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ReaderBench (3) - Involvement and Collaboration Assessment through Cohesion and Dialogism

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Analyzing Discourse and Text Complexity for Learning and Collaborating

Part of the book series: Studies in Computational Intelligence ((SCI,volume 534))

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Abstract

Although participants’ involvement in chat environments has been studied in previous systems, as mentioned in Overview of Empirical Studies, ReaderBench has brought a series of remarkable improvements in terms of collaborative learning:

  • Emphasis and better support of the dialogical and polyphonic model previously proposed in PolyCAFe with new visualizations and evaluation factors.

  • Refinement of the initial collaboration assessment model (Trausan-Matu et al. 2012b; Dascalu et al. 2010a) based on the social knowledge-building effect, through the use of the cohesion graph (Trausan-Matu et al. 2012a; Dascalu et al. 2013b).

  • A novel collaboration evaluation model based on the overlapping effect of voices seen as semantic chains (see 7.5 Dialogism and Voice Inter-Animation) pertaining to different participants.

  • The validation of the evaluation mechanics on a long-term discussion group, seen as an aggregation of multiple threads across a longer timespan, and not only the assessment of individual chat conversations (Nistor et al. 2013a; Nistor et al. 2013b, submitted; Nistor et al. 2013c).

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Authors and Affiliations

  1. Faculty of Automatic Control and Computers , Politehnica University of Bucharest, Bucharest, Romania

    Mihai Dascalu

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  1. Mihai Dascalu
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Correspondence to Mihai Dascalu .

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Dascalu, M. (2014). ReaderBench (3) - Involvement and Collaboration Assessment through Cohesion and Dialogism. In: Analyzing Discourse and Text Complexity for Learning and Collaborating. Studies in Computational Intelligence, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-319-03419-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-03419-5_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03418-8

  • Online ISBN: 978-3-319-03419-5

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