CClinicalTrials.gg
Active, not recruitingNCT07748897Updated Aug 6, 2026

Effects of Concept Mapping and AI Dialogue on Flow and Learning Outcomes in Simulation-Based Learning

An interventional study of ChatGPT-Assisted Preparation for Pediatric Nursing Simulation and Standard Preparation for Pediatric Nursing Simulation in Nursing Education and Simulation-Based Learning, sponsored by Chang Gung University of Science and Technology. Active, not recruiting at 1 site in Taiwan. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-08-06.

Sponsored by Chang Gung University of Science and Technology · Not applicable, Interventional, and Other

From the registry’s dates

  • Registered 10 months after the study started (first participant enrolled Sep 2025, registered Aug 2026).
Phase
Not applicable
Study type
Interventional
Enrollment
168
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

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.

Read the detailed description

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.

02

Conditions studied

  • Nursing Education
  • Simulation-Based Learning

Keywords

  • Nursing Students
  • Simulation-Based Learning
  • Concept Mapping
  • Generative Artificial Intelligence
  • Flow Experience
  • Learning Outcomes
  • Critical Thinking
  • Self-Efficacy
  • Communication Skills
03

In context

Lead sponsor

Chang Gung University of Science and Technology is the lead sponsor of 41 studies on the registry; 22 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

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

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.
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
168 participants (actual)

Study arms

  • Experimental
    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.

    Other: ChatGPT-Assisted Preparation for Pediatric Nursing Simulation

  • Active comparator
    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.

    Other: Standard Preparation for Pediatric Nursing Simulation

Interventions

  • OtherChatGPT-Assisted Preparation for Pediatric Nursing Simulation

    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.

  • OtherStandard Preparation for Pediatric Nursing Simulation

    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.

06

What researchers measure

Primary outcomes

  1. Change From Baseline in Pediatric Nursing Knowledge Test Score

    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.

    Time frame: From baseline before the intervention to immediately after completion of all three simulation scenarios

Secondary outcomes

  1. Change From Baseline in Critical Thinking Disposition Score

    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.

    Time frame: From baseline before the intervention to immediately after completion of all three simulation scenarios

  2. Change From Baseline in Self-reported Communication Competence Score

    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.

    Time frame: From baseline before the intervention to immediately after completion of all three simulation scenarios

  3. Change From Baseline in Learning Self-Efficacy Score

    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.

    Time frame: From baseline before the intervention to immediately after completion of all three simulation scenarios

  4. Change From Baseline in Flow Experience Score

    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.

    Time frame: From the baseline learning activity before the intervention to immediately after completion of all three simulation scenarios

  5. Post-intervention Perceived Learning Objective Achievement Score

    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.

    Time frame: Immediately after each corresponding simulation scenario

Other outcomes

  1. Students in the experimental group will be invited to participate in semi-structured interviews to explore their experiences with the ChatGPT-assisted learning approach.

    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.

    Time frame: Within 4 weeks after finalization of the course grades

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Study locations

1 site
  • Chang Gung University of Science and Technology
    Taoyuan, Guishan 333324, Taiwan
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 6, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07748897
Lead sponsor
Chang Gung University of Science and Technology
Responsible party
Yang,Bao-Huan (Professor, Chang Gung University of Science and Technology) — Principal investigator
First posted
Aug 6, 2026
Start date
Sep 23, 2025
Primary completion
Sep 30, 2026 (estimated)
Completion
Sep 30, 2026 (estimated)
Last update
Aug 6, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is active, not recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.

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