Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register using a personal email and password.Have you forgotten your password?
Repository logo
    Info Pages
    Content PolicyCopyright & Access InfoDepositing to MRODeposit LicenseDeposit License SummaryFile FormatsTheses FAQDoctoral Thesis Deposit
  • Communities & Collections
  • All of MRO
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register using a personal email and password.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Li, Xin"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Development of a framework for evaluating the quality of instructional design ontologies : a thesis presented in partial fulfilment of the requirements for the degree of Master of Management in Information Systems at Massey University, Wellington, New Zealand
    (Massey University, 2009) Li, Xin
    Instructional Design (ID) ontology can be used to formally represent knowledge about the teaching and learning process, which contributes to automatic construction of personalised eLearning experiences. While ID ontologies have been continuously improved and developed over recent years, there are concerns regarding what makes a quality ID ontology. This study proposes a framework for evaluating the quality of an ID ontology by synthesising the crucial elements considered in the ID ontologies developed to date. The framework would allow a more precise evaluation of different ID ontologies, by demonstrating the quality of each ontology with respect to the set of crucial elements that arise from the ontology. This study also gives an overview of the literature on ID ontology, as well as the implications for future research in this area.

Copyright © Massey University  |  DSpace software copyright © 2002-2025 LYRASIS

  • Contact Us
  • Copyright Take Down Request
  • Massey University Privacy Statement
  • Cookie settings