Development and Validation of an AI-TPACK Instrument for Pre-Service Elementary Teachers in Mathematics Learning

Authors

  • ERNAWATI ERNAWATI Faculty of Teacher Training and Education, Universitas Muhammadiyah Makassar
  • Muh Alka Faculty of Teacher Training and Education, Universitas Muhammadiyah Makassar

DOI:

https://doi.org/10.31605/cjee.v4i1.6503

Keywords:

AI-TPACK, Development Instrument, PGSD Students, Mathematics Learning, Reliability

Abstract

This study aims to develop and validate an AI-TPACK instrument for pre-service primary school teachers in mathematics learning. The research employed a Research and Development (R&D) design using the 4D model, consisting of define, design, develop, and disseminate stages. The participants were students of the Primary School Teacher Education Program who had taken mathematics learning courses. Data were collected through expert validation forms and instrument trial questionnaires, and were analyzed using content validity, construct validity, reliability testing, and item analysis. The findings indicated that the developed AI-TPACK instrument demonstrated good content validity, adequate construct validity (KMO = 0.86; factor-loading range = 0.54–0.83) , and high reliability (Cronbach’s alpha = 0.92). The instrument is considered feasible for measuring pre-service primary school teachers’ competence in integrating artificial intelligence, pedagogy, technology, and mathematical content in instructional practices. Therefore, the instrument may serve as a valid and reliable tool for research and instructional evaluation in strengthening teacher competencies in the digital era

Downloads

Download data is not yet available.

References

Adirakasiwi, A., Priatna, N., & Fatimah, S. (2025). Investigating Prospective Teachers’ Mathematical Technology Understanding Within the TPACK Framework. Kreano, Jurnal Matematika Kreatif-Inovatif, 16(2), 275–287. https://doi.org/10.15294/kreano.v16i2.5934

Agustina, R. H., Alfiyanto, A., Suhendri, S., Wihardjo, E., & Pranajaya, S. A. (2025). Optimizing Learning: Adaptive Technology Integration in Indonesia’s Education System. Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara, 16(2), 304–317. https://doi.org/10.37640/jip.v16i2.2293

Bognar, B., Mužar Horvat, S., & Jukić Matić, L. (2025). Characteristics of Effective Elementary Mathematics Instruction: A Scoping Review of Experimental Studies. Education Sciences, 15(1), 76. https://doi.org/10.3390/educsci15010076

Budirahayu, T., & Saud, M. (2023). Pedagogical innovation and teacher collaborations in supporting student learning success in Indonesia. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2271713

Cao, X., Huang, Z., Li, M., & He, T. (2026). Teachers’ AI-TPACK as a tangible outcome in the digital transformation of education: A machine learning-based multilevel approach. Teaching and Teacher Education, 169, 105270. https://doi.org/10.1016/j.tate.2025.105270

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

Costa, N., Pereira Junior, C., Araujo, R., & Fernandes, M. (2019). Application of AI Planning in the Context of e-Learning. 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), 57–59. https://doi.org/10.1109/ICALT.2019.00021

Djulia, E., Brata, W. W. W., & Amrizal. (2022). Pre-service biology students technological pedagogical and content knowledge (TPCK) as prerequisite for professional biology teacher. 050008. https://doi.org/10.1063/5.0121861

Dockens, A. L., & Shelton, K. (2025). AI for Formative and Summative Assessment (pp. 353–386). https://doi.org/10.4018/979-8-3373-5102-5.ch013

Domenech, N. V., Villavicencio, W. R., Giraldo de López, M., & Carrasquero Ferrer, S. J. (2025). Ética en el Desafío de la Implementación de IA dentro del Ámbito Educativo. 141–149. https://doi.org/10.54808/CICIC2025.01.141

Gorgun, G., Bulut, O., & Tan, B. (2025). Designing Classroom Assessments with Generative AI. In Teaching with Artificial Intelligence (pp. 162–180). Routledge. https://doi.org/10.4324/9781003685241-14

Habibi, A., Yusop, F. D., & Razak, R. A. (2020). The role of TPACK in affecting pre-service language teachers’ ICT integration during teaching practices: Indonesian context. Education and Information Technologies, 25(3), 1929–1949. https://doi.org/10.1007/s10639-019-10040-2

Hasanović, J., & Masić, F. (2026). The Role of Artificial Intelligence in the Process of Creating Teaching Materials. 2026 30th International Conference on Information Technology (IT), 1–6. https://doi.org/10.1109/IT67293.2026.11435767

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign.

Mansour, N., Said, Z., Çevik, M., & Abu-Tineh, A. (2024). Science and Mathematics Teachers’ Integration of TPACK in STEM Subjects in Qatar: A Structural Equation Modeling Study. Education Sciences, 14(10), 1138. https://doi.org/10.3390/educsci14101138

Antonio, M. S. M., Sánchez Carlos Alberto, F., & Oscar, M. R. (2024). AI-Driven Innovations in Higher Education: Improving Lesson Planning and Teaching Quality at UABC. 2024 IEEE 42nd Central America and Panama Convention (CONCAPAN XLII), 1–6. https://doi.org/10.1109/CONCAPAN63470.2024.10933906

Ning, Y., Zhang, C., Xu, B., Zhou, Y., & Wijaya, T. T. (2024). Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements. Sustainability, 16(3), 978. https://doi.org/10.3390/su16030978

Perkins, M., Furze, L., Roe, J., & MacVaugh, J. (2024). The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment. Journal of University Teaching and Learning Practice, 21(06). https://doi.org/10.53761/q3azde36

Rajendran, R. K., V., A. I., & T., M. P. (2024). Specializing Instruction With the Use of Artificial Intelligence (pp. 245–256). https://doi.org/10.4018/979-8-3693-5538-1.ch009

Rakerda, H., Lathif, M., Amalia, R., Bowo, T. A., & Afandi, R. A. (2025). From Knowledge to Practice: Investigating the TPACK Integration of Indonesian Pre-Service EFL Teachers. Voices of English Language Education Society, 9(1), 71–85. https://doi.org/10.29408/veles.v9i1.29414

Salendab, F. A., Cogo, D. A., Catipay, A. Z., & Millendez, G. J. T. (2025). The Role of Artificial Intelligence (AI) in Personalized Learning and Adaptive Assessments (pp. 93–122). https://doi.org/10.4018/979-8-3373-2185-1.ch004

Segal, R., & Biton, Y. (2024). The Contribution That Utilizing Generative AI for Problem Posing Makes to Pre-Service High School Mathematics Teachers’ TPACK. International Journal of Education in Mathematics, Science and Technology, 1559–1582. https://doi.org/10.46328/ijemst.4591

Segal, R., Biton, Y., & Alush, K. (2025). How Utilizing Generative AI When Addressing Pedagogical and Mathematical Events Contributes to Mathematics Teacher Educators’ TPACK (Technological Pedagogical Content Knowledge). International Journal of Education in Mathematics, Science and Technology, 13(4), 895–913. https://doi.org/10.46328/ijemst.4928

Setiyawan, A., Soeharto, S., Wijaya, T. T., Korenova, L., & Lavicza, Z. (2025). Measuring Teachers’ competencies for AI integration: Development and validation of the AI-TPACK in vocational education. Computers and Education Open, 9, 100319. https://doi.org/10.1016/j.caeo.2025.100319

Sugiyono, P. D. (2019). metode penelitian pendidikan (kuantitatif, kualitatif, kombinasi, R&D dan penelitian pendidikan). Metode Penelitian Pendidikan, 67(2019), 18.

Suwono, H., & Prasetyo, S. D. (2026). Enhancing teacher competencies through innovative professional development practices focusing on sustainable learning environments. Discover Education, 5(1), 419. https://doi.org/10.1007/s44217-026-01451-8

Vaghasiya, N., Zalavadia, K., & Vyas, A. (2026). AI-Based Quiz Generation Using ChatGPT (pp. 377–389). https://doi.org/10.1007/978-981-96-9196-8_25

Wang, S., & Sitthiworachart, J. (2025). Enhancing preservice teacher education: Integrating assistive technology and UDL within the TPACK framework: A systematic literature review. Edelweiss Applied Science and Technology, 9(4), 2706–2721. https://doi.org/10.55214/25768484.v9i4.6642

Wibowo, S., Yuniawatika, Murti, R. C., Wuryandani, W., & Purnomo, Y. W. (2024). Skills in Preparing Mathematics Teaching Modules and Their Correlation with Skills in Providing Learning Variations for Prospective Elementary School Teachers. MIMBAR PGSD Undiksha, 12(1), 119–129. https://doi.org/10.23887/jjpgsd.v12i1.62475

Wu, H., Ning, Y., Chang, H., Shi, M., & Zhang, W. (2026). AI-TPACK Competencies in Mathematical Problem-Posing Teaching: Measurement Instrument Development and Latent Profile Analysis of Pre-Service Teachers. International Journal of Science and Mathematics Education, 24(5), 41. https://doi.org/10.1007/s10763-026-10666-y

Xie, M., & Luo, L. (2026). Assessing AI-TPACK readiness in mathematics teacher education: The role of self-efficacy and teaching beliefs. Computers and Education Open, 10, 100375. https://doi.org/10.1016/j.caeo.2026.100375

Downloads

0 Views
0 Downloads
Data indexed from system logs

Published

2026-06-08

How to Cite

ERNAWATI, E., & Alka, M. (2026). Development and Validation of an AI-TPACK Instrument for Pre-Service Elementary Teachers in Mathematics Learning . Celebes Journal of Elementary Education, 4(1), 185–195. https://doi.org/10.31605/cjee.v4i1.6503

Similar Articles

<< < 1 2 

You may also start an advanced similarity search for this article.