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NCT Number: NCT07825077

Effects of AI Dialogue-Based Scenario Simulation on Students' Flow and Learning Performance

This study examines the effects of an AI dialogue-based scenario simulation integrated with concept mapping and post-dialogue feedback on nursing students' learning. Nursing students will participate in pediatric care scenarios using standardized AI-supported dialogues. Two feedback approaches will be compared: gamified feedback and conventional formative feedback without gamification elements. The study will examine students' flow experience and learning performance and explore how collaborative processes and interaction mechanisms may contribute to these outcomes. The findings are expected to provide evidence on how different feedback approaches influence students' engagement and learning during AI-supported scenario simulation.

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Key information

Conditions

Nursing Education

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Chang Gung University of Science and Technology

Taoyuan, Taoyuan City, 333324, Taiwan

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Undergraduate nursing students enrolled in the designated nursing course during the study period.

  • Aged 18 years or older.
  • Willing to participate and providing informed consent.

Exclusion criteria

  • Students who decline or do not provide informed consent.

Treatment and study plan

Gamified Feedback

Behavioral

Gamified feedback is delivered following the AI dialogue-based scenario simulation and includes game-related elements such as points, levels, progress indicators, and mission-based features.

Conventional Formative Feedback

Behavioral

Conventional formative feedback is delivered following the same AI dialogue-based scenario simulation without gamification elements.

Primary outcomes

  1. Flow Experience

    Time frame: Baseline (before the intervention) and immediately after completion of the intervention (approximately Week 18).

    Flow experience will be assessed using the 8-item Flow Experience Questionnaire developed by Pearce et al. (2005). Each item is rated on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Higher scores indicate a greater level of flow experience. Descriptive statistics will be used to examine the distribution and change in flow scores, missing data, and internal consistency.

  2. Academic Learning Performance

    Time frame: At approximately Week 9 (midterm examination) and Week 18 (final examination) of the academic semester.

    Academic learning performance will be assessed using students' course midterm and final examination scores. Higher scores indicate better academic performance.

Secondary outcomes

  1. Intrinsic Motivation

    Time frame: Baseline (before the intervention) and immediately after completion of the intervention (approximately Week 18).

    Intrinsic motivation will be assessed using a 25-item version of the Intrinsic Motivation Inventory (IMI), based on the IMI framework of McAuley et al. (1989) and the version adapted by Yin et al. (2021). Items are rated on a 7-point Likert scale from 1 (strongly disagree) to 7 (strongly agree). The instrument assesses five dimensions: interest/enjoyment, pressure/tension, perceived choice, perceived competence, and perceived value. Reverse-coded items will be recoded before analysis, and each subscale score will be calculated as the mean of its constituent items.

Study contacts

Contact information is provided by the study sponsor or research team.

Bao Huan Yang, PhD

CONTACT

[email protected]

+88632118999 ext 3401

Sponsors and collaborators

Lead sponsor

Chang Gung University of Science and Technology

Other

Registry information

Official study title

The Effects of Scenario Simulation Via AI Dialogue Integrated With Concept Mapping and Gamified Feedback on Students' Flow and Learning Performance: The Roles of Collaborative Processes and Interaction Mechanisms

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Sep 17, 2026
Registry last updated
Sep 21, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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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