Key Information
Tutor: Dr John Pinney &
Duration: 3 hour live session (with 1 hour preparatory work)
Delivery: Live (In-Person, South Kensington)
ECRI Credit (PGR only): 1 credit
Audience: Research Degree Students
Dates
- Weds 04 November 2026
13:00-16:00, South Kensington - Thurs 15 April 2027
10:00-13:00, South Kensington
This applied and interactive course will allow participants to critically analyse the use of generative AI, namely Large Language Models (LLMs), in the research process, taking into account the ³Ô¹ÏºÚÁÏ guidelines.
In preparation for this course participants will be asked to complete a simple task (max 1 hour). During the course (3 hours), participants will work in stages on how to:
- Approach the preparation of a literature review, supported by LLMs;
- Critically analyse the related output produced by LLMs;
- Incorporate the critically analysed output into your literature review.
This course is open to Research Degree Students.
Intended Learning Outcomes:
By the end of this course, you will be better able to:
- Identify the institutional rules regarding the use of Generative AI.
- Recognise the strengths and limitations of LLMs as tools for supporting the writing process.
- Write prompts for a LLM to elicit useful information on a specified technical topic.
- Critique the output of an LLM.
How to book
Bookings will close two weeks before each live session.
Please ensure you have read and understood ECRI’s attendance & cancellation policy before booking.