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Record W4410188000 · doi:10.21154/sajiem.v6i1.357

Perubahan dan Inovasi Kurikulum Pendidikan di Berbagai Negara

2025· article· en· W4410188000 on OpenAlexaboutno aff
Indra Wahyuni Firli Fangestu, Siti Marfuah, Bahrissalim, Fauzan Fauzan

Bibliographic record

VenueSoutheast Asian Journal of Islamic Education Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEducation Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Changes and innovations in the educational curriculum are very important elements in answering the challenges of the times that continue to develop. The curriculum innovation process carried out in various countries, including Indonesia, reflects efforts to accommodate new needs in the world of education. This article examines changes and innovations in the educational curriculum with a focus on key findings obtained from research in Indonesia and Indonesia and other countries such as; Malaysia, Finland, Singapore, Canada, Australia, China, and the United States through the library research method, this study analyzed various previous studies, including journals, books, and related articles. The purpose of this study is to examine changes and innovations in the educational curriculum with a focus on the factors driving these changes and the challenges faced in their implementation. The results of the study show that curriculum changes and innovations are triggered by several key factors: 1) technological advances that affect learning methods, 2) job market demands and economic changes that demand new skills, and 3) socio-cultural changes that encourage the adjustment of teaching materials. Although various countries have innovated curricula according to local needs, significant challenges remain, namely: 1) teachers' readiness to implement the new curriculum, 2) the availability of resources that support the learning process, 3) resistance to existing changes, and 4) the lack of a comprehensive evaluation of the effectiveness of previous curricula. These findings highlight the importance of collaborative strategies to address these challenges to support the success of curriculum innovation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.008
GPT teacher head0.249
Teacher spread0.241 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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