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Record W1908111744 · doi:10.21432/t2pg7p

Learning Designs using Flipped Classroom Instruction | Conception d’apprentissage à l’aide de l’instruction en classe inversée

2015· article· en· W1908111744 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFlipped classroomMathematics educationPsychologyPedagogy

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.069
GPT teacher head0.338
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it