To support consistent implementation of the University AI policy across FSE, colleagues should use official sources when checking guidance, sharing updates and signposting support for students. Using the same trusted sources will help ensure that staff are working from current information, students receive consistent guidance, and local messages remain aligned with Faculty and University expectations. […]
Following the reminder to add AI assessment categories to Canvas, FSE staff are also asked to ensure that students receive clear, practical communication about AI use in their assessments through the most appropriate channels for their unit. Canvas is the minimum requirement and should remain the main place where students can revisit assessment guidance at […]
As we prepare for Semester 1, all FSE staff are asked to ensure that the AI category for each summative assessment is clearly visible to students on Canvas by 14 September, when Semester 1 Canvas pages go live. Students should be able to find the AI category and related guidance in the Assessment and Feedback […]
As we prepare for Semester 1, all FSE academics are asked to review their summative assessments and apply the University AI assessment categories consistently across taught provision. This guidance is intended to support staff in making proportionate, assessment-led decisions about AI use. The starting point should always be the purpose of the assessment and the evidence of […]
As we approach the end of the 2025–26 academic year, preparations are underway for academic year 2026–27. This page outlines the key tasks course teams need to complete when preparing their Canvas spaces for the next academic year. Canvas Content Rollover As in previous years with Blackboard, course content from the current academic year has […]
Introduction Live coding—where instructors write and execute code in real time while verbalising their thinking—has become an increasingly prominent teaching strategy in STEM disciplines, particularly computer science. It is typically framed as an active learning method that exposes students to authentic problem-solving, debugging, and iterative development practices. This paper reviews the effectiveness of live coding […]
Dr Lei Zeng is a lecturer in Fashion and Business Technology. Lei has lived experience studying in the UK as an international student and in supporting international students in her role as a lecturer. Lei spoke to Teaching College about taking a culturally inclusive pedagogical approach to supporting international students. A culturally responsive pedagogical can […]
Co-teaching, defined as the collaborative planning and delivery of teaching by two or more educators within the same learning space, is a people centric pedagogic approach than can promote student understanding, a sense of community and inclusion across cohorts as well as increae staff enjoyment of teaching.In this series of Case Studies we talk to […]
The Science and Engineering Education Research and Innovation Hub has developed a new online course with partners including Royal Academy of Engineering, working with the Faculty of Science and Engineering eLearning team to support primary and lower secondary school teachers.
The course is available via Canvas Catalogue, with a launch webinar on 27 April hosted by the Royal Academy of Engineering.
For our second edition of Using Artificial Intelligence in Teaching and Learning Practices, we spoke to Cesare Giulio Ardito, Lecturer in the Department of Mathematics, and Alison Harvey, Katie Moore, and Dirk Engelberg from the Department of Materials to gather more thoughts on the use of artificial intelligence (AI) in their teaching and learning practices. […]
