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AI for Good: Evaluating and Shaping Opportunities of AI in Education

About the Project

Following the rise of awareness of the opportunities (and threats) of artificial intelligence (AI) in education, we have created an open self-selected task and finish group which aims to review and ‘imagine’ the opportunities and challenges of AI in education, including in regards to assessment. Our vision is to deploy AI as a tool to support all students, independent of background and sociodemographic characteristics, to be successful in their studies and in their future work, while ensuring academic integrity, as well as to support educators to feel confident in using AI effectively in promoting learning.

Project Context

AI is here to stay in an educational context. While some of us have been working with learner-facing AI for many years, this project will ensure valuable insights both for learner-facing and educator-facing AI are captured. It is necessary to capture, shape, and disseminate the opportunities for both learner-facing and educator-facing AI, and to further understand both the potential benefits and limitations of this technology.


  • To help educators understand how to potentially embrace recent AI developments in their professional practice
  • To review the opportunities of using AI from a learner-facing perspective, in regards to both designing and setting diverse assessments, and providing formative feedback
  • To review the opportunities of using AI from a educator-facing perspective, in regards to both planning and organising modules, and providing summative feedback; in doing so, to potentially provide advice to the institution on what software to use
  • To ensure that the risks of AI are understood, and to review and mitigate the challenges to Academic Integrity

Project Impact

The team created a University of Warwick community of practice with over 50 members that reviewed opportunities and risks of generative AI. The group was open to the entire Warwick community and was composed of students and staff, as well as members from other institutions and industry.

To share best practice, the group has captured their findings and made their extensive bank of reports and resources available to others:

The team’s work is also summarised in this SEDA blog: 

Isabel Fischer - decorative image

Project Lead

Isabel Fischer


Leda Mirbahai - decorative image

Project Co-lead

Leda Mirbahai



Ram Gopa, WBS

Amy Stickels, Foundation Studies

Lee Griffin, WMG

Lewis Beer, Strategy Group

Luke Hodson, Psychology

Zhiyan Guo, SMLC

Kat Halliday, Library

Kelly Mayjonade Christy, SMLC

Claire Rocks, Computer Science

Heather Meyer, IATL

Martyn Parker, Statistics

Neha Gupta, WBS

Terry Gleave, Life Sciences (Liverpool)

Claudia Rei, Economics

Sam Grierson, Foundation Studies

David Buxton,

Elenore Li, Innovation Group

Kerry Dobbins, Academic Development Centre

Gemma Gray, Psychology

Nandy Millan, Digital Innovation (Oxford)

Caroline Hurst

Matthew Voice, Applied Linguistics

Adrian von Muhlenen. Psychology

Jessica Humphreys, Academic Development Centre

Matt Lucas, IBM