Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD
📄 Download Paper

Effects of Brain-Based Learning Instructional Approach on Students’ Retention of Newtonian Physics in Onitsha Education Zone, Nigeria

Otuohere, Linda Charles, Nwankwo, M.C.

Abstract

This study examined the effect of brain-based learning instructional approach on secondary school students’ retention of Newtonian Physics, moderated by gender, in Onitsha Education Zone, Nigeria. Three research questions and three null hypotheses were tested at 0.05 significance level using a quasi-experimental pretest-posttest delayed posttest design. The sample comprised 52 SS2 Physics students drawn from a population of 3,618 using multistage sampling. Physics Retention Test was administered as pretest, posttest, and delayed posttest (three weeks after posttest). Reliability of PRT was 0.84 (KR-20). The experimental group (n=25) was taught with BBLIA, while the control group (n=27) received lecture method. Data were analysed using mean, standard deviation, and ANCOVA. Results showed that BBLIA led to significantly higher retention scores and lower knowledge loss compared to lecture method. No significant gender difference in retention was found among BBLIA-taught students, and no significant interaction effect between instructional strategy and gender on retention was observed, although the interaction was disordinal. It was concluded that BBLIA promotes durable retention of Newtonian Physics concepts equally for male and female students. The study recommended the institutional adoption of BBLIA to ensure equitable long-term learning outcomes.

Keywords

Brain-based learningretentionNewtonian Physicsgenderknowledge decayNigeria

References

Abdul Rahman, S. & Ajineh, A.R. (2025). The effectiveness of Brain-Based Learning on students’ achievement and knowledge retention in science. International Journal of Studies in Education and Science, 6(1), 48-65. Achor, E. E. & Eze, J. N. (2019). Gender differences in retention of Physics concepts among Nigerian secondary school students. Journal of Science Teachers Association of Nigeria, 54(2), 45-58. Bada, A. & Jita, L. (2023). Effect of brain-based teaching method on secondary school Physics students’ retention and self-efficacy. Journal of Technology and Science Education, 13(1), 276-287. Muhammet, O. & Mehmet, G. (2008). The effects of brain-based learning on academic achievement and retention of knowledge in science courses. Electronic Journal of Science Education, 12(1), 1-18. Nwoye, A.N., Okeke, S.O.C. & Nwosu, F.C. (2020). Gender and academic retention of secondary school students taught electrostatics with computer animated instructional package... UNIZIK Journal of STM Education, 3(2), 41-50. Obidile, J.I. (2020). Effect of gender on students’ academic achievement and retention in Auto mechanic technology... London Journal of Research, 20(1), 1-7. Onyegebu, N. & Eze, U. (2017). Effect of collaborative learning on gender gap in Physics achievement in Nigerian secondary schools. Journal of Emerging Trends in Educational Research, 8(3), 234-241. Serap, T. & Melek, D. (2009). The effect of brain-based learning on achievement, retention, attitude and learning process. Procedia-Social and Behavioural Science, 1(1), 1782- 1792. Sousa, D. A. (2017). How the brain learns (5th ed.). Corwin Press. Udofia, P.M. & Ibok, E.O. (2025). Effects of brain-based learning on students’ academic achievement and retention in mathematics word problems in Akwa Ibom State. British Journal of Education, 13(8), 13-24. Uzezi, J.G. & Jonah, K.J. (2017). Effectiveness of brain-based learning strategy on students’ academic achievement, attitude, motivation and knowledge retention in electrochemistry. Journal of Education, Society and Behavioural Science, 21(3), 1-13. WAEC (2022, 2025). Chief Examiner’s Report: Physics. Accra: WAEC. Yakubu, P.A. (2021). Influence of gender on students’ academic achievement in science and technology education when taught using innovative strategies. AJSTME, 7(1), 14-20.

More Articles from RESEARCH JOURNAL OF PURE SCIENCE AND TECHNOLOGY

Advances In NLP-Driven Analytics for Automated Detection of Regulatory Liabilities in High-Volume Contracts

Author: Ngonadi Uchechi, Michael Ominyi, Ngozi Samuel Uzougbo, Blessing Chika Jones,, USA

Resilient Test Automation Framework for Microservices: Addressing Integration, Scalability, and Reliability

Author: Awonowo Olusegun Oriyomi,, Anrinnle Qowiu Olaoluwa, Lawal Ahmed Oladimeji, Babayemi Temitayo Matthew, Azubuike Marvelous Onyedikachukwu, Olomu Ayomide Babatunde, Omitogun Ayomide Elijah

Polychlorinated Biphenyls at Informal E-Waste and Automobile- Recycling Sites: A Systematic Review of Contamination Levels, Analytical Methods, and Human Health Risk

Author: Olatunde Adesoji Aladegba, Moshood Ayinde

An Artificial-Intelligence-Driven Biochemical Framework for Linking Environmental Pollutant Exposure to Oxidative Stress and DNA Damage

Author: Olatunde Adesoji Aladegba, Moshood Ayinde

An Application of Integrated Geophysical Approaches to Identified Heavy Metal Pathways at Gold Mining Site North – Western Nigeria

Author: A. Musa, B. B. M. Dewu, A. A. Gado, and I. U. Mohammed, Corresponding E-mail