Adaptive personalized eLearning on top of existing LCMS

Authors:
Naimdjon Takhirov;Ingeborg T. Sølvberg
Affiliations:
Norwegian University of Science and Technology, Trondheim, Norway;Norwegian University of Science and Technology, Trondheim, Norway
Venue:
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Year:
2009

Citing 1
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Abstract

The next generation of eLearning systems should tailor the learning experience to each individual's learning needs and preferences. PEDAL-NG is a system that supports personalization in an existing, operational eLearning environment, based on prior knowledge and the learning style of users. It is built as a front-end of an existing LMS. The prototype is tested by a group of students. The test results are favorable regarding the personalized course and give valuable feedback for future research.