz Ağmaz , Funda Ergulec

Abstract

Artificial intelligence, which is used in many fields with the development of technology, is also used in the innovative and current structuring of education. Students, parents, administrators, teachers, and pre-service teachers have become a part of this new changing structure. At this point, it is important to understand the views of pre-service teachers about artificial intelligence use in education, which will appear in different forms in the future. The main purpose of this study is to explain pre-service teachers' views on the use of artificial intelligence in education through metaphors. In this context, pre-service teachers' experiences regarding the use of artificial intelligence in education were examined through metaphor analysis within the scope of a qualitative phenomenology study. The participants of the study consist of 109 first-year pre-service teachers studying in the Department of Preschool Education at two different universities. Pre-service teachers were asked to complete the following sentence, "Artificial intelligence in education is like... because..." Within the scope of the study, pre-service teachers were divided into two groups according to whether they had previously used an artificial intelligence tool. Pre-service teachers who had previously used artificial intelligence tools generated 26 different metaphors, while those who had not previously used artificial intelligence tools produced 38 different metaphors, resulting in a total of 64 different metaphors. Pre-service teachers’ responses were coded and categorized into themes. These categories included intelligent teachers and representatives, personalized learning systems, chatbots, ethical concerns, and potential risks. Themes were developed by grouping related categories together and associating them with topic headings obtained from the literature review. In both groups, themes emerged in the form of positive metaphors and negative metaphors. The study concluded that the prior use of artificial intelligence tools had different effects on the experiences of pre-service teachers. It was found that the metaphors of pre-service teachers who had previously used artificial intelligence tools were more positive and less anxious, while the metaphors of those who had not previously used artificial intelligence tools were more negative and anxious.

Keywords

Artificial intelligence in education, Metaphor, Pre-school teacher candidates

Öğretmen Adaylarının Eğitimde Yapay Zeka Algıları: Bir Metafor Analizi

Abstract

Teknolojinin gelişmesiyle birlikte birçok alanda kullanılan yapay zekadan eğitimin yenilikçi ve güncel yapılanmasında da faydalanılmaktadır. Gelinen noktada öğrenciler, ebeveynler, öğretmen adayları ve öğretmenler bu yapılanmanın bir parçası haline gelmiştir. Gelecekte de farklı şekillerde karşımıza çıkacak yapay zeka uygulamalarına öğretmen adaylarının nasıl baktıklarını belirlemek önem arz etmektedir. Bu çalışmanın temel amacı öğretmen adaylarının eğitimde yapay zeka kullanımına ilişkin görüşlerini metaforlar aracılığıyla açıklamaktır. Bu bağlamda bu çalışmada öğretmen adaylarının eğitimde yapay zeka kullanımına ilişkin deneyimleri nitel olgubilim (fenomenoloji) çalışması kapsamında metafor analiziyle incelenmiştir. Çalışmanın katılımcıları farklı üniversitelerde Okul Öncesi Eğitimi Anabilim Dalında öğrenim görmekte olan 109 birinci sınıf öğretmen adayı oluşmaktadır. Öğretmen adaylarından “Eğitimde yapay zeka…. gibidir, çünkü…” cümlesini tamamlamaları istenmiştir. Çalışma kapsamında öğretmen adayları daha önceden bir yapay zeka aracı kullanma durumlarına göre iki gruba ayrılmıştır. Daha önceden yapay zeka aracı kullanan öğretmen adayları tarafından 26 farklı metafor, daha önceden yapay zeka aracı kullanmayan öğretmen adayları tarafından 38 farklı metafor olmak üzere 64 farklı metafor üretilmiştir. Öğretmen adaylarının verdikleri cevaplara ilişkin metaforlar kodlanmış ve kategorilere ayrılmıştır. Bu kategoriler akıllı öğretmenler ve temsilciler, kişiselleştirilmiş öğrenme sistemleri, sohbet robotları, etik kaygılar ve potansiyel riskler şeklindedir. İlişkili kategoriler bir araya getirilerek ve yapılan literatür taramasında elde edilen konu başlıklarıyla ilişkilendirilerek temalar oluşturulmuştur. Her iki grupta da olumlu metaforlar ve olumsuz metaforlar şeklinde temalar ortaya çıkmıştır. Çalışma sonucunda daha önceden yapay zeka aracı kullanma durumlarının öğretmen adaylarının deneyimleri üzerinde farklı etkilerinin olduğu belirlenmiştir. Daha önceden yapay zeka aracı kullanan öğretmen adaylarının metaforlarının daha olumlu ve kaygıdan uzak olduğu, daha önceden yapay zeka aracı kullanmayan öğretmen adaylarının metaforlarının daha olumsuz ve kaygılı olduğu belirlenmiştir.

Keywords

Eğitimde yapay zeka, Metafor, Okul öncesi öğretmen adayları.

References

• AlFarsi, G., Tawafak, R. M., ElDow, A., Malik, S. I., Jabbar, J., & Al Sideiri, A. (2021). Smart classroom technology in artificial intelligence: A review paper. In International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies (pp. 229-235). https://doi.org/10.5220/0010306502290235
• Ahmad, S. F., Rahmat, M. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I. (2021). Artificial intelligence and its role in education. Sustainability, 13(22), 12902. https://doi.org/10.3390/su132212902
• Asthana, P., & Hazela, B. (2019). Applications of machine learning in improving learning environment. Intelligent Systems Reference Library, 417–433. https://doi.org/10.1007/978-981-13-8759-3_16
• August, S. E., & Tsaima, A. (2021). Artificial Intelligence and machine learning: An instructor’s exoskeleton in the future of Education. Innovative Learning Environments in STEM Higher Education, 79–105. https://doi.org/10.1007/978-3-030-58948-6_5
• Bajaj, R., & Sharma, V. (2018). Smart education with artificial intelligence based determination of learning styles. Procedia Computer Science, 132, 834–842. https://doi.org/10.1016/j.procs.2018.05.095
• Balbaa, M. E., & Abdurashidova, M. S. (2024). The impact of artificial Inteligence in decision making. A Comprehensive review. EPRA International Journal of Economics, Business and Management Studies (EBMS), 11(2), 27-38. https://doi.org/10.36713/epra15747
• Creswell, J.W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. 4th Edition, SAGE Publications.
• Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228-239.https://doi.org/10.1080/14703297.2023.2190148
• Díaz-Guio, D. A., Henao, J., Pantoja, A., Arango, M. A., Díaz-Gómez, A. S., & Gómez, A. C. (2024). Artificial intelligence, applications and challenges in simulation-based education. Colombian Journal of Anestesiology, 52(1), 1-6. https://doi.org/10.5554/22562087.e1085
• Faustino, A., & Kaur, I. (2022, October 21). Artificial Intelligence and machine learning: Future of education. AIP Publishing. https://doi.org/10.1063/5.0109332
• Fjelland, R. (2020). Why general artificial intelligence will not be realized. Humanities and Social Sciences Communications, 7(1), 1-9. https://doi.org/10.1057/s41599-020-0494-4
• Galindo-Domínguez, H., Delgado, N., Losada, D., & Etxabe, J.-M. (2023). An analysis of the use of artificial intelligence in education in Spain: The In-Service teacher’s perspective. Journal of Digital Learning in Teacher Education, 40(1), 41–56. https://doi.org/10.1080/21532974.2023.2284726
• Genç, M. A., Danış, S., & Hamarta, H. K. Ö. (2023). Görsel Sanatlar Alanında Özel Yetenekli Bireylerin Eğitiminde Yapay Zekânın Kullanımı. Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi, 5(Özel Sayı), 497-519. https://doi.org/10.51119/ereegf.2023.53
• Güneş, A., & Fırat, M. (2016). Açık ve uzaktan öğrenmede metafor analizi araştırmaları. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 2(3), 115-129. https://dergipark.org.tr/en/pub/auad/issue/34059/377003
• Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California management review, 61(4), 5-14.
• Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2), 1-11. https://doi.org/10.30935/cedtech/13036
• Hays, L., Jurkowski, O., & Sims, S. K. (2024). ChatGPT in K-12 Education. TechTrends, 68(2), 281-294. https://doi.org/10.1007/s11528-023-00924-z
• Hill-Yardin, E. L., Hutchinson, M. R., Laycock, R., & Spencer, S. J. (2023). A Chat(GPT) about the future of Scientific Publishing. Brain, Behavior, and Immunity, 110, 152–154. https://doi.org/10.1016/j.bbi.2023.02.022
• Hwang, G.-J. (2014). Definition, framework and research issues of Smart Learning Environments - a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(1). https://doi.org/10.1186/s40561-014-0004-5
• Indran, I. R., Paranthaman, P., Gupta, N., & Mustafa, N. (2024). Twelve tips to leverage AI for efficient and effective medical question generation: A guide for educators using ChatGPT. Medical Teacher, 46(3), 1-6. https://doi.org/10.1080/0142159X.2023.2294703
• Jaiswal, R. K., Sharma, S. S. & Kaushik, R. (2023). Ethics in AI and machine learning. Journal of Nonlinear Analysis and Optimization, 14(1). 8-12. https://doi.org/10.36893/jnao.2023.v14i1.0008-0012
• Kuhail, M. A., Alturki, N., Alramlawi, S., Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technology, 28, 973–1018. https://doi.org/10.1007/ s10639-022-11177-3
• Kumar, M., Sharma, A., & Saini, S. (2020). Artificial General Intelligence (AGI): The quest for machines that can think like humans. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(1), 1119-1122. https://doi.org/10.61841/turcomat.v11i1.14411
• Levitt, H., Korman, Y., & Angus, L. (2010). A metaphor analysis in treatments of depression: Metaphor as a marker of change. Counselling Psychology Quarterly, 13(1), 23-35.https://doi.org/10.1080/09515070050011042
• Lima, L. A.O., Lima, R.A., Matos, J. S. G., Leite, F. L., Júnior, D. D. D. N., Saraiva, A. C. G. T., ... & Silva, L. S. (2024). Education 4.0 and the application of Artificial Intelligence (AI) in teaching. Seven Editora, 44(1), 634-642. https://doi.org/10.56238/sevened2024.002-044
• Mao, J., Chen, B., & Liu, J. C. (2024). Generative Artificial Intelligence in education and ıts ımplications for assessment. TechTrends, 68(1), 58-66. https://doi.org/10.1007/s11528-023-00911-4
• Munir, H., Vogel, B., & Jacobsson, A. (2022). Artificial intelligence and machine learning approaches in digital education: A systematic revision. Information, 13(4), 203. https://doi.org/10.3390/info13040203
• Obschonka, M., & Audretsch, D. B. (2019). Artificial Intelligence and big data in entrepreneurship: A new era has begun. Small Business Economics, 55(3), 529–539. https://doi.org/10.1007/s11187-019-00202-4
• Pandey, A, Kumar, A., & Sinha, S. (2024). Human cognition in AI: Overview on rise of artificial general intelligence. International Journal for Research in Applied Science and Engineering Technology, 12(4), 1610–1619. https://doi.org/10.22214/ijraset.2024.60171
• Patel, N. (2023). Microsoft thinks AI can beat Google at search - CEO Satya Nadella explains why. The Verge. https://www.theverge.com/23589994/microsoft-ceo-satya-nadella-bing-chatgpt-google-search-ai
• Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Sage publications.
• Pavlik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artifcial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), 84–93. https://doi.org/10.1177/10776958221149577
• Perkins, M. (2023). Academic integrity considerations of AI large language models in the post-pandemic era: Chatgpt and beyond. Journal of University Teaching and Learning Practice, 20(2), 1-24. https://doi.org/10.53761/1.20.02.07
• Pichai, S. (2023). An important next step on our AI journey. Google. https://blog.google/technology/ai/bard-google-ai-search-updates/
• Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and practice in technology enhanced learning, 12(1), 22. https://doi.org/10.1186/s41039-017-0062-8
• Radman, Z. (1997). Metaphors: Figures of the mind. Kluwer Academic Publishers
• Rajest, S. S., Regin, R., Ajitha, Y., Paramasivan, P., Christabel, G. J. A., & Shynu, T. (2023). The analysis of how Artificial Intelligence has an effect on teachers and the education system. EAI Endorsed Transactions on e-Learning, 9(1). 1-10. https://doi.org/10.4108/eetel.3494
• Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003
• Sopera, S. K., Alaban, J. S. Briones, Z., & Magnaye, N. A. (2023). Artificial Intelligence (AI) on learning process. International Journal of Integrative Research, 1(9), 557–570. https://doi.org/10.59890/ijir.v1i9.244
• Stahl, B. C., & Eke, D. (2024). The ethics of ChatGPT–Exploring the ethical issues of an emerging technology. International Journal of Information Management, 74, 102700. https://doi.org/10.1016/j.ijinfomgt.2023.102700
• Sun, F., & Ye, R. (2023). Moral considerations of artificial intelligence. Science & Education, 32(1), 1–17. https://doi.org/10.1007/s11191-021-00282-3
• Tang, K. H. D. (2024). Implications of Artificial Intelligence for Teaching and Learning. Acta Pedagogia Asiana, 3(2), 65-79. https://doi.org/10.53623/apga.v3i2.404
• Tekin, N. (2023). Eğitimde yapay zekâ: Türkiye kaynaklı araştırmaların eğilimleri üzerine bir içerik analizi. Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi, 5(Özel Sayı), 387-411. https://doi.org/10.51119/ereegf.2023.49
• 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
• Tosunoğlu, E., Yılmaz, R., Özeren, E., & Sağlam, Z. (2021). Eğitimde makine öğrenmesi: Araştırmalardaki güncel eğilimler üzerine inceleme. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, 3(2), 178-199. https://doi.org/10.38151/akef.2021.16
• Trust, T., Whalen, J., & Mouza, C. (2023). ChatGPT: Challenges, opportunities, and implications for teacher education. Contemporary Issues in Technology and Teacher Education, 23(1), 1-23. https://www.learntechlib.org/primary/p/222408/
• Wardat, Y., Tashtoush, M., AlAli, R., & Saleh, S. (2024). Artificial Intelligence in Education: Mathematics Teachers’ Perspectives, Practices and Challenges. Iraqi Journal for Computer Science and Mathematics, 5(1), 60-77. https://doi.org/10.52866/ijcsm.2024.05.01.004