Iranian EFL Students’ Emotional Intelligence and Autonomy in Distance Education
Bibliographic record
Abstract
<p>The present study aimed to clarify EFL learners’ conceptions of autonomy and whether their autonomy was correlated with their emotional intelligence. The research was carried out with the participation of 110 learners at Distance Education University in Urmia, Iran. Questionnaires were emailed to the participants. Results of statistical analyses revealed substantial correlations between learners’ conceptions of autonomy and their emotional intelligence. ‘Independence’, ‘Stress Tolerance’, ‘Problem- Solving’, ‘Happiness’, ‘Self-actualization’, ‘Self-awareness’, ‘Optimism’, ‘Self-regard’, ‘Empathy,’ and ‘Impulse Control’ became the most determining elements of emotional intelligence (EI) for learners. Overall, the findings led the researcher to conclude that learners’ EI is a key factor influencing the extent to which they are ready to learn autonomously, and that teachers could therefore strive to ascertain learners’ intelligence type before they train them to become autonomous.</p>
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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 | 0.001 | 0.000 |
| 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) | 0.001 | 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".