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Record W4241208284 · doi:10.26711/007577152790002

Decimal Number System: Knowledge of Quebec Students Educated Under the 2001 and 1981 Programs and Teaching Situations

2017· article· en· W4241208284 on OpenAlexaffabout
Jeanne Koudogbo

Bibliographic record

VenueJournal of Mathematics Education · 2017
Typearticle
Languageen
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsDecimalMathematics educationComputer scienceMedical educationPsychologyMathematicsArithmeticMedicine

Abstract

fetched live from OpenAlex

Although several scholars have studied the system, it was mostly the studies carried out in the 80s-90s that brought out its complexity and also the difficulties students encounter with its learning. In some of them, the scholars saw the students' difficulties through the prism of the earlier program's behaviourist and objective foundation structure. However, the current curriculum in Quebec, based on social constructivism and structured according to competences is a departure from the past. In this context, this study, inspired by a doctoral dissertation, is intended to explore the strategies and knowledge in solving tasks on the DNS of 154 third grade students from six schools as well as teaching situations in two classes, more than 30 years after the studies were carried out in Quebec. The main data collected for the study included audio interviews with 18 students, a questionnaire (n=154), videotape of lessons and documentation. First, we outlined the strategies and knowledge of pupils on the DNS as well as teaching situations, and then we compared them with earlier studies as well as the current program's competence-based structuring. We also discussed the scope of the task and class effects. We used the DNS frame of reference and the Theory of didactical situations for the analyses.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.070
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.047
GPT teacher head0.390
Teacher spread0.342 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2017
Admission routes2
Has abstractyes

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