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Effect of AI-Supported Case Analysis on Nursing Students

NCT07611383 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 42

Last updated 2026-05-28

No results posted yet for this study

Summary

The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).

Conditions

  • Nursing Students
  • Artificial Intelligence (AI)
  • Clinical Decision-Making in Nursing

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

Control Group

For students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers.

Sponsors & Collaborators

  • Nevsehir Haci Bektas Veli University

    lead OTHER

Principal Investigators

  • AYSER DÖNER, Assistant Professor · Nevsehir Haci Bektas Veli 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
2026-05-25
Completion
2026-05-30

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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 NCT07611383 on ClinicalTrials.gov