Integration of Literature in English Language Teaching: Learners’ Attitudes and Opinions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Speaking of the role and position of literature in language teaching platforms, generally, two opposite views are in action, namely essentialist and non-essentialist. However, numerous studies have stressed the influential role of literature. This study investigated the opinions and preferences of EFL university students on the integration of literature in English language learning. To do so, a mixed-method research design was utilized in which data were collected quantitively through a 12 items questionnaire and qualitatively using five open-ended questions. The quantitative data were analysed using SPSS, whereas descriptions were used to analyse the qualitative data. For the quantitative part, 30 EFL students and for the qualitative phase, 10 EFL students participated. The findings indicated that students consider literature as a significant tool for learning English language and enhancing the four main language skills. It is also discovered that students find literary texts to develop awareness of cultural knowledge, which is inseparable in learning a second language. In a nutshell, the findings discovered that students showed positive attitudes toward using literature in learning English as a foreign language.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it