Pedagogical Research

• Abdulayeva, A., Zhanatbekova, N., Andasbayev, Y., & Boribekova, F. (2025). Fostering AI literacy in pre-service physics teachers: Inputs from training and co-variables. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1505420
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• Alejandro, I. M. V., Sanchez, J. M. P., Sumalinog, G. G., Mananay, J. A., Goles, C. E., & Fernandez, C. B. (2024). Pre-service teachers’ technology acceptance of artificial intelligence (AI) applications in education. STEM Education, 4(4), 445-465. https://doi.org/10.3934/steme.2024024
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• Ayanwale, M. A., Adelana, O. P., Molefi, R. R., Adeeko, O., & Ishola, A. M. (2024a). Examining artificial intelligence literacy among pre-service teachers for future classrooms. Computers and Education Open, 6, Article 100179. https://doi.org/10.1016/j.caeo.2024.100179
• Ayanwale, M. A., Frimpong, E. K., Opesemowo, O. A. G., & Sanusi, I. T. (2024b). Exploring factors that support pre-service teachers’ engagement in learning artificial intelligence. Journal for STEM Education Research, 8(2), 199-229. https://doi.org/10.1007/s41979-024-00121-4
• Baker, R. S., & Hawn, A. (2022). Algorithmic bias in education. International Journal of Artificial Intelligence in Education, 32(4), 1052-1092. https://doi.org/10.1007/s40593-021-00285-9
• 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, Article 107468. https://doi.org/10.1016/j.chb.2022.107468
• Chiu, T. K. F. (2023). The impact of generative AI (GenAI) on practices, policies and research direction in education: A case of ChatGPT and midjourney. Interactive Learning Environments, 32(10), 6187-6203. https://doi.org/10.1080/10494820.2023.2253861
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• Chung, C.-J. (2024). Preservice teachers’ perceptions of AI in education. AI-EDU Arxiv, 1-5. https://doi.org/10.36851/ai-edu.vi0.4155
• Chung, J. Y., & Jeong, S.-H. (2024). Exploring the perceptions of Chinese pre-service teachers on the integration of generative AI in English language teaching: Benefits, challenges, and educational implications. Online Journal of Communication and Media Technologies, 14(4), Article e202457. https://doi.org/10.30935/ojcmt/15266
• Darmawansah, D., Rachman, D., Febiyani, F., & Hwang, G.-J. (2024). ChatGPT-supported collaborative argumentation: Integrating collaboration script and argument mapping to enhance EFL students’ argumentation skills. Education and Information Technologies, 30(3), 3803-3827. https://doi.org/10.1007/s10639-024-12986-4
• Derakhshan, A. (2025). EFL students’ perceptions about the role of generative artificial intelligence (GAI)-mediated instruction in their emotional engagement and goal orientation: A motivational climate theory (MCT) perspective in focus. Learning and Motivation, 90, Article 102114. https://doi.org/10.1016/j.lmot.2025.102114
• Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
• Eyüp, B., & Kayhan, S. (2023). Pre-service Turkish language teachers’ anxiety and attitudes toward artificial intelligence. International Journal of Education and Literacy Studies, 11(4), 43-56. https://doi.org/10.7575/aiac.ijels.v.11n.4p.43
• Falebita, O. S. (2024). Assessing the relationship between anxiety and the adoption of artificial intelligence tools among mathematics preservice teachers. Interdisciplinary Journal of Education Research, 6. https://doi.org/10.38140/ijer-2024.vol6.20
• Filiz, O., Kaya, M. H., & Adiguzel, T. (2025). Teachers and AI: Understanding the factors influencing AI integration in K-12 education. Education and Information Technologies, 30, 17931-17967. https://doi.org/10.1007/s10639-025-13463-2
• Gatlin, M. (2023). Assessing pre-service teachers’ attitudes and perceptions of using artificial intelligence in the classroom. Texas Educator Preparation, 7(2), 1-8. https://doi.org/10.59719/txep.v7i2.35
• González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied Sciences, 11(12), Article 5467. https://doi.org/10.3390/app11125467
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• Guan, L., Zhang, Y., & Gu, M. M. (2025). Pre-service teachers preparedness for AI-integrated education: An investigation from perceptions, capabilities, and teachers’ identity changes. Computers and Education: Artificial Intelligence, 8, Article 100341. https://doi.org/10.1016/j.caeai.2024.100341
• Imran, M., & Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15(4), Article ep464. https://doi.org/10.30935/cedtech/13605
• Kalniņa, D., Nīmante, D., & Baranova, S. (2024). Artificial intelligence for higher education: Benefits and challenges for pre-service teachers. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1501819
• Karataş, F., & Yüce, E. (2024). AI and the future of teaching: Preservice teachers’ reflections on the use of artificial intelligence in open and distributed learning. The International Review of Research in Open and Distributed Learning, 25(3). https://doi.org/10.19173/irrodl.v25i3.7785
• 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, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274
• Koehler, M. J., Mishra, P., & Cain, W. (2017). What is technological pedagogical content knowledge (TPACK)? Journal of Education, 193(3), 13-19. https://doi.org/10.1177/002205741319300303
• Konca, A. S., Simsar, A., Alhajji, R., & Al Mansoori, A. (2025). Cross-cultural perspectives on AI adoption in teacher education: A comparative study of pre-service teachers in Turkey and the United Arab Emirates. Interactive Learning Environments, 1-27. https://doi.org/10.1080/10494820.2025.2488143
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• Liu, Y., Wang, Q., & Lei, J. (2025). Adopting generative AI in future classrooms: A study of preservice teachers’ intentions and influencing factors. Behavioral Sciences, 15(8), Article 1040. https://doi.org/10.3390/bs15081040
• 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, Article 580820. https://doi.org/10.3389/fpsyg.2020.580820
• Lucas, M., Bem-Haja, P., Siddiq, F., Moreira, A., & Redecker, C. (2021). The relation between in-service teachers’ digital competence and personal and contextual factors: What matters most? Computers & Education, 160, Article 104052. https://doi.org/10.1016/j.compedu.2020.104052
• Lucas, M., Bem-haja, P., Zhang, Y., Llorente-Cejudo, C., & Palacios-Rodríguez, A. (2025). A comparative analysis of pre-service teachers’ readiness for AI integration. Computers and Education: Artificial Intelligence, 8, Article 100396. https://doi.org/10.1016/j.caeai.2025.100396
• Mishra, P., Warr, M., & Islam, R. (2023). TPACK in the age of ChatGPT and generative AI. Journal of Digital Learning in Teacher Education, 39(4), 235-251. https://doi.org/10.1080/21532974.2023.2247480
• Mnguni, L., Nuangchalerm, P., El Islami, R. A. Z., Sibanda, D., Ramulumo, M., & Sari, I. J. (2024). AI integration in biology education: Comparative insights into perceived benefits and TPACK among South African and Indonesian pre-service teachers. Asia-Pacific Science Education, 10(2), 381-410. https://doi.org/10.1163/23641177-bja10086
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• Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022). Teachers’ trust in AI-powered educational technology and a professional development program to improve it. British Journal of Educational Technology, 53(4), 914-931. https://doi.org/10.1111/bjet.13232
• 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
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• Özüdoğru, G., & Durak, H. Y. (2025). Conceptualizing pre-service teachers’ artificial intelligence readiness and examining its relationship with various variables: The role of artificial intelligence literacy, digital citizenship, artificial intelligence-enhanced innovation and perceived threats from artificial intelligence. Information Development, 41(3), 916-932. https://doi.org/10.1177/02666669251335657
• Pokrivcakova, S. (2023). Pre-service teachers’ attitudes towards artificial intelligence and its integration into EFL teaching and learning. Journal of Language and Cultural Education, 11(3), 100-114. https://doi.org/10.2478/jolace-2023-0031
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• Ramnarain, U., Ogegbo, A. A., Penn, M., Ojetunde, S., & Mdlalose, N. (2024). Pre-service science teachers’ intention to use generative artificial intelligence in inquiry-based teaching. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-024-10159-z
• Rana, M. M., Siddiqee, M. S., Sakib, M. N., & Ahamed, M. R. (2024). Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework. Heliyon, 10(18), Article e37569. https://doi.org/10.1016/j.heliyon.2024.e37569
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• Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-362. https://doi.org/10.37074/jalt.2023.6.1.9
• Runge, I., Hebibi, F., & Lazarides, R. (2025). Acceptance of pre-service teachers towards artificial intelligence (AI): The role of AI-related teacher training courses and AI-TPACK within the technology acceptance model. Education Sciences, 15(2), Article 167. https://doi.org/10.3390/educsci15020167
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APA

Kuzu, S. (2025). Artificial intelligence in pre-service teacher education: Bibliometrics analysis. Pedagogical Research, 10(4), em0249. https://doi.org/10.29333/pr/17402

Vancouver

Kuzu S. Artificial intelligence in pre-service teacher education: Bibliometrics analysis. PEDAGOGICAL RES. 2025;10(4):em0249. https://doi.org/10.29333/pr/17402

AMA

Kuzu S. Artificial intelligence in pre-service teacher education: Bibliometrics analysis. PEDAGOGICAL RES. 2025;10(4), em0249. https://doi.org/10.29333/pr/17402

Chicago

Kuzu, Sekvan. "Artificial intelligence in pre-service teacher education: Bibliometrics analysis". Pedagogical Research 2025 10 no. 4 (2025): em0249. https://doi.org/10.29333/pr/17402

Harvard

Kuzu, S. (2025). Artificial intelligence in pre-service teacher education: Bibliometrics analysis. Pedagogical Research, 10(4), em0249. https://doi.org/10.29333/pr/17402

MLA

Kuzu, Sekvan "Artificial intelligence in pre-service teacher education: Bibliometrics analysis". Pedagogical Research, vol. 10, no. 4, 2025, em0249. https://doi.org/10.29333/pr/17402