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Utilization of Past Remarks of Similar Speech Pattern as Advice for Collaborative Learning

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In the collaborative learning in the distributed learning environment, discussion among learners is not always active because of learners' understanding levels or characteristics. Remarks that were triggers of the past active discussion, which is called discussion promotion remark, can also be effective in the current discussion situation whose speech patterns are similar. Thus, the objective of this research is to construct the system which utilizes discussion promotion remarks of the past collaborative learning as advice to solve current inappropriate situation. Discussion consists of various characteristics, so it is difficult to define appropriate speech pattern for each type of discussion promotion remark. This research introduces case-based reasoning approach to extract past discussion promotion remark which can solve current inappropriate situation. In this paper, the structure of discussion promotion remark database and its searching method is proposed.
Title: Utilization of Past Remarks of Similar Speech Pattern as Advice for Collaborative Learning
Description:
In the collaborative learning in the distributed learning environment, discussion among learners is not always active because of learners' understanding levels or characteristics.
Remarks that were triggers of the past active discussion, which is called discussion promotion remark, can also be effective in the current discussion situation whose speech patterns are similar.
Thus, the objective of this research is to construct the system which utilizes discussion promotion remarks of the past collaborative learning as advice to solve current inappropriate situation.
Discussion consists of various characteristics, so it is difficult to define appropriate speech pattern for each type of discussion promotion remark.
This research introduces case-based reasoning approach to extract past discussion promotion remark which can solve current inappropriate situation.
In this paper, the structure of discussion promotion remark database and its searching method is proposed.

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