Artificial Intelligence Supported Case Analysis on Nursing Education

Artificial Intelligence Clinical Trial

Official title:

The Effect of Artificial Intelligence Supported Case Analysis on Nursing Students' Case Management Performance and Satisfaction: A Randomized Controlled Trial

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT06443983
• Other study ID #: ErciyesUniversity
• Status: Completed
• Phase: N/A
• Start date: February 27, 2024
• Est. completion date: March 27, 2024

Study information

• Verified date: May 2024
• Source: TC Erciyes University
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 188
• Est. completion date: March 27, 2024
• Est. primary completion date: March 27, 2024
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 20 Years to 25 Years

Eligibility

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

Related Conditions & MeSH terms

• Artificial Intelligence
• Nursing Students

Intervention

Other:
• AI-supported case
In the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence.

Locations

Country	Name	City	State
Turkey	Erciyes University	Kayseri

Sponsors (1)

Lead Sponsor	Collaborator
TC Erciyes University

Country where clinical trial is conducted

Turkey, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Case management performance	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.	3 hours
Primary	Case Satisfaction	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.	3 hours