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Understanding Level Estimation Using Discussion Maps for Supporting Consensus-building
Author(s) -
Hironobu Takagi,
Kazutaka Shimada
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.161
Subject(s) - computer science , conversation , measure (data warehouse) , state (computer science) , artificial intelligence , human–computer interaction , data mining , algorithm , philosophy , linguistics
Problem-based learning (PBL), which is a learning method in small collaborative groups to learn what they need to know in order to solve a problem, is the more recent and highly regarded. For meaningful discussions about in a PBL situation, it is important to support and manage a conversation among participants. In this paper, we propose a consensus-building and management system using tablet terminals for an effective discussion. In our system, each participant generates a discussion map which consists of nodes and links between them about the discussion. Our system computes a correspondence measure between discussion maps of each participant, understands the state of the discussion and supports the consensus-building. We validate the effectiveness of the system using the discussion map experimentally

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