A Quantitative Treatment to Data from Computer-Supported Collaboration: An Ontological Approach

Casillas, Luis; Daradoumis, Τhanasis

doi:10.1109/cisis.2008.35

Cited by 1 publication

(1 citation statement)

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“…Our ontology constitutes a natural extension of an ongoing effort to provide a rich representation scheme that supports collaboration analysis, which started from the proposal of [8] and continued through the work suggested by [2]. As shown in Figure 2, a hierar-PAPER MANAGING CSCL ACTIVITY THROUGH NETWORKING MODELS chical model is built from the general collaborative activity entity which branches to five principal activity indicators: active learning, perception, support, planning and task development, and conflict management.…”

Section: Related Work IImentioning

confidence: 99%

Managing CSCL Activity through networking models

Casillas

Daradoumis

Caballé

2014

Int. J. Emerg. Technol. Learn.

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Abstract-This study aims at managing activity carried out in Computer-Supported Collaborative Learning (CSCL) environments. We apply an approach that gathers and manages the knowledge underlying huge data structures, resulting from collaborative interaction among participants and stored as activity logs. Our method comprises a variety of important issues and aspects, such as: deep understanding of collaboration among participants in workgroups, definition of an ontology for providing meaning to isolated data manifestations, discovering of knowledge structures built in huge amounts of data stored in log files, and development of high-semantic indicators to describe diverse primitive collaborative acts, and binding these indicators to formal descriptions defined in the collaboration ontology; besides our method includes gathering collaboration indicators from web forums using natural language processing (NLP) techniques.Index Terms-Cooperative/collaborative learning, evaluation methodologies, interactive learning environments, social networks analysis.

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Section: Related Work IImentioning

confidence: 99%