Chang Gung University of Science and Technology
Taoyuan, Guishan, 333324, Taiwan
NCT Number: NCT07748897
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.
This study is active but is not currently recruiting participants.
Notify Me18 year and older
All sexes
Interventional
Not applicable
Taoyuan, Guishan, 333324, Taiwan
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
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.
Time frame: From baseline before the intervention to immediately after completion of all three simulation scenarios
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
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
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
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 the baseline learning activity before the intervention to immediately after completion of all three simulation scenarios
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: Immediately after each corresponding simulation scenario
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: Within 4 weeks after finalization of the course grades
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.
Chang Gung University of Science and Technology
Other
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
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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