Eurasia Journal of Mathematics, Science and Technology Education

• Almansour, N. (2024). Investigating factors influencing EFL learners’ behavioral intentions to adopt ChatGPT for language learning. Journal of Language Teaching & Research, 15(6), 1910-1918. https://doi.org/10.17507/jltr.1506.16
• Alzoubi, H. (2024). Factors affecting ChatGPT use in education employing TAM: A Jordanian universities’ perspective. International Journal of Data and Network Science, 8(3), 1599-1606. https://doi.org/10.5267/j.ijdns.2024.3.007
• Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y
• Chocarro, R., Cortiñas, M., & Marcos-Matás, G. (2021). 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
• Cumhur, F., & Güven, B. (2018). Investigating of preservice mathematics teachers’ questioning: The reflections from teaching practice course. Journal of Computer and Education Research, 6(12), 195-221. https://doi.org/10.18009/jcer.432559
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
• Didiş Kabar, M. G., & Erbaş, A. K. (2019). Pre-service secondary mathematics teachers’ anticipation and identification of students’ thinking in the context of modelling problems. International Journal of Mathematical Education in Science and Technology, 52(2), 208-236. https://doi.org/10.1080/0020739X.2019.1670368
• Ensor, P. (2001). From preservice mathematics teacher education to beginning teaching: A study in recontextualizing. Journal for Research in Mathematics Education, 32(3), 296-320. https://doi.org/10.2307/749829
• Gatlin, M. (2023). Assessing preservice 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
• Grossman, P., Compton, C., Igra, D., Ronfeldt, M., Shahan, E., & Williamson, P. W. (2009). Teaching practice: A cross-professional perspective. Teachers College Record, 111(9), 2055-2100. https://doi.org/10.1177/016146810911100905
• Guo, S., Shi, L., & Zhai, X. (2024). Developing and validating an instrument for teachers’ acceptance of artificial intelligence in education. Education and Information Technologies, 30, 13439-13461. https://doi.org/10.1007/s10639-025-13338-6
• Gurl, T. J., Markinson, M. P., & Artzt, A. F. (2024). Using ChatGPT as a lesson planning assistant with preservice secondary mathematics teachers. Digital Experiences in Mathematics Education, 11, 114-139. https://doi.org/10.1007/s40751-024-00162-9
• Hur, J. W. (2025). Fostering AI literacy: Overcoming concerns and nurturing confidence among preservice teachers. Information and Learning Sciences, 126(1/2), 56-74. https://doi.org/10.1108/ILS-11-2023-0170
• Iqbal, N., Ahmed, H., & Azhar, K. A. (2022). Exploring teachers’ attitudes towards using ChatGPT. Global Journal for Management and Administrative Sciences, 3(4), 97-111. https://doi.org/10.46568/gjmas.v3i4.163
• Kazemi, E., & Stipek, D. (2009). Promoting conceptual thinking in four upper-elementary mathematics classrooms. Journal of Education, 189(1-2), 123-137. https://doi.org/10.1177/0022057409189001-209
• Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press. https://doi.org/10.1017/CBO9780511815355
• Lee, D., Son, T., & Yeo, S. (2025). Impacts of interacting with an AI chatbot on preservice teachers’ responsive teaching skills in math education. Journal of Computer Assisted Learning, 41(1), e13091. https://doi.org/10.1111/jcal.13091
• Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), Article 410. https://doi.org/10.3390/educsci13040410
• Ma, J., Wang, P., Li, B., Wang, T., Pang, X. S., & Wang, D. (2025). Exploring user adoption of ChatGPT: A technology acceptance model perspective. International Journal of Human-Computer Interaction, 41(2), 1431-1445. https://doi.org/10.1080/10447318.2024.2314358
• Martino, A. M., & Maher, C. A. (1999). Teacher questioning to promote justification and generalization in mathematics: What research practice has taught us. The Journal of Mathematical Behavior, 18(1), 53-78. https://doi.org/10.1016/S0732-3123(99)00017-6
• McCarthy, P., Sithole, A., McCarthy, P., Cho, J.-p., & Gyan, E. (2016). Teacher questioning strategies in mathematical classroom discourse: A case study of two grade eight teachers in Tennessee, USA. Journal of Education and Practice, 7(21), 80-89.
• Moorhouse, B. L., Ho, T. Y., Wu, C., & Wan, Y. (2025). Preservice language teachers’ task-specific large language model prompting practices. RELC Journal. https://doi.org/10.1177/00336882251313701
• Moyer, P. S., & Milewicz, E. (2002). Learning to question: Categories of questioning used by preservice teachers during diagnostic mathematics interviews. Journal of Mathematics Teacher Education, 5, 293-315. https://doi.org/10.1023/A:1021251912775
• National Council of Teachers of Mathematics. (2014). Principles to actions: Ensuring mathematical success for all. Reston, VA.
• Natow, R. S. (2020). The use of triangulation in qualitative studies employing elite interviews. Qualitative Research, 20(2), 160-173. https://doi.org/10.1177/1468794119830
• Nazari, M., & Saadi, G. (2024). Developing effective prompts to improve communication with ChatGPT: a formula for higher education stakeholders. Discover Education, 3(1), Article 45. https://doi.org/10.1007/s44217-024-00122-w
• Nyaaba, M., Shi, L., Nabang, M., Zhai, X., Kyeremeh, P., Ayoberd, S. A., & Akanzire, B. N. (2024). Generative AI as a learning buddy and teaching assistant: Preservice teachers’ uses and attitudes. arXiv. https://doi.org/10.48550/arXiv.2407.11983
• Park, J., & Choo, S. (2024). Generative AI prompt engineering for educators: Practical strategies. Journal of Special Education Technology, 40(3), 411-417. https://doi.org/10.1177/01626434241298954
• Saif, N., Khan, S. U., Shaheen, I., ALotaibi, F. A., Alnfiai, M. M., & Arif, M. (2024). Chat-GPT; validating technology acceptance model (TAM) in education sector via ubiquitous learning mechanism. Computers in Human Behavior, 154, Article 108097. https://doi.org/10.1016/j.chb.2023.108097
• Sawyer, A. G. (2024). Artificial intelligence chatbot as a mathematics curriculum developer: Discovering preservice teachers’ overconfidence in ChatGPT. International Journal on Responsibility, 7(1), Article 1. https://doi.org/10.62365/2576-0955.1106
• Shanuka, K. A. A., Wijayanayake, J., & Vidanage, K. (2024). Systematic literature review on analyzing the impact of prompt engineering on efficiency, code quality, and security in crud application development. Journal of Desk Research Review and Analysis, 2, 235-249. https://doi.org/10.4038/jdrra.v2i1.57
• Shell Centre for Mathematical Education. (n.d.). https://www.mathshell.org/
• Smith, M., Steele, M. D., & Raith, M. L. (2017). Taking action: Implementing the effective mathematics teaching practices in grades 6-8. National Council of Teachers of Mathematics.
• Son, T., Yeo, S., & Lee, D. (2024). Exploring elementary preservice teachers’ responsive teaching in mathematics through an artificial intelligence-based chatbot. Teaching and Teacher Education, 146, Article 104640. https://doi.org/10.1016/j.tate.2024.104640
• Sukirman, N., Supriyanto, E., Setiawan, A., Chamsudin, A., Yuliana, I., & Wantoro, J. (2024). Exploring student perceptions and acceptance of CHATGPT in enhanced AI-Assisted Learning. International Conference on Smart Computing, IoT and Machine Learning, SIML 2024. https://doi.org/10.1109/siml61815.2024.10578145
• Supriyanto, E., Setiawan, A., Chamsudin, A., Yuliana, I., & Wantoro, J. (2024). Exploring student perceptions and acceptance of ChatGPT in enhanced AI-assisted learning. In Proceedings of the 2024 International Conference on Smart Computing, IoT and Machine Learning (pp. 291-296). IEEE. https://doi.org/10.1109/SIML61815.2024.10578145
• Tan, X., Cheng, G., & Ling, M. H. (2024). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8, Article 100355. https://doi.org/10.1016/j.caeai.2024.100355
• Tiwari, C. K., Bhat, M. A., Khan, S. T., Subramaniam, R., & Khan, M. A. I. (2023). What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT. Interactive Technology and Smart Education, 21(3), 333-355. https://doi.org/10.1108/itse-04-2023-0061
• Tunjera, N., & Chigona, A. (2023). Investigating effective ways to use artificial intelligence in teacher education. In Proceedings of the European Conference on E-Learning (pp. 331-340). https://doi.org/10.34190/ecel.22.1.1625
• United States Department of Education, Office of Educational Technology (2023). Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations. United States Department of Education, Office of Educational Technology.
• Vaismoradi, M., Turunen, H., & Bondas, T. (2013). Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & health sciences, 15(3), 398-405. https://doi.org/10.1111/nhs.12048
• Yılmaz, Z., Galanti, T. M., Naresh, N., & Kanbir, S. Exploring the interactions among instructor, prospective teachers and AI in facilitating mathematics learning. School Science and Mathematics. https://doi.org/10.1111/ssm.18341
• 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, Article 39. https://doi.org/10.1186/s41239-019-0171-0
• Zhai, X. (2024). Transforming teachers’ roles and agencies in the era of generative AI: Perceptions, acceptance, knowledge, and practices. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-024-10174-0
• Zhang, N., Ke, F., Dai, C. P., Southerland, S. A., & Yuan, X. (2024). Seeking to support preservice teachers’ responsive teaching: Leveraging artificial intelligence-supported virtual simulation. British Journal of Educational Technology, 56(3), 1148-1169. https://doi.org/10.1111/bjet.13522
• Zhuang, Y. (2025). Lessons from using ChatGPT in calculus: Insights from two contrasting cases. Journal of Formative Design in Learning, 9, 25-35. https://doi.org/10.1007/s41686-025-00098-2
• Zhuang, Y & Zhang, S (2024a). Exploring student engagement with ChatGPT in calculus learning: a case study on contrasting perceptions. In K. W. Kosko, J. Caniglia, S. A. Courtney, M. Zolfaghari, & G. A. Morris (Eds.), Proceedings of the forty-sixth annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (pp. 1714-1719). Kent State University. https://doi.org/10.51272/pmena.46.2024
• Zhuang, Y. & Zhang, S. (2024b). Integrating AI in method course: Customizing ChatGPT to simulate student responses. Association of Mathematics Teacher Educators (AMTE)’s Connections, 34(2). https://amte.net/connections/2024/12/integrating-ai-method-course-customizing-chatgpt-simulate-student-responses
• Zhuang, Y., & Zhang, S. (under review). Integrating ChatGPT in mathematics teacher education: AI-based simulation role-playing to support practice-based teaching. Manuscript submitted for publication to the International Journal of Artificial Intelligence in Education.

APA

Zhuang, Y., & Zhang, S. (2025). Pre-service mathematics teachers’ perceptions of using GenAI for practicing teacher questioning: A semester-long study. Eurasia Journal of Mathematics, Science and Technology Education, 21(9), em2689. https://doi.org/10.29333/ejmste/16764

Vancouver

Zhuang Y, Zhang S. Pre-service mathematics teachers’ perceptions of using GenAI for practicing teacher questioning: A semester-long study. EURASIA J Math Sci Tech Ed. 2025;21(9):em2689. https://doi.org/10.29333/ejmste/16764

AMA

Zhuang Y, Zhang S. Pre-service mathematics teachers’ perceptions of using GenAI for practicing teacher questioning: A semester-long study. EURASIA J Math Sci Tech Ed. 2025;21(9), em2689. https://doi.org/10.29333/ejmste/16764

Chicago

Zhuang, Yuling, and Si Zhang. "Pre-service mathematics teachers’ perceptions of using GenAI for practicing teacher questioning: A semester-long study". Eurasia Journal of Mathematics, Science and Technology Education 2025 21 no. 9 (2025): em2689. https://doi.org/10.29333/ejmste/16764

Harvard

Zhuang, Y., and Zhang, S. (2025). Pre-service mathematics teachers’ perceptions of using GenAI for practicing teacher questioning: A semester-long study. Eurasia Journal of Mathematics, Science and Technology Education, 21(9), em2689. https://doi.org/10.29333/ejmste/16764

MLA

Zhuang, Yuling et al. "Pre-service mathematics teachers’ perceptions of using GenAI for practicing teacher questioning: A semester-long study". Eurasia Journal of Mathematics, Science and Technology Education, vol. 21, no. 9, 2025, em2689. https://doi.org/10.29333/ejmste/16764