The Effect of AI-Supported Case Analysis on Nursing Students

NCT07728929 | Completed

• 1 other identifier: NEVÜsağlıkbilimlerifakültesi
• Study Type: interventional
• Target: 42
• Locations: 1 country
• Sites: 1

Brief Summary

This study aims to determine the effects of AI-supported oncology case analysis on nursing students' knowledge, learning satisfaction, and clinical decision-making skills.

Conditions

Nursing Students; Artificial Intelligence (AI)

Keywords

nursing student; airtificial intelligence; nursing education

Outcome Measures

Primary Outcomes (1)

• Knowledge level

  Knowledge level: Knowledge level will be assessed using a researcher-developed 10-item multiple-choice knowledge test.

  Baseline and immediately after completion of the intervention (same day)

Secondary Outcomes (2)

• Learning satisfaction

  Learning satisfaction: Immediately after completion of the intervention (same day)

• Clinical decision-making

  Immediately after completion of the intervention (same day)

Study Arms (2)

Traditional teaching group

ACTIVE COMPARATOR

Traditional teaching group

Other: Traditional teaching group

Artificial Intelligence Group

EXPERIMENTAL

Artificial Intelligence Group: Students in this group will take artificial intelligence supported case analysis course.

Other: AI-supported case

Interventions

AI-supported case OTHER

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

Artificial Intelligence Group

Traditional teaching group OTHER

The case analysis for this group will be conducted by the course instructor.

Traditional teaching group

Eligibility Criteria

• Age: 18 Years - 35 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Second-year nursing students actively enrolled during the spring semester of the 2025-2026 academic year.
• Having previously completed the theoretical Nursing Process course. Owning a smartphone with internet access. Having previously prepared at least one individualized nursing care plan for a patient hospitalized in an internal medicine clinical setting.

You may not qualify if:

• Students who had not previously provided planned nursing care for hospitalized patients in internal medicine clinical settings during their clinical placements.
• Students who did not agree to participate in the study.

Sponsors & Collaborators

• TC Erciyes University: lead

Study Sites (1)

Nevsehir Haci Bektas Veli University

Merkez, Nevşehir Province, Turkey (Türkiye)

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Model Details: In this study, nursing students were randomly assigned to either the traditional teaching group or the AI-supported group.

Study Record Dates

• First Submitted: July 22, 2026
• First Posted: July 27, 2026
• Study Start: May 18, 2026
• Primary Completion: May 19, 2026
• Study Completion: May 19, 2026
• Last Updated: July 27, 2026

Record last verified: 2026-07

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)