Automatic Identification of Learning Object Type

With energetic development of the Internet, online learning object repositories and web based learning systems have become more and more realistic and popular in the past ten years. One of the essential characteristics of learning object is, it should be discoverable depending on its characteristics...

Full description

Saved in:
Bibliographic Details
Published in:International journal of computer applications 2012-01, Vol.42 (7)
Main Authors: Jain, Sonal, Pareek, Jyoti
Format: Article
Language:English
Subjects:
Internet
Learning
Marking
Metadata
On-line systems
Showcases
Students
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With energetic development of the Internet, online learning object repositories and web based learning systems have become more and more realistic and popular in the past ten years. One of the essential characteristics of learning object is, it should be discoverable depending on its characteristics. This usually entails tagging them with appropriate descriptive metadata. Learning is a cognitive activity that differs from student to student. Achieving personalization and adaptability is not possible till the learning objects are properly attributed. Again metadata instantiation is a difficult task. The Dublin Core metadata element set and IEEE Learning object metadata are two popular metadata standards that facilitate tagging of learning material. This paper showcases automatic identification of Learning Object Type. Experimental evaluation and results depict satisfaction level of users.
ISSN:0975-8887
0975-8887
DOI:10.5120/5703-7687