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Reading Together: Indirect Collaboration through a Social Software Application
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, , Athabasca University, Canada

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Montréal, Quebec, Canada ISBN 978-1-880094-98-3 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

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Abstract

A study was conducted to examine how social text signals in a digital text would evolve as students read the text and annotated it. The text signals result from aggregating the individual annotations to extract a group consensus about the most important parts of the overall text. Results indicate that consensus emerges quite quickly with the text signals stabilizing by about the 30th participant and that the signals generally do select the important parts of the text when compared to an expert’s annotations.

Citation

Chiarella, A. & Chmiliar, L. (2012). Reading Together: Indirect Collaboration through a Social Software Application. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 1 (pp. 1772-1776). Montréal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved July 6, 2022 from .

© 2012 Association for the Advancement of Computing in Education (AACE)

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