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Title: An Assessment of the Weight of the Experimental Component in Physics and Chemistry Classes
Authors: Figueiredo, Margarida
Esteves, M. Lurdes
Chaves, Humberto
Neves, José
Vicente, Henrique
Keywords: Experimental Work
Chemistry Teaching
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
Decision Support System
Issue Date: 2022
Citation: Figueiredo, M., Esteves, M.L, Chaves, H., Neves, J. & Vicente, H., An Assess-ment of theWeight of the Experimental Component in Physics and Chemistry Classes. Lecture Notes in Networks and Systems, 363: 338–349, 2022.
Abstract: Experimental work plays a central role in Physics and Chemistry teaching. 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 com-prising 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 present-ed, considering the teachers’ opinions in terms of Best and Worst-case Sce-narios, 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%.
2367-3389 (electronic)
ISSN: 2367-3370 (paper)
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
LAVQ-REQUIMTE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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