AI-Supported Case Analysis Among Nursing Students

NCT07614503 | Not Yet Recruiting

• 1 other identifier: NEVÜsbf
• Study Type: interventional
• Target: 40
• Locations: 1 country
• Sites: 1

Brief 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)

Keywords

nursing student; airtificial intelligence; nursing education

Outcome Measures

Primary Outcomes (2)

• Achievement Test

  Achievement Test: The achievement test, created by the researchers, will consist of questions related to the case study and will be scored out of a total of 100 points to determine the impact of the case analysis on students' knowledge level.

  3 hours

• Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy

  Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy: The Mentimeter application will be used to determine students' interest, motivation, learning participation, perceived learning outcome, and clinical self-efficacy levels. Students' satisfaction and motivation levels regarding the case analysis method will be determined on a 10-point scale ranging from 0-Strongly Disagree to 10-Strongly Agree. At the end of the study, each category will be evaluated based on an average value.

  3 hours

Secondary Outcomes (1)

• Scale of Different Types of Cognitive Load

  3 hours

Study Arms (2)

Artificial Intelligence Group

EXPERIMENTAL

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

Other: AI-supported case

Case Analysis Group

ACTIVE COMPARATOR

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

Other: Case Analysis

Interventions

Case Analysis OTHER

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

Case Analysis Group

AI-supported case OTHER

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

Artificial Intelligence Group

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

• Students who are active fourth-year nursing students during the spring semester of the 2025-2026 academic year,
• Have previously taken the theoretical course on the nursing process,
• Own a cell phone with an internet connection,
• And have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.

You may not qualify if:

• Students who have not taken the course,
• Students who have never participated in case-based learning sessions,
• Students who do not agree to participate in the study will not be included in the research.

Sponsors & Collaborators

• TC Erciyes University: lead

Study Sites (1)

Erciyes University

Kayseri, Türkiye, 38039, Turkey (Türkiye)

Location

Study Officials

• AYSER DÖNER, Assistant Professor

  TC Erciyes University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

AYSER DÖNER, Assistant Professor

CONTACT

+905052349338; ayserdoner@erciyes.edu.tr

AYSER DÖNER

CONTACT

05052349338; ayserdoner@erciyes.edu.tr

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Model Details: Students will be divided into two groups: an intervention group (artificial intelligence) and a control group (case analysis).

Study Record Dates

• First Submitted: May 4, 2026
• First Posted: May 29, 2026
• Study Start: May 25, 2026
• Primary Completion: June 15, 2026
• Study Completion (Estimated): June 30, 2026
• Last Updated: May 29, 2026

Record last verified: 2026-05

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)