Arslan, S. (2010). Traditional instruction of differential equations and conceptual learning. Teaching mathematics and its applications: An International Journal of the IMA, 29(2), 94-107.
Barquero, B., Serrano, L., & Ruiz-Munzón, N. (2016, March). A bridge between inquiry and transmission: The study and research paths at university level. In First Conference of International Network for Didactic Research in University Mathematics.
Berry, J., & Davies, A. (1996). Written reports. In C.R. Haines and S. Dunthorne, (Eds.) Mathematics Learning and Assessment: Sharing Innovative Practices, 3.3 - 3.11. London: Arnold.
Blum, W. (1996). Anwendungsbezüge im Mathematikunterricht–Trends und perspektiven. Schriftenreihe Didaktik der Mathematik, 23, 15-38.
Blum, W., & Leiß, D. (2007). Deal with modelling problems. Mathematical modelling: Education, engineering and economics-ICTMA, 12, 222.
Boyce, W. E., DiPrima, R. C., & Meade, D. B. (2021). Elementary differential equations and boundary value problems. John Wiley & Sons.
Cai, J., Cirillo, M., Pelesko, J., Bommero Ferri, R., Borba, M., Geiger, V., & Kaiser, G. (2014). Mathematical modeling in school education: Mathematical, cognitive, curricular, instructional and teacher educational perspectives. In Proceedings of the 38th Conference of the International Group for the Psychology of Mathematics Education and the 36th Conference of the North American Chapter of the Psychology of Mathematics Education (pp. 145-172). Springer.
Camacho-Machín, M., & Guerrero-Ortiz, C. (2015). Identifying and exploring relationships between contextual situations and ordinary differential equations. International Journal of Mathematical Education in Science and Technology, 46(8), 1077-1095.
Chevallard, Y., & Bosch, M. (2020). Anthropological Theory of the Didactic (ATD). Encyclopedia of Mathematics Education, 220-223.
Czocher, J. A. (2017a). How can emphasizing mathematical modeling principles benefit students in a traditionally taught differential equations course? The Journal of Mathematical Behavior, 45, 78-94.
Czocher, J. A. (2017b). Mathematical modeling cycles as a task design heuristic.
Czocher, J. A., Tague, J., & Baker, G. (2013). Where does the calculus go? An investigation of how calculus ideas are used in later coursework. International Journal of Mathematical Education in Science and Technology, 44(5), 673-684.
Dorier, J. L., & Maass, K. (2020). Inquiry-based mathematics education. Encyclopedia of mathematics education, 384-388.
English, L. (2003). Mathematical modelling with young learners. In Mathematical modelling (pp. 3-17). Woodhead Publishing.
Ferri, R. B. (2006). Theoretical and empirical differentiations of phases in the modelling process. ZDM, 38(2), 86-95.
Galbraith, P., & Stillman, G. (2006). A framework for identifying student blockages during transitions in the modelling process. ZDM, 38(2), 143-162.
Gall, M. D., Borg, W. R., & Gall, J. P. (1996). Educational research: An introduction. Longman Publishing.
Garfunkel, S. A., Montgomery, M., Bliss, K., Fowler, K., Galluzzo, B., Giordano, F., & Zbiek, R. (2016). GAIMME: Guidelines for assessment & instruction in mathematical modeling education. Consortium for Mathematics and Its Applications.
Kaiser, G. (2020). Mathematical modelling and applications in education. Encyclopedia of mathematics education, 553-561.
Kaiser, G., & Sriraman, B. (2006). A global survey of international perspectives on modelling in mathematics education. Zdm, 38(3), 302-310.
Kaiser-Messmer, G. (1986). Anwendungen im mathematikunterricht. 2. empirische untersuchungen. Franzbecker.
Keene, K. A. (2007). A characterization of dynamic reasoning: Reasoning with time as parameter. The Journal of Mathematical Behavior, 26(3), 230-246.
Kwon, O. N. (2020). Differential equations teaching and learning. Encyclopedia of Mathematics Education, 220-223.
Kwon, O. N., Rasmussen, C., & Allen, K. (2005). Students' retention of mathematical knowledge and skills in differential equations. School science and mathematics, 105(5), 227-239.
Lucas, W. F. (Ed.). (1983). Modules in applied mathematics. Springer-Verlag.
Mousoulides, N. G., Christou, C., & Sriraman, B. (2008). A modeling perspective on the teaching and learning of mathematical problem solving. Mathematical Thinking and Learning, 10(3), 293-304.
Pollak, H. O. (1968). On some of the problems of teaching applications of mathematics. Educational Studies in Mathematics, 1(1-2), 24-30.
Rasmussen, C. L. (2001). New directions in differential equations: A framework for interpreting students' understandings and difficulties. The Journal of Mathematical Behavior, 20(1), 55-87.
Rasmussen, C., Kwon, O. N., 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.
Rasmussen, C., Zandieh, M., & Wawro, M. (2009). How do you know which way the arrows go. Mathematical Representation at the Interface of Body and Culture, 171.
Rowland, D. R., & Jovanoski, Z. (2004). Student interpretations of the terms in first-order ordinary differential equations in modelling contexts. International Journal of Mathematical Education in Science and Technology, 35(4), 503-516.
Simmons, G. F. (2016). Differential equations with applications and historical notes. CRC Press.
Treilibs, V., Burkhardt, H., & Low, B. (1980). Formulation processes in mathematical modelling. Shell Centre for Mathematical Education, University of Nottingham.
Van den Heuvel-Panhuizen, M., & Drijvers, P. (2020). Realistic mathematics education. Encyclopedia of mathematics education, 713-717.
Yildirim, T. P. (2011). Understanding the Modeling Skill Shift in Engineering: The Impact of Self-Efficacy, Epistemology, and Metacognition (Doctoral dissertation, University of Pittsburgh).
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