ArticleFASEB bioAdvances2022
Brave new E-world: Medical students' preferences for and usage of electronic learning resources during two different phases of their education.
Article in FASEB bioAdvances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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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
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Spaced Digital Education for Health Professionals: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Introducing virtual microscopy at the University of Ghana during the COVID-19 pandemic-Identifying and overcoming obstacles in a low-resource learning environment.Anatomical sciences education · 2026Article
- Comparative analysis of university lectures, textbooks, and online video lectures: preferences, engagement, and impact on academic performance among medical students of Nowshera Medical College.BMC medical education · 2026Article
- Online learning resource preferences across learning stages: a cognitive load theory perspective in UK medical students in early years.BMC medical education · 2026Article
- Design of Learner-Created Electronic Flashcards in Undergraduate Medical Education: Implications for Knowledge and Skill Development.Medical science educator · 2026Article
- Device Access, Gender, and Academic Year Influence E-Learning Patterns in Indian Medical Education.Cureus · 2026Article
- Perceptions from a Single Virtual Near-Peer Mock SBA Examination: A Retrospective Pre-Post Study Among Undergraduate Medical Students.Advances in medical education and practice · 2026Article
- A global overview of anatomical science education and its present and future role in biomedical curricula.Anatomical sciences education · 2026Review
- Medical students' perceptions of the effectiveness of module study guides: a mixed-methods study in Saudi Arabia.Frontiers in medicine · 2026Article
- Patterns of screen use and their association with sleep among medical students: a cross-sectional study.Frontiers in public health · 2026Article
- An Assessment of Anki Flashcards Use in Comparison to Alternative Study Methodologies in First Year Graduate Entry Medical Students.Medical science educator · 2025Article
- Learning together: a narrative review of external resources for medical education through a shared student-faculty lens.Annals of medicine · 2025Review
- Assessing eating disorder education in U.S. medical schools: a qualitative content analysis of lecture slides.Eating and weight disorders : EWD · 2025Article
- Article
- Digital learning resource use among Swedish medical students: insights from a nationwide survey.BMC medical education · 2025Article
- Third-Party Resources: The New Wave of Medical Education.Medical science educator · 2025Article
- An Investigation of Second-Year Medical Students' Use of Outside Resources at Two Institutions.Medical science educator · 2025Article
- Misalignment of Biostatistics Content Between Licensing Exam Study Aids and Contemporary Medical Research.Family medicine · 2025Article
- The Impact of Students' Socio-economic Background, Study Habits, and Technology Access on Their Histology Learning Strategy During the COVID-19 Pandemic.Medical science educator · 2025Article
- Commercial Learning Platforms in UK Undergraduate Medical Education: A Qualitative Study of Benefits, Limitations, and Integration.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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
E-learning strategies have become an important part of biomedical education. However, why and how medical students select hardware tools and software formats during their preclinical education has not been sufficiently evaluated. These aspects should be considered when designing or offering new e-learning modalities to learners. Two medical school classes at a major US medical school were surveyed about their use of e-learning resources during their first year of medical school or their preparation for their first licensing examination (USMLE® Step 1), respectively. Their responses were analyzed for patterns and significant changes. Students' answers indicated that computers and tablets were considered the most important hardware devices to support students' learning. During the first year, students often preferred resources that were tailored to the specific courses in their curriculum. In contrast, some preferences changed when students prepared for the USMLE Step 1, with students shifting almost exclusively to a solitary learning strategy using commercial e-learning resources. Across all phases of medical school education queried, peer advice was the major determinant influencing e-learning resource selection with faculty only playing a minor role. Videos were the most popular e-learning modality, and students cited efficient acquisition of knowledge and preparation for examinations as major reasons for e-learning tool utilization. These factors should be considered when offering e-learning resources to medical students during different phases of their preclinical training.
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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.