Rose’s primary research interests and expertise focus on innovative student-centred teaching and learning strategies in a cyber security context.

These include, but are not limited to, scenario-based learning, flipped classrooms, and the use of classroom response systems for continuous assessment and feedback.

Rose is also interested in supporting the development of transferable skills for computing students and making computing education accessible.

Martin Goodfellow
(Research Group Deputy)

Martin's research interests are in automated marking, blended learning, using generative AI to improve programming education, and in the general area of data systems education.

Damien's teaching research focuses on gamification, developing AI tools for higher education assessments, engaging students through innovative teaching delivery, and the impact of outreach activities on SIMD40.

Lee's research involves integrating Generative AI tools in higher education assessments, emphasising industry-informed authentic evaluation methods and impactful outreach initiatives.

He is also interested in how computing education intersects with linguistics and information science, particularly the teaching of computing in minority language settings, given English's role as the field's lingua franca.

Mohamed’s education research focuses on the integration of artificial intelligence to enhance teaching and learning, with a focus on:

• automatic assessment marking through AI-generated test cases for student evaluation
• curriculum development using large language models to create syllabi and course materials aligned with specific learning outcomes and academic levels
• adaptive gamification systems designed to personalize engagement strategies for online and blended learning environments based on individual learner profiles

Joseph is interested in advancing AI techniques, with a focus on game-based learning and AI-driven educational applications. He aims to develop intelligent and adaptive systems to improve learning experiences.

Andrew's research interests are in:

• automated assessment
• novel approaches to classroom dynamics, such as team teaching
• teamwork and peer assessment strategies

Alasdair's research focuses on aspects of functional programming, whether they can be made more accessible, and whether the tools used in this setting can improve the understanding of programming more generally. He's also interested in team teaching and the use of theatrical techniques in an educational context. 

Fraser's teaching research interests centre on work-based learning, exploring how engaging learning can be used in apprenticeship degrees to support apprentices in acquiring and demonstrating rounded academic and workplace experiences, and providing them with a platform for career growth.

Brian focuses on accessibility and making teaching and learning enjoyable.

Leila's teaching research focuses on student engagement and interactive learning in online and in-person classrooms.

She's particularly interested in automated assessment and feedback, simplifying complex computer science topics for struggling students, and using virtual learning environments (VLE) and AI tools to enhance interactivity.