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Learning Scientific Concepts with Text Mining Support

  • Eliseo Reategui
  • Ana Paula M. Costa
  • Daniel Epstein
  • Michel Carniato
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 804)

Abstract

This paper evaluates the use of a text mining tool to support learning of science concepts. The tool, called Sobek, extracts relevant information from unstructured data and represents it visually in a graph. Sobek was used here in an experiment with 36 students in 9th grade who had to learn concepts related to the particulate nature of matter. Students were divided in control (16) and experimental group (20). Students in the experimental group interacted with Sobek after reading a few texts, while the students in the control group carried out the activity in a more traditional way (reading/answering questions). Results from the experiment favored students in the experimental group, which led to the conclusion that Sobek did help students in the learning task.

Keywords

Text mining Refutational texts Graphic organizers 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Eliseo Reategui
    • 1
  • Ana Paula M. Costa
    • 2
  • Daniel Epstein
    • 1
  • Michel Carniato
    • 3
  1. 1.PPGIEFederal University of Rio Grande do Sul (UFRGS)Porto AlegreBrazil
  2. 2.PPGEDUFederal University of Rio Grande do Sul (UFRGS)Porto AlegreBrazil
  3. 3.Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)Porto AlegreBrazil

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