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Record W2151565877 · doi:10.5539/ies.v7n9p1

The Association of Intended and Attained Curriculum in Science with Program for International Students Assessment

2014· article· en· W2151565877 on OpenAlexvenueno aff
Emine Çìl, Salih Çepni

Bibliographic record

VenueInternational Education Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Assessment and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishCurriculumMathematics educationCognitive developmentContext (archaeology)PsychologyCognitionCurriculum developmentScience educationAchievement testPedagogyInternational educationStandardized testHigher educationPolitical science

Abstract

fetched live from OpenAlex

International examination results have already influenced many countries to make radical reforms in education system. According to these results countries have been categorized as high, middle and low achievement in education. Turkey has also taken these results into consideration quite seriously and started to investigate to what extent there are similarities among the nationwide examination questions and the international examination questions. This paper presents the findings obtained from the analysis of intended and attained curriculum in Turkish science context. Secondly, the paper analyses Level Determination Examination science questions according to Piaget cognitive development theory. Finally, the paper discusses the differences and similarities between the science questions in Level Determination Examination and Program for International Students Assessment. The results reveal that most Turkish students could not attain learning outcomes in intended curriculum. Level Determination Examination science questions are usually compatible with formal operational abilities of Piaget’s theory of cognitive development and they are highly similar with the questions of Program for International Students Assessment.

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)0.003
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 score0.267
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
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 head0.038
GPT teacher head0.527
Teacher spread0.489 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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