AI-Supported Case Analysis Among Nursing Students

May 22, 2026 updated by: Ayser DÖNER, TC Erciyes University

The Effect of AI-Supported Case Analysis on Nursing Students' Learning Experience, Learning Outcomes, Clinical Self-Efficacy, and Cognitive Load

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.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

The increasing complexity of healthcare services necessitates the adoption of innovative and technology-based approaches in nursing education.This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research, with the aim of determining 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 include fourth-year nursing students (100 students) enrolled in the Integrated Health Practices III course in the Department of Nursing. Students will be divided into two groups: an intervention group (AI) and a control group. In the study, data will be collected by the researchers using the Student Profile Form, Achievement Test, Learning Experience, Perceived Learning Outcomes and Clinical Self-Efficacy, Scale of Different Types of Cognitive Load, and Semi-Structured Interview Form.

Study Type

Interventional

Enrollment (Estimated)

40

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • Turkey (Türkiye)
    • Türkiye
      • Kayseri, Türkiye, Turkey (Türkiye), 38039
        • Erciyes University
        • Contact:
          • Phone Number: 05052349338

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • 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.

Exclusion Criteria:

  • 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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Artificial Intelligence Group
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
Other: AI-supported case
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence
Active Comparator: Case Analysis Group
The case analysis will be made through the presentation prepared by the students in the group.
Other: Case Analysis
The case analysis will be made through the presentation prepared by the students in the group.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Achievement Test
Time Frame: 3 hours
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
Time Frame: 3 hours
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
Scale of Different Types of Cognitive Load
Time Frame: 3 hours
Scale of Different Types of Cognitive Load: To assess the mental effort and burden experienced by students during the case analysis process, the scale developed by Leppink et al. (2013) will be used. The scale consists of three sub-dimensions. It comprises a total of 10 items and a 10-point rating scale from 1 (very low) to 10 (very high). Higher scores represent higher levels of cognitive load. The Turkish validity and reliability study of the scale was conducted by Türel and Alpsülün (2025).
3 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

TC Erciyes University

Investigators

  • Principal Investigator: AYSER DÖNER, Assistant Professor, TC Erciyes University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

May 25, 2026

Primary Completion (Estimated)

June 15, 2026

Study Completion (Estimated)

June 30, 2026

Study Registration Dates

First Submitted

May 4, 2026

First Submitted That Met QC Criteria

May 22, 2026

First Posted (Actual)

May 29, 2026

Study Record Updates

Last Update Posted (Actual)

May 29, 2026

Last Update Submitted That Met QC Criteria

May 22, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • NEVÜsbf

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Only a short protocol can be shared with other researchers.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Nursing Students

Clinical Trials on Case Analysis

Search Similar Trials

Sponsors and Collaborators

Medical Conditions

Drug Interventions

CROs by country

CROs in Congo, DR of

Conditions

Rare Diseases

Drug Interventions

Dietary Supplements

Sponsor/Collaborators

Locations

Subscribe