A Mixed-Methods Analysis of the Six Core Competencies and AI Literacy Reflected in Medical Students' Self-Assessment During Small-Group Discussions

August 16, 2026 updated by: National Taiwan University Clinical Trial Center, National Taiwan University Hospital
This study aims to examine how the six Accreditation Council for Graduate Medical Education (ACGME) core competencies and AI literacy are reflected in medical students' self-assessment narratives following small-group discussions. A mixed-methods design will be used to analyze approximately 500 de-identified self-assessment reflection reports submitted by fourth-year medical students who completed an integrated pathology and pharmacology small-group discussion course at National Taiwan University during the 2023-2026 academic years.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

This study aims to examine how the six Accreditation Council for Graduate Medical Education (ACGME) core competencies and AI literacy are reflected in medical students' self-assessment narratives following small-group discussions. A mixed-methods design will be used to analyze approximately 500 de-identified self-assessment reflection reports submitted by fourth-year medical students who completed an integrated pathology and pharmacology small-group discussion course at National Taiwan University during the 2023-2026 academic years. Reports containing fewer than 300 words or lacking substantive reflection will be excluded. Deductive thematic analysis will be conducted using the six ACGME core competencies-Patient Care, Medical Knowledge, Practice-Based Learning and Improvement, Interpersonal and Communication Skills, Professionalism, and Systems-Based Practice-as an a priori coding framework. Open coding will be applied to identify emerging themes not adequately captured by this framework, including AI use and literacy, professional identity formation, faculty facilitation, and self-directed learning strategies. Two researchers will independently code all reports using a predefined codebook, and inter-rater reliability will be assessed using Cohen's kappa. Quantitative content analysis will examine the frequencies, proportions, co-occurrence patterns, and academic-year differences in competencies and emerging themes. Qualitative and quantitative findings will subsequently be integrated through joint displays.

Study Type

Observational

Enrollment (Estimated)

450

Contacts and Locations

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

Study Contact

Study Locations

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

fourth-year medical students

Description

Inclusion Criteria:

  • Reports from the fourth-year medical students who completed an integrated pathology and pharmacology small-group discussion course at National Taiwan University during the 2023-2026 academic years.

Exclusion Criteria:

  • Reports containing fewer than 300 words or lacking substantive reflection will be excluded.

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

Cohorts and Interventions

Group / Cohort
fourth-year medical students
fourth-year medical students who completed an integrated pathology and pharmacology small-group discussion course at National Taiwan University during the 2023-2026 academic years

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The occurrence of six core competencies and AI literacy
Time Frame: 3 months
The occurrence of six core competencies and AI literacy in the self-reflection narratives
3 months

Collaborators and Investigators

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

Sponsor

National Taiwan University Hospital

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 (Estimated)

August 15, 2026

Primary Completion (Estimated)

December 31, 2028

Study Completion (Estimated)

December 31, 2028

Study Registration Dates

First Submitted

August 16, 2026

First Submitted That Met QC Criteria

August 16, 2026

First Posted (Actual)

August 20, 2026

Study Record Updates

Last Update Posted (Actual)

August 20, 2026

Last Update Submitted That Met QC Criteria

August 16, 2026

Last Verified

August 1, 2026

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 202607141RIND

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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