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ERIC Number: EJ1134250
Record Type: Journal
Publication Date: 2017-Apr
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1629
A Linked Data-Based Collaborative Annotation System for Increasing Learning Achievements
Zarzour, Hafed; Sellami, Mokhtar
Educational Technology Research and Development, v65 n2 p381-397 Apr 2017
With the emergence of the Web 2.0, collaborative annotation practices have become more mature in the field of learning. In this context, several recent studies have shown the powerful effects of the integration of annotation mechanism in learning process. However, most of these studies provide poor support for semantically structured resources, more precisely for sharing and linking educational contents using linked data approach. Adopting Semantic Web technologies, this paper proposed a new linked data-based collaborative annotation system called L2OD, which allows students to enrich their annotations with relevant resources retrieved from Linked Open Data clouds. L2OD supports two modes of annotation, a private annotation mode for the user's individual annotations, and a shared mode for all users' annotations. The experimentation shows that the learners who have used L2OD have significantly increased their learning achievements referring to the difference between L2OD's post-test and the control group's post-test. It also shows significant positive correlations between learning achievements and quantity of private and shared annotations in the experimental group, respectively.
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A