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Record W2317249203 · doi:10.1515/mc-2012-0007

The cinematic art of teaching university mathematics: chalk talk as embodied practice

2012· article· en· W2317249203 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.

Bibliographic record

VenueMultimodal Communication · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsCarleton University
Fundersnot available
KeywordsEmbodied cognitionDisciplineRhetorical questionSituatedMathematics educationPedagogyMultimodalitySociologyPsychologyLinguisticsComputer scienceArtSocial scienceLiterature

Abstract

fetched live from OpenAlex

Abstract This article explores the multimodal nature of teaching university mathematics in international contexts. It focuses on the ‘cinematic’ art of teaching, applying a multimodal approach in the analysis of the pedagogical genre of ‘chalk talk’ as embodied disciplinary practice. The research draws on rhetorical genre studies and theories of situated learning and communities of practice. The data considered for the study consist of audio/video recorded lectures, observational notes, and semi-structured interviews collected from 50 participants teaching in 7 countries. Participants differ in linguistic, cultural, and educational backgrounds, teaching experience, and languages they use for instruction. The study suggests that a multimodal treatment of chalk talk as an embodied disciplinary pedagogical practice of teaching mathematics in the undergraduate lecture classroom allows researchers to further uncover the complexity of this genre. Better understanding the embodied pedagogical practices of the international mathematics CoP may lead to new insights regarding disciplinary-specific pedagogies.

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)0.011
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.085
GPT teacher head0.419
Teacher spread0.334 · 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