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Record W3210025409 · doi:10.52006/main.v4i3.396

Algebraic Skills and Academic Achievement in Mathematics of Grade 7 Students in a Philippine Chinese School

2021· article· en· W3210025409 on OpenAlexaboutno aff
Nery S. Garinganao, Francis Jose D. Bearneza

Bibliographic record

VenuePhilippine Social Science Journal · 2021
Typearticle
Languageen
FieldComputer Science
TopicOnline Learning and Analytics
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationQuarter (Canadian coin)Academic achievementSignificant differenceMathematicsStatistics

Abstract

fetched live from OpenAlex

Mathematics achievement is an essential part of a student's academic achievement. However, teaching and learning mathematics is a significant concern in education, especially in distance learning. This paper described the algebraic skill level and academic achievement in mathematics of Grade 7 students of a Chinese high school. Also, it determined the difference in their level of algebraic skills according to learning modality. It determined whether a significant relationship exists between algebraic skills and academic achievement. Using the researcher-made questionnaire and students' secondary data (average grade from the first quarter to the fourth quarter in Mathematics), mean, standard deviation, Kruskal-Wallis, and Spearman's rho were used. Results reveal that the level of algebraic skills were average while academic achievement levels were approaching proficient. No significant difference was found in their algebraic skills level according to learning modality. However, the significant low relationship was found between the students’ level of algebraic skills and academic achievement.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.014
GPT teacher head0.344
Teacher spread0.330 · 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 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

Citations5
Published2021
Admission routes1
Has abstractyes

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