Contributions of Model-Based Learning to the Restructuring of Graduation Students' Mental Models on Natural Hazards

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Moutinho, S (Autor) Outra; Moura, R (Autor) FCUP; Clara Vasconcelos (Autor) FCUP

Revista

Título: Eurasia Journal of Mathematics, Science and Technology Education

Vol. 13

Páginas: 3043-3068

ISSN: 1305-8215

Editora: Modestum

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-00R-ARF

DOI: 10.12973/eurasia.2017.00704a

Abstract (EN): Model-Based learning is a methodology that facilitates students' construction of scientific knowledge, which, sometimes, includes restructuring their mental models. Taking into consideration students' learning process, its aim is to promote a deeper understanding of phenomena's dynamics through the manipulation of models. Our aim was to ascertain whether the use of three different types of models, integrated into an intervention program whose goal was to teach the "seismic effects on soils and buildings", would influence the learning process of graduation students or not. For a better understanding of the results, the data were collected and analyzed through a combination of methods using, simultaneously, quantitative and qualitative method. And results not only confirmed the importance of the use of models, but also led us to the conclusion that despite the potential and limitations of all three models, mixed models are better for restructuring students' mental models and the development of meaningful learning.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 26