Maria Cecil M.Cecil@napier.ac.uk
Student Experience
Gendered information landscapes and their impact on routes into and through apprenticeships
Cecil, Maria
Authors
Abstract
This poster outlines a recent research study which examined the information landscapes of young people (age 15 – 24) in Scotland in the context of gender, vocational choice, and career development. The research context is Skills Development Scotland (SDS) who are Scotland’s national skills agency.
This study involved an exploration of extant literature on the subject of gender imbalance in STEM careers and a critique of a myriad of relevant theories on information landscapes (Lievrouw 2001: Lloyd & Wilkinson, 2019: Chen, 2021), gender identity and stereotyping (Brown & Stone, 2016: Siyanova-Chanturia, et al., 2015), and self-efficacy and possible selves (Bandura, 1997: Markus & Nurius, 1986).
The primary purpose of the research as outlined in the poster was to understand how gendered information landscapes may impact on the decision-making process of various groups of young people in relation to their career choices, particularly relating to apprenticeships and work-based learning, and how they may impact on gender balance in crucial sectors within STEM. The aims were to understand how information landscapes are formed, to identify different sources of information, and to explore how these information sources may embody and reinforce gender stereotypes.
Qualitative research methods used for data collection in the form of two focus groups and two interviews with a total of 12 careers guidance practitioners employed by SDS. These were carried out to ascertain the expert views of careers professionals on the topic. These focus groups/interviews were carried out over a 2-week period in February 2022, and were conducted, recorded, and transcribed via Microsoft Teams.
The main finding of this study was that whilst young people obtain information from a myriad of different sources, careers practitioners thought that people were the most influential source in regard to career decision making, and that stakeholders such as parents, teachers, and peers had a significant impact on the development of young people’s gendered information landscapes.
Although most participants alluded to the belief that parents, teachers, training providers and employers all had an impact on career choice and gender segregation, the extent of this impact was unclear. I believe it would benefit future research to include these stakeholder groups in the data collection process, to gain a more robust understanding of their role in the context of young people’s gendered information landscapes. Perhaps using a more quantitative method such as a survey would be a good way to facilitate this.
Citation
Cecil, M. (2023, June). Gendered information landscapes and their impact on routes into and through apprenticeships. Poster presented at Horizons in STEM Higher Education Conference, Swansea
Presentation Conference Type | Poster |
---|---|
Conference Name | Horizons in STEM Higher Education Conference |
Start Date | Jun 28, 2023 |
End Date | Jun 29, 2023 |
Deposit Date | Dec 1, 2023 |
Public URL | http://researchrepository.napier.ac.uk/Output/3401920 |
Related Public URLs | https://ukstemconference.com/2023-conference-programme/ |
You might also like
Workplace Mentor Training for Inclusion: Training resources for work-based learning mentors
(2024)
Digital Artefact
The Career Information Podcast
(2023)
Digital Artefact
Gendered Information Landscapes and their Impact on Routes Into and Through Apprenticeships
(2023)
Presentation / Conference Contribution
Gendered Information Landscapes and their impact on routes into and through apprenticeships
(2024)
Presentation / Conference Contribution
Addressing gender imbalance in STEM graduate apprenticeships
(-0001)
Presentation / Conference Contribution
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search