Primary and secondary school students’ career aspirations and job automation-related risks
Primary and secondary school students’ career aspirations and job automation-related risks
To explore the differential impact of job automation for different groups of primary and secondary school students, an analysis of variance was conducted using survey data on the occupational aspirations of British school students (aged 7–18) and probability statistics derived from a model of job automation. Results indicated that students aged 13 years old and above were more than twice as likely to express an occupational aspiration associated with a high risk of automation, along with a higher proportion of male students, lower socio-economic groups, and respondents knowing someone (particularly a parent) holding their desired occupation (P < .05).
Sowa, Stephen
7475ff9c-fc98-45e9-a308-fe5d885bef6f
Smith, Julie
ccd57e42-23e5-4478-aa78-922fff8bcee1
Manches, Andrew
225e63cb-fa21-4be5-a473-ed0575aaebce
12 November 2022
Sowa, Stephen
7475ff9c-fc98-45e9-a308-fe5d885bef6f
Smith, Julie
ccd57e42-23e5-4478-aa78-922fff8bcee1
Manches, Andrew
225e63cb-fa21-4be5-a473-ed0575aaebce
Sowa, Stephen, Smith, Julie and Manches, Andrew
(2022)
Primary and secondary school students’ career aspirations and job automation-related risks.
International Journal for Educational and Vocational Guidance.
(doi:10.1007/s10775-022-09573-9).
Abstract
To explore the differential impact of job automation for different groups of primary and secondary school students, an analysis of variance was conducted using survey data on the occupational aspirations of British school students (aged 7–18) and probability statistics derived from a model of job automation. Results indicated that students aged 13 years old and above were more than twice as likely to express an occupational aspiration associated with a high risk of automation, along with a higher proportion of male students, lower socio-economic groups, and respondents knowing someone (particularly a parent) holding their desired occupation (P < .05).
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s10775-022-09573-9
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Accepted/In Press date: 26 October 2022
Published date: 12 November 2022
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For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
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Local EPrints ID: 493363
URI: http://eprints.soton.ac.uk/id/eprint/493363
PURE UUID: 9c5022b8-821b-40dd-8d17-cbe11540ac92
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Date deposited: 30 Aug 2024 16:36
Last modified: 31 Aug 2024 02:11
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Author:
Stephen Sowa
Author:
Julie Smith
Author:
Andrew Manches
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