Artificial Intelligence Supported Case Analysis on Nursing Education
NCT ID: NCT06443983
Last Updated: 2024-06-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
188 participants
INTERVENTIONAL
2024-02-27
2024-03-27
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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AI-supported case lesson group
Students in this group will take an artificial intelligence-supported in-class case analysis lesson.
AI-supported case
In the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence.
Standard case lesson group
Students in this group will receive a standard in-class case lesson narrated by the instructor.
No interventions assigned to this group
Interventions
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AI-supported case
In the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence.
Eligibility Criteria
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Inclusion Criteria
* having planned care for at least one surgical patient in clinical practice before
* having a mobile phone with internet connection
Exclusion Criteria
* not being an active student
* incomplete completion of the data collection forms
* not accepting to participate in the study
20 Years
25 Years
ALL
Yes
Sponsors
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TC Erciyes University
OTHER
Responsible Party
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Seda Akutay
Research Assistant
Principal Investigators
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Seda Akutay, Ress. Asst.
Role: PRINCIPAL_INVESTIGATOR
TC Erciyes University
Locations
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Erciyes University
Kayseri, , Turkey (Türkiye)
Countries
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References
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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.
Other Identifiers
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ErciyesUniversity
Identifier Type: -
Identifier Source: org_study_id
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