Immersive Mindfulness: Adolescents’ Meditation Experiences in Maloka VR
Bibliographic record
Abstract
Virtual Reality (VR) meditation offers promising solutions to address declining attention spans and enhance cognitive functioning in adolescents. This study evaluates the effectiveness of immersive VR interventions in improving adolescents’ ability to focus their attention. Using the Maloka VR application, participants demonstrated increased focus, engagement, and relaxation after brief meditation sessions. The immersive meditation experience facilitated mindfulness and body awareness, which are essential components for enhancing focus, particularly for individuals with attention-deficit hyperactivity disorder (ADHD). Importantly, findings from this study will inform the development of scalable, school-based VR meditation programs designed to support student well-being, attention training, and self-regulation. By integrating VR meditation into existing wellness initiatives—such as Zen rooms and mental health programming—schools can offer innovative tools to help students manage stress, improve focus, and prepare for cognitively demanding tasks. Future research should explore long-term effects, optimal implementation strategies, and inclusive design principles to ensure equitable access to VR meditation interventions across diverse educational settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".