Artificial Intelligence, Nursing Education, Nursing Students
Conditions
Brief summary
Background: Rapid developments in the field of artificial intelligence have begun to necessitate changes and transformations in nursing education. Objective: This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction. Design: This study was a randomized controlled trial. Method: The study involved 188 third-year nursing students who were randomly assigned to either the AI group (n=94) and control group (n=94). An information form, case evaluation form, knowledge test, and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.
Interventions
OTHERAI-supported case
In the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence.
Sponsors
TC Erciyes University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Intervention model description
In this study, students will be divided into two groups: those who take an AI-supported case lesson and those who take a standard case lesson.
Eligibility
Sex/Gender
ALL
Age
20 Years to 25 Years
Healthy volunteers
Yes
Inclusion criteria
* having taken nursing process lecture before * having planned care for at least one surgical patient in clinical practice before * having a mobile phone with internet connection
Exclusion criteria
* not attending the case analysis lecture * not being an active student * incomplete completion of the data collection forms * not accepting to participate in the study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Case management performance | 3 hours | The performances of all students included in this study regarding the case lesson were evaluated by means of a knowledge test consisting of 10 questions and a Mentimeter application in which they could indicate their nursing diagnoses. The students will solve the tests after the case lessons are completed. The scores that can be obtained from the tests are between 0-100. As the score of the students increases, it can be interpreted that the level of knowledge increases. In the Mentimeter application, students will be asked to write 5 nursing diagnoses. There is no scoring here, but the application creates a word cloud with the most given answer in a larger font size. |
| Case Satisfaction | 3 hours | The level of satisfaction with the case analysis lecture was evaluated using the VAS scale. The VAS scale is scored between 1-10. Students indicate their satisfaction with the processing of the case lesson. High scores on the VAS indicate a high level of satisfaction. |
Countries
Turkey (Türkiye)
Outcome results
None listed