An AI Educational Agent for Medical Machine Learning Courses

Recruiting now · Not applicable

Conditions studied: Medical Education, Artificial Intelligence in Medicine

In brief

The goal of this interventional study is to evaluate the effectiveness of a Large Language Model (LLM)-based educational AI Agent in graduate students (Masters and PhD) specializing in medicine or nursing who are enrolled in the "Machine Learning and Data Mining" course. The main questions it aims to answer are: Does the use of an educational AI Agent improve students' academic performance and practical skills in machine learning compared to traditional methods? Does the AI intervention enhance students' learning confidence, satisfaction, and cognitive engagement? Researchers will compare students currently using the AI Agent (experimental group) to a historical control group (students from the previous cohort who did not use the AI tool) to see if the AI-assisted learning model leads to significantly higher learning achievements and better educational experiences. Participants will: Utilize the Teaching Agent for real-time answers to theoretical questions, personalized study planning, and knowledge reinforcement. Engage with the Research Agent to assist with literature reviews, research design optimization, and academic writing structure. Use the Practice Innovation Agent for guidance on coding, algorithm debugging, and applying machine learning models to medical data analysis projects.

Key facts

Study ID: NCT07449182
Run by: Sun Yat-sen University
People needed: 56
Starts: 2025-05-01
Expected to finish: 2026-03-31
Last updated by the study team: 2026-03-05

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

Medical graduate students from universities in the Guangdong-Hong Kong-Macao Greater Bay Area;
Graduate students who have taken the "Machine Learning and Data Mining" course;
Have completed the required prerequisite courses: "Medical Statistics" and "Nursing Research";
Capable of operating the AI Educational Agent system normally and willing to undergo relevant teaching interventions and assessments during the study period.

You may not qualify if…

Unwilling to use the AI education agent system, or refusing to allow the research team to collect their relevant data;
Students who cannot commit to the full duration of the course or have known scheduling conflicts that would prevent regular attendance;
Students who have previously enrolled in or audited this course in prior academic years to avoid learning effect bias

Where it is running

North Campus of Sun Yat-sen University — Guangzhou, Guangdong, China (enrolling)

Full record on ClinicalTrials.gov

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