Artificial Intelligence (AI), Nursing Students
Conditions
Keywords
nursing student, airtificial intelligence, nursing education
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.
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.
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
Sponsors
TC Erciyes University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Subject)
Intervention model description
Students will be divided into two groups: an intervention group (artificial intelligence) and a control group (case analysis).
Eligibility
Sex/Gender
ALL
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
* 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Achievement Test | 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. |
| Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy | 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
| Measure | Time frame | Description |
|---|---|---|
| Scale of Different Types of Cognitive Load | 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). |
Countries
Turkey (Türkiye)
Contacts
PRINCIPAL_INVESTIGATORAYSER DÖNER, Assistant Professor
TC Erciyes University
Outcome results
None listed