Assistance in Building Student Models Using Knowledge Representation and Machine Learning

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• 作者：Sébastien Lallé (23) (24)
  Vanda Luengo (23)
  Nathalie Guin (24)
  
• 关键词：Knowledge diagnostic ; authoring tool ; machine learning
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：7926
• 期：1
• 页码：758-761
• 全文大小：162KB
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• 作者单位：Sébastien Lallé (23) (24)
  Vanda Luengo (23)
  Nathalie Guin (24)
  
  23. LIG METAH, Joseph Fourier University, Grenoble, France
  24. LIRIS, UMR5205, Université de Lyon, CNRS Université Lyon 1, F-69622, France
  
• ISSN：1611-3349

文摘

We propose a method and a first authoring tool to assist the design and implementation of diagnostic techniques. This method is independent from the domain and allows building more than one technique at once. The method is based on knowledge representation and a semi-automatic machine learning algorithm. We tested the method in two domains, surgery and reading English. Techniques built with our method beat the majority class in terms of accuracy.