LSE's AI and Education Fellowships are an exciting opportunity for LSE academics to lead on embedding AI in education at LSE and beyond.
In its first year, the programme has established and tested a new model for AI-integrated course development; created an engaged cohort; built a network to support, disseminate, and evaluate best practices; and begun a shift in institutional culture.
The consistent thread across all Fellows is a commitment to enhancing rather than replacing student reasoning, using AI to support critical thinking, structured enquiry, and the development of AI literacy.
Our LSE AI and Education Fellows and their work so far
Antonio is running structured experiments on how generative AI can reshape economics education, redesigning teaching so AI becomes a scalable support for student reasoning rather than a shortcut.
Read more about Antonio's Fellowship work
Jillian and Chris are embedding responsible, optional use of LLMs in LSE’s flagship interdisciplinary course for all undergraduates (around 2,000 students a year). Their focus is on improving flipped learning and inclusive participation, while building students’ critical AI literacy early in their degrees.
Read more about Jillian and Chris's Fellowship work
Dario’s AI Fellowship focuses on integrating AI tools into Behavioural Science teaching now, while also shaping future curriculum options that connect AI, technology and behavioural science.
Read more about Dario's Fellowship work
David plans to use AI tools to support enquiry-led teaching and a research-rich learning experience in large first-year mathematics courses with about 200 students.
Read more about David's Fellowship work
Dori, working with AI Fellow Jon Cardoso-Silva and Steven Williams (Eden Centre), has adapted Jon’s approach into a course-aware AI chatbot now being piloted with students on her Change Management teaching.
Read more about Dori's Fellowship work
Jon’s Fellowship explored how generative AI can be embedded into teaching to strengthen student learning and responsibility. Across two linked projects, he used AI to scaffold reasoning, reflection and feedback – while building in constraints to support pedagogy and academic integrity.
Read more about Jon's Fellowship work
Marcos’s Fellowship links two strands: using AI to better support students’ database modelling and programming, and exploring how agentic AI can improve quantitative teaching by shifting effort from repetitive coding to problem-solving and orchestrating multi-agent workflows. In this way, students will be prepared for a professional landscape in which agentic AI is increasingly central to data science practice.
Read more about Marcos's Fellowship work
Lourdes is redesigning Enfoques/, a year-long research project within Spanish Language and Society, to reflect how AI is used in real professional contexts. The redesign integrates GenAI in a structured way to strengthen academic literacy, critical judgement and responsible AI practice.
Read more about Lourdes's Fellowship work.
David will commence his buy-out in the 2026/27 academic year.
Clare will commence her buy-out in the 2026/27 academic year.
What does it mean to be an LSE AI and Education Fellow?
- The Fellowship is a one term teaching buy-out to allow our Fellows time and space to reimagine and redesign the teaching, learning and assessment on their course or multiple courses in the department through exploring and taking advantage of the opportunities of AI tools.
- Our Fellows will receive advice, guidance and one-to-one support from a dedicated 'AI in education development' expert who works jointly across the Digital Skills Lab and the Eden Centre. They will provide practical hands-on support for course redesign and the build and implementation of AI tools.
- Fellows will receive dedicated project management, administrative, and communications support to help with the promotion and dissemination of case studies and resulting course materials internally and externally (as appropriate).
What is expected of our LSE AI and Education Fellows?
- Each Fellow is delivering an AI-integrated course (or courses) aligned with the aims, deliverables, and timeline agreed upon with the Review Panel.
- They will champion their work in LSE and beyond, including producing an open access case study across media formats, sharing course materials, presenting at events, and supporting wider work in the department and in LSE on development of AI in education. They will be taking an active role in the Fellowship Community of Practice for the full two years of the scheme.
- Work closely with colleagues in their own department including the Deputy Head (Education), relevant Programme Director(s), and feed into the Department Teaching Committee or equivalent body.
More information
Please contact Thomas Watson, Head of Strategy and Portfolio Management, (ESE): t.watson@lse.ac.uk, with any additional queries.