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International Journal of Computer-Supported Collaborative Learning

Erschienen in:

01.06.2014

PolyCAFe—automatic support for the polyphonic analysis of CSCL chats

verfasst von: Stefan Trausan-Matu, Mihai Dascalu, Traian Rebedea

Erschienen in: International Journal of Computer-Supported Collaborative Learning | Ausgabe 2/2014

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Abstract

Chat conversations and other types of online communication environments are widely used within CSCL educational scenarios. However, there is a lack of theoretical and methodological background for the analysis of collaboration. Manual assessing of non-moderated chat discussions is difficult and time-consuming, having as a consequence that learning scenarios have not been widely adopted, neither in formal education nor in informal learning contexts. An analysis method of collaboration and individual participation is needed. Moreover, computer-support tools for the analysis and assessment of these conversations are required. In this paper, we start from the “polyphonic framework” as a theoretical foundation suitable for the analysis of textual and even gestural interactions within collaborative groups. This framework exploits the notions of dialogism, inter-animation and polyphony for assessing interactions between participants. The basics of the polyphonic framework are discussed and a systematic presentation of the polyphonic analysis method is included. Then, we present the PolyCAFe system, which provides tools that support the polyphonic analysis of chat conversations and online discussion forums of small groups of learners. Natural Language Processing (NLP) is used in order to identify topics, semantic similarities and links between utterances. The detected links are then used to build a graph of utterances, which forms the central element for the polyphonic analysis and for providing automatic feedback and support to both tutors and learners. Social Network Analysis is used for computing quantitative measures for the interactions between participants. Two evaluation experiments have been undertaken with PolyCAFe. Learners find the system useful and efficient. In addition to these advantages, tutors reflecting on the conversation can provide quicker manual feedback.

Vorheriger Artikel Dialogic foundations of CSCL

Nächster Artikel Disengaged students and dialogic learning: the role of CSCL affordances

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Titel: PolyCAFe—automatic support for the polyphonic analysis of CSCL chats
verfasst von: Stefan Trausan-Matu
Mihai Dascalu
Traian Rebedea
Publikationsdatum: 01.06.2014
Verlag: Springer US
Erschienen in: International Journal of Computer-Supported Collaborative Learning / Ausgabe 2/2014
Print ISSN: 1556-1607
Elektronische ISSN: 1556-1615
DOI: https://doi.org/10.1007/s11412-014-9190-y

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