Artificial Intelligence, Medical Education, Self-Directed Learning
Conditions
Keywords
self-directed learning, Artificial Intelligence, Medical Education, ChatGPT, large language model
Brief summary
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.
Interventions
OTHERcustom GPT supported self-directed learning
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.
Sponsors
Central South University
Wang Shalong
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Self-Directed Learning Scale | 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 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Cornell Critical Thinking Test (CCTT) Level Z | 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 |
| Flow Short Scale | 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 |
Countries
China
Outcome results
None listed