References
Agbidye, A., & Akwaji, N. I. (2026). Effect of Think-Pair-Share learning strategy with audio-visual aids on Basic 8 students’ performance in Basic Science in Ogoja, Cross River State. BSU Journal of Science, Mathematics and Computer Education, 6(1), 53-64.
Agbidye, A., & Imoko, M. (2025). Effect of self-regulated learning strategy on secondary school students’ acquisition of science process skills in Biology in Makurdi, Benue State. BSU Journal of Education, 25(2), 151–160. https://doi.org/10.60787/bsuje.vol25no2.47
Agbidye, A., Achor, E. E., & Ogbeba, J. (2019). Problem-based learning strategy in Upper Basic Two and Science students’ cognitive load in Makurdi, Nigeria. International Centre for Science, Humanities and Education Research Journal, 4(2), 92–99.
Agbidye, A., Ayua, G. A., Gamat, G. B., & Ikyernum, G. S. (2023b). Impact of improvised materials on creative-thinking–abstractness of title in Basic Science among secondary school students in Makurdi, Benue State. Zamfara International Journal of Education, 3(4), 151-158.
Agbidye, A., Tartenger, T. T., & Kpiranyam, F. S. (2025). Effect of critical exploration strategy on students’ academic achievement in Basic Science in Makurdi, Benue State. African Journal of Science, Technology and Mathematics Education, 11(1), 268–276.
Agbidye, A., Tartenger, T. T., Ayua, G. A., & Akpoughol, T. V. (2023a). Effect of anchored instruction on students’ performance in Basic Science at Upper Basic schools in Makurdi. Journal of Science Teachers Association of Nigeria, 57,
Almasri, F. (2024). Exploring the impact of artificial intelligence in teaching and learning of science: A systematic review of empirical research. Research in Science Education, 54, 977–997. https://doi.org/10.1007/s11165-024-10176-3
Anwam, T., Agajah, M.E., Kpiranyam, F.S., & Fakaa, S.G. (2026). Effects of concept mapping and expository instructional strategies on students’ interest and performance in Basic Science in Benue State, Nigeria. Benue Journal of Research in Science and Science Education, 2(1), 1-11.
Awofala, A. O. A., Bazza, M. B., Ojo, O. T., Oladipo, A. J., Olabiyi, O. S., & Arigbabu, A. A. (2025). Structural equation modeling of Nigerian science, technology and mathematics teachers’ adoption of educational artificial intelligence tools. Digital Education Review, 46, 51–64. https://doi.org/10.1344/der.2025.46.51-64
Ayanwale, M. A., Sanusi, I. T., Adelana, O. P., Aruleba, K. D., & Oyelere, S. S. (2022). Teachers’ readiness and intention to teach artificial intelligence in schools. Computers and Education: Artificial Intelligence, 3, 100099. https://doi.org/10.1016/j.caeai.2022.100099
Bower, M., Torrington, J., Lai, J. W. M., Petocz, P., & Alfano, M. (2024). How should we change teaching and assessment in response to increasingly powerful generative artificial intelligence? Outcomes of the ChatGPT teacher survey. Education and Information Technologies, 29(12), 15403–15439. https://doi.org/10.1007/s10639-023-12405-0
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, 616–630. https://doi.org/10.1007/s11528-022-00715-y
Cheah, Y. H., Lu, J., & Kim, J. (2025). Integrating generative artificial intelligence in K-12 education: Examining teachers’ preparedness, practices, and barriers. Computers and Education: Artificial Intelligence, 8, Article 100363. https://doi.org/10.1016/j.caeai.2025.100363
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118
David, E. T., Nnaemeka, G. U., Akuneme, C. C., & Nwosu, C. K. (2025). AI in education: A cross-sectional study on teachers’ attitudes towards AI integration and usage in secondary schools. Journal of Theoretical and Empirical Studies in Education, Special Issue.
Erümit, A. K., & Özdemir Sarıalioğlu, R. (2025). Artificial intelligence in science and chemistry education: A systematic review. Discover Education, 4, 178. https://doi.org/10.1007/s44217-025-00622-3
Fakaa, G. S., Kpiranyam, F. S., & Ajio, C. E. (2026a). Effect of model-aided inquiry-based learning on academic performance in Basic Science among students with varied reasoning abilities in Benue State, Nigeria. Federal University Gusau Faculty of Education Journal, 3(3), 78–88. https://doi.org/10.64348/zije.2026569
Fakaa, S. G., Kpiranyam, F. S., Ogbilikwe, B. C., & Abah, J. C. (2026a). Blended-hybrid learning model’s effect on senior secondary students’ holistic development and academic performance in Biology in Benue State, Nigeria. BSU Journal of Science, Mathematics and Computer Education, 6(1), 99-113.
Garofalo, S. G., & Farenga, S. J. (2025). Science teacher perceptions of the state of knowledge and education at the advent of generative artificial intelligence popularity. Science & Education, 34, 893–912. https://doi.org/10.1007/s11191-024-00534-y
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., Pfeiffer, F., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kpiranyam, F. S., Abaver, S. M., Ogor, C. E., & Ode, J. O. (2024a). Science and mathematics teachers’ competency in evaluating students’ affective and psychomotor domains of senior secondary classroom instruction in Benue State. UNIZIK Journal of STM Education, 7(1), 7–18.
Kpiranyam, F. S., Achor, E. E., & Fakaa, S. G. (2024b). Scaling up emotional intelligence and critical thinking of students in Biology using concept mapping strategies. FNAS Journal of Mathematics and Science Education, 5(4), 92–101.
Kpiranyam, F. S., Agbidye, A., & Ukor, D. D. (2022). Comparative effects of student team achievement division and assertive questioning instructional strategies on Nigerian students’ critical thinking and performance in Biology. Journal of the International Centre for Science, Humanities and Education Research, 5(2), 98–108.
Kpiranyam, F. S., Agogo, P. O., & Ode, J. O. (2024c). Use of scaffolding-enriched diagnostic assessment techniques and secondary students’ test anxiety in Biology. International Centre for Science, Humanities & Education Research Journal, 5(5), 26-41.
Lee, S. J., & Kwon, K. (2024). A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes. Computers and Education: Artificial Intelligence, 6, 100211. https://doi.org/10.1016/j.caeai.2024.100211
Liu, X., & Zhong, B. (2024). A systematic review on how educators teach AI in K-12 education. Educational Research Review, 45, 100642. https://doi.org/10.1016/j.edurev.2024.100642
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. Mouta, A., Pinto-Llorente, A. M., & Torrecilla-Sánchez, E. M. (2024). Uncovering blind spots in education ethics: Insights from a systematic literature review on artificial intelligence in education. International Journal of Artificial Intelligence in Education, 34, 1166–1205. https://doi.org/10.1007/s40593-023-00384-9
Park, J., Teo, T. W., Teo, A., Chang, J., Huang, J. S., & Koo, S. (2023). Integrating artificial intelligence into science lessons: Teachers’ experiences and views. International Journal of STEM Education, 10, 61. https://doi.org/10.1186/s40594-023-00454-3
Sanusi, I. T., Ayanwale, M. A., & Chiu, T. K. F. (2024). Investigating the moderating effects of social good and confidence on teachers’ intention to prepare school students for artificial intelligence education. Education and Information Technologies, 29, 273–295. https://doi.org/10.1007/s10639-023-12250-1
Sperling, K., Stenberg, C.-J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6, 100169. https://doi.org/10.1016/j.caeo.2024.100169
Taheri, R., Nazemi, N., Pennington, S. E., Clark, J. A., & Dadgostari, F. (2025). Factors influencing educators' AI adoption: A grounded meta-analysis review. Computers and Education: Artificial Intelligence, 9, 100464. https://doi.org/10.1016/j.caeai.2025.100464
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10, 15. https://doi.org/10.1186/s40561-023-00237-x
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. https://doi.org/10.1186/s41239-019-0171-0
Zhang, P., & Tur, G. (2024). A systematic review of ChatGPT use in K-12 education. European Journal of Education, 59, e12599. https://doi.org/10.1111/ejed.12599