ChatGPT-Assisted Hypertension Knowledge in Nursing Students
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
AgeNot listed
SponsorAnkara University
About this trial
ChatGPT provides quick access to information, research support, and study materials, but concerns remain regarding its reliability, accuracy, and inability to offer personalized care principles essential in nursing. Although previous studies show its high accuracy in clinical responses, over-reliance on AI-generated medical information necessitates cautious use. The study will explore both the benefits and limitations of ChatGPT in nursing education, particularly in hypertension learning.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
To be enrolled in the nursing program at a private university, during the 2024-2025 academic year.
To have taken the Internal Medicine Nursing course (In this course, students receive 4 hours of theoretical lessons on nursing care for hypertension patients).
To be willing to volunteer for participation in the study.
Disqualifiers
Students who wish to withdraw from the research at any stage will not be included in the study.
Trial design
Design model
Parallel
Treatments tested in this trial
ChatGPT
Other interventionStudents in the intervention group will answer the questions from the Hypertension Prevention Attitude Scale using ChatGPT.
Treatment groups
96 Participants
are divided into 2 treatment groupsGroup A: ChatGPT GroupExperimental treatment 1 intervention
Group B: Control GroupNo intervention 0 interventions
Trial outcomes
Primary outcomes
1
Hypertension Prevention Attitudes Scale
The scale consists of 26 items and subdimensions, including protection and control, habits and lifestyle, nutrition attitudes, mental state and physical activity, and disease and risk knowledge. The items are rated on a five-point Likert scale, ranging from "Strongly Disagree" to "Strongly Agree." The scale scores can range from 26 to 130. There is a positive relationship between the scale scores and attitudes toward hypertension prevention. The Cronbach's alpha value of the scale is 0.91.
Time frame
At the beginning of the study first admission.2
Artificial Intelligence Anxiety Scale
The Artificial Intelligence Anxiety Scale (AIAS) was developed by Wang and Wang (2019) and adapted into Turkish by Akkaya et al. (2021). The scale is a 5-point Likert type, consisting of 21 items and 4 factors. These factors are: Learning, Job Change, Socio-technical Blindness, and Artificial Intelligence Structuring. The minimum score that can be obtained from the scale is 21, and the maximum score is 105. A higher score indicates a higher level of AI anxiety. The Cronbach's alpha coefficient of the scale is reported to be 0.95.
Time frame
Immediately after the intervention (answering the scale questions)3
Cognitive Load Scale
The scale developed by Paas and Van Merriënboer (1993) aims to measure the cognitive load of students during individual study processes. It was adapted into Turkish by Kılıç and Karadeniz (2004). The scale is a symmetric, Likert-type scale with scores ranging from 1 to 9. It allows the assessment of the effort a student exerts during their individual learning process. According to the scale, cognitive load increases from 1 to 9. Scores between 1-4 are considered low cognitive load, while scores between 5-9 are considered high cognitive load. Paas and Van Merriënboer (1993) reported an internal consistency coefficient of 0.82 for the scale, while Kılıç and Karadeniz (2004) calculated an internal consistency coefficient of 0.90 for the Turkish version.
Time frame
Immediately after the intervention (answering the scale questions)Locations
Sponsors and contacts
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Source ClinicalTrials.gov
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