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Cited by 138Online and Blended LearningEducational Technology and E-LearningOnline Learning and Analytics

Effectiveness of Blended Learning in Nursing Education

Open access
Sáiz-Manzanares, María Consuelo, Escolar-Llamazares, María-Camino, Arnaiz González, Álvar·2020·International Journal of Environmental Research and Public Health
DOI 10.3390/ijerph17051589PMC PMC7084479
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Abstract

Currently, teaching in higher education is being heavily developed by learning management systems that record the learning behaviour of both students and teachers. The use of learning management systems that include project-based learning and hypermedia resources increases safer learning, and it is proven to be effective in degrees such as nursing. In this study, we worked with 120 students in the third year of nursing degree. Two types of blended learning were applied (more interaction in learning management systems with hypermedia resources vs. none). Supervised learning techniques were applied: linear regression and k-means clustering. The results indicated that the type of blended learning in use predicted 40.4% of student learning outcomes. It also predicted 71.9% of the effective learning behaviors of students in learning management systems. It therefore appears that blended learning applied in Learning Management System (LMS) with hypermedia resources favors greater achievement of effective learning. Likewise, with this type of Blended Learning (BL) a larger number of students were found to belong to the intermediate cluster, suggesting that this environment strengthens better results in a larger number of students. BL with hypermedia resources and project-based learning increase students´ learning outcomes and interaction in learning management systems. Future research will be aimed at verifying these results in other nursing degree courses.

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  • AI-supported learning environments may promote self-directed learning behaviors.

    “Finally, AI-supported learning environments may promote self-directed learning behaviors [35, 37].”

    From Effectiveness of a generative AI-powered digital tutor integrated with a knowledge graph in anatomy education for nursing students: a randomized controlled trial (2026) · cites this paper as [37]

    The Introduction (§1) says LMS environments can facilitate self-regulated learning, and the Discussion (§4) says a blended-learning design with feedback furthers students’ self-regulated learning strategies. But the paper describes AI techniques chiefly as tools for analyzing and predicting learning behaviors; it does not establish that AI support itself promotes those behaviors. The claim also uses “self-directed” where the paper discusses “self-regulated” learning. (LLM, conf=0.84)

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Cited by

Sorted by citations

Authors
Sáiz-Manzanares, M. C., Escolar-Llamazares, M.-C., & Arnaiz González, Á.
Affiliations
  • Departamento de Ciencias de la Salud, Facultad de Ciencias de la Salud, Universidad de Burgos, C/ Comendadores s/n, 09001 Burgos, Spain
  • Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Avda. Cantabria s/n, 09006 Burgos, Spain
ORCID
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2020-03-01
Volume
17
Issue
5
Pages
1589
ISSN
1660-4601 (ISSN-L)
DOI
10.3390/ijerph17051589
PMC
PMC7084479
OpenAlex
W3010395104
Cited by
138
References
1
Citations by year
2026: 5 · 2025: 18 · 2024: 26 · 2023: 23 · 2022: 35 · 2021: 17 · 2020: 12 · 2019: 2
FWCI
32.93
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Repositorio Institucional de la Universidad de Burgos (University of Burgos) (submittedVersion, cc-by)
Funders
Consejería de Educación de la Junta de Castilla y León (Spain) (BU032G19)
Topics
  • Social Sciences › Education › Online and Blended Learning
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and E-Learning
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
blended learning, nursing education, virtual learning environments, project-based learning, learning outcomes, student learning behavior, supervised learning, K-means clustering, linear regression
MeSH terms
Adult, Computer-Assisted Instruction, Education, Nursing, Baccalaureate, Educational Measurement, Female, Humans, Learning, Male, Students, Nursing, Linear Models, Models, Educational, Young Adult

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