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Record W2801486835 · doi:10.5539/ies.v11n5p110

Trends of the Arabic Research on the Nature of Science

2018· article· en· W2801486835 on OpenAlexvenueno aff
Suad Alhamlan, Haya Aljasser, Asma Almajed, Sozan Hussain Omar

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistArabicCurriculumGovernment (linguistics)Mathematics educationSemitic languagesContent analysisDescriptive statisticsSample (material)Teaching methodQualitative researchPsychologyComputer scienceSociologyPedagogySocial scienceMathematicsLinguistics

Abstract

fetched live from OpenAlex

The paper investigates the trends of the Arabic research with the emphasis on the nature of science. Hence, a descriptive analytical approach, both qualitative and quantitative forms, was used to explore 42 online journals and articles. The research sample was defined by online journals and articles cover the question of the Nature of Science (NOS) in the Arabic setting. The data collection tool has implemented a content analysis checklist that contains three sections the fields of study section, the subjects of each field, as well as methods and procedures. The results taken from the data analysis have shown that most Arabic researchers focus on the curriculum, teaching and learning environments and their improvement, the use of new teaching methods, students’ understanding of NOS, as well as teacher’s knowledge and teaching strategies. Also, many researchers have used descriptive methods and techniques. The research findings suggest that Arabic NOS has been done by teaching science through education. The paper provides recommendations to ensure greater government involvement in establishing science centers that attract graduating students in science learning and relevant projects.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.007
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 head0.208
GPT teacher head0.569
Teacher spread0.361 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2018
Admission routes1
Has abstractyes

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