Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees

被引:3
|
作者
Hyde, Kayleigh [1 ]
Griffiths, Amy-Jane [2 ]
Giannantonio, Cristina M. [3 ]
Hurley-Hanson, Amy E. [3 ]
Linstead, Erik [1 ]
机构
[1] Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA
[2] Chapman Univ, Attallah Coll Educ Studies, Orange, CA USA
[3] Chapman Univ, Argyros Sch Business & Econm, Orange, CA USA
来源
2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) | 2018年
关键词
Autism Spectrum Disorder; Employment; Workplace Transition; OUTCOMES; CHILDREN;
D O I
10.1109/ICMLA.2018.00222
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Autism Spectrum Disorders (ASD) are a category of developmental disabilities and are categorized by difficulties with social interactions, verbal and nonverbal forms of communication, repetitive behaviors, and restricted interests [1]. Research suggests that young adults with "high functioning" ASD experience significant difficulty in transitioning to work, but little research has examined attitudes, experiences, and needs from the viewpoint of the employer. This study utilized a decision tree to predict likelihood of employment of individuals with "high functioning" ASD based on a survey of 263 representatives from various organizations. The study also analyzes the attributes that are most significant in determining whether an employer will recruit an individual with ASD.
引用
收藏
页码:1366 / 1370
页数:5
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