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CompletedNCT07614503Updated Jul 23, 2026

AI-Supported Case Analysis Among Nursing Students

An interventional study of Case Analysis and AI-supported case in Nursing Students and Artificial Intelligence (AI), sponsored by TC Erciyes University. Completed at 1 site in Turkey (Türkiye). Per ClinicalTrials.gov, last updated 2026-07-23.

Sponsored by TC Erciyes University · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
42
Allocation
Randomized
Sex
All
01

Study 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.

Read the 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.

02

Conditions studied

  • Nursing Students
  • Artificial Intelligence (AI)

Keywords

  • nursing student
  • airtificial intelligence
  • nursing education
03

In context

Lead sponsor

TC Erciyes University is the lead sponsor of 341 studies on the registry; 76 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes

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

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.
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
42 participants (actual)

Study arms

  • 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

  • Active comparator
    Case Analysis Group

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

    Other: Case Analysis

Interventions

  • OtherCase Analysis

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

  • OtherAI-supported case

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

06

What researchers measure

Primary outcomes

  1. 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.

    Time frame: 3 hours

  2. 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.

    Time frame: 3 hours

Secondary outcomes

  1. Scale of Different Types of Cognitive Load

    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).

    Time frame: 3 hours

07

Study locations

1 site
  • Erciyes University
    Kayseri, Türkiye 38039, Turkey (Türkiye)
08

References and documents

Individual participant data

Plan to share: No — Only a short protocol can be shared with other researchers.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 23, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07614503
Lead sponsor
TC Erciyes University
Responsible party
Ayser DÖNER (Assistant Professor, TC Erciyes University) — Principal investigator
First posted
May 29, 2026
Start date
May 25, 2026
Primary completion
Jun 15, 2026
Completion
Jun 30, 2026
Last update
Jul 23, 2026

Study contacts

AYSER DÖNER, Assistant Professor
principal investigator · TC Erciyes University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.

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