Mirroring of Knowledge Practices based on User-defined Patterns

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Provided by: Journal of Universal Computer Science
Topic: Big Data
Format: PDF
Knowledge practices mirroring is one of the central elements of the Trialogical learning approach as it is supposed to be a driving force in processes of practice transformation and knowledge creation. The exploitation of historical logging data holds promise to provide a great deal of information about group activities without requiring additional efforts for recording of events by the users. Building on the Trialogical learning approach as well as related work in the fields of data mining and knowledge discovery, computer-supported collaborative learning, and information visualization, this paper suggests high-level requirements for mirroring tools in support of practice transformation and introduces a software tool called TimeLine-Based Analyzer (TLBA) that was designed and developed in response to these requirements.
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