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| ID | Type | Description | Link |
|---|---|---|---|
| 2023jyxm1150 | Other Grant/Funding Number | 2023 Anhui Province Quality Engineering Project |
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Educational Trial: GPT-Based Training vs. Traditional Teaching for Hypertension Management
The goal of this educational trial is to determine whether a Generative Pre-trained Transformer (GPT)-based training system is more effective than traditional teaching methods in helping medical students master hypertension management plans. It will also evaluate the educational effectiveness and engagement of the GPT-based system. The main questions it aims to answer are:
Does the GPT-based training improve the ability of students to develop effective hypertension management plans compared to traditional methods? How do students perceive the use of the GPT system in their learning process? Researchers will compare the GPT-based training system to traditional teaching methods to see if the innovative AI approach enhances learning outcomes in medical education.
Participants will:
Engage with either the GPT-based system or traditional teaching materials. Visit the educational facility periodically for assessments and feedback sessions.
Keep a diary of their learning experiences, noting any difficulties or advantages they observe in the training method they are assigned.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| GPT-based training | Experimental | Generative Pre-trained Transformer (GPT)-based training system |
|
| traditional training | Active Comparator | traditional training method |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| GPT-based training | Behavioral | GPT-based training whether could improve the ability of students to develop effective hypertension management plans |
|
| Measure | Description | Time Frame |
|---|---|---|
| structured theoretical exam scores | Structured Theoretical Exam Scores - Immediate and One-Month Follow-Up: This outcome measures the effectiveness of teaching hypertension management. Students take a structured theoretical exam immediately after the training and again one month later to assess knowledge retention. The exam covers hypertension pathophysiology, risk factors, diagnostics, and treatments. Scores range from 0 to 100, with higher scores indicating better knowledge acquisition and retention. | From enrollment to the end of treatment at 4 weeks |
| Clinical Case Test Scores on Hypertension | Clinical Case Test Scores on Hypertension - Immediate and One-Month Follow-Up:This outcome measures how well students apply theoretical knowledge to practical clinical scenarios. Tests are administered immediately after training and one month later, involving clinical simulations where students diagnose hypertension and develop treatment plans. Scores range from 0 to 100, with higher scores indicating better clinical reasoning and application of knowledge. | From enrollment to the end of treatment at 4 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Mood Elevation Scale | This outcome measures the intensity of emotions felt by students during learning. Participants rate statements on a Likert scale from 1 to 5, where 1 represents "not felt at all" and 5 represents "felt very intensely". Higher scores indicate a stronger emotional response to the learning experience. | From enrollment to the end of treatment at 4 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| xianrui luo | The Second Hospital of Anhui Medical University | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| 678 Furong Road, Economic Development Zone, Hefei City, Anhui Province, China | Hefei | Anhui | 230601 | China |
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| ID | Term |
|---|---|
| D006973 | Hypertension |
| ID | Term |
|---|---|
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
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| traditional training | Behavioral | traditional teaching methods |
|
| Cognitive Load Index (CLI) | This outcome assesses the cognitive load experienced by students during learning. Participants rate statements on a Likert scale from 1 to 5, where 1 represents "strongly disagree" and 5 represents "strongly agree". Higher scores indicate a higher perceived cognitive load during learning. | From enrollment to the end of treatment at 4 weeks |
| Teaching Satisfaction Assessment | This outcome evaluates student satisfaction with the teaching methods. Participants rate their experience on a Likert scale from 1 to 5, where 1 represents "strongly disagree" and 5 represents "strongly agree". Higher scores indicate greater satisfaction with the teaching method. | From enrollment to the end of treatment at 4 weeks |
| Technology Acceptance Model | This outcome assesses students' acceptance of the GPT system. The questionnaire uses a Likert scale from 1 to 5, where 1 represents "strongly disagree" and 5 represents "strongly agree". Higher scores indicate greater acceptance, usability, and satisfaction with the GPT system. | From enrollment to the end of treatment at 4 weeks |