Teachers’ and Students’ Attitudes towards L1 Use in EFL Classrooms in the Contexts of Bangladesh and Saudi Arabia
Bibliographic record
Abstract
The role of a mother tongue (L1) in the teaching and learning of a foreign language (FL) has been the subject of much debate and controversy. This paper reports on a piece of research carried out in our own teaching environments (at universities both in Bangladesh and Saudi Arabia) and presents an analysis of the attitudes of students and teachers towards the use of learners’ mother tongue (in this case Bengali and Arabic) in English language classrooms at the tertiary level where English is taught as a non-major subject. For the study, two surveys with the same questionnaires were conducted in two universities each from Bangladesh and the Kingdom of Saudi Arabia (KSA) with the participation of 1000 students and 30 teachers. Results suggest that a judicious and moderate use of L1 does not hinder learning; rather, it assists, aids and facilitates the teaching and learning process thus providing the teacher with an effective pedagogical tool for maximizing the learning outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".