Artificial Intelligence (AI), Nursing Students
Conditions
Keywords
nursing student, airtificial intelligence, nursing education
Brief summary
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.
Detailed description
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.
Interventions
OTHERAI-supported case
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
OTHERCase Analysis
The case analysis will be made through the presentation prepared by the students in the group.
Sponsors
TC Erciyes University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Intervention model description
In this study, nursing students were divided into three groups as traditional teaching group, case analysis group and artificial intelligence group.
Eligibility
Sex/Gender
ALL
Age
18 Years to 35 Years
Healthy volunteers
Yes
Inclusion criteria
* Active fourth year nursing students in the spring term of the 2024-2025 academic year in which the study was conducted, * Having taken the nursing process theoretical course before, * Having a mobile phone with an internet connection, * Students who have previously prepared a care plan specific to their inpatients in at least one internal medicine clinic
Exclusion criteria
* Students who do not take the Integrated Health Practices III course, * Have not planned care for inpatients in internal medicine clinics in previous clinical practice, * Students who did not agree to participate in the study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Case Management Performance | Immediately after the case analysis session | 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. |
| Nursing Diagnosis Determination Skills | Immediately after the case analysis session | 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. |
Countries
Turkey (Türkiye)
Contacts
PRINCIPAL_INVESTIGATORAYSER DÖNER
TC Erciyes University
Outcome results
None listed