A Study on Searching and Recommending SCORM CPs by Ontological Support

  • Authors:
  • Jin Tan Yang;Min Jey Hwang;Yuan Fong Chu

  • Affiliations:
  • National Kaohsiung Normal University;National Kaohsiung Normal University;National Kaohsiung Normal University

  • Venue:
  • ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

The purpose of this study is to implement content packages of searching and recommending for teachers while they intend to deliver a specified course unit. Many efforts have been made on how to technically develop authoring tools instead how to apply existing content packages in teaching practices. To overcome these barriers, this study proposes an ontology approach as teachersý perspective to fully exploit the implicit metadata in manifest.xml. The implementation tool consists of Protegee 2000, Jena API, and Java script. Firstly, the parser of Natural language Understanding can accept the Mandarin in GUI and transform it into a index of competence (IC) from domain ontology. Then, task ontology can be attained with a CP. Secondly, the application ontology is defined as learning sequences of different CPs. Thus, it guides scaffolding for extensible or remedial CPs for teachersý instructional design. Finally, the implications of this study and future research are also included.