An alternative pathway to employment for autistic job-seekers: a case study of a training and assessment program targeted to autistic job candidates

Flower, Rebecca; Hedley, Darren; Spoor, Jennifer R.; Dissanayake, Cheryl

doi:10.1080/13636820.2019.1636846

Cited by 53 publications

(68 citation statements)

References 45 publications

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“…Other studies identify similar predictors such as personal experiences, vocational preparedness, job satisfaction, related environment, adaptive behaviour and life satisfaction [20] [21], which are all contributors for a person with disabilities to retain a job [22]. Other elements that appear to be key in this process for disabled workers are the feelings of self-determination and independence about to work expectations [15]. The predictors mentioned above for competitive employment are represented in Figure 1.…”

Section: A Challenges Of Employmentmentioning

confidence: 88%

“…For example, autistic people have been allowed to work for Aspiritech, a software testing company in the United States [14], whose mission is to empower individuals on the autism spectrum to fulfill their potential. Similarly, other companies, including SAP, Microsoft Corporation, Ford Motor Company, DXC Technology, and Ernst and Young, even have specific employment programmes for autistic people [15]. However, there is a lack of clarity of what type of jobs disabled students are more likely to secure after graduation from a higher education institution.…”

Section: A Challenges Of Employmentmentioning

confidence: 99%

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Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

et al. 2020

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While only 4.2 million people out of a population of 7.9 million disabled people are working, a considerable contribution is still required from universities and industries to increase employability among the disabled, in particular, by providing adequate career guidance post higher education. This study aims to identify the potential predictive features, which will improve the chances of engaging disabled school leavers in employment about 6 months after graduation. MALSEND is an analytical platform that consists of information about UK Destinations Leavers from Higher Education (DLHE) survey results from 2012 to 2017. The dataset of 270,934 student records with a known disability provides anonymised information about students' age range, year of study, disability type, results of the first degree, among others. Using both qualitative and quantitative approaches, characteristics of disabled candidates during and after school years were investigated to identify their engagement patterns. This paper builds on constructing and selecting subsets of features useful to build a good predictor regarding the engagement of disabled students 6 months after graduation using the big data approach with machine learning principles. Features such as age, institution, disability type, among others were found to be essential predictors of the proposed employment model. A pilot was developed, which shows that the Decision Tree Classifier and Logistic Regression models provided the best results for predicting the Standard Occupation Classification (SOC) of a disabled school leaver in the UK with an accuracy of 96%.

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Section: A Challenges Of Employmentmentioning

confidence: 88%

Section: A Challenges Of Employmentmentioning

confidence: 99%

Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

et al. 2020

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“…McCarthy et al (2015) described progress of the strategy as patchy. Various other private, charity and public sector initiatives have been tried but evaluations are limited (Barnham, 2016;Blamires, 2015;Flower et al, 2019).…”

Section: Context: Legislation and Employment Initiativesmentioning

confidence: 99%

Perspectives on UK university employment from autistic researchers and lecturers

Martin

2020

Disability & Society

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This small-scale unfunded work considers what universities might do better in relation to the employment of autistic researchers and/or lecturers. It is informed by questionnaire responses from twelve UK-based autistic academics. Autistic colleagues were involved in the development of this paper, but it is authored by a non-autistic neurodivergent academic ally. Allyship is demonstrated in working alongside, rather than taking over from, autistic scholars with a view to contributing to improving their working conditions. Information was gathered in 2019 before the global pandemic. Thematic analysis of first-hand testimony underpinned by information from published sources revealed overarching themes. These point to obstacles to secure employment in higher education at every stage, from financing doctoral study, to recruitment practices, to navigating bureaucracy. Structures that are notionally designed to help appear somewhat impenetrable. Attitudinal barriers compound practical difficulties, whereas supportive cultures and practices reduce obstacles. Autistic scholars are networking through grassroots organisations such as PARC but have limited power to affect changes which would move the sector closer to compliance with the Equality Act (2010).

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“…Comprehensive programs include a variety of personalized interventions aimed at different skills, but the primary outcomes are obtaining and maintaining employment. Business-led programs designed to recruit, assess and train candidates with ASD into their own organizations have been described in case studies (e.g., Austin & Pisano, 2017;Carrero et al, 2019;Flower et al, 2019). Two systematic reviews on comprehensive programs concluded that the model of supported employment was an effective intervention (Hedley et al, 2017;Nicholas et al, 2015).…”

Section: Program Evaluation Of a Community Organization Offering Suppmentioning

confidence: 99%

Program evaluation of a community organization offering supported employment services for adults with autism

Martin

Lanovaz

2021

Research in Autism Spectrum Disorders

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An alternative pathway to employment for autistic job-seekers: a case study of a training and assessment program targeted to autistic job candidates

Cited by 53 publications

References 45 publications

Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

Perspectives on UK university employment from autistic researchers and lecturers

Program evaluation of a community organization offering supported employment services for adults with autism

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