On efficiently tracking turn-taking patterns in a CSCL environment using Lempel-Ziv complexity analysis

Sofia J. Hadjileontiadou, Georgia N. Nikolaidou, Leontios J. Hadjileontiadis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A complexity-based analysis of the turn-taking sequences produced during peers' computer-mediated collaboration is presented in this paper. The collaborative contributions monitored by the system, namely Lin2k, are mapped to turn-taking sequences, which, in turn, are transformed to symbol-sequences and analyzed for pattern extraction. The use of a normalized complexity measure when applied to collaborative data from the field of environmental engineering reveals peers' tendencies to more complex turntaking patterns when they receive appropriate feedback from the Lin2k. The efficiency of the proposed complexity analysis in pattern identification and its simplicity in implementation makes it a useful tool for effective tracking of temporal changes in collaborative activity.

Original languageBritish English
Title of host publicationProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004
Editors Kinshuk, C.-K. Looi, E. Sutinen, D. Sampson, I. Aedo, L. Uden, E. Kaehkoenen
Pages415-419
Number of pages5
DOIs
StatePublished - 2004
EventProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004 - Joensuu, Finland
Duration: 30 Aug 20041 Sep 2004

Publication series

NameProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004

Conference

ConferenceProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004
Country/TerritoryFinland
CityJoensuu
Period30/08/041/09/04

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