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ERIC Number: EJ1145941
Record Type: Journal
Publication Date: 2017-Jul
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: N/A
An Ensemble Approach in Converging Contents of LMS and KMS
Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay
Education and Information Technologies, v22 n4 p1673-1694 Jul 2017
Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the Learning Objects from Learning Management Systems (LMS) and Knowledge Objects from Knowledge Management System (KMS). This can increase the performance of the learning system, especially when there is different content available from a variety of models. In this research, Data mining ensemble techniques are used so that an appropriate learning content is delivered to the learner. By converging, the learning content from various sources the Learning system pedagogies can also be revolutionized and a right learning path can be provided to the learners. This research work uses various classification techniques for converging and are evaluated using statistical measures.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A