Curriculum Innovation: Integrating AI Literacy and Tools into Science Teacher Education and Classroom Practice
1 Department of Physical Health Education, Yusif Maitama Sule College of Education and Advance Studies, Ghari, Kano State, Nigeria
2 Department of Chemistry, Yusif Maitama Sule College of Education and Advance Studies, Ghari, Kano State, Nigeria
3 Department of Primary Education Studies, Yusif Maitama Sule College of Education and Advance Studies, Ghari, Kano State, Nigeria
* Corresponding author: kamaluubamuhammad@gmail.com
2 Department of Chemistry, Yusif Maitama Sule College of Education and Advance Studies, Ghari, Kano State, Nigeria
3 Department of Primary Education Studies, Yusif Maitama Sule College of Education and Advance Studies, Ghari, Kano State, Nigeria
* Corresponding author: kamaluubamuhammad@gmail.com
Abstract
Artificial intelligence (AI) is transforming
educational systems globally, creating an urgent need for science teacher
education programmes to equip pre-service and in-service teachers with AI
literacy and the pedagogical competencies required to integrate AI tools into
science teaching and learning. However, limited curriculum innovation in many
teacher education programmes has hindered the effective adoption of AI -driven
instructional practices. This study examined curriculum innovation through the
integration of AI literacy and AI-powered tools into science teacher education
and classroom practice. Specifically, it investigated the extent of AI
integration in teacher education curricula, science teachers' AI literacy,
factors influencing classroom implementation, and strategies for effective
curriculum reform. A mixed-methods research design was adopted. The study involved
320 pre-service and in-service science teachers and 25 science teacher
educators selected through stratified
random and purposive sampling techniques. Data were collected using a validated
AI Literacy and Curriculum Innovation Questionnaire (Cronbach's α = .91) and
semi -structured interview guides. Quantitative data were analysed using
descriptive statistics and multiple regression, while qualitative data were
analysed thematically. Findings indicated that AI literacy significantly
predicted teachers' intention to integrate AI tools into science instruction (β
= .63, p < .001), while institutional support and professional development
emerged as critical facilitators. Qualitative findings further revealed that
curriculum redesign, continuous capacity building, and ethical AI training are
essential for sustainable implementation. The study concludes that embedding AI
literacy within science teacher education curricula is fundamental to preparing
future-ready science educators and recommends policy-driven curriculum reforms
and sustained professional development initiatives
Keywords
artificial intelligence literacy
curriculum innovation
science teacher education
science classroom practice
teacher professional development
educational technology
AI integration
References
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
- Celik, I. (2023). Towards intelligent -TPACK: An empirical study on teachers' professional knowledge for artificial intelligence integration. Education and Information Technologies, 28(9), 11389–11412. https://doi.org/10.1007/s10639-023-11647-4
- Chiu, T. K. F. (2023). The impact of generative AI on education: A systematic review. Interactive Learning Environments, 31(10), 1–18. https://doi.org/10.1080/10494820.2023.2233590
- Field, A. (2024). Discovering statistics using IBM SPSS Statistics (6th ed.). SAGE Publications.
- Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
- Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727
- Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x OECD. (2024). Artificial intelligence and the future of skills and education. OECD Publishing. https://doi.org/10.1787
- Ornstein, A. C., & Hunkins, F. P. (2023). Curriculum: Foundations, principles, and issues (8th ed.). Pearson.
- Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson. UNESCO. (2021). Recommendation on the ethics of artificial intelligence . UNESCO . https://unesdoc.unesco.org/ UNESCO. (2023). Guidance for generative AI in education and research . UNESCO. https://unesdoc.unesco.org/ UNESCO. (2024). AI competency fr ameworks for teachers . UNESCO. https://unesdoc.unesco.org/
- 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(39), 1–27. https://doi.org/10.1186/s41239-019-0171-0
How to Cite
Muhammad, K. U., Ado, A. A., Salihu, A. A., & Gambo, S. B. (2026). Curriculum Innovation: Integrating AI Literacy and Tools into Science Teacher Education and Classroom Practice. Journal of Studies in Science and Mathematics Education, 6(1), 402–413. https://doi.org/10.67203/jossme.2026.6jw1uqbk
K. U. Muhammad, A. A. Ado, A. A. Salihu, and S. B. Gambo, "Curriculum Innovation: Integrating AI Literacy and Tools into Science Teacher Education and Classroom Practice," Journal of Studies in Science and Mathematics Education, vol. 6, no. 1, pp. 402–413, August 2026. doi: 10.67203/jossme.2026.6jw1uqbk