AI-Based Clinical Orientation for Nursing Students (ClinicOrient)
2026年5月3日 更新者：Fatma Taş Arslan、Selcuk University
The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice
Aim: This experimental study aims to investigate the impact of an Artificial Intelligence (AI)-based orientation program on the clinical orientation process of nursing students during their pediatric nursing clinical practice.Materials and Methods: The study population will consist of 186 third-year nursing students enrolled in the spring semester at a state university.
The sample will include 90 students (45 intervention, 45 control) who meet the study criteria and volunteer to participate.
Students in the intervention group will receive an AI-based clinical orientation program, while the control group will receive no additional intervention beyond the standard faculty and hospital orientation.
Data will be collected between February and March 2026 using a "Descriptive Information Form," the "Clinical Adaptation Scale for Student Nurses," and the "Therapeutic Communication Skills Scale for Nursing Students" in a pre-test/post-test design.Statistical Analysis: Data will be analyzed using SPSS 25.0.
Descriptive statistics (frequency, percentage, mean, and standard deviation) will be used.
Normality will be assessed via Kolmogorov-Smirnov/Shapiro-Wilk tests.
For group comparisons, Chi-square, ANOVA, independent samples t-test, Mann-Whitney U, and Wilcoxon tests will be utilized.
The statistical significance level will be set at $p < 0.05$.Ethical Considerations: Ethical committee approval and necessary permissions from scale authors will be obtained before the study begins.
Informed consent will be collected from all participants after explaining the study objectives.Keywords: Orientation training, nursing, student, artificial intelligence, clinical practice.
調査の概要
研究の種類
介入
入学 (推定)
90
段階
- 適用できない
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究連絡先
- 名前：Fatma Tas Arslan, Prof. Dr.
- 電話番号：+905058013067
- メール：fatmatas61@hotmail.com
研究場所
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Konya
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Konya、Konya、トルコ（Türkiye）、42250
- Selcuk University
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Selçuklu
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Konya、Selçuklu、トルコ（Türkiye）、42060
- Selcuk University
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参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
はい
説明
Inclusion Criteria:
- Being enrolled in the Pediatric Nursing course for the first time.
- Being a third-year nursing student.
- Providing voluntary informed consent to participate in the study.
Exclusion Criteria:
- Being absent during the course of the study.
- Currently being employed as a healthcare professional.
- Having a frozen enrollment status.
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：他の
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：なし（オープンラベル）
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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介入なし：Control Group
Students who do not receive AI-supported orientation training.
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実験的：Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)
Students receiving AI-supported orientation training
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The program was implemented via a researcher-developed website featuring seven modules: Therapeutic Communication, Patient Safety, Medical Equipment, Infection Control, Care Plans, Ethics/Privacy, and Stress Management.
AI was utilized to develop scenarios, create audiovisual materials, and simulate realistic clinical environments.
Each 5-minute video used no real patient data.
A sequential progression was enforced, requiring completion of one module to start the next.
Knowledge was assessed after each module via 5-10 Kahoot questions.
A gamified approach was used where the fastest, most accurate students earned digital badges, with the top three overall being recognized as winners.
Content validity was ensured through expert opinions from pediatric nursing faculty, and necessary adjustments were made based on their feedback.
他の名前：
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Introductory Information Form
時間枠：Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
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The form was developed by the researchers in line with the relevant literature.
The form consists of 3 sections and 8 questions: descriptive characteristics (age, gender, grade point average), information related to clinical adaptation (difficulty in adapting when first starting the clinical environment, difficulty in communicating with patients/families during clinical practice, and experiencing anxiety-stress before clinical practice), and information related to artificial intelligence (use of artificial intelligence programs and willingness to learn and use technological developments such as artificial intelligence).
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Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Clinical Adaptation Scale for Student Nurses
時間枠：Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
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The scale was to comprehensively evaluate the clinical adaptation of student nurses in clinical practice.
It was adapted into Turkish.
The scale has three subdimensions: Professional Development and Interpersonal Interaction, Clinical Competence and Confidence, and Coping and Support Strategies.
It consists of 15 items in a 5-point Likert-type format.
The total score ranges from 15 to 75.
A higher score indicates better clinical adaptation.
The scale does not have a defined cut-off point or reverse-coded items.
The Cronbach's alpha coefficient of the scale is 0.91.
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Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
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その他の成果指標
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Therapeutic Communication Skills Scale for Nursing Students
時間枠：Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
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The scale was to determine the therapeutic communication skills of nursing students.
It has three subdimensions: Non-therapeutic Communication Skills, Therapeutic Communication Skills 1, and Therapeutic Communication Skills 2. The scale consists of 16 items in a 7-point Likert-type format (1 = Never, 4 = Sometimes, 7 = Always).
There are no reverse-coded items in the scale.
The maximum possible score is 168, and the minimum possible score is 24.
The Cronbach's alpha value of the "Therapeutic Communication Skills Scale for Nursing Students" is 0.775.
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Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
スポンサー
捜査官
- 主任研究者：Fatma Tas Arslan、Selcuk University
出版物と役立つリンク
研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。
便利なリンク
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (推定)
2026年4月30日
一次修了 (推定)
2026年5月11日
研究の完了 (推定)
2026年6月11日
試験登録日
最初に提出
2026年4月16日
QC基準を満たした最初の提出物
2026年4月26日
最初の投稿 (実際)
2026年5月4日
学習記録の更新
投稿された最後の更新 (実際)
2026年5月7日
QC基準を満たした最後の更新が送信されました
2026年5月3日
最終確認日
2026年5月1日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。