Lab Classes in Chemistry Learning an Artificial Intelligence View

  • Margarida FigueiredoEmail author
  • M. Lurdes Esteves
  • José Neves
  • Henrique Vicente
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 299)


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.


Artificial Intelligence Chemistry Learning Decision Trees k-Means Lab Classes Lab Work 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Margarida Figueiredo
    • 1
    Email author
  • M. Lurdes Esteves
    • 1
  • José Neves
    • 2
  • Henrique Vicente
    • 1
  1. 1.Departamento de Química e Centro de Química de ÉvoraUniversidade de ÉvoraÉvoraPortugal
  2. 2.Departamento de InformáticaUniversidade do MinhoBragaPortugal

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