Virtual Reality (VR) as a Source for Self-Efficacy in Teacher Training
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The current study sought to explore the experiences of pre-service student teachers in a teaching unit in VR within a special course framework which was intended to enhance student-teacher's 21st century skills and growth processes. In particular, how their experiences working with VR affected their self-efficacy. The research population comprised of 176 students studying in their second of a four years training course to become teachers in the K-12 educational system. The main research question was: Do teaching approaches employing VR effect student teachers’ self-efficacy, interests, and creativity? If so, what are these effects? How does collaboration in VR classroom foster learners’ social integration? The main findings of this study showed that using VR learning environments with student teachers helped them increase their self-efficacy and allowed them to be more innovative and creative. VR challenges learners with active teaching and learning, making student teachers active participants who create and innovate.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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