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Title: An assessment of the weight of the experimental component in physics and chemistry classes
Other Titles: Lecture notes in networks and systems book series (LNNS,volume 363)
Authors: Figueiredo, M.
Esteves, M.
Chaves, Humberto
Neves, J.
Vicente, H.
Keywords: Experimental work
Knowledge representation and reasoning
Logic programming
Artificial neural networks
Decision support system
Issue Date: Jan-2022
Publisher: Springer
Citation: Figueiredo, M., Esteves, M., Chaves, H., Neves, J. & Vicente, H. (2021, dezembro 13-14). An assessment of the weight of the experimental component in physics and chemistry classes. [Conference proceedings]. 4th international conference on “Modelling, Computation and Optimization in Information Systems and Management Sciences” MCO 2021. Online.
Abstract: ExperimentalworkplaysacentralroleinPhysicsandChemistryteach- ing. However, the use of experimental work depends on the perception that teacher has about the gains in terms of the students’ motivation and learning. Thus, this study aims to evaluate the weight of the experimental component in the chemistry teaching focusing on four topics, i.e., material resources, teaching methodologies, learning achievements, and teacher engagement. For this purpose, a questionnaire was developed and applied to a cohort comprising 129 Physics and Chemistry teachers of both genders, aged between 26 and 60 years old. The questionnaire consists of two sections, the first of which contains general questions, whereas the second contains information on the topics mentioned above. Mathematical-logical programs are presented, considering the teachers’ opinions in terms of Best and Worst-case Scenarios, complemented with a computer approach based on artificial neural networks. The model was trained and tested with real data exhibiting an overall accuracy of 91.5%.
Peer reviewed: yes
ISBN: 978-3-030-92666-3
Publisher version:
Appears in Collections:D-TCA - Comunicações com peer review

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