Taxonomy of indicators characterizing group and individual behaviour in CSCL from three perspectives¶
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Description¶
The article presents a taxonomy of indicators for characterizing group and individual behaviour in CSCL, based on three perspectives: the group in relation to similar groups, an individual in relation to his/her colleagues, and the group itself. The authors describe this taxonomy as the first step in building a CSCL ontology for analysing collaborative learning tasks. The experience was later shared in the Kaleidoscope NoE, and conclusions on indicators for collaborative processes were summarized in a joint article.
Accounts¶
- Taxonomy of indicators characterizing group and individual behaviour in CSCL from three perspectives: The article presents a taxonomy of indicators for characterizing group and individual behaviour in CSCL, based on three perspectives: the group in relation to similar groups, an individual in relation to his/her colleagues, and the group itself. The authors describe this taxonomy as the first step in building a CSCL ontology for analysing collaborative learning tasks. The experience was later shared in the Kaleidoscope NoE, and conclusions on indicators for collaborative processes were summarized in a joint article. (B. Barros et al. (2015))
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Key Sources¶
- B. Barros & M. F. Verdejo (2015). Computer-Based Interaction Analysis with DEGREE Revisited. Int J Artif Intell Educ (2016) 26:113–123. https://doi.org/10.1007/s40593-015-0063-y
Page metadata
| Field | Value |
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research-method |
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taxonomy-of-indicators-characterizing-group-and-individual-behaviour-in-cscl-from-three-pe |
title |
Taxonomy of indicators characterizing group and individual behaviour in CSCL from three perspectives |
description |
The article presents a taxonomy of indicators for characterizing group and individual behaviour in CSCL, based on three perspectives: the group in relation to similar groups, an individual in relation to his/her colleagues, and the group itself. |
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review |
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by process:settle-candidates on 2026-10-27 |
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