A suvey on Visual Analytics for Online Learning Data

PhD Qualifying Examination

Title: "A suvey on Visual Analytics for Online Learning Data"


Miss Meng XIA


The use of the Internet technologies in education, the increase of online 
learning resources, instrumental educational software, and the establishment of 
official databases of student information have created large repositories of 
online learning data. All this information provides a goldmine of educational 
data that can be explored and exploited to understand students' learning and 
design better learning support service accordingly.

In this survey, we discuss how visual analytics could help different 
stakeholders (i.e., learners, instructors, researchers, and administrators) in 
the online learning environment by gaining insights from the massive online 
learning data. We first introduce the background of online learning and the 
motivation of analyzing online learning data, followed by pointing out the 
oppotunities and challenges using visual analytics. After that, we summarize 
all kinds of online learning data that have been or can be utilized to perform 
learning analysis. Then we discuss the learning analytics requirements in 
detail from the perspective of stakeholders based on existing work. Further, we 
show typical and concrete examples of how visual analytics have fulfilled these 
requirements. The survey is concluded with a discussion of the role 
visualizations have played and the potential research directions of visual 
analytics for online learning data.

Date:			Wednesday, 19 December 2018

Time:                  	10:30am - 12:30pm

Venue:                  Room 1511
                         Lifts 27/28

Committee Members:	Prof. Huamin Qu (Supervisor)
 			Dr. Xiaojuan Ma (Supervisor)
 			Dr. Raymond Wong (Chairperson)
 			Prof. Ting-Chuen Pong

**** ALL are Welcome ****