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Record W4289530959 · doi:10.18860/rosikhun.v1i3.15233

Manajemen Pengembangan Kurikulum Berbasis Madrasah di MTs Ma’arif NU Kota Malang

2022· article· en· W4289530959 on OpenAlexaff
Eka Nursabila, Indah Ayu Nuraini

Bibliographic record

VenueAr-Rosikhun Jurnal Manajemen Pendidikan Islam · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCurriculumDocumentationMathematics educationPsychologyPedagogyEngineeringSociologyComputer science

Abstract

fetched live from OpenAlex

Curriculum development has a very crucial role in the education process, especially in the learning process. The achievement of learning depends on the management of curriculum development that carried out in each school. This study aims to determine the management of madrasa-based curriculum development that carried out at MTs Ma'arif NU Malang City. This research used descriptive qualitative method through interviews, observation, and documentation. The subjects studied were curriculum documents that had been developed, the subjects interviewed were the head of the madrasa, vice of curriculum, and teacher representatives. The results showed that the management of curriculum development at MTs Ma'arif NU Malang City includes planning, implementation, and evaluation. The implementation of the curriculum is carried out in macro and micro. Macro implementation by the curriculum development team, by the head of the madrasa and the vice of the curriculum to design selective programs such as aswaja deed and tahfidz programs. While the implementation of the micro curriculum is carried out by each subject teacher, which is the activity of developing the curriculum in the learning process. Starting from the lesson plans outlined in the RPP, the learning process using creative and varied learning methods, to the assessment process. Evaluation activities are carried out every mid-semester and are also carried out directly when the teacher is experiencing problems during the implementation process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.026
GPT teacher head0.328
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2022
Admission routes1
Has abstractyes

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