Artificial intelligence based personalized student feedback system -Sisu Athwala' to enhance exam performance of medical undergraduates.

ABSTRACT:

Background

In medical education, mentoring and feedback play crucial roles. Providing feedback on exam performance is a vital component as it allows students to improve. Feedback has to be tailor made and specific to the individual student. This needs lot of time and human resources, which are always not in abundance. Use of artificial intelligence (AI) is a promising proposition yet it comes with the integral problem of generating inaccurate responses by the Large language models (LLM). To alleviate and minimize this, we have developed our unique model 'Sisu Athwala' using retrieval augment generation (RAG) with custom LLM's.

Objective

To design and implement an AI-based tool using RAG to provide customized feedback to medical students to enhance their exam performance, min

SUBMITTER: Seneviratne T 

PROVIDER: S-EPMC12677440 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature