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Unpacking Mathematical Literacy Teachers' understanding of the concept of inflation

2011· article· en· W2286689416 on OpenAlexaboutno aff
Sarah Bansilal

Bibliographic record

VenueAfrican Journal of Research in Mathematics Science and Technology Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationObject (grammar)Inflation (cosmology)UnpackingCertificateGrade inflationProcess (computing)Quarter (Canadian coin)LiteracyPsychologyPedagogyHigher educationComputer scienceEconomicsLinguistics

Abstract

fetched live from OpenAlex

This article reports on a study carried out with a group of 83 Mathematical Literacy teachers who were enrolled for an Advanced Certificate in Education programme at a South African university. The purpose of this study was to explore the Teachers' conceptions of the inflation rate. Data for the study was generated from the Teachers' responses to specific test items that formed part of their classroom assessment. The study was interpretative in nature, utilizing a document analysis of the Teachers' written responses. The analytic framework was drawn from Sfard's process-object understanding theory. The findings reveal varying levels of engagement with the concept. One quarter of the teachers were able to move easily between using the inflation rate signifier both as a process and as an object, another quarter of the teachers were able to access a process understanding of the inflation rate concept but struggled to use the inflation rate signifier as an object. Two other groups of teachers displayed fundamental problems with the process-object duality of the concept of percentage, which limited their use of the inflation rate signifier.

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 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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.004
Scholarly communication0.0000.000
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 head0.156
GPT teacher head0.452
Teacher spread0.296 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2011
Admission routes1
Has abstractyes

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