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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/11351
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| Title: | Lab Classes in Chemistry Learning - An Artificial Intelligence View |
| Authors: | Figueiredo, Margarida
Esteves, M. Lurdes
Neves, José
Vicente, Henrique |
| Editors: | de la Puerta, José Gaviria
Ferreira, Iván García
Bringas, Pablo Garcia
Klett, Fanny
Abraham, Ajith
de Carvalho, André C.P.L.F.
Herrero, Álvaro
Baruque, Bruno
Quintián, Héctor
Corchado, Emilio |
| Keywords: | Artificial Intelligence
Chemistry Learning
Decision Trees
k-Means
Lab Classes
Lab Work |
| 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. |
| URI: | http://hdl.handle.net/10174/11351 |
| ISBN: | 978-3-319-07994-3 |
| ISSN: | 2194-5357 |
| Type: | bookPart |
| Appears in Collections: | QUI - Publicações - Capítulos de Livros
CQE - Publicações - Capítulos de Livros
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