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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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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:最近的是,课程不够涵盖毕业生的预期就业技能需求,即在获得资格的后期就可以准备就绪的预计就业技能需求。为了确保培训培训和工作就绪的毕业员构,必须纳入雇主的预期纳入为希望受过专业发展培训的学生提供的课程。雇主预期的当前数据收集方法是时间,成本和劳动密集。减少资本和人力资源投入导致数据收集成果不准确,不可避免地错过毕业生的技能。本文的目的是介绍目前正在开发的雇主需求本体。本体能够通过使用人工智能来准确和不断地确定雇主需求预期。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的课程,以确保毕业生准备好。

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