Female Arab EFL Students Learning Autonomously Beyond the Language Classroom
Bibliographic record
Abstract
Benson’s (2011a; 2011b) identification of out-of-class learning as constituted by contexts, resources, levels of formality and more and less intentional pedagogic outcomes was used as a framework to investigate a group of tertiary level female Emirati EFL students’ autonomous out-of-class learning experiences. Data collected via a survey, learner journals and semi-structured interviews indicated that out-of-class use of English and out-of-class language learning played a significant role in the lives of students beyond the classroom. These students utilised naturally occurring material resources, in particular movies, television, the Internet and digital and print texts, with varying levels of pedagogic intentionality, in the privacy of homes and perceived such resources as conducive to facilitating language learning. Students created and utilised self-directed naturalistic learning opportunities more than self-instruction and naturalistic learning. The study found that exercising choice and being intrinsically motivated were integral to autonomous out-of-class learning. Discursive resources were influential in enabling or constraining recognition and utilisation of social resources in creating learning opportunities. The paper ends by giving recommendations to educators for creating effective support for autonomous out-of-class language learning.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".