Semantic-based thematic search for personalized e-learning

Authors:
Yanyan Li;Ronghuai Huang
Affiliations:
Knowledge Science & Engineering Institute, Beijing Normal University, Beijing, China;Knowledge Science & Engineering Institute, Beijing Normal University, Beijing, China
Venue:
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2006

Citing 3
Cited 2

A knowledge-based electronic information and documentation system

Proceedings of the 5th international conference on Intelligent user interfaces
NuggetMine: intelligent groupware for opportunistically sharing information nuggets

Proceedings of the 7th international conference on Intelligent user interfaces
EduNuggets: an intelligent environment for managing and delivering multimedia education content

Proceedings of the 8th international conference on Intelligent user interfaces

Leveraging semantic web technologies for standardized knowledge modeling and retrieval from the Holy Qur'an and religious texts

Proceedings of the 7th International Conference on Frontiers of Information Technology
Building a semantic resource space for online learning community

ICHL'09 Proceedings of the Second international conference on Hybrid Learning and Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes one solution to the problem of how to collect, organize, and select Web learning resources into a coherent, focused organization for instruction to address learners’ immediate and focused learning needs. By exploiting the semantic relationships that characterize learning resources and learner profile, the proposed semantic-based thematic approach supports both semantic querying and conceptual navigation of learning resources pertaining to specific topics. A system has been developed and deployed within an academic setting, enabling learners to organize, search, and share the learning resources in a flexible and personalized manner.