ReviewVisual computing for industry, biomedicine, and art2025
Avatars in the educational metaverse.
Review in Visual computing for industry, biomedicine, and art, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Governing Patient-Facing AI-Generated Video in Digital Health: A Risk-and-Ethics Matrix for Deployment, Monitoring, and Change Control.Journal of medical Internet research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Avatars in the educational metaverse are revolutionizing the learning process by providing interactive and effective learning experiences. These avatars enable students to engage in realistic scenarios, work in groups, and develop essential skills using adaptive and intelligent technologies. The purpose of this review is to evaluate the contribution of avatars to education. It investigated the use of avatars to enhance learning by offering individualized experiences and supporting collaborative group activities in virtual environments. It also analyzed the recent progress in artificial intelligence, especially natural language processing and generative models, which have significantly improved avatar capabilities. In addition, it reviewed their use in customized learning, contextual teaching, and virtual simulations to improve student participation and achievement. This study also highlighted issues impacting its implementation, including data security, ethical concerns, and limited infrastructure. The paper ends with implications and recommendations for future research in this field.
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.