Primary and secondary school students’ career aspirations and job automation-related risks

Stephen Sowa; Julie Smith; Andrew Manches

doi:10.1007/s10775-022-09573-9

Primary and secondary school students’ career aspirations and job automation-related risks

Stephen Sowa^*, Julie Smith, Andrew Manches

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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

Original language	English
Journal	International Journal for Educational and Vocational Guidance
Early online date	12 Nov 2022
DOIs	https://doi.org/10.1007/s10775-022-09573-9
Publication status	E-pub ahead of print - 12 Nov 2022

Keywords / Materials (for Non-textual outputs)

career aspirations
school students
job automation

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10.1007/s10775-022-09573-9Licence: Creative Commons: Attribution (CC-BY)

SowaEtalIJEVG2022PrimaryAndSecondarySchoolStudentsFinal published version, 822 KBLicence: Creative Commons: Attribution (CC-BY)

Cite this

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title = "Primary and secondary school students{\textquoteright} career aspirations and job automation-related risks",

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 ",

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AU - Smith, Julie

AU - Manches, Andrew

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N2 - 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

AB - 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

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KW - school students

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Primary and secondary school students’ career aspirations and job automation-related risks

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Keywords / Materials (for Non-textual outputs)

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