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Interaction analysis as a tool for supporting collaboration. An overview.

[v18]  Kahrimanis G., Avouris N., Komis V., (2011), Interaction analysis as a tool for supporting collaboration. An overview. Chapter in Daradoumis A. et al. (ed), Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding, pp. 93-114, Springer Verlag, 2011. (pdf)

Abstract

This chapter constitutes an overview of logfile-based interaction analysis techniques that can be used for the support of Computer Supported Collaborative Learning (CSCL) activities. Interaction analysis is central in the study of CSCL activities, since in such activities the interactions between partners are the way of communicating the state of evolving group knowledge. It is facilitated by tools that mediate interaction, that allow logging of events that take place, capturing thus information about the content and the process of interaction. Automated analysis techniques of this information can be developed. The objective of this analysis is often to support participants, in several ways: explicitly, by providing feedback to them in order to regulate their practices, or by making adaptive changes to some aspects of the collaborative setting; or implicitly, by making available to them representations of their activities. This chapter presents the most common approaches used in interaction analysis, while it particularly emphasizes recent innovative efforts to reap the advantages of machine learning techniques in order to overcome common shortcomings of previous approaches.

 



Computer-supported collaborative learning has been an active area of research since the beginning for the HCI group more>>



Web usability team of the HCI Group has been active in studying human-web interaction and ways to support the design of accessible, findable, usable and aesthetically appealing web sites. more>>


Mobile Technology Unit of the HCI Group has been studying design and evaluation of mobile applicationss more>>

Hci Group | Electrical and Computer Engineering | University of Patras