Exploring social influence on the usage of resources in an online learning community

Ogheneovo Dibie, Tamara Sumner, Keith Maull, David Quigley

Research output: AbstractPaperpeer-review

2 Scopus citations

Abstract

This research investigates the usage distribution of instructional resources shared among educators in an online learning community. The usage of a resource is defined by the number of unique educators who use (click on) it. We explored what the usage distribution of these resources looks like and we investigated what underlying mechanisms may have generated the observed distribution. Our results indicate that the usage distribution of resources follows a power law. Furthermore, our results also suggest that an educator’s decision to use a resource may be influenced by the prior decisions of others. 82.6% of 2500 simulations of an information cascade model developed to model the resource selection process of educators resulted in a power law distribution as observed in our data. Information cascades provide a natural way of understanding how individuals may imitate the decisions of others even when such decisions do not align with their perssonal preferences.

Original languageEnglish
Pages585-586
Number of pages2
StatePublished - 2016
Event9th International Conference on Educational Data Mining, EDM 2016 - Raleigh, United States
Duration: Jun 29 2016Jul 2 2016

Conference

Conference9th International Conference on Educational Data Mining, EDM 2016
Country/TerritoryUnited States
CityRaleigh
Period06/29/1607/2/16

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