Enhancing Learning through an Online Secondary School Educational Game
Bibliographic record
Abstract
This article consists of four sections: (1) the problems associated with asthma in the province of Québec and across Canada; (2) the theoretical framework for the learning enhanced by our online educational game entitled Asthme: 1,2,3 … Respirez! ( Asthma: 1,2,3 … Breath!), created by adapting the popular board game Parcheesi, and intended for students in a senior secondary school health education program (14 to 18 years old); (3) the methods employed, including a description of the educational game, the quasi-experimental research protocol, the sample, the variables being studied, the measurement instruments, the pilot study, the procedures, and the data analysis; and (4) the results of the study and discussion of the results. The results of the paired t-tests showed significant improvements in a variety of cognitive skills after students played the game on laptops in their classrooms for 40–60 minutes. No differences were found between males and females. These results are encouraging for teachers who wish to use educational digital games in their classrooms.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".