AI Co-Creator projects: Lunch & Learn Sessions

Join our 50-minute online sessions where some of the AI Co-Creator teams will present their project findings.

What are they?

In support of the ChangeMakers AI Co-Creator work in the summer of 2023, we're hosting 50-minute online sessions where teams will present their project findings. These sessions are for UCL staff and aim to help others think through their practice and approaches to AI. Additionally, there will be an opportunity to engage with the teams, ask questions, and share your own insights and experiences.

What platform are you using?

We will be using Microsoft Teams.

Who are the sessions for?

The sessions are for UCL staff. 

How do I sign up?

Sign up on LearnUpon. You will need to enrol on the course and register for each session that you are interested in from the menu on the left.

Session 1: “Nothing replaces a student’s brain, it doesn’t have the flair a student has” – co-creating our approach to AI through dialogue, Wednesday 25th October, 1-2pm

Session outline:

Introduction from the ChangeMakers Team introducing the projects, sharing tips and insights on working in partnership with students to explore AI and launching our new ChangeMakers Dialogue scheme, with an initial focus on supporting student-staff dialogue around AI. Student-Staff panel: Staff and students from the AI Co-Creator projects reflect on how working together helped build confidence and knowledge of some of the AI tools and helped staff think through their educational practice.

 

Panel Members:

• Tim Young, Professor (Teaching), Queen Square Institute of Neurology.
• Deepti Nayak, Lecturer (Teaching), Institute of Clinical Trials and Methodology.
• Photini Vrikki, Lecturer in Digital Methods in the Humanities.
• Mariya Kachwala, UCL student, School of Slavonic and Eastern European Studies.
• Jake Valentino, UCL student, School of Management.
• Gabsile Phala, UCL Student, Institute of Clinical Trials and Methodology.
• Aliyah Khanum, UCL Student, Institute of Clinical Trials and Methodology.

There will be time for the audience to ask questions of the panel. 

View Session 1 recording on Media Central

Session 2: ‘The blandness is its formulaic style’: insights to help understand the impact of AI on assessments, Wednesday 1^st November, 1-2pm

• Introduction from Marieke Guy, Head of Digital Assessment & Assessment Design Workstream Co-Lead.
• Peter Braga (School of Slavonic and Eastern European Studies) discusses 6 strategies to combat AI in your assessment.
• Rashmi Mathew (Institute of Ophthalmology), Neil Roberts (Faculty Learning Technology Lead for Brain Sciences) and Dominic Wong (share how AI is prompting them to create better problem-based learning (PBL) assessments.
• Deepti Nayak, Gabsile Phala and Aliyah Khanum (Institute of Clinical Trials and Methodology) explore the extent to which readily available Large Language Models (LLMs), like ChatGPT and Google Bard, can answer previous exam questions in clinical trials, and how students could be supported to use them to improve their outputs.
• 10 minutes for questions

View Session 2 recording on Media Central (please note, there are no captions for the first 1.29 mins).

Session 3: ‘If you go into Chat-GPT assuming you know what it's doing, you are going to get a lot of things wrong’: understanding how we can support students to use AI well, Wednesday 15^th November, 1-2pm

• Peter Puxon, Ayanna Prevatt-Goldstein & Jessica Brooks (Academic Communications Centre) explore what is gained and lost from the writing process when using AI tools.
• Chekfoung Tan, Liam Perez and Kartik Gupta (Space and Climate Physics) look at how we can support students to develop their prompt engineering skills and critical analysis. They also discuss the importance of trust between staff and students.
• 10 minutes for questions.

View Session 3 recording on Media Central

Session 4: ‘AI is going to completely change our education and our working lives’: exploring what AI means for us, Wednesday 22^nd November, 1-2pm

• Eleni Makrinou (Structural and Molecular Biology), Janice Kiugu (Faculty Learning Technology Lead for Life Sciences), Jason Cho and Muyang Duan (Division of Biosciences) share how AI can be used to create Multiple Choice Questions (MCQs) and Short Answer Questions (SAQs) for revision and formative learning.
• Amy Unsworth and Alon Hannuna (Natural Sciences) look at whether using AI can help students understand research papers.
• Tim Neumann (Faculty Learning Technology Lead for IOE) and Thaiza Pinto (Culture, Communication and Media, IOE) talks us through the benefits and drawbacks of using AI to summarise live events, from large lectures to 1-to-1 tutorials.
• 10 minutes for questions.

View session 4 recording on Media Central

Session 5: ‘We need to be aware of the impact and limitations that AI is going to have in our professions and in education broadly’: AI, Careers and the impact on professions, Wednesday 29^th November, 1-2pm

• Fiona Harvey (Faculty Learning Technology Lead for SHS), and Zachary Cannon, UCL Anthropology Graduate, present a critical perspective on AI and help us think through how we can support students to work effectively and responsibly with AI.
• Simon Rowberry looks at the potential implications of AI on the publishing industry and what students will need to know in light of that.
• Evi Katsapi and Angie Choi (Psychology & Human Development, Institute of Education) look at how they have used AI to change the process of getting an academic reference. 
• 10 mins for questions.

View session 5 recording on Media Central

Will the session be recorded?

Although we hope you'll join us live we appreciate that it's not always possible. We are aiming to record the sessions and will upload links to session recordings on this page (under the session headings) and on our blog. 

Where else can I find out what happened on the projects?

• Visit the Freedom to Learn blog for videos from the teams discussing their projects and what they learnt.