Knowledge Enriched Learning by Converging Knowledge Object & Learning Object

Autor/inn/en	Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay
Titel	Knowledge Enriched Learning by Converging Knowledge Object & Learning Object
Quelle	In: Electronic Journal of e-Learning, 13 (2015) 1, S.3-13 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1479-4403
Schlagwörter	Convergent Thinking; Management Systems; Integrated Learning Systems; Knowledge Management; Electronic Learning; Data Collection; Classification; Metadata; Educational Experiments; Decision Making; Models + Suchen Sie Ihr Suchwort? Wissensmanagement; Data capture; Datensammlung; Classification system; Klassifikation; Klassifikationssystem; Metadaten; Schulversuch; Decision-making; Entscheidungsfindung; Analogiemodell
Abstract	The most important dimension of learning is the content, and a Learning Management System (LMS) suffices this to a certain extent. The present day LMS are designed to primarily address issues like ease of use, search, content and performance. Many surveys had been conducted to identify the essential features required for the improvement of LMS, which includes flexibility and a user centric approach. These features can suffice the need of all learners, when they have different learning requirements. For a true learning, knowledge should also be delivered along with the domain information. There is a need to design an architecture for user centric Knowledge Driven Learning Management System (KDLM). Thus, for holistic learning, knowledge enriched teaching skills are required, which can enhance and increase the thinking skills of the learner to a higher level. The current LMS needs an improvement in the direction of knowledge discovery, exploration so that knowledge enriched learning can be provided to the learner. It can be based on knowledge engineering principles like ontology, semantic relationship between objects, cognitive approach and data mining techniques. In this paper, we are proposing an idea of an enhanced Learning Object (LO) called Knowledge Driven Learning Object (KDLO), which can be delivered to the user for better learning. We had used a data mining approach, classification to harness, exploit and classify these objects according to their metadata, thereby strengthening the content of objects delivered through the LMS. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01