Introduction to AI for teaching, learning and assessment
Workshop details
2026-27 dates
New dates will be available soon - .
Learning Outcomes
Upon completion of this workshop, participants will have:
- Critically evaluated their current views on the opportunities and threats to Higher Education posed by AI;
- Evaluated own assessment methods in terms of their AI 'compatibility';
- Identified opportunities that AI presents for teaching, learning and assessment.
Tutors
Monika Pazio Rossiter, Tiffany Chiu, Coco Nijhoff
Administrative Enquiries
Suyane Beasley edudevcourses@ic.ac.uk
Who should attend?
This workshop is designed for any staff member who is interested in reflecting on the impact that AI might have on teaching, learning and assessment. The workshop creates a space for practitioners to examine their own practice and where AI can present challenges and opportunities. You will evaluate elements of your own assessment practice and reflect on potential changes that could be introduced. Drawing on a number of case studies from ³Ô¹ÏºÚÁÏ and across the sector you will consider opportunities that AI presents for teaching and student learning.
Key areas
- Assessment design for the age of AI
- AI opportunities for teaching and learning
- Planning teaching and learning activities
- Developing AI literacy
- Supporting student learning in higher education
³Ô¹ÏºÚÁÏ STAR Framework
This workshop is particularly suitable for those seeking recognition at D1 or D2 level of the ³Ô¹ÏºÚÁÏ STAR Framework. It addresses the following dimensions of the Professional Standards Framework (PSF 2023): A1, A2, A3, A4, A5, K2, K3, K4, V1, V3, V4.
