Attitude towards and Perception of Literature in EFL Setting: A Case Study on QU Male Undergraduate Students
Bibliographic record
Abstract
The study attempts to investigate the attitude and perception of Saudi undergraduate students towards English literature courses as a part of their BA English Program at a large public university in KSA. A total of 59 students (25 studying a literature course, 25 linguistics course and nine had already passed at least one literature course) participated in the study. Applying mixed method research design, questionnaires were used to collect quantitative data and retrospective essays were used for qualitative data. A modified version of AMTB developed by Gardner and associates was used to measure students' attitude towards literature courses. The results of study show that the participants have positive attitude towards literature courses. The findings also suggest that learners’ social environment (family, friends, classmates, teachers…etc.) significantly contribute in constructing positive attitudes and enhancing their perception towards literature as medium of learning L2. The study has pedagogical implication too. Policy makers (administrator, curriculum developers, and teachers) need to accommodate learners’ voices in the selection of teaching material.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 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".