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Record W2494560240 · doi:10.5539/ies.v9n8p112

Comparative Study of Physics Curriculum in Iran with Several Other Countries

2016· article· en· W2494560240 on OpenAlexvenueno aff
Ashrafoalsadat Shekarbaghani

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumMathematics educationClass (philosophy)Curriculum developmentPhysicsPedagogyPsychologyComputer science

Abstract

fetched live from OpenAlex

<p class="apa">This article is a qualitative study, which was done in 2013-2014. In this study using a comparative study was conducted to compare physics curriculum elements of Iran with the countries studied. Countries studied: Singapore, Turkey, India, England and Australia have diverse educational system. In this study, the structure of the educational system, the physics curriculum, teaching methods, students' achievement evaluation methods were studied and compared. The aim of the research was to identify the Features of the physics curriculum in Iran. In some cases, similarities and differences were observed. From the major problems in the physics curriculum of Iran is many number of books is more than in other countries. And time teaching physics Iranian schools is less than in other countries, While the content of physics books of Iranian schools from all countries studied is further and to do physics experiments in Iranian schools are of less importance. Iran evaluation system is the traditional way and held for final evaluation. The results can help to educational planners and authors of physics textbooks for perform more accurate and more comprehensive correction to the physics curriculum.</p>

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.087
GPT teacher head0.448
Teacher spread0.360 · 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 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

Citations3
Published2016
Admission routes1
Has abstractyes

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