By Topic

Business intelligence in e-learning: (case study on the Iran university of science and technology dataset)

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
$33 $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)
Mohammad Hassan Falakmasir ; Department of Computer Engineering, Sharif University of Technology, Tehran, Iran ; Shahrouz Moaven ; Hassan Abolhassani ; Jafar Habibi

Nowadays, e-learning platforms are widely used by universities and other research-based and educational institutions. Despite lots of advantages these educational environments provide for organizations, yet there are many unresolved problems which cause instructors and training managers with some difficulties to get proper information about the students' learning behavior. On one hand, lack of tools to measure, assess, and evaluate the performance of learners in educational activities has led the educators to fail to guarantee the success of learning process. On the other hand, strict structure of learning materials prevents students to acquire knowledge based on their learning style. Consequently, developing tools monitor and analyze the learner's interaction with e-learning environment is necessary. Business intelligence (BI) and On Line Analytical Processing (OLAP) technologies can be used in order to monitor and analyze the learner's behavior and performance in e-learning environments. They can also be used to evaluate the structure of the course content and its effectiveness in the learning process. This article investigates the use of business intelligence and OLAP tools in e-learning environments and presents a case study of how to apply these technologies in the database of an e-learning system. The study shows that students spend little time with course courseware and prefer to use collaborative activities, such as virtual classroom and forums instead of just viewing the learning material.

Published in:

Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on

Date of Conference:

23-25 June 2010