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Completed

NCT Number: NCT07614503

AI-Supported Case Analysis Among Nursing Students

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.

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Key information

Conditions

Nursing Students Artificial Intelligence (AI)

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Erciyes University

Kayseri, Türkiye, 38039, Turkey (Türkiye)

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Case Analysis

Other

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

AI-supported case

Other

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

Primary outcomes

  1. 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.

  2. 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.

Secondary outcomes

  1. 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).

Sponsors and collaborators

Lead sponsor

TC Erciyes University

Other

Registry information

Official study title

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

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
May 29, 2026
Registry last updated
Jul 23, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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