E-baby skin integrity: evidence-based technology innovation for teaching in neonatal nursing
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
Abstract Objective: To develop and validate the serious game e-Baby: skin integrity along with a panel of experts. Method: Methodological research approaching the following development steps: scope definition, game format and functions, script and communication with software developers, creation of prototype with evaluation and production; and validation by four experts using the tool Heuristic Evaluation for Digital Educational Game. Results: The serious game was built in a 3D technology with multimedia including animation and scientific-based content. The educational technology was validated by the experts in all heuristics, and among the all 36 analyzed items. 18 (50%) presented no errors, and regarding the remaining items with any error, none had more than 25% errors within levels 3 and 4, according to Nielsen's classification. Conclusion and implications for the practice: The validated serious game is a virtual simulation educational technology with potential to contribute with learning in nursing and with evidence-based clinical practice.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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