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Artificial Intelligence Supported Case Analysis on Nursing Education

Not Applicable
Completed
Conditions
Nursing Students
Nursing Education
Artificial Intelligence
Interventions
Other: AI-supported case
Registration Number
NCT06443983
Lead Sponsor
TC Erciyes University
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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
188
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

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
AI-supported case lesson groupAI-supported caseStudents in this group will take an artificial intelligence-supported in-class case analysis lesson.
Primary Outcome Measures
NameTimeMethod
Case management performance3 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 Satisfaction3 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.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Erciyes University

🇹🇷

Kayseri, Turkey

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