AI-Supported Case Analysis Among Nursing Students
The Effect of AI-Supported Case Analysis on Nursing Students' Learning Experience, Learning Outcomes, Clinical Self-Efficacy, and Cognitive Load
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: AYSER DÖNER
- Phone Number: 05052349338
- Email: ayserdoner@erciyes.edu.tr
Study Contact Backup
- Name: AYSER DÖNER, Assistant Professor
- Phone Number: +905052349338
- Email: ayserdoner@erciyes.edu.tr
Study Locations
-
-
Türkiye
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Kayseri, Türkiye, Turkey (Türkiye), 38039
- Erciyes University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
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
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Artificial Intelligence Group
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
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In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence
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Active Comparator: Case Analysis Group
The case analysis will be made through the presentation prepared by the students in the group.
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The case analysis will be made through the presentation prepared by the students in the group.
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What is the study measuring?
Primary Outcome Measures
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.
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3 hours
|
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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.
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3 hours
|
Secondary Outcome Measures
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
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: AYSER DÖNER, Assistant Professor, TC Erciyes University
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- NEVÜsbf
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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