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

机译:通过在课程开发中使用雇主需求本体满足雇主和学生的期望

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摘要

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.
机译:最近越来越明显的是,课程表不能充分满足毕业生的预期就业技能需求,无法直接在获得学历后立即准备工作。为了确保经过适当培训并准备好工作的毕业生队伍,当务之急是将雇主的期望纳入到为希望接受职业发展培训的学生提供的课程中。雇主期望的当前数据收集方法是时间,成本和劳动密集型的。减少的资本和人力资源投入会导致数据收集结果不准确,并不可避免地使毕业生的技能设置错位。本文的目的是介绍当前正在开发的雇主需求本体。通过使用人工智能,该本体将使雇主需求期望得以准确,连续地确定。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特定课程中,以确保毕业生做好工作准备。

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