Pre-Service English Teachers’ Lived Experience in Using AI in Teaching Preparation
DOI:
https://doi.org/10.51276/edu.v5i1.767Keywords:
Pre-service English Teacher, AI integration, teaching preparationAbstract
Pre-service English teachers are expected to integrate technologies to teach in this digital era. Furthermore, AI is rapidly growing and offers teachers to be supported. This phenomenological study explicated pre-service English teachers’ lived experiences in using AIs to support their teaching preparation. In previous studies, less was known about how newcomer educators integrated AI into their pedagogical development. Through in-depth interviews, this study addressed two research questions; What are the pre-service English teachers’ lived experiences in using AI in teaching preparation? How does the AI help the teacher to prepare for their teaching? This study showcased five themes emerging: 1) exploration of AI’s pedagogical potential; 2) emerging pedagogical beliefs and shifting attitudes; 3) intentional integration and innovative lesson design; 4) ethical reflections and responsible AI use; and 5) shifting self-efficacy and confidence. This study explicated how AI utilization experiences mould participants’ pedagogical beliefs, implementation, and perception of technology integration. These findings will help education programmes in preparing candidates and require the TPACK.
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Adam, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023). Ethical Principles for Artificial Intelligence in K-12 Education. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100131
Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M., Irshad, M., Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of Artificial Intelligence on Human Loss in Decision Making, Laziness and Safety in Education. Humanities and Social Sciences Communications, 10(1), 1-14. https://doi.org/10.1057/s41599-023-01787-8
Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., bin Saleh, K., Alowais, S. A., Alshaya, O. A., Rahman, I., Al Yami, M. S., & Albekairy, A. M. (2023). The Emergent Role of Artificial Intelligence, Natural Learning Processing, and Large Language Models in Higher Education and Research. In Research in Social and Administrative Pharmacy, 19(8), 1236-1242. https://doi.org/10.1016/j.sapharm.2023.05.016
Andrade, C. (2021). The Inconvenient Truth About Convenience and Purposive Samples. Indian Journal of Psychological Medicine, 43(1), 86–88. https://doi.org/10.1177/0253717620977000
Arifa, F. N., & Prayitno, U. S. (2019). Peningkatan Kualitas Pendidikan: Program Pendidikan Profesi Guru Prajabatan dalam Pemenuhan Kebutuhan Guru Profesional di Indonesia. Aspirasi: Jurnal Masalah-Masalah Sosial, 10(1), 1–17. https://doi.org/10.46807/aspirasi.v10i1.1229
Ayanwale, M. A., Sanusi, I. T., Adelana, O. P., Aruleba, K. D., & Oyelere, S. S. (2022). Teachers’ Readiness and Intention to Teach Artificial Intelligence in Schools. Computers and Education: Artificial Intelligence, 3, 100099. https://doi.org/10.1016/j.caeai.2022.100099
Baber, H. (2022). Social Interaction and Effectiveness of Online Learning – A Moderating Role of Maintaining Social Distance During the Pandemic COVID-19. Asian Education and Development Studies, 11(1), 159–171. https://doi.org/10.1108/AEDS-09-2020-0209
Bandura, A. (1997). Self-efficacy: The Exercise of Control. Self-Efficacy : The Exercise of Control.
Butakor, P. K. (2023). Exploring Pre-Service Teachers’ Beliefs About the Role of Artificial Intelligence in Higher Education in Ghana. International Journal of Innovative Technologies in Social Science, 3(39), 1-15. https://doi.org/10.31435/rsglobal_ijitss/30092023/8057
Celik, I. (2023). Towards Intelligent-TPACK: An Empirical Study on Teachers’ Professional Knowledge to Ethically Integrate Artificial Intelligence (AI)-Based Tools Into Education. Computers in Human Behavior, 138, 107468. https://doi.org/10.1016/j.chb.2022.107468
Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty Years of Personalized Language Learning: Topic Modeling and Knowledge Mapping. Educational Technology and Society, 24(1).
Chiu, T. K. F. (2021). A Holistic Approach to the Design of Artificial Intelligence (AI) Education for K-12 Schools. TechTrends, 65(5), 796–807. https://doi.org/10.1007/s11528-021-00637-1
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic Literature Review on Opportunities, Challenges, and Future Research Recommendations of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118
Chu, H. C., Hwang, G. H., Tu, Y. F., & Yang, K. H. (2022). Roles and Research Trends of Artificial Intelligence in Higher Education: A Systematic Review of the Top 50 Most-Cited Articles. Australasian Journal of Educational Technology, 38(3), 22–42. https://doi.org/10.14742/ajet.7526
Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications.
Elhami, A., & Khoshnevisan, B. (2022). Conducting an Interview in Qualitative Research: The Modus Operandi. Mextesol Journal, 46(1), 1-7. https://doi.org/10.12968/ijtr.2009.16.12.45433
Ersozlu, Z., Ledger, S., Ersozlu, A., Mayne, F., & Wildy, H. (2021). Mixed-Reality Learning Environments in Teacher Education: An Analysis of Teachlive™ Research. Sage Open, 11(3). https://doi.org/10.1177/21582440211032155
Hidayati, I. N., Rahmah, M., & Gusnadi, G. (2022). Improving Teachers’ Ability to Integrate TPACK in Their Lessons through Hands-on Activities: A Lesson Study Based Research. Journal of Learning Improvement and Lesson Study, 2(1), 28–33. https://doi.org/10.24036/jlils.v2i1.14
Hrastinski, S., Olofsson, A. D., Arkenback, C., Ekström, S., Ericsson, E., Fransson, G., Jaldemark, J., Ryberg, T., Öberg, L. M., Fuentes, A., Gustafsson, U., Humble, N., Mozelius, P., Sundgren, M., & Utterberg, M. (2019). Critical Imaginaries and Reflections on Artificial Intelligence and Robots in Postdigital K-12 Education. Postdigital Science and Education, 1(2), 427–445. https://doi.org/10.1007/s42438-019-00046-x
Huang, Y., Cox, A. M., & Cox, J. (2023). Artificial Intelligence in Academic Library Strategy in the United Kingdom and the Mainland of China. Journal of Academic Librarianship, 49(6), 1-10. https://doi.org/10.1016/j.acalib.2023.102772
Jin, Y., & Schmidt-Crawford, D. (2022). Preservice Teacher Cluster Memberships in an Ed-Tech Course: A Study of Their TPACK Development. Computers and Education Open, 3, 100089. https://doi.org/10.1016/j.caeo.2022.100089
Karandish, D. (2021). 7 Benefits of AI in Education. The Journal. Received from https://thejournal.com/Articles/2021/06/23/7-Benefits-of-AI-in-Education.aspx
Kemdikbud. (2023). PPG Prajabatan - Direktorat Pendidikan Profesi Guru (PPG). Direktorat Jenderal Guru dan Tenaga Kependidikan Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. Received from https://ppg.kemdikbud.go.id/ppg-prajabatan
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring Generative Artificial Intelligence Preparedness Among University Language Instructors: A Case Study. Computers and Education: Artificial Intelligence, 5, 100156. https://doi.org/10.1016/j.caeai.2023.100156
Korteling, J. E. (Hans., van de Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021). Human-Versus Artificial Intelligence. Frontiers in Artificial Intelligence, 4, 1–13. https://doi.org/10.3389/frai.2021.622364
Kwangmuang, P., Jarutkamolpong, S., Sangboonraung, W., & Daungtod, S. (2021). The Development of Learning Innovation to Enhance Higher-Order Thinking Skills for Students in Thailand Junior High Schools. Heliyon, 7(6), 1-13. https://doi.org/10.1016/j.heliyon.2021.e07309
Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R. (2022). Alexa, What do We Know About Conversational Commerce? Insights from a Systematic Literature Review. Psychology and Marketing, 39(6), 1129–1155. https://doi.org/10.1002/mar.21654
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C. C. (2020). Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Frontiers in Psychology, 11, 1–11. https://doi.org/10.3389/fpsyg.2020.580820
Moustakas, C. (1994). Phenomenological Research Methods. Sage Publications.
Neubauer, B. E., Witkop, C. T., & Varpio, L. (2019). How Phenomenology Can Help Us Learn from the Experiences of Others. Perspectives on Medical Education, 8(2), 90–97. https://doi.org/10.1007/s40037-019-0509-2
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI Digital Competencies and Twenty-First-Century Skills in the Post-Pandemic World. Educational Technology Research and Development, 71(1), 137–161. https://doi.org/10.1007/s11423-023-10203-6
Niemi, H. (2021). AI in Learning: Preparing Grounds for Future Learning. Journal of Pacific Rim Psychology, 15. https://doi.org/10.1177/18344909211038105
Noorhapizah, N., Pratiwi, D. A., Prihandoko, Y., Ayuni, H., & Putri, T. A. S. (2022). Development of HOTs-Based Teaching Materials, Multiple Intelligence, and Baimbai Wood Characters for River-Bank Elementary Schools. Edunesia : Jurnal Ilmiah Pendidikan, 4(1), 94–107. https://doi.org/10.51276/edu.v4i1.302
Cardona, M. A., Rodríguez, R. J., & Ishmael, K. (2023). Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. Washington DC: Office of Educaational Technology.
Oran, B. B. (2023). Correlation Between Artificial Intelligence in Education and Teacher Self-Efficacy Beliefs: A Review. RumeliDE Dil ve Edebiyat Araştırmaları Dergisi, 34, 1354–1365. https://doi.org/10.29000/rumelide.1316378
Pedró, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. UNESCO.
Permendikbud. (2013). Peraturan Pendidikan dan Kebudayaan Republik Indonesia Nomor 87 Tahun 2013. Peraturan Menteri Pendidikan dan Kebedayaan. Retrieved from https://luk.staff.ugm.ac.id/atur/Permendikbud87-2013PendidikanProfesiGuru.pdf
Ratten, V., & Jones, P. (2023). Generative Artificial Intelligence (ChatGPT): Implications for Management Educators. International Journal of Management Education, 21(3), 100857. https://doi.org/10.1016/j.ijme.2023.100857
Rutledge, P. B., & Hogg, J. L. C. (2020). In‐Depth Interviews. The International Encyclopedia of Media Psychology, 1-7. https://doi.org/10.1002/9781119011071.iemp0019
Sarker, I. H. (2022). AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Computer Science, 3(2), 1–20. https://doi.org/10.1007/s42979-022-01043-x
Sihotang, W., Hajar, I., Simaremare, A., Muliati, A., & Octaviany, R. A. (2022). The Influence of Leadership and Motivation on Teacher Job Satisfaction at SMA Brigjend Katamso II Medan. Edunesia : Jurnal Ilmiah Pendidikan, 3(3), 214–228. https://doi.org/10.51276/edu.v3i3.268
Tunjera, N., & Chigona, A. (2023). Investigating Effective Ways to Use Artificial Intelligence in Teacher Education. European Conference on E-Learning, 22(1), 331–340. https://doi.org/10.34190/ecel.22.1.1625
Van Manen, M. (2016). Researching Lived Experience: Human Science for an Action Sensitive Pedagogy. Routledge.
Weyerer, C. J., & F. Langer, P. F. (2019). Garbage In, Garbage Out: The Vicious Cycle of Ai-Based Discrimination in the Public Sector. In Proceedings of the 20th Annual International Conference on Digital Government Research, 509-511. https://doi.org/10.1145/3325112.3328220
Widiasanti, I., Astriani, D., Rahayanti, A. E., Septianto, B., & Widianingsih, L. (2023). Analysis of E-Learning Activities as School Learning Media in the Era of Society 5.0 Using Big Data. Edunesia : Jurnal Ilmiah Pendidikan, 4(3), 1082–1096. https://doi.org/10.51276/edu.v4i3.438
Xie, H., Chu, H. C., Hwang, G. J., & Wang, C. C. (2019). Trends and Development in Technology-Enhanced Adaptive/Personalized Learning: A Systematic Review of Journal Publications from 2007 to 2017. Computers and Education, 140. https://doi.org/10.1016/j.compedu.2019.103599
Zhang, C., Schießl, J., Plößl, L., Hofmann, F., & Gläser-Zikuda, M. (2023). Acceptance of Artificial Intelligence Among Pre-Service Teachers: A Multigroup Analysis. International Journal of Educational Technology in Higher Education, 20(1), 1-22. https://doi.org/10.1186/s41239-023-00420-7
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