Evidence map›Paper›PMID 41761223›Full record

ArticleBMC nursing2026

From curiosity to continuance: explaining nursing students' continuance learning intention in virtual simulation using an integrated ECM-TAM.

Yuan Jiang, Shijie Wu, Minghao Kong

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Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yuan JiangShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China. syekjy@163.com.
Shijie WuTongji University School of Medicine, Shanghai, China.
Minghao KongShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVirtual simulation is integral to modern nursing education, yet the “acceptance-discontinuance anomaly”—where students cease usage after initial adoption, resulting in fragmented skill acquisition—remains a challenge. Understanding the determinants of Continuance Learning Intention (CLI) is crucial for sustainable competency development. This study aims to investigate the factors influencing nursing students’ CLI toward virtual simulation by integrating the Expectation-Confirmation Model (ECM), Technology Acceptance Model (TAM), and the construct of Clinical Curiosity.

methodsA descriptive cross-sectional study was conducted at a medical university in Shanghai, Eastern China. A total of 281 nursing students with experience in virtual simulation were recruited to complete an online survey. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the hypothesized relationships among confirmation, perceived clinical usefulness, satisfaction, attitude, clinical curiosity, and CLI.

resultsThe integrated model explained 43.8% of the variance in CLI. The model demonstrated good fit with a Standardized Root Mean Square Residual (SRMR) of 0.053. Confirmation significantly predicted Perceived Clinical Usefulness (PCU) and Satisfaction (p < 0.001). Satisfaction (β = 0.341, p < 0.001) and Attitude (β = 0.402, p < 0.001) were direct predictors of CLI. Notably, Clinical Curiosity did not directly predict intention (β = 0.045, p = 0.323). Instead, mediation analysis revealed that Attitude fully mediated the relationship between Clinical Curiosity and CLI (β = 0.084, p < 0.001).

conclusionsClinical relevance and user satisfaction are foundational for retention. Uniquely, intrinsic clinical curiosity alone does not guarantee continued learning in this high-stakes educational context; it must be catalyzed into a positive evaluative attitude to drive sustainable usage. Instructional designs should prioritize bridging curiosity-triggering content with attitude-reinforcing debriefings to foster long-term engagement.

Indexed as

Clinical curiosityContinuance learning intentionNursing studentsPLS-SEMVirtual simulation

Identifiers

PMID41761223
PMCPMC13040937

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.