The Importance of the Application of the Metaverse in Education
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Full frame distilled prediction
Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Theoretical or conceptualConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.528
- Threshold uncertainty score
- 0.645
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.247 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
In the early 90's, and especially in some American universities, with the emergence of virtual reality, virtual environments and their manipulation began to be implemented, achieving important advances that have led to improvements in research through changes in the perception of the subject, modeling, communication processes and the development of 3D virtual classrooms. These advances have led to the metaverse, as an environment where humans interact socially as avatars, and especially its application in the world of education in the fields of entertainment, tele-education, educational research, learning environments, etc. According to technologists, this year will separate the thinkers from the builders, and then the technical advances of the last few years will produce the first steps this year in making the metaverse a reality. Advances will largely be attributed to ever-better graphics processing units (GPUs), photorealistic 3D engines, faster content generation through volumetric video and artificial intelligence, the increasing prevalence of cloud computing and 5G, as well as a more sophisticated and better understood blockchain infrastructure. But from a human experience perspective, one development stands out above all others: extended reality (XR) technologies. These include virtual reality (VR), augmented reality (AR) and brain-computer interfaces (BCI), which together are positioned as the next computing platforms in their own right.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Modern Applied Science
- Topic
- Virtual Reality Applications and Impacts
- Field
- Computer Science
- Canadian institutions
- not available
- Funders
- Universidad San Pablo - CEU
- Keywords
- MetaverseComputer scienceVirtual realityAugmented realityEntertainmentPerspective (graphical)Human–computer interactionPerceptionGraphicsMixed realityMultimediaSubject (documents)Virtual worldWorld Wide WebComputer graphics (images)Artificial intelligencePsychologyVisual arts
- Has abstract in OpenAlex
- yes