Title :
Meeting employers´ and students´ expectations through the use of employer demand ontology in curriculum development
Author :
Terblanche, Chamonix
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst. (DEBII), Curtin Univ., Australia
Abstract :
It has become evident in recent times that curriculums do not sufficiently cover the expected employment skill needs of graduates to be job ready directly post obtaining their qualifications. In order to assure an appropriately trained and job ready graduate workforce, it is imperative that employer expectations are incorporated into curriculums offered to students who are hoping to be trained for professional advancement. Current data gathering methods of employer expectations are time, cost and labour intensive. Reduced capital and human resource inputs result in inaccurate data collection outcomes and inevitably miss-matched skill sets for graduates. The aim of this paper is to introduce employer demand ontology which is currently being developed. The ontology will enable employer demand expectations to be accurately and continuously identified through the use of artificial intelligence. Once identified, curriculum developers will be able to incorporate these applicable skill needs into specific curricula to ensure that graduates are work ready.
Keywords :
educational courses; educational technology; employment; ontologies (artificial intelligence); artificial intelligence; curriculum development; employer demand ontology; employer expectation; employment skill; job ready graduate workforce; professional advancement; student expectation; Aging; Australia; Employment; Humans; Medical services; Ontologies;
Conference_Titel :
e-Learning in Industrial Electronics (ICELIE), 2011 5th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4577-0132-0
DOI :
10.1109/ICELIE.2011.6130030