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Record W6958045056 · doi:10.60692/d5npb-1pe77

Project Tutok 3Rs (Reading, Writing, Arithmetic) in Maybancal Elementary School

2024· article· en· W6958045056 on OpenAlexaboutno aff

Bibliographic record

VenueGreater South Information System · 2024
Typearticle
Languageen
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionSample (material)Tracking (education)Intervention (counseling)Significant differenceQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate and determine the effectiveness of Project Tutok 3Rs (Reading, Writing, Arithmetic) in improving the performance of grade 4 learners and teacher's perception in Maybancal Elementary School and SPED Center. This study used quantitative types of research to determine the performance of the learners after the implementation of intervention and tested the significant difference before and after the implementation. This is also a 1ualitative type of research for this determined the perception of the learners after the implementation of intervention and had tested the significant difference on the perception before and after the implementation. The respondents of the study were the Grade 4 learners in Maybancal Elementary School and Sped Center. The study was conducted during the Third Quarter of the school year 2021-2022. Tracking the findings, based from the result on Mean and Paired Sample T-test, the study found that Project Tutok 3Rs increased the performance of the learners where the mean percentage of 82% increased to 90%. It was concluded that in Maybancal Elementary School, Project Tutok 3Rs has a great impact in the improvement of learner's performances in the school.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.094
GPT teacher head0.334
Teacher spread0.240 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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