Using Case-Based Reasoning for Collaborative Learning System on the Internet
Summary :
In the information engineering learning environment, there may be more than one solution to any given problem. We have developed CAMELOT using the Nominal Group Technique for group problem solving. This paper describes the collaborative learning system on the Internet using discussion model, the effectiveness of collaborative learning in modeling the entity-relationship diagram within the field of information engineering, and how to apply AI technologies such as rule-based reasoning and case-based reasoning to the pedagogical strategy. By using CAMELOT, each learner learns how to analyze through case studies and how to collaborate with his or her group in problem solving. As a result. We have found evidence for the effectiveness of collaborative learning, such as getting a deeper understanding by using CAMELOT than by individual learning, because they can reach better solutions through discussion, tips from other learners, examination of one another's individual solutions, and understanding alternative solutions using case-based reasoning.
- Publication
- IEICE TRANSACTIONS on Information Vol.E80-D No.2 pp.135-142
- Publication Date
- 1997/02/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Educational System using Multimedia and Communication Technology)
- Category
- Collaboration and Agent system for learning support
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Keyword
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Takashi FUJI, Takeshi TANIGAWA, Masahiro INUI, Takeo SAEGUSA, "Using Case-Based Reasoning for Collaborative Learning System on the Internet" in IEICE TRANSACTIONS on Information,
vol. E80-D, no. 2, pp. 135-142, February 1997, doi: .
Abstract: In the information engineering learning environment, there may be more than one solution to any given problem. We have developed CAMELOT using the Nominal Group Technique for group problem solving. This paper describes the collaborative learning system on the Internet using discussion model, the effectiveness of collaborative learning in modeling the entity-relationship diagram within the field of information engineering, and how to apply AI technologies such as rule-based reasoning and case-based reasoning to the pedagogical strategy. By using CAMELOT, each learner learns how to analyze through case studies and how to collaborate with his or her group in problem solving. As a result. We have found evidence for the effectiveness of collaborative learning, such as getting a deeper understanding by using CAMELOT than by individual learning, because they can reach better solutions through discussion, tips from other learners, examination of one another's individual solutions, and understanding alternative solutions using case-based reasoning.
URL: https://global.ieice.org/en_transactions/information/10.1587/e80-d_2_135/_p
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@ARTICLE{e80-d_2_135,
author={Takashi FUJI, Takeshi TANIGAWA, Masahiro INUI, Takeo SAEGUSA, },
journal={IEICE TRANSACTIONS on Information},
title={Using Case-Based Reasoning for Collaborative Learning System on the Internet},
year={1997},
volume={E80-D},
number={2},
pages={135-142},
abstract={In the information engineering learning environment, there may be more than one solution to any given problem. We have developed CAMELOT using the Nominal Group Technique for group problem solving. This paper describes the collaborative learning system on the Internet using discussion model, the effectiveness of collaborative learning in modeling the entity-relationship diagram within the field of information engineering, and how to apply AI technologies such as rule-based reasoning and case-based reasoning to the pedagogical strategy. By using CAMELOT, each learner learns how to analyze through case studies and how to collaborate with his or her group in problem solving. As a result. We have found evidence for the effectiveness of collaborative learning, such as getting a deeper understanding by using CAMELOT than by individual learning, because they can reach better solutions through discussion, tips from other learners, examination of one another's individual solutions, and understanding alternative solutions using case-based reasoning.},
keywords={},
doi={},
ISSN={},
month={February},}
Copy
TY - JOUR
TI - Using Case-Based Reasoning for Collaborative Learning System on the Internet
T2 - IEICE TRANSACTIONS on Information
SP - 135
EP - 142
AU - Takashi FUJI
AU - Takeshi TANIGAWA
AU - Masahiro INUI
AU - Takeo SAEGUSA
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E80-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 1997
AB - In the information engineering learning environment, there may be more than one solution to any given problem. We have developed CAMELOT using the Nominal Group Technique for group problem solving. This paper describes the collaborative learning system on the Internet using discussion model, the effectiveness of collaborative learning in modeling the entity-relationship diagram within the field of information engineering, and how to apply AI technologies such as rule-based reasoning and case-based reasoning to the pedagogical strategy. By using CAMELOT, each learner learns how to analyze through case studies and how to collaborate with his or her group in problem solving. As a result. We have found evidence for the effectiveness of collaborative learning, such as getting a deeper understanding by using CAMELOT than by individual learning, because they can reach better solutions through discussion, tips from other learners, examination of one another's individual solutions, and understanding alternative solutions using case-based reasoning.
ER -
English
