Islamic Self-Identity Formation Through Language Learning: A Study of Religious Secondary School Students in Malaysia
Bibliographic record
Abstract
Self-identity formation becomes increasingly challenging for students as they are exposed to different norms in the school environment. Education, language, and religion are crucial in the process of self-identity formation. Therefore, this study aims to explore how English language learning and the school environment influence Islamic self-identity formation among students in selected religious secondary schools in Terengganu, Malaysia. The study employed a qualitative approach in which 90 religious secondary school students in the State of Terengganu were selected using a purposive sampling technique. Focus group interviews were used as a data-gathering instrument. The students were divided across different sessions to ease the process of data collection. The data were transcribed and analyzed using inductive thematic analysis. The study found that English language learning does not influence the students’ Islamic self-identity formation negatively. Instead, certain morals such as respect, self-esteem, and cooperation, are instilled in the students’ self-identity. This study provides evidence on the students’ ability to construct Islamic self-identity despite the challenges of second language learning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".