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Integrating AI-Assisted Design Thinking Into Nursing Education

2026年8月14日 更新者:Carmen Chan Yip Wing-han、Chinese University of Hong Kong

Integrating Design Thinking Into Undergraduate Nursing Education to Nurture Empathy and Enhance Empathetic Communication: a Wait List RCT

The goal of this randomized controlled trial is to test whether an AI-assisted design thinking workshop can improve empathetic communication in undergraduate nursing students at The Chinese University of Hong Kong. The main questions it aims to answer are:

Does the workshop improve students' empathy, creativity, collaboration, problem-solving, and patient-centred care attitudes?

How do students experience the design thinking and AI-supported learning activities?

Researchers will compare the intervention group with a wait-list control group to see whether the workshop leads to better outcomes.

Participants will:

complete a baseline questionnaire before the workshop;

be randomly assigned to receive the workshop now or later;

attend two tutorials in the intervention group, including design thinking activities and AI-simulated clinical scenarios;

complete a follow-up questionnaire after the workshop;

and, for some participants, join a short interview about their learning experience.

調査の概要

状態

まだ募集していません

詳細な説明

The study uses a mixed-methods, wait-list randomized controlled trial to evaluate an AI-assisted design thinking workshop for undergraduate nursing students. First, an AI chatbot is co-designed in Phase 1 with 8 nursing faculty members and 8-10 students through a 3-hour workshop, followed by 4-6 weeks of chatbot development and validation. The workshop uses design thinking activities including empathy mapping, patient journey mapping, "How Might We" framing, prototyping, and feedback gathering to define learning needs and chatbot functions. The IT team then builds the chatbot using the workshop outputs, including scenario scripts, response frameworks, assessment criteria, and bilingual English/Cantonese requirements. In Phase 2, 80 eligible Year 2 nursing students are randomly assigned to an intervention group or a wait-list control group. All participants complete baseline and post-intervention questionnaires measuring empathy, creativity, collaboration, problem-solving, and patient-centred care attitudes. The intervention group receives two 90-minute tutorials: one on design thinking fundamentals and one on AI-simulated clinical scenarios. During the second tutorial, students rotate through different scenarios while tutors provide small-group guidance. Participants in the intervention group may also take part in semi-structured interviews to describe their experiences. Quantitative data will be summarized descriptively, and qualitative data from interviews, open-ended responses, and workshop observations will be analyzed using content analysis.

研究の種類

介入

入学 (推定)

80

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:Carmen WH Chan, PhD
  • 電話番号:+852 39436218
  • メール:whchan@cuhk.edu.hk

研究連絡先のバックアップ

研究場所

      • Hong Kong、香港
        • The Nethersole School of Nursing, The Chinese University of Hong Kong

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

  • 子
  • 大人
  • 高齢者

健康ボランティアの受け入れ

はい

説明

Inclusion Criteria:

  • Undergraduate nursing students enrolled in the Bachelor of Nursing programme at CUHK Nethersole School of Nursing.
  • Enrolled in the NURS 3127 course during the 2026-27 academic year.
  • Willing and able to provide verbal informed consent and participate voluntarily in the study.

Exclusion Criteria:

  • Students with prior participation in design-thinking workshops.

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:独身

武器と介入

参加者グループ / アーム
介入・治療
実験的:Intervention Group
The intervention arm will receive an AI-assisted design thinking workshop aimed at strengthening empathetic communication in nursing education. The workshop includes two structured tutorials: the first introduces the design thinking process through activities such as empathy mapping, patient journey mapping, "How Might We" framing, and rapid paper prototyping based on real clinical communication challenges. The second tutorial uses a customized conversational AI chatbot to simulate patient scenarios, allowing students to practice responses in a safe learning environment. During the session, tutors will rotate among groups to provide small-group guidance, feedback, and debriefing. The intervention is intended to help students build empathy, creative thinking, collaboration, and patient-centred communication skills.
This intervention is distinct because it combines design thinking with a conversational AI chatbot to teach empathy in undergraduate nursing education. Rather than using lectures or standard simulation alone, it places students in an active, human-centred learning process that begins with empathy mapping and patient journey mapping, then moves to ideation, prototyping, and reflection. The chatbot provides realistic, bilingual clinical communication scenarios and immediate tailored feedback, including difficult situations such as breaking bad news, managing non-compliance, and responding to emotional or culturally complex encounters. The workshop is also developed through co-design with faculty and students, making the intervention closely aligned with actual learning needs and course context. In addition, the study uses a wait-list randomized controlled design, allowing comparison with usual learning while ensuring all students can eventually receive the workshop.
他の:Wait-list control group
The wait-list control group will complete the same baseline and follow-up questionnaires as the intervention group but will not receive the workshop during the main study period. Instead, they will continue with their usual learning activities and will be offered the AI-assisted design thinking workshop after the study data collection is completed.
This intervention is distinct because it combines design thinking with a conversational AI chatbot to teach empathy in undergraduate nursing education. Rather than using lectures or standard simulation alone, it places students in an active, human-centred learning process that begins with empathy mapping and patient journey mapping, then moves to ideation, prototyping, and reflection. The chatbot provides realistic, bilingual clinical communication scenarios and immediate tailored feedback, including difficult situations such as breaking bad news, managing non-compliance, and responding to emotional or culturally complex encounters. The workshop is also developed through co-design with faculty and students, making the intervention closely aligned with actual learning needs and course context. In addition, the study uses a wait-list randomized controlled design, allowing comparison with usual learning while ensuring all students can eventually receive the workshop.

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
Empathy
時間枠:The baseline assessment will be completed one week before the workshop. The post-intervention assessment will be completed within one week after the second tutorial at 12 weeks from enrollment.
Empathy will be measured with the Jefferson Scale of Empathy-Health Professions Student Version (JSE-HPS) which yields total scores ranging from 20 to 140; higher scores indicate greater empathy.
The baseline assessment will be completed one week before the workshop. The post-intervention assessment will be completed within one week after the second tutorial at 12 weeks from enrollment.

二次結果の測定

結果測定
メジャーの説明
時間枠
Creativity, collaboration, problem-solving
時間枠:The baseline assessment will be completed one week before the workshop. The post-intervention assessment will be completed within one week after the second tutorial at 12 weeks from enrollment.
Creativity, collaboration, and problem-solving will be measured with the Student Engagement Questionnaire (SEQ). Each domain comprises two items rated on a 5-point Likert scale. The mean score for each domain will range from 1 to 5, with higher scores indicating greater perceived creativity, collaboration, and problem-solving ability.
The baseline assessment will be completed one week before the workshop. The post-intervention assessment will be completed within one week after the second tutorial at 12 weeks from enrollment.
Patient-centred care attitudes
時間枠:The baseline assessment will be completed one week before the workshop. The post-intervention assessment will be completed within one week after the second tutorial at 12 weeks from enrollment. .
Patient-centred care attitudes will be measured using the Patient-Practitioner Orientation Scale (PPOS), an 18-item instrument comprising the sharing and caring subscales. Items are rated on a 6-point Likert scale, and the overall score will be calculated as the mean of all item scores, ranging from 1 to 6. Higher scores indicate more patient-centred care attitudes.
The baseline assessment will be completed one week before the workshop. The post-intervention assessment will be completed within one week after the second tutorial at 12 weeks from enrollment. .
Experiences and views on the workshop
時間枠:After intervention, at 12 weeks from enrollment.
Evaluate by semi-structured interviews on the Intervention group
After intervention, at 12 weeks from enrollment.

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。

捜査官

  • 主任研究者:Carmen WH Chan, PhD、The Nethersole School of Nursing, The Chinese University of Hong Kong

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8月25日

一次修了 (推定)

2027年5月24日

研究の完了 (推定)

2027年8月24日

試験登録日

最初に提出

2026年8月1日

QC基準を満たした最初の提出物

2026年8月14日

最初の投稿 (実際)

2026年8月17日

学習記録の更新

投稿された最後の更新 (実際)

2026年8月17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14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

  • TDLEG_496_PR
  • SBRE-25-1206 (その他の識別子:Survey and Behavioral Research Ethics)

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

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いいえ

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いいえ

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