Use of Artificial Intelligence in Nursing Education

NCT ID: NCT07090408

Last Updated: 2025-07-29

Study Results

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

59 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-02-01

Study Completion Date

2025-06-30

Brief Summary

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In this study, the effect of using ChatGPT, one of the artificial intelligence tools, on nursing students' case analysis and readiness for medical artificial intelligence will be evaluated.

Detailed Description

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In studies on artificial intelligence in the field of nursing; it is observed that nurses reduce their workload by remotely monitoring psychiatric patients with an artificial intelligence-based sensor, there is a significant decrease in emergency room visits with an artificial intelligence-supported camera monitoring system to prevent dementia patients from falling, and the risk of pressure sores in patients in the intervention group is reduced by developing a network measurement system to predict pressure sores. Such widespread use of artificial intelligence in the nursing profession contributes to faster analysis and active management of the care process by nurses in diagnosing possible risk factors and solving any problems encountered. Thus, nurses' workload will decrease and a more efficient nursing care process will emerge. The attitude towards artificial intelligence in nursing students preparing for the profession is actually positive even in the first years of education. These results show that new generation nurses adopt artificial intelligence and its usability in the profession in the future. In fact, more academic and practical studies are needed on artificial intelligence, which has entered all professional lives in a new and rapid way. The increase in such studies, especially among students preparing for the nursing profession, will reflect both the knowledge gap in students and the necessity of proven studies in the field. The attitudes of nursing students towards new technologies and their acceptance of these innovations are especially important because they play a key role in health care. Therefore, it is necessary to learn how nursing students understand and adopt new technologies such as artificial intelligence-based technologies. When looking at the literature, it is possible to come across different studies on artificial intelligence in nursing students. However, in this study, the effect of using ChatGPT, one of the artificial intelligence tools, on case analysis and medical artificial intelligence readiness in nursing students will be evaluated.

Conditions

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Artificial Intelligence

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

FACTORIAL

Primary Study Purpose

OTHER

Blinding Strategy

SINGLE

Participants

Study Groups

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Control arm

The control arm - control group (30 students); students were asked to analyze the case with the traditional method.

Group Type NO_INTERVENTION

No interventions assigned to this group

Intervention arm

Artificial intelligence support

Group Type EXPERIMENTAL

Artificial intelligence support

Intervention Type BEHAVIORAL

Each student in the intervention group will be asked to solve a given case example using ChatGPT support. However, students in the control group will be asked to analyze the case using their own academic knowledge without ChatGPT support.

Interventions

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Artificial intelligence support

Each student in the intervention group will be asked to solve a given case example using ChatGPT support. However, students in the control group will be asked to analyze the case using their own academic knowledge without ChatGPT support.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Students who agree to participate in the study
* 2nd year students who are actively studying in the Nursing Department of the Faculty of Health Sciences of a university
* Students who use smartphones

Exclusion Criteria

* Not accepting to participate in the research,
* Not using a smartphone
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Recep Tayyip Erdogan University

OTHER

Sponsor Role lead

Responsible Party

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Yağmur AKBAL DEMİRCİ

PhD, Faculty of Health Sciences, Nursing department

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Recep Tayyip Erdogan University Faculty of Health Sciences

Rize, Centre, Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

Other Identifiers

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RTEU-SBF-YAD-02

Identifier Type: -

Identifier Source: org_study_id

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