Development and Evaluation of a Progressive Respiratory Critical Care Simulation Education Program Using Generative AI: Based on Cognitive Load Theory

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0012054

Enrollment

Registered

2026-05-28

Start date

2026-06-08

Completion date

Unknown

Last updated

2026-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Behavioral : ### ? Intervention Group The progressive respiratory nursing simulation education program utilizing generative AI was designed to be conducted over a total of 2 weeks and 2 sessions, wit

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: The participants in this study will be nursing students enrolled in a college of nursing. The inclusion criteria are as follows: 1. Individuals who understand the purpose of the study and voluntarily agree to participate in the research 2. Nursing students enrolled in a college of nursing who have completed at least two semesters of clinical practice experience

Exclusion criteria

Exclusion criteria: 1. Individuals who have previously participated in simulation-based education programs related to respiratory patient nursing outside the regular nursing curriculum.

Design outcomes

Primary

Measure	Time frame
self-assessment accuracy;metacognition ;achievement emotion ;cognitive load	—

Secondary

Measure	Time frame
Respiratory nursing knowledge;Simulation education satisfaction	—

Countries

Korea, Republic of

Contacts

Public Contactsohee jung

Gyeongsang National University

sohee6788@naver.com+82-55-772-8220

Outcome results