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Artificial Intelligence Supported Case Analysis and Nursing Students

NCT07087288 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 93

Last updated 2025-07-25

No results posted yet for this study

Summary

In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.This study was conducted in a single-blind randomised controlled trial design. Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.

Conditions

  • Nursing Students
  • Artificial Intelligence (AI)

Interventions

OTHER

AI-supported case

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

OTHER

Case Analysis

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

Sponsors & Collaborators

  • TC Erciyes University

    lead OTHER

Principal Investigators

  • AYSER DÖNER · TC Erciyes University

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
35 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-04-01
Primary Completion
2025-06-30
Completion
2025-06-30

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 NCT07087288 on ClinicalTrials.gov