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Thematic Modeling of Preservice Mathematics Teachers’ Reflections on ChatGPT Use: Appraisals, Ethical Challenges and Aspirations Skip to content Yıl 2024, Cilt: 14 Sayı: 1, 21 – 35, 30.06.2024
Orhan Kaplan
https://doi.org/10.17984/adyuebd.1463794
Öz The global proliferation of generative AI is being debated because of its implication on education. Despite rapid adoption of ChatGPT-3.5 in educational settings, research is scarce as educators and institutions are not fully prepared to face the potential unforeseen and long-term consequences of ChatGPT on student learning dispositions. This study explored pre-service mathematics teachers’ experiences with ChatGPT and their perceptions regarding its affordances, ethical issues, and potential uses in education and future teaching. Using a convenience sampling, 25 second- and third-year pre-service mathematics teachers (22 female and 3 male) participated in the study. Qualitative data were collected from semi-structured online interview forms and a subsequent focus group discussion, which were analyzed using thematic analysis methodology. A perceptual model of ChatGPT adoption (PMCA) including five main themes were developed: familiarity with ChatGPT, positive appraisals, dissatisfactory experiences and ethical concerns, aspirations to use in mathematics teacher education, and aspirations to use for prospective teaching. The research results showed that teacher candidates found using ChatGPT in their education useful, but they also expressed their concerns about the difficulties and ethics of using ChatGPT. This study aims to provide empirical evidence for educators, policy makers, and future research to contribute to the current conversations about AI in teacher education programmes.
Anahtar Kelimeler Artificial intelligence, Teacher education, Ethics, Thematic analysis
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The discovery of grounded theory: Strategies for qualitative research. Sage. Goel, A. K., & Joyner, D. A. (2017). Using AI to teach AI: Lessons from an online AI class. AI Magazine, 38(2), 48–58. Green, J., & Thorogood, N. (2014). Qualitative methods for health research (4th ed.). Sage. Holloway, I., & Todres, L. (2003). The status of method: Flexibility, consistency and coherence. Qualitative Research, 3, 345–357. doi:10.1177/1468794103033004 Holmes, W., & Miao, F. (2023). Guidance for generative AI in education and research. UNESCO Publishing. Hopp, C., & Speil, A. (2021). How prevalent is plagiarism among college students? Anonymity preserving evidence from Austrian undergraduates. Accountability in Research, 28(3), 133–148. https://doi.org/10.1080/08989621.2020.1804880 Hotaman, D. (2010). The teaching profession: knowledge of subject matter, teaching skills and personality traits. Procedia-Social and Behavioral Sciences, 2(2), 1416-1420. https://doi.org/10.1016/j.sbspro.2010.03.211 Hung, J., & Chen, J. (2023). The Benefits, Risks and Regulation of Using ChatGPT in Chinese Academia: A Content Analysis. Social Sciences, 12(7), 380. https://doi.org/10.3390/socsci12070380 Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Educational Technology & Society, 21(3), 48–59. Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069-6104. https://doi.org/10.1007/s10639-021-10831-6 Lincoln, Y. S. & Guba, E. (1985). Naturalistic Inquiry. Beverly Hills, CA: Sage. Liu, S. H. (2012). A multivariate model of factors influencing technology use by preservice teachers during practice teaching. Journal of Educational Technology & Society, 15(4), 137-149. Liu, W. (2023). The cognitive basis of thematic analysis. International Journal of Research & Method in Education, 1-11. https://doi.org/10.1080/1743727x.2023.2274337 Lozano, A., & Blanco Fontao, C. (2023). Is the Education System Prepared for the Irruption of Artificial Intelligence? A Study on the Perceptions of Students of Primary Education Degree from a Dual Perspective: Current Pupils and Future Teachers. Education Sciences, 13(7), 733. https://doi.org/10.3390/educsci13070733 Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3, 100076. https://doi.org/10.1016/j.caeai.2022.100076 Moore, R. L., Jiang, S., & Abramowitz, B. (2023). What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions. Journal of Research on Technology in Education, 55(1), 7-20. https://doi.org/10.1080/15391523.2022.2148785 Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847 Orduña-Malea, E., & Cabezas-Clavijo, Á. (2023). ChatGPT and the potential growing of ghost bibliographic references. Scientometrics, 128(9), 5351–5355. https://doi.org/10.1007/s11192-023-04804-4 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 Pham, S. T. H., & Sampson, P. M. (2022). The development of artificial intelligence in education: A review in context. Journal of Computer Assisted Learning, 38(5), 1408–1421. https://doi.org/10.1111/jcal.12687 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), 1-13. https://doi.org/10.1186/s41039-017-0062-8 Reiss, M. J. (2021). The use of Al in education: Practicalities and ethical considerations. London Review of Education, 19(1), 1-14. https://doi.org/10.14324/lre.19.1.05 Roscoe, R. D., Salehi, S., Nixon, N., Worsley, M., Piech, C., & Luckin, R. (2022). Inclusion and Equity as a Paradigm Shift for Artificial Intelligence in Education. In F. Ouyang, P. Jiao, B. M. McLaren & A. H. Alavi (Eds.), Artificial Intelligence in STEM Education, 359–374. https://doi.org/10.1201/9781003181187-28 Sáiz-Manzanares, M. C., Marticorena-Sánchez, R., Martín-Antón, L. J., Díez, I. G., & Almeida, L. (2023). Perceived satisfaction of university students with the use of chatbots as a tool for self-regulated learning. Heliyon, 9(1), e12843. https://doi.org/10.1016/j.heliyon.2023.e12843 Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 1-23. https://doi.org/10.1186/s41239-021-00292-9 Shin, D. (2022). Teaching mathematics integrating intelligent tutoring systems: investigating prospective teachers’ concerns and TPACK. International Journal of Science and Mathematics Education, 20, 1659–1676. https://doi.org/10.1007/s10763-021-10221-x Shoufan, A. (2023). Exploring students’ perceptions of ChatGPT: Thematic analysis and follow-up survey. IEEE Access, 11, 38805-38818. https://doi.org/10.1109/access.2023.3268224 Tapan-Broutin, M. S. (2023). Matematik Öğretmen Adaylarının ChatGPT ile Başlangıç Deneyimlerinde Sordukları Soruların İncelenmesi [Examination of Questions Asked by Pre-Service Mathematics Teachers in Their Initial Experiences with ChatGPT]. Uludağ Üniversitesi Eğitim Fakültesi Dergisi, 36 (2), 707-732. Vaughn, S., Schumm, J. S., Sinagub J., & Sinagub J. M. (1996). Focus group interviews in education and psychology. Sage. Wogu, I. A. P., Misra, S., Olu-Owolabi, E. F., Assibong, P. A., Udoh, O. D., Ogiri, S. O., & Damasevicius, R. (2018). Artificial intelligence, artificial teachers and the fate of learners in the 21st century education sector: Implications for theory and practice. International Journal of Pure and Applied Mathematics, 119(16), 2245–2259. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
Matematik Öğretmen Adaylarının ChatGPT Kullanımına İlişkin Algılarının Tematik Modellenmesi: Değerlendirmeler, Etik Zorluklar ve Beklentiler Yıl 2024, Cilt: 14 Sayı: 1, 21 – 35, 30.06.2024
Orhan Kaplan
https://doi.org/10.17984/adyuebd.1463794
Öz Üretken yapay zekanın küresel yayılımı, eğitim üzerindeki etkisi açısından tartışılmaktadır. ChatGPT’nin eğitim ortamlarında hızla benimsenmesine rağmen, araştırmaların azlığından dolayı eğitimciler ve kurumlar ChatGPT’nin öğrenci öğrenme eğilimi üzerindeki potansiyel öngörülemeyen ve uzun vadeli sonuçlarıyla yüzleşmeye tam olarak hazır değillerdir. Bu çalışmada, matematik öğretmen adaylarının ChatGPT ile ilgili deneyimleri, ChatGPT’nin faydaları, etik sorunları ve eğitimde ve gelecekteki öğretimde potansiyel kullanımlarına ilişkin algıları incelenmiştir. Bu çalışmanın katılımcıları ikinci ve üçüncü yılındaki 25 matematik öğretmen adayıdır (22 kadın ve 3 erkek). Nitel veriler, yarı yapılandırılmış çevrimiçi görüşme formları ve bunu takip eden odak grup tartışması yoluyla toplanmış ve tematik analiz metodolojisi kullanılarak analiz edilmiştir. ChatGPT’nin benimsenmesi için beş ana temayı içeren bir algısal model geliştirilmiştir: ChatGPT’ye aşinalık, olumlu değerlendirmeler, tatmin edici olmayan deneyimler ve etik kaygılar, matematik öğretmenliği eğitiminde kullanma istekleri ve gelecekteki öğretimlerinde kullanma istekleri. ChatGPT öğretmen adayları için faydalı olarak görülmüş, ancak zorluklar ve etik endişeler dile getirilmiş ve bulguların çıkarımları tartışılmıştır. Bu keşifsel çalışma, eğitimciler, eğitim politika yapıcıları ve gelecekteki araştırmalar için öğretmen eğitimi programlarında yapay zeka ile ilgili mevcut tartışmalara ampirik kanıt sağlayarak katkıda bulunmayı arzulamaktadır.
Anahtar Kelimeler Yapay zeka, Öğretmen eğitimi, Etik, Tematik analiz
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Procedia-Social and Behavioral Sciences, 2(2), 1416-1420. https://doi.org/10.1016/j.sbspro.2010.03.211 Hung, J., & Chen, J. (2023). The Benefits, Risks and Regulation of Using ChatGPT in Chinese Academia: A Content Analysis. Social Sciences, 12(7), 380. https://doi.org/10.3390/socsci12070380 Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Educational Technology & Society, 21(3), 48–59. Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069-6104. https://doi.org/10.1007/s10639-021-10831-6 Lincoln, Y. S. & Guba, E. (1985). Naturalistic Inquiry. Beverly Hills, CA: Sage. Liu, S. H. (2012). A multivariate model of factors influencing technology use by preservice teachers during practice teaching. Journal of Educational Technology & Society, 15(4), 137-149. Liu, W. (2023). The cognitive basis of thematic analysis. International Journal of Research & Method in Education, 1-11. https://doi.org/10.1080/1743727x.2023.2274337 Lozano, A., & Blanco Fontao, C. (2023). Is the Education System Prepared for the Irruption of Artificial Intelligence? A Study on the Perceptions of Students of Primary Education Degree from a Dual Perspective: Current Pupils and Future Teachers. Education Sciences, 13(7), 733. https://doi.org/10.3390/educsci13070733 Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3, 100076. https://doi.org/10.1016/j.caeai.2022.100076 Moore, R. L., Jiang, S., & Abramowitz, B. (2023). What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions. Journal of Research on Technology in Education, 55(1), 7-20. https://doi.org/10.1080/15391523.2022.2148785 Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847 Orduña-Malea, E., & Cabezas-Clavijo, Á. (2023). ChatGPT and the potential growing of ghost bibliographic references. Scientometrics, 128(9), 5351–5355. https://doi.org/10.1007/s11192-023-04804-4 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 Pham, S. T. H., & Sampson, P. M. (2022). The development of artificial intelligence in education: A review in context. Journal of Computer Assisted Learning, 38(5), 1408–1421. https://doi.org/10.1111/jcal.12687 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), 1-13. https://doi.org/10.1186/s41039-017-0062-8 Reiss, M. J. (2021). The use of Al in education: Practicalities and ethical considerations. London Review of Education, 19(1), 1-14. https://doi.org/10.14324/lre.19.1.05 Roscoe, R. D., Salehi, S., Nixon, N., Worsley, M., Piech, C., & Luckin, R. (2022). Inclusion and Equity as a Paradigm Shift for Artificial Intelligence in Education. In F. Ouyang, P. Jiao, B. M. McLaren & A. H. Alavi (Eds.), Artificial Intelligence in STEM Education, 359–374. https://doi.org/10.1201/9781003181187-28 Sáiz-Manzanares, M. C., Marticorena-Sánchez, R., Martín-Antón, L. J., Díez, I. G., & Almeida, L. (2023). Perceived satisfaction of university students with the use of chatbots as a tool for self-regulated learning. Heliyon, 9(1), e12843. https://doi.org/10.1016/j.heliyon.2023.e12843 Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 1-23. https://doi.org/10.1186/s41239-021-00292-9 Shin, D. (2022). Teaching mathematics integrating intelligent tutoring systems: investigating prospective teachers’ concerns and TPACK. International Journal of Science and Mathematics Education, 20, 1659–1676. https://doi.org/10.1007/s10763-021-10221-x Shoufan, A. (2023). Exploring students’ perceptions of ChatGPT: Thematic analysis and follow-up survey. IEEE Access, 11, 38805-38818. https://doi.org/10.1109/access.2023.3268224 Tapan-Broutin, M. S. (2023). Matematik Öğretmen Adaylarının ChatGPT ile Başlangıç Deneyimlerinde Sordukları Soruların İncelenmesi [Examination of Questions Asked by Pre-Service Mathematics Teachers in Their Initial Experiences with ChatGPT]. Uludağ Üniversitesi Eğitim Fakültesi Dergisi, 36 (2), 707-732. Vaughn, S., Schumm, J. S., Sinagub J., & Sinagub J. M. (1996). Focus group interviews in education and psychology. Sage. Wogu, I. A. P., Misra, S., Olu-Owolabi, E. F., Assibong, P. A., Udoh, O. D., Ogiri, S. O., & Damasevicius, R. (2018). Artificial intelligence, artificial teachers and the fate of learners in the 21st century education sector: Implications for theory and practice. International Journal of Pure and Applied Mathematics, 119(16), 2245–2259. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0 Toplam 52 adet kaynakça vardır.
Ayrıntılar Birincil Dil İngilizce Konular Öğretmen Eğitimi ve Eğitimcilerin Mesleki Gelişimi, Matematik Eğitimi, Eğitim Teknolojisi ve Bilgi İşlem Bölüm Araştırma Makaleleri Yazarlar Orhan Kaplan GAZİANTEP ÜNİVERSİTESİ, NİZİP EĞİTİM FAKÜLTESİ 0000-0002-4306-2266 Türkiye
Yayımlanma Tarihi 30 Haziran 2024 Gönderilme Tarihi 2 Nisan 2024 Kabul Tarihi 28 Haziran 2024 Yayımlandığı Sayı Yıl 2024 Cilt: 14 Sayı: 1
Kaynak Göster APA Kaplan, O. (2024). Thematic Modeling of Preservice Mathematics Teachers’ Reflections on ChatGPT Use: Appraisals, Ethical Challenges and Aspirations. Adıyaman University Journal of Educational Sciences, 14(1), 21-35. https://doi.org/10.17984/adyuebd.1463794
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