Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/31813| Título: | Lab classes in chemistry learning an artificial intelligence view |
| Autor(es): | Figueiredo, Margarida Esteves, M. Lurdes Neves, José Vicente, Henrique |
| Palavras-chave: | Artificial Intelligence Chemistry Learning Decision Trees k-Means Lab Classes Lab Work |
| Data: | 2014 |
| Editora: | Springer |
| Revista: | Advances in Intelligent Systems and Computing |
| Resumo(s): | 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. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/31813 |
| ISBN: | 978-3-319-07994-3 978-3-319-07995-0 |
| DOI: | 10.1007/978-3-319-07995-0_56 |
| ISSN: | 2194-5357 |
| Versão da editora: | http://link.springer.com/chapter/10.1007/978-3-319-07995-0_56 |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | DI/CCTC - Livros e Capítulos de livros |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 2014_ICEUTE_2014_V1.pdf | 1,86 MB | Adobe PDF | Ver/Abrir |
