ArticleBMC medical education2024
Factors affecting medical students' intention to use Rain Classroom: a cross-sectional survey.
Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Comparison of the BOPPPS model combined with rain classroom teaching and traditional method on nephrology education for fifth-year undergraduates.BMC medical education · 2026Trial
- The Impact of Rain classroom-based flipped classroom (RC-BFC) on surgical nursing education enhancement.BMC nursing · 2026Article
- Integrating rain classroom with case-based learning in teaching dental hard tissue non-carious diseases: a comparative study.BMC medical education · 2026Article
- Factors influencing preclinical medical students' satisfaction with hospital teachers' instruction in a blended learning environment integrating the rain classroom platform in China.Frontiers in psychology · 2025Article
- Emerging horizons: A Rainbow Model for the sustainable implementation of Rain Classroom in vocational nursing education.PloS one · 2025Article
- Determinants affecting the medical students adoption of mobile learning: extended UTAUT.BMC medical education · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundRain Classroom was one of the most popular online learning platforms in Chinese higher education during the pandemic. However, there is little research on user intention under the guidance of technology acceptance and unified theory (UTAUT).
objectiveThis research aims to determine factors influencing students' behavioural intention to use Rain Classroom.
methodsIn this cross-sectional and correlational investigation, 1138 medical students from five medical universities in Guangxi Province, China, made up the sample. This study added self-efficacy (SE), motivation (MO), stress (ST), and anxiety (AN) to the UTAUT framework. This study modified the framework by excluding actual usage variables and focusing only on intention determinants. SPSS-26 and AMOS-26 were used to analyze the data. The structural equation modelling technique was chosen to confirm the hypotheses.
resultsExcept for facilitating conditions (FC), all proposed factors, including performance expectancy (PE), effort expectancy (EE), social influence (SI), self-efficacy (SE), motivation (MO), anxiety (AN), and stress (ST), had a significant effect on students' behavioural intentions to use Rain Classroom.
conclusionsThe research revealed that the proposed model, which was based on the UTAUT, is excellent at identifying the variables that influence students' behavioural intentions in the Rain Classroom. Higher education institutions can plan and implement productive classrooms.
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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.