From Theory to Practice, and Back: Student Evidence Testing ZPD, APOS, CLT, and Constructivism in Mathematical Thinking Workshops
Abstract
1. Introduction
1.1. Context and Problem
1.2. Aim and Contribution
1.3. Theoretical Orientation of the MTWs
1.4. Analytical Approach and Expectations
1.5. Research Questions
- To what extent do students’ accounts of participation and learning in the MTWs confirm or challenge core assumptions from ZPD, APOS, CLT, and constructivism?
- Where do the frameworks require extension or qualification to accommodate contextual features such as multilingual interaction, uneven prior preparation, and environmental constraints?
- What design implications follow for subsequent iterations of the workshops?
2. Materials and Methods
2.1. Study Design and Intervention Context
2.2. Participants, Recruitment, and Data Collection
2.3. Data Analysis, Trustworthiness, and Ethics
3. Results: Assumption-to-Evidence Analyses
3.1. ZPD: Mediation, Safety, and Designed Equity
3.2. APOS: Movement from Action to Process to Object and Schema
3.3. CLT: Cognitive Load and the Learning Environment
I could say maybe it’s the way we are seated, with [the facilitator] in front and just talking to everyone. Sometimes it’s not easy to pay attention to him fully because you’re not facing him because of the way the tables are placed … you feel a little bit left out … Maybe set the tables in a certain order before we even start the session so that everyone has a feel of what’s happening.
3.4. Constructivism: Social Meaning-Making, Recognition, and Closure
3.5. Cross-Framework Synthesis
4. Discussion
4.1. Where the Frameworks Held, Where Context Bent Them, and Where Students Pushed Back
4.2. Refined Theoretical Propositions
4.3. Implications for Workshop Design, Facilitation, and Continuity
4.4. Limitations and Future Research
4.5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| APOS | Action-Process-Object-Schema theory |
| BSc | Bachelor of Science |
| CLT | Cognitive Load Theory |
| MTWs | Mathematical Thinking Workshops |
| RTA | Reflexive Thematic Analysis |
| ZPD | Zone of Proximal Development |
Appendix A
| Category | ZPD | CLT | APOS Theory |
|---|---|---|---|
| Primary Focus | Socially mediated learning through support | Mental efficiency during learning | Cognitive development in mathematical thinking |
| Schema Acquisition | Occurs via social interaction and scaffolding/mediation within the ZPD | Optimized by managing intrinsic, extraneous, and germane load | Emerges through progression from actions to processes to schemas |
| Role of the Learner | Active participant in a social context | Cognitive processor whose capacity must be managed | The learner progresses through internal mental constructions |
| Role of the Facilitator/Tutor | Provides scaffolding/mediation to bridge gaps in understanding | Designs tasks that avoid overload and promote schema construction | Designs activities that trigger transitions through APOS phases |
| Nature of Support | External and temporary; tailored to learner(s) readiness | Instructional design-driven; reduces unnecessary demands | Internalized through mathematical activity and reflection |
| Relevance to Workshops | Supports collaborative and peer-facilitated discussions | Informs task design to manage cognitive demand | Frames cognitive growth in mathematical understanding |
| Tensions/ Challenges in applying the theory | Identifying the learner(s)’s current zone and ensuring the support provided is neither overwhelming nor under-stimulating the learner(s). | Striking the right balance between reducing extraneous load and maintaining sufficient task complexity to promote meaningful learning. | Moving from theoretical genetic decomposition to practical task design requires deep pedagogical content knowledge and iterative refinement. |
References
- Arendale, D. R. (1993). Foundation and theoretical framework for supplemental instruction: Improving first-year student success in high-risk. In D. C. Martin, & D. R. Arendale (Eds.), Supplemental instruction: Improving first-year student success in high-risk (2nd ed., pp. 19–26). National Resource Center for the First Year Experience and Students in Transition. [Google Scholar]
- Asiala, M., Brown, A., De Vries, D. J., & Dubinsky, E. (1996). A framework for research and development in undergraduate mathematics education. Research in Collegiate Mathematics Education, 2, 1–32. [Google Scholar]
- Beckley, A., Netherton, C., & Singh, S. (2015). Closing the gap through bridges to higher education. In Learning for life and work in a complex world: 38th HERDSA annual international conference: Proceedings (pp. 416–435). Higher Education Research and Development Society. Available online: https://herdsa.org.au/system/files/HERDSA_2015_Singh.pdf (accessed on 27 January 2026).
- Boughey, C. (2010). Academic development for improved efficiency in the higher education and training system in South Africa. DHET. [Google Scholar]
- Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. [Google Scholar] [CrossRef]
- Braun, V., & Clarke, V. (2023). Thematic analysis. In H. Cooper, M. N. Coutanche, L. M. McMullen, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbook of research methods in psychology: Research designs: Quantitative, qualitative, neuropsychological, and biological (2nd ed., pp. 65–81). American Psychological Association. [Google Scholar] [CrossRef]
- Choi, H. H., van Merrienboer, J. J. G., & Paas, F. (2014). Effects of the physical environment on cognitive load and learning: Towards a new model of cognitive load. Educational Psychology Review, 26(2), 225–244. [Google Scholar] [CrossRef]
- Clarence, S. (2016). Peer tutors as learning and teaching partners: A cumulative approach to building peer tutoring capacity in higher education. Critical Studies in Teaching and Learning, 4(1), 39–54. [Google Scholar] [CrossRef]
- Cobb, P., Confrey, J., DiSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13. [Google Scholar] [CrossRef]
- Cobb, P., & Yackel, E. (1996). Constructivist, emergent, and sociocultural perspectives in the context of developmental research. Educational Psychologist, 31(3–4), 175–190. [Google Scholar] [CrossRef]
- Cottrill, J. B., Dubinsky, E., Nichols, D., Schwingendorf, K., Thomas, K., & Vidakovic, D. (1996). Understanding the limit concept: Beginning with a coordinated process scheme. The Journal of Mathematical Behavior, 15, 167–192. [Google Scholar] [CrossRef]
- Croft, A. C. (2000). A guide to the establishment of a successful mathematics learning support centre. International Journal of Mathematical Education in Science and Technology, 31(3), 431–446. [Google Scholar] [CrossRef]
- Daniels, H. (2008). Vygotsky and research. Routledge. [Google Scholar] [CrossRef]
- Dawson, P., van der Meer, J., Skalicky, J., & Cowley, K. (2014). On the effectiveness of supplemental instruction: A systematic review of supplemental instruction and peer-assisted study sessions literature between 2001 and 2010. Review of Educational Research, 84(4), 609–639. [Google Scholar] [CrossRef]
- Design-Based Research Collective. (2003). Design-based research: An emerging paradigm for educational inquiry. Educational Researcher, 32(1), 5–8. [Google Scholar] [CrossRef]
- Dubinsky, E., & McDonald, M. A. (2001). APOS: A constructivist theory of learning in undergraduate mathematics education research. In D. Holton, M. Artigue, U. Kirchgräber, J. Hillel, M. Niss, & A. Schoenfeld (Eds.), The teaching and learning of mathematics at university level (pp. 272–282). New ICMI Study Series. Springer. [Google Scholar] [CrossRef]
- Durand-Guerrier, V., Kazima, M., Libbrecht, P., Njomang Ngansop, J., Salekhova, L., Tuktamyshov, N., & Winsløw, C. (2015). Challenges and opportunities for second language learners in undergraduate mathematics. In R. Barwell, P. Clarkson, A. Halai, M. Kazima, J. Moschkovich, N. Planas, M. Setati-Phakeng, P. Valero, & M. Villavicencio Ubillús (Eds.), Mathematics education and language diversity: The 21st ICMI study (pp. 85–101). Springer. [Google Scholar] [CrossRef]
- Gravemeijer, K., & Cobb, P. (2006). Design research from a learning design perspective. In J. Van den Akker, K. Gravemeijer, S. McKenney, & N. Nieveen (Eds.), Educational design research (pp. 29–63). Routledge. [Google Scholar] [CrossRef]
- Gray, E. M., & Tall, D. O. (1994). Duality, ambiguity, and flexibility: A “proceptual” view of simple arithmetic. Journal for Research in Mathematics Education, 25(2), 116–140. [Google Scholar] [CrossRef]
- Gueudet, G., & Bosch, M. (2017). Transitions in mathematics education: The panel debate. In G. Kaiser (Ed.), Proceedings of the 13th International congress on mathematical education (pp. 107–124). Springer. [Google Scholar]
- Jojo, Z. M. (2019). Mathematics education system in South Africa. In Education systems around the world. IntechOpen. [Google Scholar]
- Kirkil, G. (2025). Effects of classroom temperature and humidity on student learning performance: An experimental study using sensor-based monitoring. Frontiers in Built Environment, 11, 1678438. [Google Scholar] [CrossRef]
- Lawson, D., Croft, T., & Halpin, M. (2003). Good practice in the provision of mathematics support centres. LTSN Maths, Stats and OR Network. [Google Scholar]
- Leibowitz, B., Van der Merwe, A., & Van Schalkwyk, S. (2009). Focus on first year success: Perspectives emerging from South Africa and beyond. African Sun Media. [Google Scholar] [CrossRef]
- Mac an Bhaird, C., Mulligan, P., & O’Malley, J. (2020). Student perspectives on their engagement with a mathematics support centre website. MSOR Connections, 18(3), 4–9. [Google Scholar] [CrossRef]
- McKenney, S., & Reeves, T. C. (2019). Conducting educational design research (2nd ed.). Routledge. [Google Scholar]
- Mokhithi, M., Campbell, A. L., Shock, J. P., & Padayachee, P. (2025). ‘I call it math therapy’: Student narratives of growth, belonging and confidence in mathematical thinking workshops. International Journal of Mathematical Education in Science and Technology, 56(12), 2353–2378. [Google Scholar] [CrossRef]
- Mouton, M., & Rewitzky, I. (2024). Opportunity and outcome: A quantitative evaluation of the stem extended curriculum programme at a research-intensive university. South African Journal of Higher Education, 39(2), 151–171. [Google Scholar] [CrossRef]
- Rach, S., & Ufer, S. (2020). Which prior mathematical knowledge is necessary for study success in the university study entrance phase? Results on a new model of knowledge levels based on a reanalysis of data from existing studies. International Journal of Research in Undergraduate Mathematics Education, 6(2), 375–403. [Google Scholar] [CrossRef]
- Rasmussen, C., Kwon, O., Allen, K., Marrongelle, K., & Burtch, M. (2006). Capitalizing on advances in mathematics and K–12 mathematics education in undergraduate mathematics: An inquiry-oriented approach to differential equations. Asia Pacific Education Review, 7(1), 85–93. [Google Scholar] [CrossRef]
- Sandoval, W. (2014). Conjecture mapping: An approach to systematic educational design research. Journal of the Learning Sciences, 23(1), 18–36. [Google Scholar] [CrossRef]
- Sedibe, M. (2011). Inequality of access to resources in previously disadvantaged South African high schools. Journal of Social Sciences, 28(2), 129–135. [Google Scholar] [CrossRef]
- Sedova, K., Sedlacek, M., Salamounova, Z., Lintner, T., Svaricek, R., Vlcek, J., Malikova, K., & Rozmahel, I. (2025). Let them all talk: Equitable participation in classroom dialogue as a result of an intervention programme. Language and Education, 39(6), 1471–1489. [Google Scholar] [CrossRef]
- Sfard, A. (1991). On the dual nature of mathematical conceptions: Reflections on processes and objects as different sides of the same coin. Educational Studies in Mathematics, 22, 1–36. [Google Scholar] [CrossRef]
- Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2), 4–13. [Google Scholar] [CrossRef]
- Sweller, J. (1988). Cognitive load during problem-solving: Effects on learning. Cognitive Science, 12(2), 257–285. [Google Scholar] [CrossRef]
- Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31(2), 261–292. [Google Scholar] [CrossRef]
- Thompson, J. (2022). A guide to abductive thematic analysis. The Qualitative Report, 27(5), 1410–1421. [Google Scholar] [CrossRef]
- Timmermans, S., & Tavory, I. (2022). Data analysis in qualitative research: Theorizing with abductive analysis. University of Chicago Press. [Google Scholar]
- Tinto, V. (2012). Completing college: Rethinking institutional action. University of Chicago Press. [Google Scholar] [CrossRef]
- Trigueros, M. (2022). APOS theory and the role of the genetic decomposition. In Y. Chevallard, B. Barquero, M. Bosch, I. Florensa, J. Gascón, P. Nicolás, & N. Ruiz-Munzón (Eds.), Advances in the anthropological theory of the didactic (pp. 61–74). Birkhäuser. [Google Scholar] [CrossRef]
- van Merriënboer, J. J. G., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2), 147–177. [Google Scholar] [CrossRef]
- Vasilakopoulou, K., & Santamouris, M. (2025). Cumulative exposure to urban heat can affect the learning capacity of students and penalize the vulnerable and low-income young population: A systematic review. PLoS Climate, 4(7), E0000618. [Google Scholar] [CrossRef]
- Villa, A. M., III, & Sedlacek, Q. C. (2025). A systematic review of complex instruction in the United States. Intercultural Education, 36(1), 10–25. [Google Scholar] [CrossRef]
- von Glasersfeld, E. (1995). A constructivist approach to teaching. In L. P. Steffe, & J. Gale (Eds.), Constructivism in education (pp. 3–15). Lawrence Erlbaum Associates. [Google Scholar]
- Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press. [Google Scholar] [CrossRef]
- Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Child Psychology & Psychiatry & Allied Disciplines, 17(2), 89–100. [Google Scholar] [CrossRef]
| Framework | Core Theoretical Assumption | Observable Indicators in Student Narratives | Typical Forms of Evidence (Anticipated) |
|---|---|---|---|
| ZPD Cobb and Yackel (1996); Vygotsky (1978); Wood et al. (1976). | Calibrated mediation and temporary scaffolds enable performance beyond independent capability; equitable participation and safety are prerequisites. | Mentions of scaffolding, guidance, or peer explanation; talk about support gradually fading; references to inclusive or uneven participation. | Descriptions of collaborative problem-solving, supportive facilitation, or risk-taking within a non-judgmental group climate. |
| APOS Theory Asiala et al. (1996); Cottrill et al. (1996); Dubinsky and McDonald (2001). | Sequenced tasks promote movement from actions to internalized processes, reified objects, and integrated schemas. | Language signaling coordination across representations, explanations of “why it works”, or calls for structured consolidation. | Student reflections distinguishing procedural from conceptual understanding; requests to revisit or consolidate difficult ideas. |
| CLT Sweller (1988); Sweller et al. (2019); van Merriënboer and Sweller (2005). | Managing intrinsic and extraneous load frees working memory for schema construction; physical and temporal environments affect load. | Attributions of fatigue or confusion to crowding, time pressure, or unclear instructions; mentions of relief after breaks or debriefs. | References to environmental comfort, pacing, or clarity improving understanding. |
| Constructivism Cobb and Yackel (1996); von Glasersfeld (1995); Sfard (1998). | Social activity and reflection foster meaning-making, belonging, and identity when coupled with clear shared standards. | Narratives of collaboration, recognition, or community; self-reports of confidence or expressive growth; uncertainty when closure is missing. | Students describing mathematics as more social, reflective, or personally meaningful learning. |
| Framework | Observed Indicators and Student Evidence | Judgement 1 | Design Refinement/ Implication |
|---|---|---|---|
| ZPD | Students described the MTWs as non-judgmental and collaborative, enabling risk-taking and peer help. Some also noted dominance in groups without structured roles. | Supported, with equity qualification. | Embed explicit role rotation and participation routines to ensure equitable access to scaffolding. |
| APOS Theory | Learners contrasted “cramming steps” with deeper understanding and coordination across representations and requested brief revisits for consolidation. | Supported, with recursive nuance. | Institutionalize short revisit segments to reinforce encapsulation and schema building. |
| CLT | Students cited heat, crowding, layout, and time pressure as barriers to focus, and appreciated short debriefs, clear layouts, and regulation features (e.g., breathing exercises). | Strongly supported. | Manage extraneous load through venue selection, seating, pacing, and 5–8 min debriefs on key tasks. |
| Constructivism | Learners reported community, belonging (“it feels like a family”), and confidence gains, but some felt lost without signals of what would count as a good solution. | Affirmed, with a need for clearer closure. | End sessions with a concise “what counts” summary (e.g., features of a good explanation/diagram/proof) to anchor understanding. |
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Mokhithi, M.; Campbell, A.; Shock, J.; Padayachee, P. From Theory to Practice, and Back: Student Evidence Testing ZPD, APOS, CLT, and Constructivism in Mathematical Thinking Workshops. Educ. Sci. 2026, 16, 385. https://doi.org/10.3390/educsci16030385
Mokhithi M, Campbell A, Shock J, Padayachee P. From Theory to Practice, and Back: Student Evidence Testing ZPD, APOS, CLT, and Constructivism in Mathematical Thinking Workshops. Education Sciences. 2026; 16(3):385. https://doi.org/10.3390/educsci16030385
Chicago/Turabian StyleMokhithi, Mashudu, Anita Campbell, Jonathan Shock, and Pragashni Padayachee. 2026. "From Theory to Practice, and Back: Student Evidence Testing ZPD, APOS, CLT, and Constructivism in Mathematical Thinking Workshops" Education Sciences 16, no. 3: 385. https://doi.org/10.3390/educsci16030385
APA StyleMokhithi, M., Campbell, A., Shock, J., & Padayachee, P. (2026). From Theory to Practice, and Back: Student Evidence Testing ZPD, APOS, CLT, and Constructivism in Mathematical Thinking Workshops. Education Sciences, 16(3), 385. https://doi.org/10.3390/educsci16030385

