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Record W4415207109 · doi:10.70838/pemj.110904

Project AGIMaT (Activity, Games, and Interactive and Manipulative Toys) in Teaching Selected Topics in Mathematics 3

2023· article· en· W4415207109 on OpenAlex
Jeanne Paul S. Raymundo, Lavenia Almond De Leon

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePsychology and Education A Multidisciplinary Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsnot available
Fundersnot available
KeywordsMultiplication (music)Elementary mathematicsTest (biology)Quarter (Canadian coin)Division (mathematics)Mastery learning

Abstract

fetched live from OpenAlex

The researchers from Calero-Lanang Elementary School conducted a study to address the problem of incomplete mastery of several concepts in Mathematics experienced by the school for about three years. To address this, they devised "Project AGIMaT," which engaged learners in selected topics in Mathematics 3 using activity, games, interactive and manipulative toys. The study utilized a descriptive comparative design involving 32 Grade 3 pupils from Calero-Lanang Elementary School, and selected topics based on the least mastered skills reported within three years. Participants were subjected to the use of AGIMaT from the second quarter up to the third quarter, and the standard Quarterly Test was used for assessment. The study found that Project AGIMaT increased the mastery in Multiplication and Division and Dissimilar Fractions, with the mean percentage of mastery increasing from 71.15% to 81.51% and from 71.45% to 83.07%, respectively.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.438
Teacher spread0.375 · 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