ChatGPT Helping Advance Training for Medical Students: A Study on Self-Directed Learning Enhancement (CHAT-MS)

May 14, 2024 updated by: Wang Shalong

Enhancement of Self-Directed Learning Through Custom GPT's AI Facilitation Among Medical Students: A Open-label, Randomized Controlled Trial

The goal of this clinical trial is to evaluate the effect of LearnGuide, a custom GPT developed with ChatGPT for supporting self-directed learning (SDL) in medical students. The main questions it aims to answer are:

How does LearnGuide influence SDL skills among medical students? Can LearnGuide improve critical thinking and learning flow as measured by Cornell Critical Thinking Test (CCTT) Level Z score and Global Flow Score (GFS)?

Participants will:

Undergo a two-hour introduction to LearnGuide. Engage in 12 weeks of SDL task-based training with LearnGuide's support.

If there is a comparison group: Researchers will compare the group utilizing LearnGuide for SDL and the group without this tool to see if there is a significant difference in SDL skills, critical thinking, and learning flow experiences.

Study Overview

Study Type

Interventional

Enrollment (Actual)

103

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Hunan
      • Changsha, Hunan, China, 410011
        • Department of Geriatirc Surgery

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Undergraduate and postgraduate students studying at the Second Xiangya Hospital
  • with access to ChatGPT

Exclusion Criteria:

  • utilization of large language models for learning assistance more than once weekly for a period exceeding 2 months.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention group
Engage in 12 weeks of SDL task-based training with LearnGuide's support.
The intervention in our study involved a LearnGuide utilization guide course along with a 12-week integrated training program that incorporated LearnGuide. In the first two-hour session, instructional staff introduced LearnGuide through a hands-on demonstration, teaching students how to use ChatGPT effectively by crafting high-quality prompts. The team emphasized LearnGuide's role as an "AI facilitator" in self-directed learning (SDL). Following the introduction, students were assigned various tasks including online learning, literature reviews, case analyses, and Problem-Based Learning (PBL) activities. Over the 12-week SDL phase with LearnGuide, students were required to complete at least one of these tasks weekly. This setup allowed students to consult mentors for any LearnGuide-related questions, enhancing their learning experience.
No Intervention: control group
the control group engaged in SDL task-based training without the support of LearnGuide or any similar artificial intelligence (AI) assistance.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Self-Directed Learning Scale
Time Frame: at 6 ,12 and 14 weeks
Utilizing a five-point Likert scale across ten items, assesses learning autonomy in adolescents and adults. Anchored in Brockett's framework, it quantifies learners' independent learning inclination, exhibiting robust internal consistency and validity
at 6 ,12 and 14 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Cornell Critical Thinking Test (CCTT) Level Z
Time Frame: at 6 ,12 and 14 weeks
The CCTT Level Z measures cognitive abilities in students beyond 11th grade with 52 multiple-choice questions across six domains based on the Ennis and Millman Theory, including deductive and inductive reasoning, semantic analysis, credibility assessment, experimental planning, and assumption identification
at 6 ,12 and 14 weeks
Flow Short Scale
Time Frame: at 6 and 12 weeks
The Flow Short Scale (FSS), a condensed form of the Flow State Scale, features ten items on a 7-point scale to assess the flow experience across various activities, from sports to gaming. Its concise yet comprehensive format has made it widely used for evaluating flow experiences in diverse settings
at 6 and 12 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 25, 2023

Primary Completion (Actual)

March 18, 2024

Study Completion (Actual)

April 15, 2024

Study Registration Dates

First Submitted

February 17, 2024

First Submitted That Met QC Criteria

February 17, 2024

First Posted (Actual)

February 23, 2024

Study Record Updates

Last Update Posted (Actual)

May 16, 2024

Last Update Submitted That Met QC Criteria

May 14, 2024

Last Verified

May 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

In our study, the decision regarding the sharing of individual participant data (IPD) has not yet been made due to ongoing considerations about privacy, consent, and data protection. We are currently evaluating the ethical implications and ensuring compliance with relevant data protection regulations before making a decision. Additionally, we aim to assess the feasibility of anonymizing IPD in a manner that maintains the integrity and utility of the data for potential future research. Our priority is to safeguard participant confidentiality and respect their consent preferences, while also considering the value of data sharing for advancing scientific knowledge. Further discussions and consultations with stakeholders are planned to reach a well-informed decision.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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