The Effect of Artificial Intelligence Supported Case Analysis Method on Nursing Students' Knowledge, Case Management Performance and Nursing Diagnosis Determination Skills
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- TC Erciyes University
- Enrollment
- 93
- Locations
- 1
- Primary Endpoint
- Case Management Performance
Study Overview
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.
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Other
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to 35 Years (Adult)
- Sex
- All
- Accepts 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
Arms & Interventions
Traditional teaching group
The students in this group will be analysed by the responsible lecturer of the course.
Case Analysis Group
Students in this group will present the case of their choice from the clinic.
Intervention: Case Analysis (Other)
Artificial Intelligence Group
Students in this group will take artificial intelligence supported case analysis course.
Intervention: AI-supported case (Other)
Outcomes
Primary Outcomes
Case Management Performance
Time Frame: 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
Time Frame: 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.
Secondary Outcomes
No secondary outcomes reported
Investigators
Ayser DÖNER
Research Assistant
TC Erciyes University