ArticleFASEB bioAdvances2021
Making virtual learning engaging and interactive.
Article in FASEB bioAdvances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Transformative Learning in Digital Bioethics Education: An Interdisciplinary Lecture Series on Human-Animal Relationships.Animals : an open access journal from MDPI · 2025Article
- Development of an Online Nursing Leadership Program for Global Health in the Western Pacific Region.Acta medica Philippina · 2024Article
- Comparing Virtual and In-Person Implementation of a School-Based Sexual Health Promotion Program in High Schools with Large Latino Populations.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Teaching Cellular Architecture: The Global Status of Histology Education.Advances in experimental medicine and biology · 2023Article
- The Use of 2 e-Learning Modalities for Diabetes Education Using Facebook in 2 Cities of Argentina During the COVID-19 Pandemic: Qualitative Study.JMIR formative research · 2022Article
- Virtual conference design: features and obstacles.Multimedia tools and applications · 2022Article
- Asynchronous Delivery of a 400 Level, Partially Peer-Graded, Oral Presentation and Discussion Course in Systems Neuroscience for 60 Students during the COVID-19 Pandemic.Brain sciences · 2021Article
- Impact of Synchronous and Asynchronous Settings of Online Teaching and Learning in Higher Education on Students' Learning Experience During COVID-19.Frontiers in psychology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article provides practical perspective and guidance for transitioning from in-person to virtual learning. Student engagement is emphasized through providing synchronous and highly interactive virtual learning sessions. This approach not only improves student outcomes related to class, but also is related to strong student mental health. Technological considerations are explored surrounding how to select a video conferencing platform that will enable engagement. Key functionality recommended includes the ability to share audio and video of both instructor and students, virtual hand raising and other signaling capabilities, hosting of small group discussions within the larger class, concurrent chat capabilities, and the crowd-sourcing of questions. The implications of this functionality from a learning perspective are discussed. Empathy and flexibility in accommodating diverse and evolving student scenarios is also discussed. The importance of setting norms and expectations provides a foundation for the class, both during class sessions as well as in providing a framework within which students conceptualize group work. This article ends by looking ahead at near-term implications of teaching during a global pandemic.
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.