Personal statement

Andy Gray is a Lecturer in Computing and Co-Program Lead for Computing at Bath Spa University, where he combines teaching with cutting-edge research in artificial intelligence and machine learning.

Andy is part of the EPSRC-funded Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence-Driven Systems. His research focuses on developing AI systems that support teachers by reducing workload, enhancing decision-making, and enabling the creation of impactful lessons for learners.

Before entering higher education, Andy was a computer science teacher in secondary and sixth form schools across England, where he developed a deep understanding of the challenges faced by educators. He also served as a Short Course Curriculum Manager at Bath Spa University, ensuring high-quality delivery of boot camps and short courses that met Ofsted standards and supported learners' transitions into tech roles.

Andy's notable achievements include his leadership in developing industry-aligned computing programs and his contributions to the field of education technology, aiming to bridge the gap between innovative AI research and practical classroom applications.

Academic qualifications

  • PhD in Artificial Intelligence & Machine Learning (near completion)
  • MSc in Human-centred Big Data and Artificial Intelligence
  • MSc in Advanced Computer Science
  • PGCE in Secondary Computing & ICT
  • BSc in Computing and Information Systems.

Professional memberships

  • BCS (Chartered Institute for IT)
  • ACM (Association for Computing Machinery).

Other external roles

  • BCS Committee Member for the Bristol and Bath Region

Teaching subjects

  • Artificial Intelligence
  • Innovation lab I and II
  • Web Development.

 

Research and academic outputs

Go to ResearchSPAce

Using Elo rating as a metric for comparative judgement in educational assessment
book_section

Gray, A, Rahat, A.A.M, Crick, T, Lindsay, S and Wallace, D (2022) 'Using Elo rating as a metric for comparative judgement in educational assessment.' In: ICEMT '22: Proceedings of the 6th International Conference on Education and Multimedia Technology. Association for Computing Machinery, Guangzhou, China, pp. 272-278. ISBN 9781450396455


A Bayesian active learning approach to comparative judgement within education assessment
article

Gray, A, Rahat, A, Crick, T and Lindsay, S (2024) 'A Bayesian active learning approach to comparative judgement within education assessment.' Computers and Education: Artificial Intelligence, 6. e100245. ISSN 2666-920X