An AI Teaching Assistant for Motion Picture Engineering
The rapid rise of LLMs over the last few years has promoted growing experimentation with LLM-driven AI tutors. However, the details of implementation, as well as the benefit in a teaching environment, are still in the early days of exploration. This article addresses these issues in the context of implementation of an AI Teaching Assistant (AI-TA) using Retrieval Augmented Generation (RAG) for Trinity College Dublin's Master's Motion Picture Engineering (MPE) course. We provide details of our implementation (including the prompt to the LLM, and code), and highlight how we designed and tuned our RAG pipeline to meet course needs. We describe our survey instrument and report on the impact o...
| Authors | Deirdre O'Regan, Anil C. Kokaram |
|---|---|
| Primary category | eess.IV |
| Published | 6 April 2026 |
| Last updated at source | 4 October 2026 |
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