Title
Precise Effectiveness Strategy for analyzing the effectiveness of students with educational resources and activities in MOOCs.
Abstract
We present a strategy that can be applied for determining the effectiveness in MOOCs.Effectiveness visualizations help teachers make informed decisions.Effectiveness was negatively correlated with different students' behavioral patterns. Present MOOC and SPOC platforms do not provide teachers with precise metrics that represent the effectiveness of students with educational resources and activities. This work proposes and illustrates the application of the Precise Effectiveness Strategy (PES). PES is a generic methodology for defining precise metrics that enable calculation of the effectiveness of students when interacting with educational resources and activities in MOOCs and SPOCs, taking into account the particular aspects of the learning context. PES has been applied in a case study, calculating the effectiveness of students when watching video lectures and solving parametric exercises in four SPOCs deployed in the Khan Academy platform. Different visualizations within and between courses are presented combining the metrics defined following PES. We show how these visualizations can help teachers make quick and informed decisions in our case study, enabling the whole comparison of a large number of students at a glance, and a quick comparison of the four SPOCs divided by videos and exercises. Also, the metrics can help teachers know the relationship of effectiveness with different behavioral patterns. Results from using PES in the case study revealed that the effectiveness metrics proposed had a moderate negative correlation with some behavioral patterns like recommendation listener or video avoider.
Year
DOI
Venue
2015
10.1016/j.chb.2014.10.003
Computers in Human Behavior
Keywords
Field
DocType
Learning analytics,MOOCs,SPOCs,Precise Effective Strategy,Metrics
Behavioral pattern,Educational resources,Negative correlation,Learning analytics,Psychology,Knowledge management,Parametric statistics,Multimedia
Journal
Volume
Issue
ISSN
47
C
0747-5632
Citations 
PageRank 
References 
22
1.34
13
Authors
5