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Record W4414086762 · doi:10.58812/esle.v3i01.498

A Bibliometric Review of Islamic Pedagogy in Modern Educational Systems

2025· article· en· W4414086762 on OpenAlexaboutno aff
Loso Judijanto, Desri Arwen

Bibliographic record

VenueThe Eastasouth Journal of Learning and Educations · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamMulticulturalismSociocultural evolutionIslamic cultureIslamic studiesHigher educationIslamic education

Abstract

fetched live from OpenAlex

This study provides a comprehensive bibliometric review of Islamic pedagogy within modern educational systems. Through an analysis of key themes, authors, and regional trends, the research aims to map the evolving landscape of Islamic pedagogy and its intersection with contemporary educational theories and practices. The bibliometric approach identifies significant shifts in the literature, particularly the integration of sociocultural theory, the moral dimensions of education, and the role of Muslim educators in implementing Islamic educational principles. The findings reveal growing interest in the application of Islamic pedagogy in diverse geographical regions, including Indonesia, Australia, Canada, and the UAE, with a notable emphasis on adapting traditional Islamic educational practices to modern technological and multicultural contexts. The study highlights the ongoing challenges of balancing Islamic values with global educational standards and offers directions for future research, particularly in the areas of gender, multiculturalism, and the integration of technology. This review contributes to the growing body of knowledge on Islamic education and provides insights for educators, policymakers, and researchers interested in the development of Islamic pedagogy in contemporary settings.

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)0.003
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: none
Teacher disagreement score0.504
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.011
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 head0.035
GPT teacher head0.420
Teacher spread0.385 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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