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|Title: ||Lab Classes in Chemistry Learning - An Artificial Intelligence View|
|Authors: ||Figueiredo, Margarida|
Esteves, M. Lurdes
|Editors: ||de la Puerta, José Gaviria|
Ferreira, Iván García
Bringas, Pablo Garcia
de Carvalho, André C.P.L.F.
|Keywords: ||Artificial Intelligence|
|Issue Date: ||30-Jun-2014|
|Publisher: ||Springer International Publishing|
|Citation: ||Figueiredo, M., Esteves, M.L., Neves, J. & Vicente, H., Lab Classes in Chemistry Learning – An Artificial Intelligence View. In J.G. Puerta, I.G. Ferreira, P.G. Bringas, F. Klett, A. Abraham, A.C. Carvalho, Á. Herrero, B. Baruque, H. Quintián & E. Corchado Eds., International Joint Conference SOCO’14 – CISIS’14 – ICEUTE’14, Advances in Intelligent Systems and Computing, Vol. 299, pp. 565–575, Springer International Publishing, Cham, Switzerland, 2014.|
|Abstract: ||The teaching methodology used in lab classes in Chemistry Learning was studied for a cohort of 702 students in the 10th grade of Portuguese Secondary Schools. The k-Means Clustering Method, with k values ranging between 2 (two) and 4 (four), was used in order to segment the data. Decision Trees were used for the development of explanatory models of the segmentation. The results obtained showed that the majority of the answerers considered that experimentation is central on Chemistry learning. The results also showed that the significance of research in Chemistry learning is strongly dependent on the students’ involvement in lab work.|
|Appears in Collections:||QUI - Publicações - Capítulos de Livros|
CQE - Publicações - Capítulos de Livros
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