Evidence map›Paper›PMID 38074340›Full record

ArticleDigital health

The perspectives of health sciences students the new way of learning: Mixed methods design.

Yisca Berenshtein, Riki Tesler, Inbal Halevi Hochwald, Gizell Green

Open access · goldAbstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yisca BerenshteinFaculty of Health Science, Nursing Department, Ariel University, Ariel City, Israel.
Riki TeslerDepartment of Health System Management, Faculty of Health Science, Ariel University, Ariel, Israel.ORCID https://orcid.org/0000-0001-6070-6193
Inbal Halevi HochwaldSchool of Nursing, Max Stern Yezreel Valley College, The Yezreel Valley, Israel.
Gizell GreenFaculty of Health Science, Nursing Department, Ariel University, Ariel City, Israel.ORCID https://orcid.org/0000-0002-3649-2145
Ariel University · ILThe Max Stern Yezreel Valley College · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aimed to determine the following four differences between students in the fields of nursing and health systems management: (a) attitudes towards web-based learning, (b) online course anxiety, (c) online course self-efficacy, and (d) intentional use of technology for learning and find factors that influence students' intentional learning with technology. Methods: The study utilized an explanatory sequential mixed methods design. The study was performed according to the checklist for assessment and reporting of document analysis for mixed methods design and research in health professions education. We included students from the School of Health Sciences, including those studying nursing and health systems management. There were 304 students included in our study. Results: Students from health systems management had more positive attitudes toward web-based learning than nursing students. Health science students' years of study, online course self-efficacy, and web-based learning influence intentional learning with technology among students. The qualitative finding corresponds only with the qualitative result demonstrated that online course self-efficacy predicts the intentional use of technology for learning. Conclusions: It is needed to consider factors for designing effective online learning experiences in health science, enabling educators to enhance intentional technology-based learning for nursing and health systems management students through web-based learning optimization.

Indexed as

anxietycompatibilityHealth sciences studentsintentional learning with technologyonline coursesself-efficacyweb-based learning

Identifiers

PMID38074340
PMCPMC10710106
OpenAlexW4389493017

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.