University of Liverpool logo

Automated grading in mathematics & statistics: beyond the basics

Part of the IMA/RSS/LMS Higher Education Teaching and Learning Workshop Series 2024/25

This IMA funded event will take place at the University of Liverpool on Tuesday 29 July 2025

Synopsis

Automated grading plays an important role in helping lecturers manage large classes. It has been widely employed in courses assessing routine procedures such as differentiation, integration and Gaussian elimination. However, modern assessment packages are backed by computer algebra systems that are sufficiently powerful and flexible to mark much more advanced material. Since many UK mathematics degrees now have large classes at FHEQ levels five and six, this is an important area for development. The workshop will bring together leading content developers from across the UK and will foster collaboration between universities with an interest in automated grading for mathematics and statistics, using any platform.

Invited speakers

Schedule

10:00–10:15 Welcome
10:15–10.55 Christian Lawson-Perfect A tour of advanced maths assessment in Numbas
10:55–11:20 Jamie Mason Bringing E-assessment to abstract algebra courses
11:20–12:00 Yuri Bazlov CAS-backed assessment in advanced pure mathematics courses: technical and pedagogical challenges
12:00–13:30 Lunch
13:30–14:10 Gareth Woods Using Möbius to Support Assessment and Student Learning
14:10–14:35 Colin Steele The use of STACK in a diagnostic followup for students in multiple disciplines
14:35–15:00 Maciej Matuszewski Student experience of automated e-assessment feedback compared to traditional feedback
15:00–15:30 Coffee break
15:30–15:55 Robert Leek Reflections on 6 years of computer-aided assessment at the Jinan–Birmingham Joint Institute
15:55–16:20 Tim Lowe 10 years of STACK at the Open University
16:20–16:50 Discussion
16:50–17:00 Conclusion

About the organisers

Contact us

Please email Jessica or Ian if you have any questions about the workshop.

Other events in the series

Fostering Engagement and Learning in Mathematics in the Digital Age

Rethinking feedback and assessment: what does this mean in traditionally exam-based mathematics?

Enhancing Student Community and Learning in the Mathematical Sciences: Adapting Strategies for Changing Patterns of Student Engagement

Rethinking Teaching and Learning in The Mathematical Sciences in Times of Generative AI