AI-Powered Virtual Human Simulation in Students

September 1, 2026 updated by: Ke-Yun, Chao, Fu Jen Catholic University

Evaluation of an AI-Assisted Learning Approach for Enhancing Clinical Knowledge in Respiratory Therapy Students

This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning motivation, clinical confidence, learning satisfaction, and critical thinking disposition.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

Critical care requires timely patient assessment, clinical judgment, and appropriate intervention, yet respiratory therapy students may have limited opportunities to experience complex clinical situations before entering clinical training. Traditional teaching methods are often based on lectures, case discussions, and demonstrations, and may be limited by available facilities, equipment, and clinical cases. AI-based virtual human simulation provides a safe and repeatable environment in which students can practice clinical decision-making and receive immediate feedback. This study will recruit eligible respiratory therapy students who voluntarily participate in AI-based critical care simulation training and will compare pre- and post-training assessments of learning outcomes, self-efficacy, and learning experience. The training is expected to improve students' critical care knowledge, clinical reasoning, confidence, and learning engagement, and the findings may provide a reference for future pre-clinical training and AI-assisted respiratory therapy education.

Study Type

Interventional

Enrollment (Estimated)

40

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • Taiwan
      • New Taipei City, Taiwan, 24352
        • Fu Jen Catholic University Hospital, Fu Jen Catholic University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Respiratory therapy students participating in the pre-clinical training course, "Clinical Application of Critical Care Respiratory Therapy," at Fu Jen Catholic University Hospital between September 10 and October 10, 2026
  • Able to communicate verbally in Mandarin and complete study-related questionnaires and interviews
  • Considered suitable by the course instructor to participate in the AI-based virtual human simulation training
  • Willing to participate

Exclusion Criteria:

  • Students considered unsuitable by the course instructor to participate in the AI-based virtual human simulation training
  • Individuals who are unable to communicate effectively in Mandarin, complete the study training, or complete study questionnaires due to language, cognitive, or other factors
  • Individuals who are unwilling to participate in the study

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI-based simulation group
Receive AI-based virtual human simulation training
Other: AI-based virtual human simulation training
present simulated critical care scenarios

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Examination score of pre-intervention
Time Frame: pre-intervention
score of pre-intervention (maximun 100 and minimum 0), higher means a better outcome
pre-intervention
Examination score of post-intervention
Time Frame: immediately after the intervention
score of post-intervention (maximun 100 and minimum 0), higher means a better outcome
immediately after the intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Fu Jen Catholic University

Investigators

  • Principal Investigator: Ke-Yun Chao, PhD, Fu Jen Catholic University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

September 1, 2026

Primary Completion (Estimated)

July 31, 2027

Study Completion (Estimated)

July 31, 2027

Study Registration Dates

First Submitted

September 1, 2026

First Submitted That Met QC Criteria

September 1, 2026

First Posted (Actual)

September 4, 2026

Study Record Updates

Last Update Posted (Actual)

September 4, 2026

Last Update Submitted That Met QC Criteria

September 1, 2026

Last Verified

August 1, 2026

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • FJUH115675

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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