Explorative Data Mining of Constructivist Learning Experiences and Activities with Multiple Dimensions

نویسندگان

  • Patrick Wessa
  • Bart Baesens
چکیده

This paper discusses the use of explorative data mining tools that allow the educator to explore new relationships between reported learning experiences and actual activities, even if there are multiple dimensions with a large number of measured items. The underlying technology is based on the so-called Compendium Platform for Reproducible Computing (http://www.freestatistics.org) which was built on top the computational R Framework (http://www.wessa.net). Keywords—Reproducible computing, data mining, explorative data analysis, compendium technology, computer assisted education

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تاریخ انتشار 2009