ArticleBMC medical education2023
Which virtual education methods do e‑students prefer? Design and validation of Virtual Education Preferences Questionnaire (VEPQ).
Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Quantifying virtual education preferences in medical sciences during crises: a discrete choice analysis.BMC medical education · 2026Article
- The effect of online multimedia psychoeducational interventions on psychological empowerment of healthcare providers.Journal of education and health promotion · 2026Article
- Key factors influencing educational technology adoption in higher education: A systematic review.PLOS digital health · 2025Article
- Research on the Application and Effect of a Virtual Simulation Platform in Undergraduate Education in Oral Radiology Courses.Advances in medical education and practice · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the prevalence of new technologies and evolving student learning styles, virtual teaching methods have become increasingly popular. As a result, more and more students are opting to learn online. However, one common concern is that they may feel disconnected from their teachers, leading to feelings of loneliness and doubts about the quality of education they are receiving. To address this issue, a study was conducted to gather data on students' preferences for virtual education and to validate a tool for measuring students' preferences for virtual education.
methodsThe research was conducted in a mixed method with a quantitative-qualitative sequence. A virtual education preferences questionnaire (VEPQ) for students with a total of 17 items was created and validated as part of the qualitative component by looking at the theoretical underpinnings and experts' opinions in the focus group. The scale of the six-point Likert questionnaire was from very high to very low. To validate the tool and determine preferences, exploratory factor analysis was used. A total of 155 samples answered the questions and the data were analyzed using SPSS-24 software.
resultsA total of 155 complete questionnaires were returned; among them, 110 (71%) were filled out by women, 73 (47.1%) by respondents between the ages of 36 and 45, 107 (69%) were already employed in paramedical fields, and 48 (31%) were enrolled in a medical school. The opinions of ten experts were used to confirm the face validity of the questionnaire. With CVI = 0.924 and CVR = 0.805, content validity was verified. Using the internal consistency method of the questions with a Cronbach's alpha coefficient of R = 0.824, the validity of the entire questionnaire was confirmed. Exploratory factor analysis revealed that a total of five components-self-directed projects (29.58%), e-content (13.00%), online presentation (10.97%), face-to-face interactions (9.12%), and text interactions (7.11%) had the highest load, with a total of 69.77% of the structure explaining virtual education preferences. The factor analysis test and the suitability of the sample are both confirmed by the value of KMO = 0.721 and the significance of Pvalue < 0.001.
conclusionIt appears that the highly valid tool developed can be used to ascertain the educational preferences of students. Also, the high factor load of self-directed educational methods and e-content shows that independence and flexibility in time and place are more important for students.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.