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Record W7111523951

The Impact of Structured Practice on Fifth Grader’s Fraction Knowledge

2025· other· en· W7111523951 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFraction (chemistry)Multiplication (music)Concept learningProcedural knowledgeNumber lineContrast (vision)
DOInot available

Abstract

fetched live from OpenAlex

The present study investigated whether Grade 5 students, who are learning a procedure for a whole number by a fraction using repeated addition, would develop conceptual knowledge of fractions. The study aimed to answer three questions: 1 – Does practicing a procedure to multiply a whole number by a fraction through repeated addition result in acquiring greater procedural accuracy in fraction multiplication? 2 - Does practicing a procedure to multiply a whole number by a fraction through repeated addition result in greater conceptual knowledge? and 3 - Does self-explaining contribute to developing conceptual knowledge when practicing a procedure to multiply a whole number by a fraction through repeated addition? For this pretest-intervention-posttest study, 56 Grade 5 students were selected from two schools located in the greater Montreal area (two classes from each school) Three randomly-selected groups were created within each class. Two groups received instruction on how to use the procedure: one was prompted while the other was not. The third group explored geometry notions without receiving any instruction on fractions. As expected, the results demonstrate that after the 4-week intervention period, practicing exercises involving the multiplication of whole numbers by fractions enhanced procedural accuracy, whereas those who did not receive such instruction did not. In contrast to expectations, students' conceptual understanding of fraction magnitude was not enhanced by practicing a procedure for multiplying whole number by fractions. To clearly identify the mechanisms that would facilitate this transfer, more research is necessary.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.343
Teacher spread0.313 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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