[PRECONC 4] Switching between modes of representation of a model to overcome preconceptions and boost learning processes | BEAMS

[PRECONC 4] Switching between modes of representation of a model to overcome preconceptions and boost learning processes

Project information
Project type: 
Master thesis
Academic year: 
2018-2019
Status: 
Proposal
Research unit: 
Embedded Electronics
BEAMS supervisors
Academic promoter
Supervisor

Our research works in didactics of applied sciences have led us to develop an original framework of what is a preconception and how to overcome it : the Overgeneralized Domain of Validity-based Framework.

Concurrently with the changes in domain of validity associated to a scientific model, a retrospective application of this framework to the evolution of a major scientific discovery (Maxwell equations) led us to consider the importance of the types of representations used to understand real scientific phenomena.

Those types of representations (semiotic registers) are well-known by all of us : physical interpretations, mathematical equations, graphs, diagrams, computations, etc. (see Figure from Zwickl et al. (2015).
We discovered there is a link between the way we learn and the transitions between different kinds of representations.

The aim of this master thesis is to go from our first assumptions and discoveries to an enhancement of the Overgeneralized Domain of Validity-based Framework and of effective learning strategies helping students to overcome their preconceptions which act as learning obstacles.

 

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