기술수용모델 2를 중심으로 한국 간호대학생의 메타버스 기반 블랜디드러닝 간호해부학 수업 수용의도에 영향을 미치는 요인: 횡단적 연구Factors influencing nursing students’ intention to accept metaverse-based blended learning nursing anatomy classes based on technology acceptance model 2 in Korea: a cross-sectional study
- Other Titles
- Factors influencing nursing students’ intention to accept metaverse-based blended learning nursing anatomy classes based on technology acceptance model 2 in Korea: a cross-sectional study
- Authors
- 전미양; 허은주; 윤치양; 정원민; 정현철
- Issue Date
- Nov-2025
- Publisher
- 기초간호학회
- Keywords
- 간호대학생; 의도; 해부학; Students; nursing; Intention; Anatomy
- Citation
- Journal of korean biological nursing science, v.27, no.4, pp 650 - 659
- Pages
- 10
- Indexed
- SCOPUS
KCI
- Journal Title
- Journal of korean biological nursing science
- Volume
- 27
- Number
- 4
- Start Page
- 650
- End Page
- 659
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/81327
- DOI
- 10.7586/jkbns.25.061
- ISSN
- 2383-6415
2383-6423
- Abstract
- PurposeThis study aimed to identify the factors influencing nursing students’ intention to use metaverse-based blended learning in nursing anatomy classes by applying the technology acceptance model 2 (TAM 2).
MethodsThis descriptive survey study included 155 students from a nursing college in Seoul. TAM 2 comprised 25 items measured on a 5-point Likert scale, encompassing subjective norm, image, job relevance, output quality, result demonstrability, perceived ease of use, perceived usefulness, and intention to use. Hierarchical regression analysis was performed to identify factors affecting students’ intention to use metaverse-based learning.
ResultsIn regression model 1, which included general and metaverse education-related characteristics, the factors significantly influencing the intention to use were the perceived necessity of metaverse education (β = .59, p < .001) and having more than three semesters of metaverse experience (β = −.22, p = .010), explaining 41.0% of the variance. When TAM 2 variables were added (model 2), significant predictors included perceived necessity of metaverse education (β = .26, p = .004), perceived ease of use (β = .33, p < .001), and perceived usefulness (β = .48, p < .001), explaining 76.0% of the variance.
ConclusionTo promote effective use of the metaverse platform in nursing education, strategies that enhance students’ perceived usefulness and ease of use are essential. Educational interventions should focus on improving familiarity with metaverse technologies to facilitate their integration into nursing curricula.
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