Supporting deep understanding with emerging technologies in a STEM university math class
| Autor: | Elisabetta Repossi, Domenico Brunetto, C. Marchionna |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Multivariable functions
Class (computer programming) Engineering degrees First-year engineering degree Calculus Higher education business.industry Emerging technologies Teaching Flipped learning Educational systems Higher Education Flipped learning Calculus First-year engineering degree Multivariable functions Matlab Instructor videos Function of several real variables Mathematics education ComputingMilieux_COMPUTERSANDEDUCATION Learning Instructor videos First-year business Matlab |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| DOI: | 10.4995/head20.2020.11109 |
| Popis: | In this work we present an innovative learning environment format, based on student-centred activities, that may support undergraduate students to deep understanding mathematics in the first year of engineering university. In particular, we refer to the difficulties students meet in the transition from the high school mathematics to the one they meet at university, which requires a significant shift to conceptual understanding, especially in Calculus courses. The goal of this presentation is to investigate the case of multivariable functions, a topic at the foundation of many mathematical models and its application. We show the results of the first pilot study which involves 160 undergraduate students. More precisely, we report how a flipped-learning approach based on online activities and working group allows students to deep understand the main properties concerning multivariable functions. |
| Databáze: | OpenAIRE |
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