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Record W2965117957 · doi:10.5539/mas.v13n9p1

Analysis of Algebra Content in Mathematics Books in the Third Grade to the Fifth Grade in Jordan in Light of the Standards of the American National Council of Mathematics Teachers

2019· article· en· W2965117957 on OpenAlexvenueno aff
Hamzeh Ahmad Abd-Alrohman Alqiam

Bibliographic record

VenueModern Applied Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationContent analysisMathematicsAlgebra over a fieldComputer sciencePure mathematicsSociologySocial science

Abstract

fetched live from OpenAlex

This study aimed at analyzing the content of algebra in mathematics books in the third grade to the fifth grade in Jordan in light of the standards of the National Council of Mathematics Teachers (NCTM, 2000), In all aspects of the study for the academic year (2018/2019). The sample of the study included the axis of algebra in each book of this stage. To achieve this, the descriptive method was used through the method of content analysis. Lycartes averages. The highest scores in the third, fourth and fifth grade textbooks were for the criterion of analysis of change in different environments (1.84), while the lowest level of understanding of relations, patterns and functions was (0.90) And the use of mathematical models between these two grades. In light of these results, the researcher recommends that the criteria for the content of algebra should be considered in the basic stage books in the third, fourth and fifth grades.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.090
GPT teacher head0.343
Teacher spread0.254 · 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
Published2019
Admission routes1
Has abstractyes

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