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Record W6962549413 · doi:10.18415/ijmmu.v10i1.4378

The Effect of the Number Dice Game on the Logical-Mathematical Intelligence in Children 5-6 Years Old

2023· article· en· W6962549413 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

VenueInternational Journal of Multicultural and Multireligious Understanding · 2023
Typearticle
Languageen
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsDiceNonprobability samplingChecklistData collectionSampling (signal processing)Significant difference

Abstract

fetched live from OpenAlex

This study aims to determine the effect of the number dice game on the logical-mathematical intelligence in children 5-6 years old. This study used a quantitative pre-experiment design method with one group pretest-posttest type. The sampling technique was purposive sampling, which consisted of 17 children. The data collection technique used the checklist observation sheet on the development of the ability to recognize number concepts. Then, the data is processed by t-test. The results showed that there was an average increase in children's ability to recognize the concept of numbers after being given a number dice game. The results of hypothesis testing also prove that t count is greater than t table. This means, that there is a significant difference between the pre-test and post-test in the experimental group. So, it can be said that the number dice game has an effect on the logical-mathematical intelligence in children 5-6 years old.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.029
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
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 head0.073
GPT teacher head0.370
Teacher spread0.297 · 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