Bridging Cognitive Gaps in Physics Education: The Role of Age, Motivation, and Instructional Strategies

Authors

DOI:

https://doi.org/10.70232/jrese.v3i1.21

Keywords:

Age-Related Learning, Motivation, Instructional Strategies, Conceptual Understanding, Cognitive Development

Abstract

This paper explores the intersection of age, motivation, and instructional strategies in shaping students’ understanding of physics concepts. A growing body of research suggests that effective physics education must account for the developmental differences among learners, particularly as they move through various cognitive stages. Drawing from Piaget’s theory of cognitive development, the paper emphasizes that while students typically transition from concrete to formal operational thinking during secondary school, this progression is not uniform and is influenced by several factors beyond age, including instructional methods and individual motivation. Some students may reach formal operational thinking earlier and show readiness for abstract reasoning, while others may require additional support and scaffolding. This variability presents a significant challenge for educators aiming to deliver content that resonates with all learners. Younger students often rely on tangible, hands-on experiences to understand physics, whereas older students gradually develop abstract reasoning skills necessary for engaging with more complex scientific principles. Motivation, both intrinsic and extrinsic, plays a critical role in student engagement and persistence, with high self-efficacy and interest in physics contributing significantly to conceptual mastery. The paper advocates for age-responsive instructional strategies that are tailored to students’ developmental readiness, including scaffolding, differentiated instruction, inquiry-based learning, and the use of technology to personalize and enrich the learning experience. Based on these insights, the paper presents practical recommendations for curriculum development and teaching, such as incorporating real-world applications, integrating cross-disciplinary content, promoting equity and inclusion, and enhancing teacher professional development. By aligning instructional practices with students’ cognitive stages and motivational drivers, educators can bridge learning gaps, foster deeper conceptual understanding, and create more inclusive and effective physics classrooms that support long-term academic success.

Author Biographies

  • Adeniyi Michael Adeduyigbe, Department of Science and Technology Education, University of Ibadan, Ibadan, Nigeria

    Adeduyigbe Adeniyi Michael is a highly skilled and dedicated physics educator with a B.Sc. Ed in Physics Education from Adeyemi College of Education (affiliated with Obafemi Awolowo University) and an M.Ed in Science Education (Physics) from the University of Ibadan, where he is currently pursuing a PhD. Adeniyi has extensive experience in teaching and curriculum development, having held roles as a subject teacher and class teacher at respected institutions. He has demonstrated leadership as the Head of the Department of Science. He has actively contributed to the design and delivery of classroom instruction and offered guidance during practical classes. Adeniyi is deeply committed to enhancing student engagement and fostering academic excellence through innovative teaching methodologies. He is also a certified member of the Teachers Registration Council of Nigeria (TRCN). He has presented research papers at prominent educational conferences and published papers in international journals focusing on science education,  student learning difficulties, and misconceptions in physics.

  • Uchenna Kingsley Okeke, Department of Science and Technology Education, University of Johannesburg, South Africa

    Uchenna Kingsley Okeke holds a Doctor of Philosophy (Ph.D.) in Science and Technology Education; a Master of Education in Teacher Education with focus on Science Instruction and a Bachelor of Education in Teacher Education with concentration on Physics/Mathematics instruction, all from University of Ibadan, Nigeria. He is a Laureate of the prestigious CODESRIA Summer Research School, 2021 Cohort. He served as a University of Ibadan Postgraduate College Teaching and Research Assistant at the Department of Science and Technology Education from July 1, 2018 till February 20, 2020.

    Dr Uchenna Okeke has good knowledge of the characteristics of secondary school students, as he is an astute teacher. He possess vast experience in STEM subjects especially physics and has published articles, both in national and internationally peer review journals on challenges facing physics teaching and learning in Nigeria. Dr Uchenna Kingsley Okeke serves as a Postdoctoral Research Fellow in the Department of Science and Technology Education, Faculty of Education, University of Johannesburg, South Africa. - https://www.uj.ac.za/members/dr-uchenna-kingsley-okeke/

References

Chi, M. T., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219-243. https://doi.org/10.1080/00461520.2014.965823

Chin, C., & Osborne, J. (2008). Students’ questions: a potential resource for teaching and learning science. Studies in Science Education, 44(1), 1-39. https://doi.org/10.1080/03057260701828101

Cusak, M., Wideen, M., & Sherwood, A. (1986). Teaching in junior secondary schools and its relationship to the development of formal operational thought. European Journal of Science Education, 8(1), 95-105. https://doi.org/10.1080/0140528860080111

De Jong, T., Sotiriou, S., & Gillet, D. (2014). Innovations in STEM education: the Go-Lab federation of online labs. Smart Learning Environments, 1(1), 3. https://doi.org/10.1186/s40561-014-0003-6

Ding, L. (2014). Verification of causal influences of reasoning skills and epistemology on physics conceptual learning. Physical Review Special Topics-Physics Education Research, 10(2), 023101. https://doi.org/10.1103/PhysRevSTPER.10.023101

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active Learning Increases Students’ Performance in Science, Engineering, and Mathematics. Proceedings of the National Academy of Sciences of the United States of America, 111, 8410-8415. http://www.pnas.org/content/111/23/8410.full.pdf

Grant, R. M. (1976). Relationships between concrete and formal operational physics concepts and the intellectual levels of high school students. University of Oklahoma. https://files.eric.ed.gov/fulltext/ED130865.pdf

Hestenes, D. (2010). Modeling theory for math and science education. Modeling Students’ Mathematical Modeling Competencies: ICTMA 13, 13-41. http://dx.doi.org/10.1007/978-1-4419-0561-1_3

Koenig, K., Wood, K. E., & Bao, L. (2021). Development and evaluation of introductory physics lab curriculum to promote scientific reasoning abilities. Journal of Physics: Conference Series, 1929(1), 012060. IOP Publishing. http://dx.doi.org/10.1088/1742-6596/1929/1/012060

Krsnik, R., Pećina, P., Planinić, M., Sušac, A., & Buljan, I. (2002). What fraction of pupils really reach the stage of formal thinker in physics?. Developing Formal Thinking in Physics, 272-275. https://www.fisica.uniud.it/girepseminar2001/CS05/KRSNIK_05_FINAL.pdf

Moore, J. C. (2012). Transitional to formal operational: Using authentic research experiences to get non-science students to think more like scientists. European Journal of Physics Education, 3(1), 25-41. https://www.ajindex.com/dosyalar/makale/acarindex-1423880532.pdf

Roschelle, J., & Teasley, S. D. (1995). The construction of shared knowledge in collaborative problem solving. In O’Malley, C. (eds), Computer supported collaborative learning (pp. 69-97). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-85098-1_5

Sever, R., & Güven, D. (2022). Enhancing engagement in secondary physics education through project-based learning and gamification. Physics Education, 57(2), 1-9.

Subban, P. (2006). Differentiated instruction: A research basis. International Education Journal, 7(7), 935-947. https://files.eric.ed.gov/fulltext/EJ854351.pdf

White, B. Y. (1993). ThinkerTools: Causal models, conceptual change, and science education. Cognition and Instruction, 10(1), 1-100. https://doi.org/10.1207/s1532690xci1001_1

Downloads

Published

2026-01-01

How to Cite

Adeduyigbe, A. M., Okeke, U. K., & Ramaila, S. (2026). Bridging Cognitive Gaps in Physics Education: The Role of Age, Motivation, and Instructional Strategies. Journal of Research in Environmental and Science Education, 3(1), 1–7. https://doi.org/10.70232/jrese.v3i1.21

Similar Articles

1-10 of 25

You may also start an advanced similarity search for this article.