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首页> 外文期刊>Brain Sciences >Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices
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Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices

机译:制定与ASD茁壮成长的个人的就业环境:使用机器学习探索雇主政策和实践

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摘要

An online survey instrument was developed to assess employers’ perspectives on hiring job candidates with Autism Spectrum Disorder (ASD). The investigators used K-means clustering to categorize companies in clusters based on their hiring practices related to individuals with ASD. This methodology allowed the investigators to assess and compare the various factors of businesses that successfully hire employees with ASD versus those that do not. The cluster analysis indicated that company structures, policies and practices, and perceptions, as well as the needs of employers and employees, were important in determining who would successfully hire individuals with ASD. Key areas that require focused policies and practices include recruitment and hiring, training, accessibility and accommodations, and retention and advancement.
机译:开发了一个在线调查仪器,以评估雇主对雇用候选人候选人(ASD)的候选人的观点。调查人员使用K-Means Clustering根据与ASD的个人有关的招聘实践对集群的群集进行分类。该方法允许调查人员评估和比较成功聘请ASD的员工的各种因素,而不是那些没有。集群分析表明,公司结构,政策和做法以及雇主和雇员的需要以及雇主和员工的需求在确定谁将成功聘请ASD的人员。需要重点政策和实践的关键领域包括招聘和招聘,培训,可访问性和住宿,以及保留和进步。

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