Development of a standard for representation of cases – generalization of case-based learning in learning technology systems
2004 (English)In: Learning in Higher Education II, 2004Conference paper (Other academic)
The goal of learning technology standardisation is to create systematic ways of describing learning material and scenarios. This paper deals with the issue of development of a standard for representation of cases, which are used in case-based learning. The standard is designed for learning technology systems and viewed from the user’s perspective. First, IMS QTI was described as an example of standards. Four sample cases were then analysed: one from the PharmaPaC project, two from the SwedKid project, and one from two courses taught at the Department of Interactive Media and Learning. We have proposed a case structure description comprised of parts of a case item, types of case items, different patterns of a case section, and relationship between a case, case section and case item. The developed structure can be used as a basis for elaboration of an informational model of the case standard that may increase the level of case reusability and cooperation between case creators and users. The cases and implications of standards for the users were discussed at an ELHE workshop. The discussion suggested that standards can be a good starting point for creation of learning objects, and the standard for cases can facilitate their use in instruction. Despite there was an opinion that standards could limit creativity of learning objects creators, we believe that the use of standards is not an option but compulsory when learning objects are used. In future work we will develop XML-based notation for description of cases and consider Resource Description Framework to add semantic capabilities. We will also take into consideration standards like IMS Content Packaging and EML (Educational Modelling Language).
Place, publisher, year, edition, pages
case based learning, standards, data structure, pedagogical representation, semantic web, RDF
IdentifiersURN: urn:nbn:se:umu:diva-10107OAI: oai:DiVA.org:umu-10107DiVA: diva2:149778