Interaction in an asynchronous online course : a synthesis of quantitative predictors

Zingaro, Daniel and Oztok, M. (2012) Interaction in an asynchronous online course : a synthesis of quantitative predictors. Journal of Asynchronous Learning Networks, 16 (4). pp. 71-82. ISSN 1092-8235

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The effectiveness and potential of asynchronous online courses hinge on sustained, purposeful interaction. And while many factors affecting interaction have been uncovered by prior literature, there are few accounts of the relative importance of these factors when studied in the same online course. In this paper, we develop a literature-informed model of six predictors on the likelihood that a note receives a reply. We corroborate earlier findings (such as the impact of the date that the note was posted), but also obtain one contradictory result (that reading ease does not appear to be a significant predictor). We offer hypotheses for our findings, suggest future directions for this type of research, and offer educational implications.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Asynchronous Learning Networks
Uncontrolled Keywords:
?? asynchronous learningsustaining discoursethreadseducationcomputer networks and communications ??
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Deposited On:
18 Jun 2015 05:46
Last Modified:
15 Jan 2024 00:11