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A Mathematical Modelling Unit for First-Year Engineering Students

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A Mathematical Modelling Unit for First-Year Engineering Students

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dc.contributor.author Durandt, Rina es_ES
dc.contributor.author Blum, Werner es_ES
dc.contributor.author Lindl, Alfred es_ES
dc.date.accessioned 2022-02-01T08:59:31Z
dc.date.available 2022-02-01T08:59:31Z
dc.date.issued 2022-01-29
dc.identifier.uri http://hdl.handle.net/10251/180407
dc.description.abstract [EN] This paper is practice-oriented and reports on a mathematical modelling unit specifically developed for first-year engineering students in a South African context. The main idea with the unit was to foster students’ mathematical modelling competency development. This idea supports an essential goal of mathematics teaching, that is to enable students to solve real - world problems by means of mathematics. The unit consists of five lessons and several tasks, carefully planned to consider students’ mathematical pre-knowledge, the demands of the first-year mathematics (calculus) curriculum and the intended competency development. The unit was linked to the mathematical topic of functions and taught for different groups of students according to two different teaching designs, similar to the designs used in the German DISUM project. 144 first year engineering students from the extended curriculum programme of a large public university were divided in three groups and exposed to the unit. An empirical evaluation of the intervention (with a pre-post-test design) showed a significant competency growth for all groups, with substantial differences, dependent on the teaching design. Some strengths and shortcomings of the unit will be identified and implications for future practice will be discussed. es_ES
dc.description.abstract [ES] Este artículo está orientado a la práctica e informa sobre una unidad de modelización matemática desarrollada específicamente para estudiantes de primer año de ingeniería en un contexto sudafricano. La idea principal de la unidad era fomentar el desarrollo de la competencia de modelización matemática de los estudiantes. Esta idea apoya un objetivo esencial de la enseñanza de las matemáticas, que es permitir a los estudiantes resolver problemas del mundo real por medio de las matemáticas. La unidad consta de cinco lecciones y varias tareas, cuidadosamente planificadas para tener en cuenta los conocimientos matemáticos previos de los alumnos, las exigencias del plan de estudios de matemáticas de primer curso (cálculo) y el desarrollo de competencias previsto. La unidad se vinculó al tema matemático de las funciones y se impartió a distintos grupos de estudiantes según dos diseños didácticos diferentes, similares a los utilizados en el proyecto alemán DISUM. Se dividieron en tres grupos 144 estudiantes de primer año de ingeniería del programa curricular ampliado de una gran universidad pública y se les expuso la unidad. Una evaluación empírica de la intervención (con un diseño pre-post-test) mostró un crecimiento significativo de las competencias en todos los grupos, con diferencias sustanciales, dependiendo del diseño didáctico. Se identificarán algunos puntos fuertes y deficiencias de la unidad y se discutirán las implicaciones para la práctica futura. es_ES
dc.description.sponsorship This work is based on the research partially supported by the National Research Foundation (NRF) of South Africa, Unique Grant No. 121969. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Modelling in Science Education and Learning es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject Estudiantes de primer año de ingeniería es_ES
dc.subject Competencia en modelización matemática es_ES
dc.subject Unidad de modelización matemática es_ES
dc.subject Problemas del mundo real es_ES
dc.subject Diseño de enseñanza es_ES
dc.subject First-year engineering students es_ES
dc.subject Mathematical modelling competency es_ES
dc.subject Mathematical modelling unit es_ES
dc.subject Real-world problems es_ES
dc.subject Teaching design es_ES
dc.title A Mathematical Modelling Unit for First-Year Engineering Students es_ES
dc.title.alternative Unidad de Modelización Matemática para estudiantes de primer año de Ingeniería es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/msel.2022.16646
dc.relation.projectID info:eu-repo/grantAgreement/NRF//X121969/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Durandt, R.; Blum, W.; Lindl, A. (2022). A Mathematical Modelling Unit for First-Year Engineering Students. Modelling in Science Education and Learning. 15(1):77-92. https://doi.org/10.4995/msel.2022.16646 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/msel.2022.16646 es_ES
dc.description.upvformatpinicio 77 es_ES
dc.description.upvformatpfin 92 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 1988-3145
dc.relation.pasarela OJS\16646 es_ES
dc.contributor.funder National Research Foundation, South Africa es_ES
dc.description.references Blum, W. (2011). Can modelling be taught and learnt? Some answers from empirical research. In G. Kaiser, W. Blum, R. Borromeo Ferri, & G. Stillman (Eds.), Trends in Teach¬ing and Learning of Mathematical Modelling (ICTMA 14) (pp. 15-30). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-0910-2_3 es_ES
dc.description.references Blum, W. (2015). Quality teaching of mathematical modelling: What do we know, what can we do? In S.J. Cho (Ed.), The Proceedings of the 12th International Congress on Mathematical Education - Intellectual and Attitudinal Challenges (pp. 73-96). New York: Springer. https://doi.org/10.1007/978-3-319-12688-3_9 es_ES
dc.description.references Blum, W., & Leiß, D. (2007). How do students and teachers deal with modelling problems? In C. Haines, P. Galbraith, W. Blum, & S. Khan (Eds.), Mathematical modelling: Education, engineering and economics (pp. 222-231). Chichester: Horwood. https://doi.org/10.1533/9780857099419.5.221 es_ES
dc.description.references Blum, W., & Schukajlow, S. (2018). Selbständiges Lernen mit Modellierungsaufgaben - Untersuchung von Lern¬umgebungen zum Modellieren im Projekt DISUM. In S. Schukajlow, & W. Blum (Eds.), Evaluierte Lernumgebungen zum Modellieren (pp. 51-72). Wiesbaden: Springer Spektrum. https://doi.org/10.1007/978-3-658-20325-2_4 es_ES
dc.description.references Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32-42. https://doi.org/10.3102/0013189X018001032 es_ES
dc.description.references De Villiers, L., & Wessels, D. (2020). Concurrent development of engineering technician and mathematical modelling competencies. In G. Stillman, G. Kaiser, & C.E. Lampen (Eds.), Mathematical Modelling Education and Sense-making (pp. 209-219). Cham: Springer. https://doi.org/10.1007/978-3-030-37673-4_19 es_ES
dc.description.references Du Plessis, L., & Gerber, D. (2012). Academic preparedness of students: An exploratory study. The journal for transdisciplinary research in Southern Africa, 8, 81-94. https://doi.org/10.4102/td.v8i1.7 es_ES
dc.description.references Durandt, R. (2018). A strategy for the integration of mathematical modelling into the formal education of mathematics student teachers. Doctoral dissertation, University of Johannesburg. es_ES
dc.description.references Durandt, R., Blum, W., & Lindl, A. (2021). How does the teaching design influence engineering students' learning of mathematical modelling? An empirical study in a South African context. In F. Leung, G. A. Stillman, G. Kaiser, & K. L. Wong (Eds.), Mathematical modelling education in East and West. International perspectives on the teaching and learning of mathematical modelling (pp. 539-549). Cham: Springer. https://doi.org/10.1007/978-3-030-66996-6_45 es_ES
dc.description.references Haines, C., Crouch, R., & Davies, J. (2001). Understanding students' modelling skills. In J. Matos, W. Blum, K. Houston, & S. Carreira (Eds.), Modelling and Mathematics Education, ICTMA 9: Applications in Science and Technology (pp. 366-380). Chichester: Horwood. https://doi.org/10.1533/9780857099655.5.366 es_ES
dc.description.references Herget, W., & Torres-Skoumal, M. (2007). Picture (im)perfect mathematics! In W. Blum, P.L. Galbraith, H.-W. Henn, & M. Niss (Eds.). Modelling and Applications in Mathematics Education (pp. 379-386). New York: Springer. https://doi.org/10.1007/978-0-387-29822-1_41 es_ES
dc.description.references Hilbert, S., Stadler, M., Lindl, A., Naumann, F., & Bühner, M. (2019). Analyzing longitudinal intervention studies with linear mixed models. Testing, Psychometrics, Methodology in Applied Psychology, 26, 101-119. es_ES
dc.description.references Kaiser, G. (2017). The teaching and learning of mathematical modeling. In J. Cai (Ed.), Compendium for Research in Mathematics Education (pp. 267-291). Reston: NCTM. es_ES
dc.description.references Schau, C. (2003). Students' attitudes: The 'other' important outcomes in statistics education. In H. Pan, Q. Chen, E. Stern, & D.A. Silbersweig (Eds.), Proceedings of the Joint Statistical Meeting, (pp. 3673-3683), San Francisco, CA: American Statistical Association. es_ES
dc.description.references Schau, C., Stevens, J., Dauphinee, T. L., & Del Vecchio, A. (1995). The development and validation of the Survey of Attitudes toward Statistics. Educational and Psychological Measurement, 55, 868-875. https://doi.org/10.1177/0013164495055005022 es_ES
dc.description.references Schukajlow, S., Kolter, J., & Blum, W. (2015). Scaffolding mathematical modelling with a solution plan. ZDM: The International Journal on Mathematics Education, 47(7), 1241-1254. https://doi.org/10.1007/s11858-015-0707-2 es_ES
dc.description.references Stender, P., & Kaiser, G. (2016). Fostering modeling competencies for complex situations. In C. Hirsch, & A.R. McDuffie (Eds.), Mathematical Modeling and Modeling Mathematics (pp. 107-115). Reston: NCTM. es_ES
dc.description.references Stewart, J. (2016). Essential calculus. London: Brooks/Cole Cengage Learning. es_ES
dc.description.references Stewart, J., Redlin, L., & Watson, S. (2012). Precalculus: Mathematics for calculus. London: Brooks/Cole Cengage Learning. es_ES
dc.description.references Stillman, G. (2019). State of the art on modelling in mathematics education: Lines of inquiry. In G. Stillman, & J. Brown (Eds.), Lines of Inquiry of Mathematical Modelling Research in Education (pp. 1-19). Cham: Springer. https://doi.org/10.1007/978-3-030-14931-4_1 es_ES
dc.description.references Niss, M., & Blum, W. (2020). The Teaching and Learning of Mathematical Modelling. London: Routledge. https://doi.org/10.4324/9781315189314 es_ES
dc.description.references Plath, J., & Leiß, D. (2018). The impact of linguistic complexity on the solution of math¬ematical modelling tasks. ZDM: The International Journal on Mathematics Education, 50(1+2), 159-171. https://doi.org/10.1007/s11858-017-0897-x es_ES
dc.description.references Pollak, H. (1979). The interaction between mathematics and other school subjects. In: UNESCO (Ed.), New Trends in Mathematics Teaching IV (pp. 232-248). Paris: UNESCO. es_ES
dc.description.references Reddy, V., Winnaar, L., Juan, A., Arends, F., Harvey, J., Hannan, S., Namome, C., Sekhejane, P., & Zulu, N. (2020). TIMSS 2019: Highlights of South African grade 9 results in mathematics and science. Achievement and achievement gaps. Pretoria: Department of Basic Education. es_ES
dc.description.references Vorhölter, K., Krüger, A., & Wendt, L. (2019). Metacognition in mathematical modeling: An overview. In S. A. Chamberlin, & B. Sriraman (Eds.), Affect in Mathematical Modeling (pp. 29-51). Cham: Springer. https://doi.org/10.1007/978-3-030-04432-9_3 es_ES


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