Can learning by qualitative modelling be deployed as an effective method for learning Subject-Specific Content?

Open Access
Authors
Publication date 2017
Host editors
  • É. Lavoué
  • H. Drachsler
  • K. Verbert
  • J. Broisin
  • M. Pérez-Sanagustín
Book title Data Driven Approaches in Digital Education
Book subtitle 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12–15, 2017 : proceedings
ISBN
  • 9783319666099
ISBN (electronic)
  • 9783319666105
Series Lecture Notes in Computer Science
Event 12th European Conference on Technology Enhanced Learning, EC-TEL 2017
Pages (from-to) 479-485
Number of pages 7
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
  • Faculty of Social and Behavioural Sciences (FMG) - Research Institute of Child Development and Education (RICDE)
Abstract

Modelling can help understanding dynamic systems, but learning how to model is a difficult and time-consuming task. The challenge is to foster modelling skills, while not limiting the learning of regular subject matter, or better, to also improve this learning. We investigate how learning by qualitative modelling can be as successful as a regular classroom setting that uses an active and stimulating approach. 74 students from two high schools participated in two Biology lessons. Particularly, in the school 2 study, students in the modelling condition improved as much as students in the control group.

Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-319-66610-5_46
Other links https://www.scopus.com/pages/publications/85029575448
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