In collaborative learning, participants generate their own answers by exchanging their opinions through a discussion. Since the discussion in a collaborative learning includes knowledge for solving an exercise, the collaborative learning record is useful for other learners who tackle the same exercise. We propose a method for organizing solution knowledge in collaborative learning records as a solution knowledge graph. In this method, utterance collections of the same answering method are extracted and structured from a viewpoint of their effectiveness based on annotations attached by participants. In addition, the structure of the solution knowledge graph is refined by learning records of self-learners who use it as knowledge for solving exercises. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Watanabe, Y., Kojiri, T., & Watanabe, T. (2009). Organization of solution knowledge graph from collaborative learning records. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5712 LNAI, pp. 564–571). https://doi.org/10.1007/978-3-642-04592-9_70
Mendeley helps you to discover research relevant for your work.