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Record W3107365635 · doi:10.5539/elt.v13n12p27

Religious Education in the Arab World: Saudi Arabia, Sudan and Egypt as Models

2020· article· en· W3107365635 on OpenAlexvenueno aff
Mona Taha Muhammad Omar

Bibliographic record

VenueEnglish Language Teaching · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamReligious educationOppressionPsychologyIslamic cultureSocial scienceSociologyPedagogyPolitical scienceLawTheology

Abstract

fetched live from OpenAlex

The study explored religious education (RE), Islamic and Christian, in the Arab world and its role in qualifying students to university education, taking Saudi Arabia, Sudan and Egypt as models. A controversy about the validity of RE as a bridge to university education in the Arab world provided the impetus to carry out the present study. Using the descriptive analytical method, the author studied the reality of RE with its different types in the selected countries and the extent to which these experiences are successful. The results revealed that the three RE experiences are successful. RE was found to have many educational and behavioral effects, e.g., elimination of religious extremism, alleviation of oppression experienced by religious minorities and acquisition of good behavior. It also proved to furnish students with many important skills such as co-existence and respect for others. Students of religious schools in the three countries were found to achieve good results that qualified them to all branches of knowledge, applied and theoretical, in university education. They even excelled their counterparts in general education schools. Recommendations and suggestions for further research are offered.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.316
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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
Published2020
Admission routes1
Has abstractyes

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