Evidence map›Paper›PMID 42769366›Full record

ArticleFrontiers in public health2026

Online real-time teaching interaction and self-regulated learning ability: a cross-sectional mediation study among undergraduate nursing students.

Dongmei Liu, Wanpeng Zhen, Meiyuan Yang, Yongchao Jin, Ye Lin, Huifeng Bo, Rui Yang

Abstract read
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Article in Frontiers in public health, 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

What it found

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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

7 authors.

Dongmei LiuSchool of Science, North China University of Science and Technology, Tangshan, China.
Wanpeng ZhenSchool of Science, North China University of Science and Technology, Tangshan, China.
Meiyuan YangCollege of Civil and Architectural Engineering, North China University of Science and Technology, Tangshan, China.
Yongchao JinSchool of Science, North China University of Science and Technology, Tangshan, China.
Ye LinLogistics Service Center, North China University of Science and Technology, Tangshan, China.
Huifeng BoSchool of Science, North China University of Science and Technology, Tangshan, China.
Rui YangSchool of Philosophy and Sociology, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As higher education increasingly shifts toward online models, nursing education has also widely adopted digital learning formats, one of the key theoretical foundations of which is the self-regulated learning model. Existing research has confirmed that academic self-efficacy is significantly and positively associated with the development of students' self-regulated learning abilities. However, its mediating mechanism between online real-time teaching interaction and self-regulated learning ability in nursing students has not yet been systematically explored. Methods: This study adopted a cross-sectional survey design. From September 30th, 2025 (with a data collection period of one week), a questionnaire survey was conducted among nursing students from four nursing undergraduate programs in Jilin Province. Using the convenience sampling method, a total of 813 valid questionnaires were collected. Data were collected through questionnaires, utilizing the following instruments: the online real-time teaching interaction (ORTTI), the academic self-Efficacy (ASE), and the self-regulated learning (SRL) scales. All data were processed using the SPSS AU statistical analysis platform. Analytical methods encompassed descriptive statistics, correlation analysis between variables, path analysis with Bootstrap mediation testing, and mediation effect testing for academic self-efficacy. Results: The results indicate that, the online real-time teaching interaction was significantly and positively related to self-regulated learning ability in nursing students ( Conclusion: These findings suggest that online real-time teaching interaction is directly and positively associated with the self-regulated learning ability of nursing students, and may also be indirectly associated with it through higher academic self-efficacy. The results highlight the importance of intentionally designing interactive components in online nursing education that support academic self-efficacy. These findings may inform the design of interactive online courses that support nursing wstudents' academic self-efficacy and self-regulated learning.

Indexed as

Education, DistanceEducation, Nursing, BaccalaureateLearningSelf EfficacyStudents, NursingAdultChinaCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesYoung Adultacademic self-efficacymediating rolenursing studentsonline real-time teaching interactionself-regulated learning ability

Identifiers

PMID42769366
PMCPMC13590722

What OpenQuestion holds

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Registered trials

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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.