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Record W4406780905 · doi:10.5430/wjel.v15n3p277

Differentiated Instruction in a Public Junior High School: EFL Teachers’ Perception and Practices

2025· article· en· W4406780905 on OpenAlexvenueno aff
A. Padauleng, Amirullah Abduh, Samtidar Samtidar, Abu Muslim, Mujizatullah Mujizatullah, Abd. Kadir Massoweang, M. Ridwan, Besse Darmawati, Achmad Rosidi

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
FundersBadan Riset dan Inovasi Nasional
KeywordsPerceptionMathematics educationComputer sciencePsychologyPedagogy

Abstract

fetched live from OpenAlex

This qualitative case study was conducted in one of public junior high school in South Sulawesi, Indonesia. The study was aimed to explore the English teachers’ practices in differentiated instruction (DI) and their perception toward the curriculum policy. The data were collected through open-ended questionnaire and interview. The participants were EFL teachers who have implemented DI. The data were analyzed using thematic analysis. The findings elucidate English teachers' implementation, revealing three overarching themes: planning, implementation, and evaluation. In the planning phase, identification, curriculum analysis, and preparation emerged as crucial aspects. The implementation stage highlighted variations in teaching materials, guidance provision, and variation in evaluation. Evaluation encompassed assessment processes, learning outcomes, and reflective practices. The second result showed the teachers’ misconception regarding the implementation of DI, namely, chaos class and concern about fairness. The teachers found the challenges in implementing DI, namely determine assessment, class management and need extra time to allocate the DI. However, the implementation of DI gave the advantages in learning English, such as students’ engagement, understanding in learning and building inclusive environment. For the better quality of DI, the teachers need several supports from the policy makers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.261
Teacher spread0.244 · 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 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

Citations2
Published2025
Admission routes1
Has abstractyes

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