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Not yet recruiting NCT07370285

AI-Supported Empathy Mapping to Enhance Communication and Grit in Pediatric Nursing Students

No phase Interventional Artificial Intelligence (AI) Empathy Scaffolding Pediatric Nursing

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: AI-Supported Empathy-Map Scaffolding Model.
Who it may be relevant to
Registry conditions: Artificial Intelligence (AI), Empathy, Scaffolding, Pediatric Nursing. Basic parameters: 18 years — 25 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Center list to be confirmed — check the primary protocol.
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Enhancing Pediatric Nursing Students' Communication Skills and Grit Through an AI-Supported Empathy-Map Scaffolding Model: A Practice-Based Study

Overview

The nurse-patient communication environment in pediatric care is characterized by high uncertainty and complexity. Due to children's limited language development and emotional regulation abilities, coupled with parents' high level of involvement, nursing students often experience anxiety, lack of confidence, and avoidance behaviors, which negatively affect their clinical learning outcomes and the establishment of therapeutic relationships. Therefore, providing effective communication support strategies is essential in pediatric nursing education. This study aims to implement an instructional scaffolding model using artificial intelligence (AI)-generated empathy maps to enhance the communication skills, empathy performance, and grit of nursing students during pediatric clinical practicums when encountering communication challenges. A mixed-methods research design was adopted, and the participants were third-year nursing students enrolled in a pediatric nursing practicum course. The teaching intervention included AI-assisted generation of age-appropriate communication strategies, the construction of a grit-oriented empathy map, small group scenario-based exercises, and the application of learned strategies in clinical settings. Quantitative data were collected using pre- and post-intervention assessments, including an empathy scale, a communication skills scale, and a grit scale, to evaluate changes in learning outcomes. Qualitative data, including reflective journals, clinical observations, and focus group interviews, were analyzed to explore students' learning processes and strategy adaptations. Triangulation was applied to strengthen the validity of the findings. It is anticipated that this teaching model will enhance students' understanding of pediatric patients' emotional needs, strengthen their communication strategy application and clinical interaction quality, and promote persistence and adaptability in challenging situations. Through evidence-based teaching practice, this study is expected to provide a feasible and scalable innovative instructional model that supports the effective integration of AI into clinical nursing education, thereby improving pediatric nursing competence and the quality of care for children.

Interventions

  • Behavioral AI-Supported Empathy-Map Scaffolding Model
    The AI-Supported Empathy-Map Scaffolding Model is an educational intervention that combines empathy-map construction with AI-assisted reflective prompts to enhance communication skills, empathy, and grit in pediatric nursing students. The intervention uses case-based learning within regular coursework, involves no clinical treatment or patient contact, and is considered minimal risk.

Primary outcome measures

  • Communication Skills [Time frame: Baseline (pre-intervention) and immediately post-intervention]

Eligibility criteria

Inclusion criteria

  • Undergraduate nursing students aged 18 years or older
  • Students enrolled in the Pediatric Nursing Practicum course

Exclusion criteria

1\. Students who have not passed the Pediatric Nursing course

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Non-randomized
Model
Parallel assignment
Masking
Open label
Primary purpose
Treatment

Study locations

Center list to be confirmed — check the primary protocol.

Identifiers

NCT: NCT07370285 · 25MMHIS511e

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗