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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 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.

venuePublished in a venue whose home country is Canada.
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

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.

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)0.009
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
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 head0.090
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