An Ensemble Approach in Converging Contents of LMS and KMS

Autor/inn/en	Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay
Titel	An Ensemble Approach in Converging Contents of LMS and KMS
Quelle	In: Education and Information Technologies, 22 (2017) 4, S.1673-1694 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-016-9516-7
Schlagwörter	Electronic Learning; Metadata; Computer System Design; Design Preferences; Database Design; Database Management Systems; Courseware; Data Processing; Classification; Information Networks; Usability; Performance Technology; Knowledge Management + Suchen Sie Ihr Suchwort? Metadaten; Design requirements; Gestaltungsmittel; Datenbanksystem; Lernsoftware; Datenverarbeitung; Classification system; Klassifikation; Klassifikationssystem; Informationsnetz; Wissensmanagement
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01