Artificial Intelligence Supported Case Analysis on Nursing Education

NCT06443983 | Completed

• 1 other identifier: ErciyesUniversity
• Study Type: interventional
• Target: 188
• Locations: 1 country
• Sites: 1

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.

Conditions

Artificial Intelligence; Nursing Education; Nursing Students

Outcome Measures

Primary Outcomes (2)

• 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

• 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

Study Arms (2)

AI-supported case lesson group

EXPERIMENTAL

Students in this group will take an artificial intelligence-supported in-class case analysis lesson.

Other: AI-supported case

Standard case lesson group

NO INTERVENTION

Students in this group will receive a standard in-class case lesson narrated by the instructor.

Interventions

AI-supported case OTHER

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

AI-supported case lesson group

Eligibility Criteria

• Age: 20 Years - 25 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• 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

You may not qualify if:

• 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

Sponsors & Collaborators

• TC Erciyes University: lead

Study Sites (1)

Erciyes University

Kayseri, Turkey (Türkiye)

Location

Related Publications (1)

• Akutay S, Yuceler Kacmaz H, Kahraman H. The effect of artificial intelligence supported case analysis on nursing students' case management performance and satisfaction: A randomized controlled trial. Nurse Educ Pract. 2024 Oct;80:104142. doi: 10.1016/j.nepr.2024.104142. Epub 2024 Sep 12.

  PMID: 39299058 DERIVED

Study Officials

• Seda Akutay, Ress. Asst.

  TC Erciyes University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Research Assistant

Model Details: 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.

Study Record Dates

• First Submitted: May 27, 2024
• First Posted: June 5, 2024
• Study Start: February 27, 2024
• Primary Completion: March 27, 2024
• Study Completion: March 27, 2024
• Last Updated: June 5, 2024

Record last verified: 2024-05

Locations

TU (1)