May 4, 2012 9:45 AM – 11:15 AM
Muriel Foulonneau, Dr, Public Research Centre Henri Tudor,
Nabil Zary, Assistant Professor, Karolinska Institutet
Younes Djaghloul, Dr, Public Research Centre Henri Tudor
Raynald Jadoul, Eng, Public Research Centre Henri Tudor
The large adoption and usage of XML technologies in education and healthcare systems remain mostly limited to data interchange and rendering. In its elemental form, XML is ineffective to verify the underlying semantic model of the data and to infer new facts from the data. Therefore, there has been growing interest in using formal models and semantics (based on RDF/OWL knowledge representation) for both education and healthcare. An ontology that formalizes knowledge of a healthcare domain enriched with its inferred data is a richer source of information than an informal model. This will be the basis for next generation learning and assessment tools. The aim of our study was to investigate: how semantics can improve the quality of the assessment process and trial if the AIGLE system could automatically generate assessment items based on an ontology. We elaborated and used semantic domain models in order to generate assessment items in dentistry. The diversity and variability of the generated items improved significantly. The result showed that semantic technologies have real potential when applied to formative assessment in healthcare education. Our system, called AIGLE, provides two main functions: 1) the semantic extraction of knowledge from domain ontologies, with reasoning mechanism, and 2) the generation of questions based on extracted knowledge, using various IMS-QTI interactions. Using a domain model in dentistry, AIGLE generated IMS-QTI items for dental assessments.