Research Article
Validation of Course Ontology Elements for Automatic Question Generation
@INPROCEEDINGS{10.1007/978-3-319-49625-2_17, author={Noor Ibrahim Teo and Mike Joy}, title={Validation of Course Ontology Elements for Automatic Question Generation}, proceedings={E-Learning, E-Education, and Online Training. Third International Conference, eLEOT 2016, Dublin, Ireland, August 31 -- September 2, 2016, Revised Selected Papers}, proceedings_a={ELEOT}, year={2017}, month={1}, keywords={Competency question Course ontology Question generation}, doi={10.1007/978-3-319-49625-2_17} }- Noor Ibrahim Teo
Mike Joy
Year: 2017
Validation of Course Ontology Elements for Automatic Question Generation
ELEOT
Springer
DOI: 10.1007/978-3-319-49625-2_17
Abstract
Recent research has led to the emergence of ontology-based question generation and aims to benefit instructors by providing support and intelligent assistance for the automatic generation of questions. However, existing ontologies are not designed mainly for this purpose and the concern is that an ontology will not be competent enough to act as a semantic source for the question generation process. Therefore, the aim of this work is to validate how well the elements represented in a course ontology can be used for the purpose of automatic question generation. In this work, we choose to validate Operating System ontologies and identify related question sources from textbooks on this subject as competency questions. Finally, the result shows that the evaluated ontologies need more modification if they are to be used for question generation and we also suggest a list of concept naming patterns that need to be considered for such ontology modification.