Learning Designs using Flipped Classroom Instruction | Conception d’apprentissage à l’aide de l’instruction en classe inversée
Bibliographic record
Abstract
The flipped classroom is an instructional model that leverages technology-enhanced instruction outside of class time in order to maximize student engagement and learning during class time. As part of an action research study, the authors synthesize reflections about three learning designs and how the flipped classroom model can support teaching, learning and assessment through: (1) guided collaborative discussion, (2) tabletop white boarding and (3) the development of augmented reality auras. Principles for teaching effectiveness are used as a lens to guide the reflection on the benefits and challenges with each of the learning designs. Findings suggest that flipped classroom models that emphasize collaborative learning, group work and accessibility can enable and support inquiry-based learning. Recommendations are provided for educators interested in designing learning using a flipped classroom instructional model, as well as suggestions for future action research agendas. La classe inversée est un modèle pédagogique qui met à profit l’apprentissage hors des heures en classe et qui est rehaussé par la technologie pour maximiser l’engagement et l’apprentissage des apprenants en classe. Dans le cadre de cette étude de recherche-action, les auteurs résument les réflexions sur la façon dont le modèle de la classe inversée peut appuyer l’enseignement, l’apprentissage et l’évaluation par la mise en œuvre de trois conceptions d’apprentissage par investigation : 1) discussion collaborative guidée, 2) tableau blanc de table et 3) développement d’auras en réalité augmentée. Les principes d’enseignement de l’efficacité sont utilisés comme optique guidant la réflexion sur les avantages et les défis de chacune des conceptions d’apprentissage. Les conclusions suggèrent que les modèles de classes inversées qui mettent l’accent sur l’apprentissage collaboratif, le travail en groupe et l’accessibilité peuvent permettre et appuyer l’apprentissage par investigation. Des recommandations sont fournies pour les éducateurs qui s’intéressent à la conception pédagogique à l’aide d’un modèle de classe inversée, ainsi que des suggestions pour la recherche-action future.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".