CUTTING, Joe, Saiger, Michael John, Snell, Rebecca J.S. et al. (3 more authors) (2026) Communicating STEM Teaching Careers Through Persuasive Game Design: A Focus Group Study. In: FDG ’26, Copenhagen, Denmark:proceedings. Foundations of Digital Games 2026, 10-13 Aug 2026 . ACM, DNK. (In Press)
Abstract
In the UK there is a national shortage of teachers in STEM disciplines, with recruitment challenges compounded by high attrition rates among early-career teachers. To address this, we are developing a persuasive video game to inform STEM undergraduates aboutteaching careers while helping them assess their fit for the profession. This paper presents the first stage of our design process: codesigning with potential end-users through paper prototypes andfocus groups. We conducted focus group interviews and individual semi-structured interviews with STEM undergraduates (n=9, aged 18-23) involving career discussions and interactive play sessions with a paper prototype of our narrative game, TeachQuest. Using thematic analysis, we identified two themes related to teaching career perceptions (Extrinsic barriers shaped by prior experience & Confidence in skills and qualities influence intrinsic motivation) and two themes related to game design preferences (Content and Reflection). Our findings reveal novel insights about the skills and qualities undergraduates believe are required for teaching, and demonstrate how paper prototypes can elicit detailed feedback on persuasive game design. We contribute design guidelines for persuasive career recruitment games that emphasise embedded reflection mechanisms, authentic decision-making, and balanced representation of career realities. These guidelines extend beyond teacher recruitment to inform the design of career exploration games more broadly.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 Copyright held by the owner/author(s). |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
| Date Deposited: | 14 May 2026 12:00 |
| Last Modified: | 14 May 2026 13:00 |
| Published Version: | https://doi.org/10.1145/3815598.3815616 |
| Status: | In Press |
| Publisher: | ACM |
| Identification Number: | 10.1145/3815598.3815616 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:241128 |
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