Perception of learning in programming lectures based on mental models
International Journal of Development Research
Perception of learning in programming lectures based on mental models
Received 15th July, 2020; Received in revised form 11th August, 2020; Accepted 26th September, 2020; Published online 30th October, 2020
Copyright © 2020, Elias J. R. Freitas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The understanding of the human mind and its ability to learn are objects of research in Cognitive Science. The way a person learns is unique, the result of her previous experiences and the development of her mental model. The understanding of how the students produce their mental models can favor the learning of several disciplines, as evidenced in several papers. In this context, this work investigates the combination of mental models used by students within the lecture of Programming in technical education classes. The analysis was based on a test that identifies strengths and weaknesses in the structuring of mental models.