Despite recent government initiatives, there continues to be a shortage of individuals working in Science, Technology, Engineering and Mathematics (STEM) industries.
There is a particular under-representation of female STEM workers, with females opting out of STEM fields at each step of the ‘STEM pipeline’, from classroom to boardroom.
This thesis identifies and explores the impact of different factors on interest in choosing STEM subjects at post-16 level and how gender identity and stereotypes impact upon computer science enrolment interest.
A systematic review of the literature that explores influences on STEM subject choice at post-16 level highlighted thirteen key factors that predict STEM subject choice; these factors could be categorised as either intrinsic or extrinsic to the individual.
