Supporting deep understanding with emerging technologies in a STEM university math class
Fecha
Autores
Brunetto, Domenico
Marchionna, Clelia
Repossi, Elisabetta
Directores
Unidades organizativas
Handle
https://riunet.upv.es/handle/10251/146441
Cita bibliográfica
Brunetto, D.; Marchionna, C.; Repossi, E. (2020). Supporting deep understanding with emerging technologies in a STEM university math class. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020):569-577. https://doi.org/10.4995/HEAd20.2020.11109
Titulación
Resumen
[EN] 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.
Palabras clave
Higher Education, Learning, Educational systems, Teaching, Flipped learning, Calculus, First-year, Engineering degrees, Multivariable functions, Matlab, Instructor videos
ISSN
2603-5871
ISBN
9788490488119
Fuente
6th International Conference on Higher Education Advances (HEAd'20)
DOI
10.4995/HEAd20.2020.11109
Editorial
Editorial Universitat Politècnica de València
Versión del editor
http://ocs.editorial.upv.es/index.php/HEAD/HEAd20/paper/view/11109