Flipped classroom: risultati di una sperimentazione condotta presso l'IIS Bosso-Monti di Torino
Bibliographic record
Abstract
Il presente contributo documenta la sperimentazione condotta presso un Istituto d’Istruzione Superiore di Torino. Vengono presentati il processo di innovazione didattica ispirato alla flipped classroom e la ricerca effettuata per valutarne gli esiti. Per quest’ultima è stato adottato un disegno di ricerca quasi-sperimentale che ha messo a confronto due classi, sperimentale e di controllo, analizzando le seguenti variabili: bisogni psicologici fondamentali e orientamento autonomo; obiettivi di apprendimento e pressione alla comprensione; autoefficacia; apprendimento autoregolato. I risultati evidenziando come nel confronto si siano riscontrate differenze significative sulle variabili analizzate. Gli esiti suggeriscono che la metodologia utilizzata potrebbe costituire un’innovazione efficace dell’ambiente di apprendimento scolastico.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.002 |
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".