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Advancing AI Literacy: Sprint Day Highlights Framework for Curriculum Innovation

The Sprint Day workshop showcased a new AI teaching and learning framework, highlighting best practices for AI integration in curricula and fostering staff collaboration.

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Dr Lilian Schofield

The Sprint Day workshop was organised in January as part of the President and Principal’s Fund for Educational Excellence project “Creating an open, co-created and co-guided toolkit to support staff integration of AI literacy and skills into the curricula”, led by Dr Lilian N. Schofield and co-investigators Dr Xue Zhou, Dr Lesley Howell, Dr Aisha Abuelmaatti, Dr Cassandra Lewis, and Dr Daniela Tavasci. 

The event, one of the deliverables of the project, was attended by 75 staff members. The aim of the event was to showcase the AI in teaching and learning framework (Zhou & Schofield, 2024), an outcome of the project, and to demonstrate how the framework has been incorporated at the module and programme levels.  There were four demonstrations at the module level and four at programme level. Feedback from the event showed that staff need a community where they can share best practices on AI integration and meet colleagues with whom they can network and collaborate.

Integrating AI into the curriculum

In 2024, the President and Principal’s Fund for Educational Excellence funded our project, “Creating an open, co-created and co-guided toolkit to support staff integration of AI literacy and skills into the curricula.” This project brings together Queen Mary champions in AI pedagogical research and scholarship from five schools (the School of Business and Management, the School of Economics and Finance, the Institute of Dentistry, the School of Electronic Engineering and Computer Science, and the School of Physical and Chemical Sciences). The aim of the project is to develop an open framework and guidance to help staff integrate AI literacy and skills into the curriculum, enhancing students’ AI capabilities through a progressive approach. The framework developed in 2024 has been widely adopted by 35 modules at Queen Mary.

75 Queen Mary staff members and educators from elsewhere attended the workshop. At the undergraduate level, Dr Andrew Woon, Dr Maria Turri, Dr Stuart Miller, Dr Dimitris Kalogiros, and Professor Simon Lucas presented their case studies on how they have integrated AI into the curriculum. At the postgraduate level, Dr Xue Zhou, Professor Yue Chen, Dr Ali Nankali and Dr Edward Macaulay presented their case studies.

Discussions from the event showed that while Generative AI literacy is important, it cannot be uniformly applied across all subjects and disciplines, as demonstrated by Dr Maria Turri’s presentation on “AI and critical essays”. Participant feedback highlighted a strong desire for a community similar to Sprint Day, where staff can learn from others’ AI initiatives. Many noted this was their first opportunity to see the variety of AI projects being carried out by Queen Mary staff.

Participants particularly valued: 

  • Learning different perspectives on AI use across disciplines 
  • Sharing experiences and collaborative brainstorming 
  • Connecting with colleagues from various disciplines 
  • Understanding different approaches to AI literacy integration and learning about the framework 

Building on the momentum generated by the Sprint Day, we are already exploring and planning future events that will continue to foster collaboration, networking and the sharing of excellent practice across the institution. 

Dr Lilian N Schofield

Senior Lecturer in Non-Profit Management Practice; Deputy Director of Education (student experience); Academic Lead, Undergraduate Year in Industry Programmes

 

 

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