Online recommendation of learning path for an e-learner under virtual university

Abstract

This paper presents a system to recommend a learning path to an e-learner of a virtual university according to the assessment of linear combination of learner specific parameters and system specific parameters. An online virtual university offers various courses. But learners of this university often face problems due to several constraints of the course. Online recommendation of learning path is an important research issue for virtual learning systems because no fixed learning path will be appropriate for all learners. Generally, inappropriate courseware leads a learner to cognitive overload or disorientation during learning processes, thus it results in reducing learning performance. The developed system implements a simple approach to recommend a learning path to guide a learner from any point of the course. Experimental result also supports the system by manifesting desired output. © 2013 Springer-Verlag Berlin Heidelberg.