Knowledge Extraction and Analysis on Collaborative Interaction

  • Authors:

  • Ronghuai Huang;Huanglingzi Liu

  • Affiliations:

  • Institute of Knowledge Science & Engineering, Beijing Normal University, 19 Xinjiekouwai St., Beijing, 100875, China;Institute of Knowledge Science & Engineering, Beijing Normal University, 19 Xinjiekouwai St., Beijing, 100875, China

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
  • Year:
  • 2005

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Abstract

E-learning is popularized so fast and Collaborative Learning (CL) becomes so important an instructional strategy. There are huge Group Session (GS) texts needed to be analyzed to evaluate CL, thus the automatic or semi-automatic methods of analyzing the GS texts become very important. In this paper we present a method called Interaction Analysis depended on Knowledge Extraction (IAKE) to analyze collaborative learning by extracting knowledge from the GS texts. This method is based on a GS text analysis approach we proposed it as Theme based Knowledge Extraction (TKE).