Pedagogical and Andragogical Integration in Mathematics, Statistics, and Physics in Higher Education

Authors

DOI:

https://doi.org/10.63969/9snjcy73

Abstract

This study aims to analyze the integration of pedagogical and andragogical approaches in the teaching of complex subjects such as mathematics, statistics, and physics in higher education. These disciplines represent one of the main challenges in university settings due to their high level of abstraction, cognitive demands, and logical reasoning requirements, often resulting in learning difficulties, low academic performance, and, in some cases, student dropout. Through a narrative literature review, the study examines the theoretical foundations supporting both approaches, as well as the most commonly used teaching strategies in higher education contexts. The findings show that the articulation of pedagogy and andragogy enables more dynamic, participatory, and contextualized teaching processes, promoting meaningful learning and the development of analytical skills. It is concluded that integrating these approaches represents a relevant alternative to address contemporary educational demands and improve learning outcomes in complex subjects.

Downloads

Download data is not yet available.

References

Ausubel, D. P. (2000). The acquisition and retention of knowledge: A cognitive view. Springer.

Biggs, J. (1999). Teaching for quality learning at university. Open University Press.

Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th ed.). McGraw-Hill Education.

Bonwell, C. C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom. ASHE-ERIC Higher Education Report.

Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn: Brain, mind, experience, and school. National Academy Press.

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111

Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266.

Knowles, M. S. (1980). The modern practice of adult education: From pedagogy to andragogy. Cambridge Books.

Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.

Merriam, S. B., & Bierema, L. L. (2014). Adult learning: Linking theory and practice. Jossey-Bass.

Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231.

Schunk, D. H. (2012). Learning theories: An educational perspective (6th ed.). Pearson.

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Wlodkowski, R. J. (2008). Enhancing adult motivation to learn: A comprehensive guide for teaching all adults (3rd ed.). Jossey-Bass.

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70.

Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.

Garrison, D. R. (2011). E-learning in the 21st century: A framework for research and practice (2nd ed.). Routledge.

Illeris, K. (2018). Contemporary theories of learning: Learning theorists in their own words (2nd ed.). Routledge.

Downloads

Published

2026-03-24

How to Cite

Angulo De León, J. A. ., Benítez Barro, A. C. ., Rivera Quiñonez, E. D. ., & Zambrano Álvarez, M. G. . (2026). Pedagogical and Andragogical Integration in Mathematics, Statistics, and Physics in Higher Education. Educational Regent Multidisciplinary Journal, 3(1), 1-11. https://doi.org/10.63969/9snjcy73