Acknowledgement
This paper was written with support from the Ministry of Education's National University Support Project.
References
- AlKanaan, H. M. N. (2022). Awareness regarding the implication of artificial intelligence in science education among pre-service science teachers. International Journal of Instruction, 15(3), 895-912. https://doi.org/10.29333/iji.2022.15348a
- Athanasiou, L., Mikropoulos, T. A., & Mavridis, D. (2019). Robotics interventions for improving educational outcomes: A meta-analysis. In Tsitouridou, M., A. Diniz, J., Mikropoulos, T. (Eds.), Technology and Innovation in Learning, Teaching and Education: First International Conference, TECH-EDU 2018, Thessaloniki, Greece, June 20-22, 2018, (pp. 91-102). Springer International Publishing. https://doi.org/10.1007/978-3-030-20954-4_7
- Attwood, A. I., Bruster, B. G., & Bruster, B. G. (2020). An exploratory study of preservice teacher perception of virtual reality and artificial intelligence for classroom management instruction. Srate Journal, 29(2), 1-9.
- Barkatsas, A. T., & Malone, J. (2005). A typology of mathematics teachers' beliefs about teaching and learning mathematics and instructional practices. Mathematics Education Research Journal, 17(2), 69-90. https://doi.org/10.1007/bf03217416
- Bush, J. B. (2021). Software-based intervention with digital manipulatives to support student conceptual understandings of fractions. British Journal of Educational Technology, 52(6), 2299-2318. https://doi.org/10.1111/bjet.13139
- Celik, I., Dindar, M., Muukkonen, H., & Jarvela, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. Tech Trends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y
- Choi, S., Jang, Y., & Kim, H. (2023). Influence of pedagogical beliefs and perceived trust on teachers' acceptance of educational artificial intelligence tools. International Journal of Human-Computer Interaction, 39(4), 910-922. https://doi.org/10.1080/10447318.2022.2049145
- Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(1), 1-9. https://doi.org/10.4135/9781412995627.d8
- Cross, D. I. (2009). Alignment, cohesion, and change: Examining mathematics teachers' belief structures and their influence on instructional practices. Journal of Mathematics Teacher Education, 12(5), 325-346. https://doi.org/10.1007/s10857-009-9120-5
- 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
- DeVellis, R. F. (2017). Scale development theory and applications. SAGE.
- Drijvers, P. (2015). Digital technology in mathematics education: Why it works (or doesn't). In S. Cho (Ed.), Selected regular lectures from the 12th International Congress on Mathematical Education (pp. 135-151). Springer. https://doi.org/10.1007/978-3-319-17187-6_8
- Francis, K., Rothschuh, S., Poscente, D., & Davis, B. (2021). Malleability of spatial reasoning with short-term and long-term robotics interventions. Technology, Knowledge and Learning, 27(3), 927-956. https://doi.org/10.1007/s10758-021-09520-7
- Furinghetti, F., & Pehkonen, E. (2002). Rethinking characterizations of beliefs. In GC. Leder, E. Pehkonen, & G. Torner (Eds.), Beliefs: A hidden variable in mathematics education? (pp. 39-57). Dordrecht: Springer Netherlands. https://doi.org/10.1007/0-306-47958-3_3
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Pearson. https://doi.org/10.1007/978-3-030-06031-2_16
- Haseski, H. I. (2019). What do Turkish pre-service teachers think about artificial intelligence?. International Journal of Computer Science Education in Schools, 3(2), 3-23. https://doi.org/10.21585/ijcses.v3i2.55
- Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104-121. https://doi.org/10.1177/109442819800100106
- Hwang, G. J., & Tu, Y. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
- Lee, D., & Yeo, S. (2022). Developing an AI-based chatbot for practicing responsive teaching in mathematics. Computers & Education, 191, 104646. https://doi.org/10.1016/j.compedu.2022.104646
- Li, M., Noori, A. Q., & Li, Y. (2023). Development and validation of the secondary mathematics teachers' TPACK scale: A study in the Chinese context. Eurasia Journal of Mathematics, Science and Technology Education, 19(11), em2350. https://doi.org/10.29333/ejmste/13671
- Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 1-18. https://doi.org/10.1037/a0037123
- Mangera, E., & Supratno, H. (2023). Exploring the relationship between transhumanist and artificial intelligence in the education context: Teaching and learning process at tertiary education. Pegem Journal of Education and Instruction, 13(2), 35-44. https://doi.org/10.47750/pegegog.13.02.05
- McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 575-596). Macmillan.
- MOE (2021). AI lessons at school. Author.
- MOE (2022). 2022 revised mathematics curriculum. Author.
- Moltudal, S., Hoydal, K. L., & Krumsvik, R. J. (2020). Glimpses into real-life introduction of adaptive learning technology: A mixed methods research approach to personalised pupil learning. Designs for Learning, 12(1), 13-28. https://doi.org/10.16993/dfl.138
- MSICT (2019). National strategies for Artificial Intelligence. Author.
- NCTM. (2014). Principles to actions: Ensuring mathematical success for all. Author.
- Ndlovu, M., Ramdhany, V., Spangenberg, E. D., & Govender, R. (2020). Preservice teachers' beliefs and intentions about integrating mathematics teaching and learning ICTs in their classrooms. ZDM, 52, 1365-1380. https://doi.org/10.1007/s11858-020-01186-2
- Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.
- Philipp, R. A. (2007). Mathematics teachers' beliefs and affect. In F. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 257-315). NCTM.
- Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards artificial intelligence scale. Computers in Human Behavior Reports, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
- Shin, D. J. (2020). An analysis prospective mathematics teachers' perception on the use of artificial intelligence in mathematics education. Communications of Mathematical Education, 34(3), 215-234.
- Tatto, M. T., Schwille, J., Senk, S. L., Ingvarson, L., Rowley, G., Peck, R., & Reckase, M. (2012). Policy, practice, and readiness to teach primary and secondary mathematics in 17 countries: Findings from the IEA Teacher Education and Development Study in Mathematics (TEDS-M). International Association for the Evaluation of Educational Achievement. https://doi.org/10.1086/674063
- Thurm, D., & Barzel, B. (2020). Effects of a professional development program for teaching mathematics with technology on teachers' beliefs, self-efficacy and practices. ZDM, 52, 1411-1422. https://doi.org/10.1007/s11858-020-01158-6
- Thurm, D., & Barzel, B. (2022). Teaching mathematics with technology: A multidimensional analysis of teacher beliefs. Educational Studies in Mathematics, 109, 41-63. https://doi.org/10.1007/s10649-021-10072-x
- Wang, Y. Y., & Chuang, Y. W. (2023). Artificial intelligence self-efficacy: Scale development and validation. Education and Information Technologies. Online first article. https://doi.org/10.1007/s10639-023-12015-w
- Warfield, J., Wood, T., & Lehman, J. D. (2005). Autonomy, beliefs and the learning of elementary mathematics teachers. Teaching and Teacher Education, 21(4), 439-456. https://doi.org/10.1016/j.tate.2005.01.011
- Yang, X., & Leung, F. K. (2015). The relationships among pre-service mathematics teachers' beliefs about mathematics, mathematics teaching, and use of technology in China. Eurasia Journal of Mathematics, Science and Technology Education, 11(6), 1363-1378. https://doi.org/10.12973/eurasia.2015.1393a
- Yeo, S., Rutherford, T., & Campbell, T. (2022). Understanding elementary mathematics teachers' intention to use a digital game through the technology acceptance model. Education and Information Technologies, 27(8), 11515-11536. https://doi.org/10.1007/s10639-022-11073-w