A service-based framework for personalized Learning Objects retrieval and recommendation

Ming Che Lee, Kun Hua Tsai, Ding N. Ye, Tzone I. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


With vigorous development of Internet, especially the web page interaction technology, distant e-learning has become more and more realistic and popular. To solve the problems of sharing and reusing teaching materials in different e-learning systems, presently several standard formats, including SCORM, IMS, LOM, and AICC, etc., have been proposed by several different international organizations. SCORM LOM, i.e. the Learning Object Metadata, enables the indexing and searching of learning objects in a learning object repository by extended sharing and searching features. However, LOM is deficient in semantic-awareness operations in spite of its multifarious fields in describing a Learning Object. It is difficult for a learner, even for advanced learners, to completely specify so many terms when they are searching. This paper proposes a service-based framework for personalized learning objects retrieval and recommendation. The work of personalization harnesses the power of probabilistic semantic inference for query keywords, LOM-based user preference logging, and other users' feedback for recommendation weighting to retrieve the most suitable learning object for users. An ontology-based query expansion algorithm and an integrated learning objects recommendation algorithm are also proposed,

Original languageEnglish
Title of host publicationAdvances in Web Based Learning
Subtitle of host publicationICWL 2006 - 5th International Conference. Revised Papers
PublisherSpringer Verlag
Number of pages16
ISBN (Print)3540490272, 9783540490272
Publication statusPublished - 2006
Event5th International Conference on Web Based Learning, ICWL 2006 - Penang, Malaysia
Duration: 2006 Jul 192006 Jul 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4181 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th International Conference on Web Based Learning, ICWL 2006

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'A service-based framework for personalized Learning Objects retrieval and recommendation'. Together they form a unique fingerprint.

Cite this