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Record W3081969106 · doi:10.5539/jpl.v13n3p196

Application of Outcome-Based Curriculum in Religious Studies: The Case of Madrasas in Sri Lanka

2020· article· en· W3081969106 on OpenAlexvenueno aff
M. I. M. Jazeel

Bibliographic record

VenueJournal of Politics and Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRespondentSri lankaCurriculumCriticismRelevance (law)Outcome (game theory)IslamMedical educationPolitical scienceOutcome-based educationMinor (academic)SociologyPedagogyMedicineGeographySocioeconomicsLaw

Abstract

fetched live from OpenAlex

The madrasah tradition is widely recognized by Muslims in Sri Lanka for its historical contribution to their education. However, the criticism is aimed at the quality of madrasah education, and relevance of madrasah studies to the community needs and its national development in Sri Lanka. The outcome-based Education is proposed as an approach to increase its quality of education and to target the national aspirations and benefits. This paper aims at examining OBE application in madrasah studies. The study is based on analyzed data from 98 responded madrasas to the survey and review of the related literatures and documentary review of curriculum of the respondent madrasas. The findings show that the outcome-based curricula have not been in place in majority of the madrasas. However, it is in the initial proposing stage in some of the madrasas, studies of which base on the integrated system of education. The vast majority madrasas need to outline their aims and objectives of studies to identify the set of competencies intended for the graduates. This study is an academic discourse on long lasting Islamic traditional education system.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.042
GPT teacher head0.382
Teacher spread0.340 · 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

Citations7
Published2020
Admission routes1
Has abstractyes

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