A SURVEY ON VISUAL ANALYTICS OF DATA FROM MASSIVE OPEN ONLINE COURSES (MOOCs)

PhD Qualifying Examination


Title: "A SURVEY ON VISUAL ANALYTICS OF DATA FROM MASSIVE OPEN ONLINE COURSES 
(MOOCs)"

by

Miss Qing CHEN


Abstract:

Massive Open Online Courses (MOOCs), which aim to provide open access and 
massive education, have attracted millions of learners over the past few years. 
Currently, most MOOC platforms record learner information, access activities, 
interactions in videos and forums, and performance. Such large amounts of 
heterogeneous and multivariate data provide great opportunities for analyzing 
online learning behaviors while at the same time posing new challenges.

In this survey, we discuss how visual analytics could help analyze MOOC data 
and present some of the most relevant studies carried out in this field to 
date. We first introduce the background of MOOCs and the motivation for MOOC 
data analytics, and then identify three major challenges facing MOOC data 
analysis. After that, we discuss how visual analytics can facilitate to explore 
MOOC data and tackle those challenges. Based on the review of previous work and 
the three challenges identified, we describe the collected MOOC data, summarize 
the analytical tasks for different data types, and discuss several guidelines 
for designing visual analytics tools and systems. After that, we review 
representative research and applications on the visual analytics of MOOC data 
and the visualization techniques that can be used to facilitate MOOC data 
analytics. Finally, we conclude with a discussion of current studies and some 
future research directions.


Date:			Thursday, 22 October 2015

Time:                  	9:30am - 11:30am

Venue:                  Room 4475
                         Lifts 25/26

Committee Members:	Prof. Huamin Qu (Supervisor)
 			Dr. Lei Chen (Chairperson)
 			Dr. Xiaojuan Ma
 			Prof. Dit-Yan Yeung


**** ALL are Welcome ****