Evaluating Information Visualization Applications: Difference between revisions

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== Short Description ==
== Short Description ==


== CourseVis ==
{{Quotation|[...] a novel approach of using web log data generated by course management systems (CMS) to help instructors become aware of what is happening in  distance learning classes. Specifically, techniques from Information Visualization are used to graphically render complex, multidimensional student tracking data collected by CMS. A system, called CourseVis, illustrates the proposed approach.| [Mazza and Dimitrova, 2004]}}


== Figures ==
== Figures ==


'''Access Plot:'''<br/>
'''Access Plot:'''<br/>
[[Image:Accessesplot.JPG|center|400px|Access Plot]]<br/>
[[Image:Accessesplot.JPG|center|400px|Access Plot]]<br/>



Revision as of 19:52, 26 April 2007


Author

Riccardo Mazza

Short Description

CourseVis

[...] a novel approach of using web log data generated by course management systems (CMS) to help instructors become aware of what is happening in distance learning classes. Specifically, techniques from Information Visualization are used to graphically render complex, multidimensional student tracking data collected by CMS. A system, called CourseVis, illustrates the proposed approach.
[Mazza and Dimitrova, 2004]


Figures

Access Plot:

Access Plot
Access Plot


Discussion Plot:
This 3D scatterplot is about the disussions of the course. The figure shows time, topics and students.


Discussion Plot
Discussion Plot



Behavioural Graph:
This graph represents the behaviours of a single student. It shows the student's access to the content pages, the global access to the course, a progress with the schedule of the course, messages and the submission of quizzes and assignments.

Behavioural Graph
Behavioural Graph


Important Citation

attitudes, feelings and beliefs ... are more likely to be revealed

via the social gathering and the interaction which being in a focus

group entails
[A. Gibbs, 1997]



formulate and answer questions [users] didn’t anticipate having before looking at the visualization
[C. Plaisant, 2004]


Suitable Data Types

Evaluation