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AI tutor boosts med Students' machine learning skills?

NCT ID NCT07449182

Knowledge-focused Sponsor: Sun Yat-sen University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether an AI-powered teaching agent can help medical graduate students learn machine learning and data mining more effectively. About 56 students will use the AI tool for real-time help, study planning, and project guidance. Their performance will be compared to a previous class that learned without the AI. The goal is to see if the AI improves grades, confidence, and engagement.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 56 people

The number the study aims to enrol. It can still change while the study runs.

Started

May 2025

Expected to finish

Mar 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. Medical graduate students from universities in the Guangdong-Hong Kong-Macao Greater Bay Area; 2. Graduate students who have taken the "Machine Learning and Data Mining" course; 3. Have completed the required prerequisite courses: "Medical Statistics" and "Nursing Research"; 4. Capable of operating the AI Educational Agent system normally and willing to undergo relevant teaching interventions and assessments during the study period. Exclusion Criteria: 1. Unwilling to use the AI education agent system, or refusing to allow the research team to collect their relevant data; 2. Students who cannot commit to the full duration of the course or have known scheduling conflicts that would prevent regular attendance; 3. Students who have previously enrolled in or audited this course in prior academic years to avoid learning effect bias

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artificial intelligence in medicine Medical education

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • North Campus of Sun Yat-sen University

    RECRUITING

    Guangzhou, Guangdong, 510000, China

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