By Topic

Homogeneity and Enrichment: Two Metrics for Web Applications Assessment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Valsamidis, S. ; Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece ; Kontogiannis, S. ; Karakos, A. ; Kazanidis, I.

Earlier studies suggest that educational institutions may further benefit from Learning Management Systems (LMSs) by generating reports regarding courses. That is, with the use of tools focus to assess student's paths into course content. This paper affirms that educational meaningful information can be extracted from LMS student logged data and presents a methodology on how such findings may assist to the development of a reporting tool for educators. In the context of course assessment from student logged data, we introduce a new metric called homogeneity that extends the use of an older one, enrichment. We also propose a new algorithm that tries to qualify course content by classifying the course based on students' course paths interest. We applied our algorithm to Open eClass LMS tracking data of an academic institution and we present the results identified in 12 courses along with interest insights. We leave for future development the creation of an automated tool of our algorithm implemented for the Open eClass platform.

Published in:

Informatics (PCI), 2010 14th Panhellenic Conference on

Date of Conference:

10-12 Sept. 2010