Research Article

Effect of AI-enhanced Inquiry Based Learning on Scientific Reasoning Ability and Achievement in Photosynthesis among Basic Science Students in Zaria, Kaduna State

1 Federal University of Education Zaria
* Corresponding author: aminayakubu12@gmail.com
Published: Oct, 2026
Pages: 103–112
Views: 1
Downloads: 0

Abstract

ABSTRACT The study investigated the effect of AI-Enhanced Inquiry-Based Learning on scientific reasoning ability and academic performance of Basic Science students in Photosynthesis concept in Zaria, Kaduna State, Nigeria. A quasi-experimental, pre-test-post-test design with non-equivalent control group was employed with two intact classes of 156 students from a population of 30,840 students from public secondary schools in Zaria Local Government Area. A total of 79 students in the experimental group were taught Photosynthesis using the AI-Enhanced Inquiry Based Learning platform, while 77 students in the control group were taught the same topic using conventional lecture method. Two validated instruments; the Scientific Reasoning Test (SRT) and the Photosynthesis Achievement Test (PAT) were used for data collection. Reliability was determined using test re-test method and data was analyzed using Pearson Moment Correlation Coefficient statistics, yielding a reliability coefficient of 0.79 and 0.82 respectively. Data were analyzed using mean, standard deviation, t-test and 2 × 2 factorial ANCOVA, with pre-test scores as covariates. Results obtained, showed that the treatment effect on students' scientific reasoning ability was statistically significant (p = 0.01), there was a statistically significant treatment effect on students' achievement in photosynthesis (p = 0.01) and the main effect of gender is not significant for scientific reasoning, F (1, 153) = 0.15, p = 0.70. The study concluded that AI-enhanced IBL has effect on developing students’ reasoning ability in photosynthesis and achievement and it is gender friendly. It was recommended that basic science teachers should adopt AI-enhanced IBL in teaching photosynthesis and by implication, other difficult basic science concepts.

References

  1. Ahiakwo, M. J. & Oko-Jaja, P. (2024). Misconceptions in Photosynthesis and Respiration Topics in Biology Subject among Secondary School Students in Rivers South-East Senatorial District. Rivers State University Journal of Science and Mathematics Education, 2(1), 95–106.
  2. Akpan, E. S. (2025). Scientific Reasoning Ability and Acquisition of Science Process Skills Using Improvised and Standard Instructional Materials in Secondary School Physics in Uyo. GAS Journal of Education and Literature (GASJEL), 2(3), 23–27. https://doi.org/10.5281/zenodo.17361207
  3. Alé, J., Ávalos, B., & Araya, R. (2025). Scientific Practices for Understanding, Applying and Creating with Artificial Intelligence in K-12 Education: A Scoping Review. Review of Education, 13, e70098. https://doi.org/10.1002/rev3.70098.
  4. Aprianti, E., Sunandar, A., & Setiadi, A. E. (2025). Misconceptions about the Concept of Photosynthesis among Grade 12 Students using the Image Analysis M ethod. Indonesian Journal of Biology Education, 11(1), 343–350. https://doi.org/10.22219/jpbi.v11i1.37978
  5. Bao, L., Xiao, Y., Koenig, K., & Han, J. (2018). Validity Evaluation of the Lawson Classroom Test of Scientific Reasoning. Physical Review Physics Education Research, 14(2), Article 020106. https://doi.org/10.1103/PhysRevPhysEducRes.14.020106
  6. Bybee, R. W. (1997). Achieving Scientific Literacy: From Purposes to Practices. Heinemann.
  7. Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for Educational Practice of the Science of Learning and Development. Applied Developmental Science, 24(2), 97–140. https://doi.org/10.1080/10888691.2018.1537791
  8. Doğan, Y., Kılıç, Z., Kalınkara, Y., & Talan, T. (2026). The Impact of Artificial Intelligence-Supported Instruction on Student Learning in STEM: A Systematic Review and Meta-Analysis. Journal of Intelligence, 14(6), 109. https://doi.org/10.3390/jintelligence14060109.
  9. Fayzullina, A. R., Filippova, A. A., Garnova, N. Y., Astakhov, D. V., Kalmazova, N., & Zaripova, Z. F. (2025). Artificial intelligence in Science Education: A Systematic Review of Applications, Impacts, and Challenges. Contemporary Educational Technology, 17(4), Article ep613. https://doi.org/10.30935/cedtech/17519.
  10. Federal Republic of Nigeria (FRN, 2018). National Policy on Education (6th Ed.) Abuja: NERDC Press.
  11. Federal Republic of Nigeria. (FRN, 2013). National curriculum for basic science and technology. Nigerian Educational Research and Development Council (NERDC)
  12. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign. https://curriculumredesign.org/our-work/artificial- intelligence-in-education/ ISBN: 978-1794293700
  13. Kotsis, K. T. (2025). Integrating Artificial Intelligence Into Digital Technologies for Science Teaching. European Journal of Contemporary Education and E-Learning, 3(6), 3–19. https://doi.org/10.59324/ejceel.2025.3(6).01.
  14. Lawson, A. E., Clark, B., Cramer-Meldrum, E., Falconer, K. A., Sequist, J. M., & Kwon, Y. J. (2000). Development of Scientific Reasoning in College Biology: Do Two Levels of General Hypothesis-testing Skills Exist? Journal of Research in Science Teaching, 37(1), 81–101. https://doi.org/10.1002/(SICI)1098-2736(200001)37:1<81.
  15. Li, S. (2025). Artificial Intelligence in Science Learning within The Framework of Situated Learning Theory: A Qualitative Investigation of Teachers’ Perspectives. Creative Education, 16(11), 1858–1882. https://doi.org/10.4236/ce.2025.1611114
  16. Mamman, G. (2025). Effect of Peer-Tutoring Strategy on Performance in Basic Science Concepts Among Secondary School Students in Zaria Education Zone, Kaduna State, Nigeria. Zamfara International Journal of Education, 5(3), 184–189. https://doi.org/10.64348/zije.202551
  17. Martins-omole, M. I. (2022). Effects of Lecture Method on Biology Students’ Academic Performance and Retention in Karshi Zone, FCT Abuja. Journal of Curriculum Enrichment (JCE) World Council for Curriculum and Instruction. 3(3), 6–12.
  18. Moemeke, C. D., Chukwunenye, J. N., & Malik, N. A. (2025). Understanding the Theoretical Foundations of Inquiry-Based Learning: Pivot For Productive Science Education in Africa. Educational Considerations, 50(3), Article 4. https://doi.org/10.4148/0146-9282.2446.
  19. Mustapha, B.S. (2018). Impact of Mastery Learning Approach on Motivation and Performance in Wave Concepts among Senior Secondary School Physics Students in Zaria, Kaduna, Nigeria. [Unpublished M.Ed. Thesis] Department of Science Education A.B.U. Zaria, Nigeria.
  20. Nduji, C. C., Nwandikor, C., Keziah, B. C., & Elejere, U. C. (2020). Effect of Jigsaw-Based Cooperative Learning Strategy on Senior Secondary School Students' Interest and Achievement in Physics. International Journal of Studies in Education, 16(1), 164–175.
  21. Ng, D. T. K., Tan, C. W., & Leung, J. K. L. (2024). Empowering Student Self-Regulated Learning and Science Education through ChatGpt: A Pioneering Pilot Study. British Journal of Educational Technology, 55(4), 1328–1353. https://doi.org/10.1111/bjet.13454.
  22. Nigerian Educational Research and Development Council (NERDC, 2025). Basic Science and Technology Curriculum for Junior Secondary Schools (Revised edition). NERDC Press.
  23. Nogot, W. R. (2025). Integration of Artificial Intelligence Tools in Inquiry-Based Physics Instruction For Grade 10 in Public Secondary schools of Quezon Province. International Journal of Research and Innovation in Social Science 9(3), 7326–7337.
  24. Ojo, A. T., & Ige, T. A. (2025). Exploring Scientific Reasoning and Genetics Self-Efficacy As Predictors of Secondary School Students’ Achievement in Genetics. African Journal of Research in Mathematics, Science and Technology Education, 29(2). https://doi.org/10.1080/18117295.2025.2498179
  25. Oladipo, A. J., & Awofala, A. O. A. (2026). Epistemic Beliefs as Predictors of Students’ Conceptual Understanding and Scientific Reasoning in Senior Secondary School Biology in Lagos State, Nigeria. NIU Journal of Educational Research, 12(1), 103–114. https://doi.org/10.58709/niujed.v12i1.2395
  26. Olotu, O. T; Bello, G; Adeoye, G. A; & Abimbola, I. O. (2024). Effects of Analogy in Remediating Senior Secondary School Students’ Misconceptions in Photosynthesis. Nigerian Online Journal of Educational Sciences and Technology, 5(2), 97–108.
  27. Onwunali, M. R. O., Ladan, S., & Muhammad, H. B. (2026). Comparative Assessment of Challenges and Improvement Strategies in Agricultural Science Teaching Between Public Schools in Sabon Gari and Zaria LGAs, Kaduna State, Nigeria. Zamfara International Journal of Education, 3(2), 87–100. https://doi.org/10.64348/zije.2026425.
  28. Oyewole, K. A., & Khalil, K. B. (2023). The 9-3-4 System of Education and Its Effect on Educational Standard in Osun State of Nigeria: An Empirical Study. Ife Journal of Theory and Research in Education, 24, 219–235.
  29. Project Stores. (2025). A study of effect of using computer-aided instruction in teaching basic sciences in juniorsecondary school.ProjectStores Academic Repository; https://projectstores.com.ng/a-study-of-effect-of-using-computer- aidedinstruction-in-teaching-basic-sciences-in-junior-secondary-school-2/
  30. Selvam, A. A. A. (2024). Exploring the Impact of Artificial Intelligence on Transforming Physics, Chemistry, and Biology Education. The Cuvette, 2. https://doi.org/10.21428/a70c814c.747297aa.
  31. Shofiyah, N., Jatmiko, B., Suprapto, N., Prahani, B. K., & Anggraeni, D. M. (2025). The Use of Technology to Scientific Reasoning in Science Education: A Bibliometric and Content Analysis of Research Papers. Social Sciences & Humanities Open, 11, Article 101534. https://doi.org/10.1016/j.ssaho.2025.101534.
  32. Tyagi, P. (2025). Use of Artificial Intelligence in Virtual Practical Labs. Journal Global Values, 16(SI), 205–209. https://doi.org/10.31995/jgv.2025.v16iSI7.027.
  33. Wu, W., Chen, L., Liang, R., Huang, S., Li, X., Huang, B., et al., (2025). The role of light in regulating plant growth, development and sugar metabolism: a review. Frontiers in plant science, 15, 1507628. https://doi.org/10.3389/fpls.2024.1507628.
  34. Yediarani, R. D., Maison, M., & Syarkowi, A. (2019). Scientific Reasoning Abilities Profile of Junior High School Students in Jambi. Indonesian Journal of Science and Mathematics Education, 2(1), 1–5. Incident ID: 824feaad-cnvj-4034-a8c8-fc80a2b84af5
  35. Zhang, S., & Jamaludin, K. A. (2025). Analysis of Inquiry-Based Learning Teaching Approach in Developing Student’s Learning Mastery and Engagement in Biology Subject. International Journal of Academic Research in Progressive Education and Development, 14(4), 1–15. http://dx.doi.org/10.6007/IJARPED/v14-i4/27035.
How to Cite

Usman, H. A., Amina, Y., & Asabe, N. R. (2026). Effect of AI-enhanced Inquiry Based Learning on Scientific Reasoning Ability and Achievement in Photosynthesis among Basic Science Students in Zaria, Kaduna State. Journal of Studies in Science and Mathematics Education, 6(2), 103–112.

H. A. Usman, Y. Amina, and N. R. Asabe, "Effect of AI-enhanced Inquiry Based Learning on Scientific Reasoning Ability and Achievement in Photosynthesis among Basic Science Students in Zaria, Kaduna State," Journal of Studies in Science and Mathematics Education, vol. 6, no. 2, pp. 103–112, October 2026.

Share this article:
Facebook X / Twitter LinkedIn