Effects of Concept Mapping and AI Dialogue on Flow and Learning Outcomes in Simulation-Based Learning
2026年8月2日 更新者：Yang,Bao-Huan、Chang Gung University of Science and Technology
Exploring the Impact of Flipped Classroom Combined With Concept Mapping and AI Dialogue on Students' Flow Experience and Learning Outcomes in Simulation Scenarios: From Personal Traits to Learning Practices
This mixed-methods educational study evaluates the integration of concept mapping and artificial intelligence (AI)-supported dialogue into simulation-based learning for nursing students. The learning activities include structured pre-class preparation, concept mapping, AI-supported dialogue using ChatGPT, and participation in simulated clinical scenarios. The study examines students' flow experience, defined as a state of focused engagement, and their learning outcomes.
Quantitative assessments are used to examine critical thinking, self-efficacy, communication skills, and other learning outcomes specified in the study protocol. Interviews and observations are used to explore students' learning processes and experiences. The study also examines whether individual characteristics, including openness and self-efficacy, are associated with learning practices, flow experience, and learning outcomes.
調査の概要
状態
積極的、募集していない
詳細な説明
Baseline Big Five personality traits will be assessed using the Chinese 15-item Big Five Inventory (BFI-15), including extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience.
The five personality traits will be modeled as exogenous predictors of flow experience and learning-related outcomes in the structural equation model.
Flow experience will also be examined as a potential mediator between personality traits and learning-related outcomes.
研究の種類
介入
入学 (実際)
168
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。
研究場所
-
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Guishan
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Taoyuan、Guishan、台湾、333324
- Chang Gung University of Science and Technology
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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:
- Nursing students enrolled in the participating pediatric nursing course and in one of the classes selected for the study.
- Aged 18 years or older.
- Able to read and communicate in Chinese.
- Willing to provide written informed consent and participate in the study activities and assessments.
Exclusion Criteria:
- Previous participation in the pilot testing or development phase of the same instructional program.
- Students who are on leave of absence or are not expected to attend the scheduled learning activities during the study period.
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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実験的：ChatGPT-Assisted Preparation Group
Classes randomized to this arm will complete preclass preparation for pediatric nursing simulation.
Students will watch instructional videos, prepare concept maps, engage in structured dialogue with ChatGPT, and upload their work before class.
The preclass activities are intended to improve learning readiness and support efficient participation in the in-class course.
During class, students will participate in the same high-fidelity scenario-based simulation, virtual reality learning, and instructor-guided discussion as the comparator group.
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Students watch instructional videos, prepare concept maps, and engage in structured dialogue with ChatGPT before class.
They then participate in high-fidelity pediatric nursing simulation, virtual reality learning, and instructor-guided discussion.
The preparation activities are intended to improve learning readiness and support efficient participation in class.
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アクティブコンパレータ：Standard Preparation Group
Classes randomized to this arm will complete standard preclass preparation for pediatric nursing simulation.
Students will watch the same instructional videos, prepare concept maps, and upload their work before class, but will not engage in structured dialogue with ChatGPT.
The preclass activities are intended to improve learning readiness and support efficient participation in the in-class course.
During class, students will participate in the same high-fidelity scenario-based simulation, virtual reality learning, and instructor-guided discussion as the experimental group.
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Students watch the same instructional videos and prepare concept maps before class but do not engage in structured dialogue with ChatGPT.
They then participate in the same high-fidelity pediatric nursing simulation, virtual reality learning, and instructor-guided discussion as the experimental group.
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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 |
|---|---|---|
|
Change From Baseline in Pediatric Nursing Knowledge Test Score
時間枠：From baseline before the intervention to immediately after completion of all three simulation scenarios
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Pediatric nursing knowledge will be assessed using a test covering fever management for an infant with febrile seizures, chest physiotherapy for a child with pneumonia, and nursing care for a child with epilepsy.
Scores range from 0 to 100, with higher scores indicating greater pediatric nursing knowledge.
The change score will be calculated as the post-intervention score minus the baseline score.
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From baseline before the intervention to immediately after completion of all three simulation scenarios
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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 |
|---|---|---|
|
Change From Baseline in Critical Thinking Disposition Score
時間枠：From baseline before the intervention to immediately after completion of all three simulation scenarios
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Critical thinking disposition will be assessed using a 6-item questionnaire adapted by Lin et al. from Chai et al.
Each item is rated from 1 to 5. Total scores range from 6 to 30, with higher scores indicating a greater tendency to evaluate information, consider different perspectives, and use logical and analytical thinking.
The change score will be calculated as the post-intervention score minus the baseline score.
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From baseline before the intervention to immediately after completion of all three simulation scenarios
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Change From Baseline in Self-reported Communication Competence Score
時間枠：From baseline before the intervention to immediately after completion of all three simulation scenarios
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Self-reported communication competence will be assessed using the 8-item Communication Competence Scale developed by Li (2013) for nursing students.
The scale assesses communication with patients and family members, including initiating communication, establishing therapeutic relationships, using verbal and nonverbal communication, identifying key information, active listening, recognizing emotions, providing health guidance, and organizing communication content.
Each item is rated from 1 to 5. Total scores range from 8 to 40, with higher scores indicating greater self-reported communication competence.
The change score will be calculated as the post-intervention score minus the baseline score.
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From baseline before the intervention to immediately after completion of all three simulation scenarios
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Change From Baseline in Learning Self-Efficacy Score
時間枠：From baseline before the intervention to immediately after completion of all three simulation scenarios
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Learning self-efficacy will be assessed using the 8-item self-efficacy subscale of the Motivated Strategies for Learning Questionnaire.
Each item is rated from 1 to 5. Total scores range from 8 to 40, with higher scores indicating greater confidence in successfully completing the learning tasks.
The change score will be calculated as the post-intervention score minus the baseline score.
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From baseline before the intervention to immediately after completion of all three simulation scenarios
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Change From Baseline in Flow Experience Score
時間枠：From the baseline learning activity before the intervention to immediately after completion of all three simulation scenarios
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Flow experience will be assessed using an 8-item questionnaire based on the Flow Experience Scale developed by Pearce et al.
The questionnaire assesses perceived control, involvement, enjoyment, immersion, interest, altered perception of time, curiosity, and understanding of the learning activity.
Each item is rated from 1 to 5. Total scores range from 8 to 40, with higher scores indicating a greater level of flow experience.
The change score will be calculated as the post-intervention score minus the baseline score.
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From the baseline learning activity before the intervention to immediately after completion of all three simulation scenarios
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Post-intervention Perceived Learning Objective Achievement Score
時間枠：Immediately after each corresponding simulation scenario
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Perceived achievement of the learning objectives will be assessed using a researcher-developed 15-item questionnaire covering fever management (4 items), chest physiotherapy (6 items), and epilepsy care (5 items).
Each item is rated from 1 to 5. Total scores range from 15 to 75, with higher scores indicating greater perceived achievement of the learning objectives.
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Immediately after each corresponding simulation scenario
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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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Students in the experimental group will be invited to participate in semi-structured interviews to explore their experiences with the ChatGPT-assisted learning approach.
時間枠：Within 4 weeks after finalization of the course grades
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Students' experiences with the learning approach will be explored through semi-structured interviews.
The interviews will examine perceived differences from previous learning methods, advantages, learning gains, areas requiring improvement, willingness to use the approach again, and willingness to recommend the approach to students and instructors.
Interview recordings will be transcribed and analyzed using thematic analysis.
Findings will be reported as themes and subthemes describing students' learning experiences.
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Within 4 weeks after finalization of the course grades
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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。
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 (実際)
2025年9月23日
一次修了 (推定)
2026年9月30日
研究の完了 (推定)
2026年9月30日
試験登録日
最初に提出
2026年8月2日
QC基準を満たした最初の提出物
2026年8月2日
最初の投稿 (実際)
2026年8月6日
学習記録の更新
投稿された最後の更新 (実際)
2026年8月6日
QC基準を満たした最後の更新が送信されました
2026年8月2日
最終確認日
2026年8月1日
詳しくは
本研究に関する用語
その他の研究ID番号
- 202402091B0 (その他の識別子：Chang Gung Medical Foundation Institutional Review Board)
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
いいえ
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
いいえ
米国FDA規制機器製品の研究
いいえ
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。