A study on searching and recommending SCORM CPs by ontological support

A study on searching and recommending SCORM CPs by ontological support

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....

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Hauptverfasser: Jin Tan Yang, Min Jey Hwang, Yuan Fong Chu
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computer science education
Content management
Graphical user interfaces
Java
Mathematics
Natural languages
Ontologies
Packaging
Resource description framework
Search engines
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creator Jin Tan Yang
Min Jey Hwang
Yuan Fong Chu
description 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 teachers' 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 an 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 teachers' instructional design. Finally, the implications of this study and future research are also included.
doi_str_mv 10.1109/ICALT.2005.28
format Conference Proceeding
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subjects Computer science education
Content management
Graphical user interfaces
Java
Mathematics
Natural languages
Ontologies
Packaging
Resource description framework
Search engines
title A study on searching and recommending SCORM CPs by ontological support
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