CCE Faculty Articles
Metrics for Effectiveness of E-Learning Objects in Software Engineering Education
Document Type
Article
Publication Title
IEEE SoutheastCon 2014
Event Date/Location
Lexington, KY / 2014
ISSN
978-1-4799-6585-4
Publication Date
3-2014
Abstract
In this paper we present the rationale and beginning of work on improving e-learning objects through the use of analytics modeled after Google Analytics. Prior work on the use of metrics in e-learning has focused on user satisfaction, and the ranking and selection of learning objects from a set of available choices. This work differs in its focus on the kinds of metrics needed to improve an existing object, or even more specifically to make improvements to specific pages within an object. This work is based on the now well established track record of using Google Analytics for Web site optimization in e-commerce. We discuss adaptations needed to apply similar metrics in the context of e-learning and more specifically e-learning objects.
DOI
10.1109/SECON.2014.6950671
NSUWorks Citation
Van Hilst, Michael; Escobar, Alvaro E.; and Reyes, Priscila, "Metrics for Effectiveness of E-Learning Objects in Software Engineering Education" (2014). CCE Faculty Articles. 477.
https://nsuworks.nova.edu/gscis_facarticles/477