Project-based Learning with Demonstration through the Metaverse to Promote Media Production Skills and Multimedia Innovations
Bibliographic record
Abstract
This research employed a Research and Development (R&D) approach to investigate the integration of Project-based Learning (PBL) with Demonstration through the Metaverse to promote Media Production Skills and Multimedia Innovation. The study's objectives were to synthesize, design, develop, and evaluate this integrated learning system. Expert evaluations confirmed the high suitability of the overall design (Mean = 4.77, S.D. = 0.43) and its components at the highest level. Similarly, the quality of the developed learning system was assessed as being at the highest level (Overall Mean = 4.70, S.D. = 0.37). Furthermore, student assessment results were at a very good level, showing an average score of (84.50 percent) for media production skills and (85.80 percent) for multimedia innovations. These findings affirm that the integrated PBL system with demonstration through the Metaverse provides a highly suitable and effective guideline for developing learning to enhance media creation skills and multimedia innovation in learners.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".