Meeting employers' and students' expectations through the use of employer demand ontology in curriculum development

Chamonix Terblanche
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引用次数: 4

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.
通过在课程开发中使用雇主需求本体来满足雇主和学生的期望
近年来,很明显,课程不能充分满足毕业生获得资格证书后直接就业的预期就业技能需求。为了保证有一支受过适当训练、准备就业的毕业生队伍,雇主的期望必须融入到提供给那些希望得到专业发展培训的学生的课程中。目前雇主期望的数据收集方法是时间、成本和劳动密集型的。资本和人力资源投入的减少导致数据收集结果不准确,并不可避免地导致毕业生的技能组合不匹配。本文的目的是介绍目前正在开发的雇主需求本体。本体论将使雇主的需求期望能够通过人工智能的使用得到准确和持续的识别。一旦确定,课程开发人员将能够将这些适用的技能需求纳入具体的课程,以确保毕业生为工作做好准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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