Effects of ChatGPT-Based Instruction Using VARK Model on Academic Performance in Cellular Respiration among Secondary School Students in Zamfara State, Nigeria

USMAN, Adamu; SULEIMAN, Bashir; ISHAQ, Nuhu Lawal; BASHIR, Yusuf Rini

doi:10.64348/zije.2026253

Authors

USMAN, Adamu Author
SULEIMAN, Bashir Author
ISHAQ, Nuhu Lawal Author
BASHIR, Yusuf Rini Author

DOI:

https://doi.org/10.64348/zije.2026253

Keywords:

ChatGPT, Model, Academic Performance Cellular Respiration

Abstract

The study investigated the effects of ChatGPT-based instruction using VARK model on academic performance in cellular respiration among secondary school students in Zamfara state, Nigeria. Two objectives, two research questions and one hypothesis guided the study using explanatory sequential mixed method research design. The population was all the 98,417 senior secondary school students for the 2024/2025 academic session in the state. Sample was 93 students for both the quantitative and qualitative phases. Three validated instruments: Visual, Aural, Read/write and Kinesthetic Questionnaire (VARKQ), Cellular Respiration Performance Test (CRPT) and Biology Students’ Perceptions on ChatGPT-based Instruction Interview (BSPCII) were used for data collection. Test-retest method was adopted in establishing the reliability of the VARKQ, CRPT and BSPCII using Cronbach’s Alpha, Pearson’s r and Co⁠hen’s K‍appa correlations which yielded reliability indices of 0.81, 0.82 and 0.79 respectively. Quantitative data were analyzed using mean and standard deviation to answer the research questions and One Way ANCOVA to test the hypothesis at p ≤ .05 significance level while the qualitative data were analyzed thematically. Findings revealed that: the mean academic performance score of the experimental group was greater than that of the control group and secondary school biology students’ perceptions on the use of ChatGPT in learning were positive. The study concluded that ChatGPT-Based Instruction using VARK Model (CBIVM) significantly enhances students’ academic performance and was perceived positively by the students. It was recommended that biology teachers should adopt the CBIVM and senior secondary school students should be encouraged to make better utilization of ChatGPT for personalized learning.

References

Adekali, N. S. (2023). Effect of advance organizer on students’ achievement in secondary school biology in Dekina local government area of Kogi state. Journal of Science, Technology and Mathematics Pedagogy, 1(1), 217-226.

Alam, A., Hasan, M. and Raza, M. M. (2022). Impact of artificial intelligence (AI) on education: changing paradigms and approaches. Towards Excellence: An Indexed, Refereed and Peer Reviewed Journal of Higher Education, 14(1), 281-289. DOI: https://doi.org/10.37867/TE140127

Allam, H., Dempere, J., Akre, V., and Flores, P. (2023). Proceedings of the HCT International General Education Conference (HCT-IGEC 2023), Atlantis Highlights in Social Sciences, Education and Humanities, 13(1), 126-140. DOI: https://doi.org/10.2991/978-94-6463-286-6_10

Connolly, C., Logue, P.A. and Calderon, A. (2023). Teaching about curriculum and assessment through inquiry and problem-based learning methodologies: an initial teacher education cross-institutional study. Iris Educational Studies, 42(1), 443–460. https://doi.org/full/10.1080/03323315.2021.2019083 DOI: https://doi.org/10.1080/03323315.2021.2019083

Dam, M., Ottenhof, K., Boxtel, C. V. and Janssen, F. (2019). Understanding cellular respiration through simulation using lego® as a concrete dynamic model. Journal of Education Sciences, 9(7), 1-21. DOI: https://doi.org/10.3390/educsci9020072

Ekineh, D. and Otuturu, F. G. (2024). Effect of real object on academic performance of biology students in secondary schools in Emuoha local government area, Rivers state. Journal of Science, Technology and Mathematics Pedagogy, 1(2), 87-94.

Holmes, W., Bialik, M. and Fadel, C. (2023). Artificial intelligence in education: data ethics: building trust: how digital technologies can serve humanity. Globethics Publications, 1(1), 621–653. DOI: https://doi.org/10.58863/20.500.12424/4276068

Isma’il, A. and Matazu, S. S. (2024). Identification of perceived difficult topics in senior secondary school biology curriculum in Zamfara state. Global Academic Journal of Humanities and Social Sciences, 6(1), 22-30. https://doi.org/10.36348/gajhss.2024.v06i01.004 DOI: https://doi.org/10.36348/gajhss.2024.v06i01.004

Junaidu, S. B. (2024). Role of mathematics in artificial intelligence. Lead Paper Presented at the 60th Annual National Conference of the Mathematical Association of Nigeria (MAN). NTI Kaduna, Kaduna State, Nigeria.

Kansal, A.K., Gautam, J., Chintalapudi, N., Jain, S., and Battineni, G. (2021). Google trend analysis and paradigm shift of online education platforms during the COVID-19 pandemic. Infectious Diseases Report, 13(2), 418–428. DOI: https://doi.org/10.3390/idr13020040

Nicolaou, S.A. and Petrou, I. (2023). Digital redesign of problem-based learning (PBL) from face-to-face to synchronous online in biomedical sciences MSC courses and the student perspective. Education Science, 13(2), 81-95. https://www.mdpi.com/2227- 7102/13/8/850 DOI: https://doi.org/10.3390/educsci13080850

Nwagbo, C. R. (2019). Effects of guided-discovery expository teaching methods on the attitude towards biology students of different levels of scientific literacy. Journal of Science Teachers Association of Nigeria, 34(1), 66-73.

Okunade, A.I. (2024). The role of artificial intelligence in teaching of science education in secondary schools in Nigeria. European Journal of Computer Science and Information Technology, 12 (1), 57-67. DOI: https://doi.org/10.37745/ejcsit2013/vol12n15767

Olatunde-Aiyedun, T.G. (2024). Artificial intelligence (AI) in education: integration of AI into science education curriculum in Nigerian universities. International Journal of Artificial Intelligence for Digital Transformation, 1(1), 1-14. DOI: https://doi.org/10.61796/ijaifd.v1i1.13

Otuturu, F.G. (2023). Effects of simulation and guided-inquiry strategies in elimination of students’ misconception in biology in senior secondary school in rivers state. Journal of Science, Technology and Mathematics Pedagogy (special edition), 1(2), 63-73.

Samuel, I. (2024). Strategies for improving online teaching and learning of chemistry in secondary schools in a pandemic era in Kogi state, Nigeria. Journal of Science, Technology and Mathematics Pedagogy, 1(2), 95-106.

Tahiru, F. (2021). AI in education: a systematic literature review. Journal of Cases on Information Technology, 23(1), 1-20. https://doi.org/10.4018/JCIT.2021010101 DOI: https://doi.org/10.4018/JCIT.2021010101

Usman, A. and Idris, A. (2021). Effect of multiple intelligence-based instructional strategy on secondary school students’ academic achievement in cellular respiration in Gusau, Zamfara state-Nigeria. Bayero Journal of Science, Technology and Mathematics Education (BAJOSTME), 2(1), 14-29.

West African Examinations Council. (2024). Chief examiners’ reports (2014 to 2023). E-learning Online. Retrieved on 10th October, 2024. Available at: https://www.waeconline.org.ng/e-learning/Biology/Biomain.html