The Conversation Hub: Explaining Students’ Transition from Surface to Deep Mathematics Learning

Authors

DOI:

https://doi.org/10.30983/educative.v11i1.11090

Keywords:

Constructivist Grounded Theory, Deep Learning, Mathematical Conversations, Mathematics Education, Conversation Hub

Abstract

The transition from surface-oriented learning to deep learning remains a significant challenge in mathematics education, particularly in understanding how students develop deeper conceptual engagement through authentic classroom experiences. This study aimed to develop a substantive theoretical explanation of how Grade 12 students transition from surface-oriented learning toward deep learning in mathematics classrooms. A Constructivist Grounded Theory approach was employed, using semi-structured interviews to collect data from Grade 12 students. Data were analyzed through iterative coding procedures, including initial, focused, and theoretical coding, to identify recurring categories and generate an emerging theoretical model. The findings revealed that students' progression toward deep learning was facilitated through continuous mathematical conversations, enabling them to connect prior knowledge, collaboratively construct conceptual understanding, reflect on mathematical reasoning, and apply knowledge in meaningful contexts. These interconnected learning experiences culminated in the emergence of the Conversation Hub, identified as the core category explaining students' transition from surface-oriented learning to deep learning. This study contributes to mathematics education by providing a substantive theoretical explanation of students' learning processes and offers a practical framework for designing mathematics classrooms that foster collaborative dialogue, conceptual understanding, and meaningful learning..

References

Biggs, J. B. (1987). Student Approaches to Learning and Studying. Australian Council for Educational Research.

Biggs, J. B., & Tang, C. (2011). Teaching for Quality Learning at University (4th ed.). Open University Press.

Boaler, J. (2016). Mathematical Mindsets: Unleashing Students’ Potential Through Creative Mathematics, Inspiring Messages and Innovative Teaching. Jossey-Bass.

Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (2000). How People Learn: Brain, Mind, Experience, and School (Expanded E). National Academy Press.

Charmaz, K. (2014). Constructing Grounded Theory (2nd ed.). SAGE Publications.

Cobb, P., & Yackel, E. (1996). Constructivist, Emergent, and Sociocultural Perspectives in the Context of Developmental Research. Educational Psychologist, 31(3–4), 175–190. https://doi.org/10.1207/s15326985ep3103_3

Corbin, J., & Strauss, A. (2015). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (4th ed.). SAGE Publications.

Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (4th ed.). SAGE Publications.

Dinsmore, D. L., & Alexander, P. A. (2012). A Critical Discussion of Deep and Surface Processing: What It Means, How It Is Measured, the Role of Context, and Model Specification. Educational Psychology Review, 24(4), 499–567. https://doi.org/10.1007/s10648-012-9198-7

Dolmans, D. H. J. M., Loyens, S. M. M., Marcq, H., & Gijbels, D. (2016). Deep and Surface Learning in Problem-Based Learning: A Review of the Literature. Advances in Health Sciences Education, 21(5), 1087–1112. https://doi.org/10.1007/s10459-015-9645-6

Hattie, J. (2009). Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. Routledge. https://doi.org/10.4324/9780203887332

Hesse, F. W., Care, E., Buder, J., Sassenberg, K., & Griffin, P. (2014). A Framework for Teachable Collaborative Problem Solving Skills. In P. Griffin & E. Care (Eds.), Assessment and Teaching of 21st Century Skills (pp. 37–56). Springer. https://doi.org/10.1007/978-94-017-9395-7_2

Hiebert, J., & Carpenter, T. P. (1992). Learning and Teaching with Understanding. In D. A. Grouws (Ed.), Handbook of Research on Mathematics Teaching and Learning (pp. 65–97). Macmillan Publishing Company.

Kilpatrick, J., Swafford, O., J., and Findell, & B. (2001). Adding it up: Helping Children Learn Mathematics. Washington, DC: National Academy Press.

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE Publications.

Marton, F., & Säljö, R. (1976a). On Qualitative Differences in Learning: I—Outcome and Process. British Journal of Educational Psychology, 46(1), 4–11. https://doi.org/10.1111/j.2044-8279.1976.tb02980.x

Marton, F., & Säljö, R. (1976b). On Qualitative Differences in Learning: II—Outcome as a Function of the Learner’s Conception of the Task. British Journal of Educational Psychology, 46(2), 115–127. https://doi.org/10.1111/j.2044-8279.1976.tb02981.x

Mercer, N. (2000). Words and Minds: How We Use Language to Think Together. Routledge.

Ministry of Education, Youth and Sport. (2024). Education Strategic Plan 2024--2028.

National Council of Teachers of Mathematics. (2014). Principles to Actions: Ensuring Mathematical Success for All. National Council of Teachers of Mathematics.

OECD. (2019). PISA 2018 results: What students know and can do (Vol. 1). OECD Publishing.

Organisation for Economic Co-operation and Development. (2023). PISA 2022 Results: Mathematics and Science Performance. OECD Publishing.

Patton, M. Q. (2015). Qualitative Research & Evaluation Methods (4th ed.). SAGE Publications.

Perrotta, C., & Selwyn, N. (2020). Deep Learning Goes to School: Toward a Relational Understanding of AI in Education. Learning, Media and Technology, 45(3), 251–269. https://doi.org/10.1080/17439884.2020.1686017

Piaget, J. (1970). Science of Education and the Psychology of the Child. Orion Press.

Rittle-Johnson, B., Schneider, M., & Star, J. R. (2015). Not a One-Way Street: Bidirectional Relations Between Procedural and Conceptual Knowledge of Mathematics. Educational Psychology Review, 27(4), 587–597. https://doi.org/10.1007/s10648-015-9302-x

Sawyer, R. K. (2005). The Cambridge handbook of the learning sciences. Cambridge University Press.

Sfard, A. (2008). Thinking as communicating: Human development, the growth of discourses, and mathematizing. Cambridge university press.

Skemp, R. R. (1976). Relational Understanding and Instrumental Understanding. Mathematics Teaching, 77, 20–26.

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

Wenger, E. (1998). Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press.

Published

31-07-2026

How to Cite

Phan, B., & Hista Medika, G. (2026). The Conversation Hub: Explaining Students’ Transition from Surface to Deep Mathematics Learning. Jurnal Educative: Journal of Educational Studies, 11(1), 98–116. https://doi.org/10.30983/educative.v11i1.11090

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