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Www.le.ac.uk Using secondary data to examine inequalities in Science Technology Engineering and Mathematics (STEM) education and careers Professor Emma.

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Presentation on theme: "Www.le.ac.uk Using secondary data to examine inequalities in Science Technology Engineering and Mathematics (STEM) education and careers Professor Emma."— Presentation transcript:

1 www.le.ac.uk Using secondary data to examine inequalities in Science Technology Engineering and Mathematics (STEM) education and careers Professor Emma Smith School of Education

2 ‘Not for the first time our educational conscience has been stung by the thought that we are as a nation neglecting science’ Committee to Enquire into the Position of Natural Science in the Educational System of Great Britain, 1918. ‘Grave shortage of science teachers’ The Times, October 1955 ‘University science places unfilled’ The Times, January 1970

3 ‘Another issue with which we had to grapple was the lack of reliable data on the supply and demand of STEM graduates and postgraduates. This lack of data makes it very difficult to assess whether there is in fact a shortage of STEM graduates and postgraduates and in which sectors. This is critical because, if it is not known whether there is a shortage, remedial actions cannot be put in place’. House of Lords Select Committee on Science and Technology (2012:6)

4 Sources of data 1 A-level participation and attainment, 1961-2012 JCQ data from 2001, prior to that DfE (etc) annual reports, QCA, AQA, Edexcel, IoP Aggregate data, freely available Population data for all entrants since 1961 All subjects, mainly disaggregated by sex

5 Participation in A-level physics

6 Achievement gaps between male and female A-level physics candidates 1965-2009

7 Sources of data 2 UCAS data on applications and acceptances to HE, 1986-2012 Population data for all entrants (sampled prior to 1986) Aggregate data, freely available from UCAS (2004-) Subjects, social and educational characteristics etc. Focus here on full-time, home domiciled

8 Acceptances to selected main science subject groups, as a proportion of all acceptances, 1986-2012

9 Sources of data 3 HESA Graduate first destination data 1994-2011 Activities six months after graduation Data collection through survey administered through home HEI, response rates around 80% Some cost for access to data HESA Graduate longitudinal data sets 3.5 year longitudinal survey but response rates around 20%

10 Main occupational groups, 2010/11 ‘Graduate’ jobsSOC 6-9Unemployed All graduates62279 Biology483911 Sports Science5042 7 Psychology4245 8 Chemistry6822 8 Physics741611 Engineering871513 Computing sciences721915 Languages51339

11 First destinations of Engineering Sciences graduates, 1994-2010/11

12 Proportion of first degree leavers who were unemployed 6 months after graduation, selected subjects 1994/5 to 2010/11

13 Percentage of students entering ‘graduate’ type jobs, selected subject areas, 2002-2010

14 Sources of data 4 1970 Birth Cohort Study 1958 National Child Development Study Labour Force Survey

15 Conclusions 1 No evidence of gender gaps in attainment at A-level pure sciences Participation in HE undergraduate science programmes has kept pace with overall HE expansion But recruitment is not even across the sciences Social characteristics in particular have hardly varied Physical scientists are still largely white, middle class, high attaining, home-domiciled, traditional aged men.

16 Conclusions 2 Initiatives to encourage greater uptake of the physical sciences have limited impact, at aggregate level Early career trajectories of engineering science students are relatively unchanged Further work is needed to examine the barriers and opportunities for entry into graduate STEM employment


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