DocumentCode :
1698988
Title :
Comparing MOOC-based platforms: Reflection on pedagogical support, framework and learning analytics
Author :
Lebron, David ; Shahriar, Hossain
Author_Institution :
Dept. of Comput. Sci., Kennesaw State Univ., Kennesaw, GA, USA
fYear :
2015
Firstpage :
167
Lastpage :
174
Abstract :
The rapidly expanding, highly evolving online course market (Massive Open Online Course or MOOC) is influential in academia. Many well-known MOOC platforms have emerged over the last decade. There is a need to compare the support level offered by these platforms so that educators can deliver materials and students are able to learn better. Additionally, there is a need to explore what kinds of data are gathered from these platforms to exploit big data analytics opportunities. This paper evaluates three major online MOOC course providers namely Coursera, EdX, and Udacity. We first compare these platforms in terms of pedagogical support and implemented technologies. We then look at the literature and compare learning analytics support among these tools that are currently offered. We also suggest a set of analytics concepts that can aid instructors to mine student´s interaction data and generate guidance for effective teaching.
Keywords :
computer aided instruction; data analysis; Coursera; EdX; Udacity; big data analytics opportunities; interaction data; learning analytics; massive open online course; online MOOC course providers; online course market; pedagogical support; teaching; Big data; Companies; Decision support systems; Coursera; EdX; Learning analytics; MOOC; Udacity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaboration Technologies and Systems (CTS), 2015 International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4673-7647-1
Type :
conf
DOI :
10.1109/CTS.2015.7210417
Filename :
7210417
Link To Document :
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