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In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.This study was conducted in a single-blind randomised controlled trial design. Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.
Background: In recent years, the integration of artificial intelligence technology into nursing education has been increasing.
Objective: In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.
Design: This study was conducted in a single-blind randomised controlled trial design.
Method: The study was planned to include 107 students actively enrolled in the 4th grade Integrated Health Practices III course in the spring semester of the 2024-2025 academic year in the nursing department.Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.Information form, Mentimeter application to determine the ability to determine nursing diagnoses and case management performance evaluation, and Quizizz application for knowledge test were used for data collection.In addition, a semi-structured interview form was used.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Traditional teaching group | No Intervention | The students in this group will be analysed by the responsible lecturer of the course. | |
| Case Analysis Group | Active Comparator | Students in this group will present the case of their choice from the clinic. |
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| Artificial Intelligence Group | Experimental | Students in this group will take artificial intelligence supported case analysis course. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-supported case | Other | In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence. |
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| Measure | Description | Time Frame |
|---|---|---|
| Case Management Performance | In this study, nursing students' interest, focus, satisfaction and motivation levels in the evaluation of traditional teaching method, case analysis method and artificial intelligence supported case analysis method courses were evaluated with Visual Analogue Scale (VAS) over 10 points using Mentimeter application. | 3 hours |
| Nursing Diagnosis Determination Skills | With the Mentimeter application, students were asked to identify 5 prioritised nursing diagnoses related to the case. There is no scoring here, but the application creates a word cloud where the most common answer is shown in a larger font. | 3 hours |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| AYSER DÖNER | TC Erciyes University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Erciyes University | Kayseri | Türkiye | 38039 | Turkey (Türkiye) |
Only a short protocol can be shared with other researchers.
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In this study, nursing students were divided into three groups as traditional teaching group, case analysis group and artificial intelligence group.
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| Case Analysis | Other | The case analysis will be made through the presentation prepared by the students in the group. |
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