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AI-Supported Case Analysis Among Nursing Students

NCT07614503 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 40

Last updated 2026-05-29

No results posted yet for this study

Summary

The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research. Students will be randomly assigned to either the intervention (artificial intelligence) or control (case analysis) group.

Conditions

  • Nursing Students
  • Artificial Intelligence (AI)

Interventions

OTHER

Case Analysis

The case analysis will be made through the presentation prepared by the students in the group.

OTHER

AI-supported case

In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence

Sponsors & Collaborators

  • TC Erciyes University

    lead OTHER

Principal Investigators

  • AYSER DÖNER, Assistant Professor · TC Erciyes University

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-25
Primary Completion
2026-06-15
Completion
2026-06-30

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07614503 on ClinicalTrials.gov