New Perspectives in Science Education

Edition 16

Accepted Abstracts

Interactive Pedagogical Support for Mathematical Formalization in Engineering Education

Valentina Todorova-Lazarova, Technical University of Gabrovo (Bulgaria)

Abstract

Mathematical formalization is a critical component of mathematical modelling in engineering education, requiring students to identify relevant quantities, establish relationships, select appropriate mathematical structures, and express them symbolically. Difficulties in these actions may prevent students from constructing a suitable mathematical model, even when they possess the necessary mathematical knowledge. This paper proposes a theoretically grounded framework for interactive pedagogical support aimed at addressing difficulties arising during mathematical formalization. The framework distinguishes four sequential actions: identification of relevant quantities (I), recognition of relationships (R), selection of a mathematical structure (P), and formal mathematical representation (F). Interpretation (INT) and verification (V) are considered independent diagnostic dimensions rather than successive stages of formalization. The proposed approach connects observable student difficulties with specific instructional objectives and interactive learning activities. It emphasizes the use of targeted questions, comparison of alternative representations, collaborative discussion, and guided exploration, with the selection of support adjusted according to students' responses. The framework is illustrated through mathematical modelling tasks involving systems of linear equations, optimization using functions of one variable, and differential equations. These examples demonstrate how pedagogical support can be adapted to different mathematical structures while maintaining a consistent diagnostic principle. The contribution of the paper is a structured approach to selecting and adjusting interactive support during mathematical formalization, rather than an empirical evaluation of its effectiveness.
 
Keywords: mathematical formalization, mathematical modelling, interactive pedagogical support, engineering education, scaffolding.
 
REFERENCES
 
[1] Ainsworth, S. (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16(3), 183–198. https://doi.org/10.1016/j.learninstruc.2006.03.001
[2] Cevikbas, M., Kaiser, G., & Schukajlow, S. (2022). A systematic literature review of the current discussion on mathematical modelling competencies: state-of-the-art developments in conceptualizing, measuring, and fostering. Educational Studies in Mathematics, 109(2), 205–236. https://doi.org/10.1007/s10649-021-10104-6
[3] Chi, M. T. H., & 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
[4] Crouch, R., & Haines, C. (2004). Mathematical modelling: transitions between the real world and the mathematical model. International Journal of Mathematical Education in Science and Technology, 35(2), 197–206. https://doi.org/10.1080/00207390310001638322
[5] Durandt, R., Blum, W., & Lindl, A. (2022). Fostering mathematical modelling competency of South African engineering students: which influence does the teaching design have? Educational Studies in Mathematics, 109(2), 361–381. https://doi.org/10.1007/s10649-021-10068-7
[6] Duval, R. (2006). A Cognitive Analysis of Problems of Comprehension in a Learning of Mathematics. Educational Studies in Mathematics, 61(1–2), 103–131. https://doi.org/10.1007/s10649-006-0400-z
[7] Galbraith, P., & Stillman, G. (2006). A framework for identifying student blockages during transitions in the modelling process. ZDM, 38(2), 143–162. https://doi.org/10.1007/BF02655886
[8] Gerber, S., Quarder, J., Greefrath, G., & Siller, H.-S. (2023). Promoting adaptive intervention competence for teaching simulations and mathematical modelling with digital tools: theoretical background and empirical analysis of a university course in teacher education. Frontiers in Education, 8, 1141063. https://doi.org/10.3389/feduc.2023.1141063
[9] Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19, 509–539. https://doi.org/10.1007/s10648-007-9054-3
[10] Krawitz, J., Chang, Y.-P., Yang, K.-L., & Schukajlow, S. (2022). The role of reading comprehension in mathematical modelling: improving the construction of a real-world model and interest in Germany and Taiwan. Educational Studies in Mathematics, 109(2), 337–359. https://doi.org/10.1007/s10649-021-10058-9
[11] Renkl, A. (2014). Toward an Instructionally Oriented Theory of Example-Based Learning. Cognitive Science, 38(1), 1–37. https://doi.org/10.1111/cogs.12086
[12] Schukajlow, S., Krawitz, J., Kanefke, J., Blum, W., & Rakoczy, K. (2023). Open modelling problems: cognitive barriers and instructional prompts. Educational Studies in Mathematics, 114(3), 417–438. https://doi.org/10.1007/s10649-023-10265-6
[13] Siller, H.-S., Nitzan-Tamar, O., & Kohen, Z. (2023). Scaffolding practices for modelling instruction in STEM-related contexts: insights from expert and novice teachers. ZDM – Mathematics Education, 55, 1351–1364. https://doi.org/10.1007/s11858-023-01529-9
[14] Tropper, N., Leiss, D., & Hänze, M. (2015). Teachers’ temporary support and worked-out examples as elements of scaffolding in mathematical modeling. ZDM – Mathematics Education, 47(7), 1225–1240. https://doi.org/10.1007/s11858-015-0718-z
[15] Van de Pol, J., Volman, M., & Beishuizen, J. (2010). Scaffolding in Teacher–Student Interaction: A Decade of Research. Educational Psychology Review, 22(3), 271–296. https://doi.org/10.1007/s10648-010-9127-6
 

Back to the list

REGISTER NOW

Reserved area


Indexed in


Media Partners:

Click BrownWalker Press logo for the International Academic and Industry Conference Event Calendar announcing scientific, academic and industry gatherings, online events, call for papers and journal articles
Pixel - Via Luigi Lanzi 12 - 50134 Firenze (FI) - VAT IT 05118710481
    Copyright © 2026 - All rights reserved

Privacy Policy

Webmaster: Pinzani.it