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.
Aims
- 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: https://warwick.ac.uk/fac/cross_fac/academy/activities/learningcircles/future-of-learning/
The team’s work is also summarised in this SEDA blog: https://thesedablog.wordpress.com/2023/07/26/the-russell-group-have-spoken-so-are-you-ready-for-september/
Project Lead
Isabel Fischer
WBS
Project Co-lead
Leda Mirbahai
WMS
Staff
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
Students
TBC