View programme: AI in Teaching and Learning at Oxford Knowledge Exchange Forum

9am  

Registration and arrival refreshments

Room: Entrance Hall

9.30am  

Welcome

Room: Nelson Mandela Lecture Theatre

Speaker: Dr Jonathan Reynolds, Deputy Dean (External Relations), Saïd Business School

Keynote presentation (recorded)

Room: Nelson Mandela Lecture Theatre

Title: Assessment design for a time of artificial intelligence

Speaker: Professor Phillip Dawson, Co-Director, Centre for Research in Assessment and Digital Learning, Deakin University, Australia (via Teams)

Chair: Marion Manton, Head of Digital Education, Centre for Teaching and Learning

10.20am 

Lightning talks (recorded)

Room: Nelson Mandela Lecture Theatre

This session will introduce six of the 12 projects supported by the AI Teaching and Learning Exploratory Fund. This is your opportunity to decide which three projects you would to hear more about in the next session.

1. Writing and Translation Feedback Tool (Humanities) 
2. Support for Neurodiverse Humanities Students (Humanities)
3. AI-driven Feedback Loops (MSD)  
4. Compsci Course Guide Bot (MPLS)
5. Paper to Podcast Project (MSD)
6. AI-assisted Annotations for Histology Practicals (MSD)

Chair: Marion Manton, Head of Digital Education, Centre for Teaching and Learning

Refreshment break

Room: Entrance Hall

11.15am

Project discussions

Following the lightning talks, this session provides an opportunity for you to engage more deeply with the project teams.

You will join three 20-minute small-group discussions, rotating among four rooms hosted by the teams behind the projects.

This offers you a chance to view the projects outputs, explore project themes in more detail, ask questions, and share perspectives on the role of AI in teaching and learning at Oxford.

Timings:

• 11.15am: Participate in 1st project discussion (20 mins)
• 11.35am: Move to 2nd project discussion (5 mins)
• 11.40am: Participate in 2nd project discussion (20 mins)
• 12noon: Move to 3rd project discussion (5 mins)
• 12.05pm: Participate in 3rd project discussion (20 mins).

Projects and rooms (see floor plan with rooms highlighted):

• Writing and Translation Feedback Tool (Founders Room, Table 1) 
• Support for Neurodiverse Humanities Students (Founders Room, Table 2)
• AI-driven Feedback Loops (Seminar Room A, Table 1)  
• Compsci Course Guide Bot (Seminar Room A, Table 2)
• Paper to Podcast Project (Andrew Cormack Seminar Room)
• AI-assisted Annotations for Histology Practicals (Seminar Room 13)

12.30pm

Lunch

Room: Entrance Hall

In conversation: Developing policy and guidance for AI in education at Oxford 

Room: Nelson Mandela Lecture Theatre

Participants:

• Alwyn Collinson, Head, AI and Machine Learning Competency Centre
• Dr Steve New, Associate Professor in Operations Management, Saïd Business School (and Chair of the University's AI and Education Start and Finish Group)
• Dr Sumathi Sekeran, Senior Research Scientist, Nuffield Department of Clinical Neurosciences

Chair: Dr Jane Pritchard, Head of Educational Development, Centre for Teaching and Learning

In this session, members of the University’s AI and Education Task and Finish Group will discuss current efforts to develop policy and guidance for the use of AI in education. The panel will address key considerations, emerging challenges, and next steps, with time for audience questions. 

1.40pm

Lightning talks (recorded)

Room: Nelson Mandela Lecture Theatre

This session will introduce the final six projects supported by the AI Teaching and Learning Exploratory Fund. This is your opportunity to decide which three projects you would to hear more about in the next session.

1. AI-assisted Simulated Patient for Clinical Training (MSD)
2. Brainard the Fox (Humanities)
3. AI for Learning: Helping Foundation Year Students in the Physical Sciences Use ChatGPT Effectively (MPLS) 
4. Voice Chatbot for Language Learning (OUDCE/Humanities) 
5. Interdisciplinary Collaboration Matching (Social Sciences) 
6. Reproducibility of Research (MSD)

Chair: Alwyn Collinson, Head, AI and Machine Learning Competency Centre

Refreshment break

Room: Entrance Hall

Project discussions

Following the lightning talks, this session provides an opportunity for you to engage more deeply with the project teams.

You will join three 20-minute small-group discussions, rotating among four rooms hosted by the teams behind the projects.

This offers you a chance to view the projects outputs, explore project themes in more detail, ask questions, and share perspectives on the role of AI in teaching and learning at Oxford.

Timings:

• 2.35pm: Participate in 4th project discussion (20 mins)
• 2.55pm: Move to 5th project discussion (5 mins)
• 3pm: Participate in 5th project discussion (20 mins)
• 3.20pm: Move to 6th project discussion (5 mins)
• 3.25pm: Participate in 6th project discussion (20 mins).

Projects and rooms (see floor plan with rooms highlighted):

• AI-assisted Simulated Patient for Clinical Training (Founders Room, Table 1)
• Brainard the Fox (Founders Room, Table 2)
• AI for Learning: Helping Foundation Year Students in the Physical Sciences Use ChatGPT Effectively (Seminar Room A, Table 1) 
• Voice Chatbot for Language Learning (Seminar Room A, Table 2) 
• Interdisciplinary Collaboration Matching (Andrew Cormack Seminar Room) 
• Reproducibility of Research (Seminar Room 13)

Closing remarks

Room: Nelson Mandela Lecture Theatre

Speaker: Dr Jane Pritchard, Head of Educational Development, Centre for Teaching and Learning