Testing Self-Determination Theory in Conflict-Affected Areas: A Case Study of Yemeni EFL Students
Bibliographic record
Abstract
This study investigates the impact of Yemeni conflict on EFL students’ motivation from the new conceptualization of Self-Determination Theory. It particularly explores whether EFL students are more influenced by either autonomous or controlled motivation. Data were collected through the use of a questionnaire and interviews from English Department, College of Education, Zabid, Yemen. The Questionnaire was distributed to 60 male and female Yemeni EFL students. Interviews were conducted with five EFL teachers from the same department. The results of the data showed that conflict has negatively affected Yemeni EFL students. Findings also indicated that EFL students tend to be more controlled than to be autonomously motivated and that the students at levels 1 and 2 are more autonomously motivated as compared to those at levels 3 and 4. This showed that level 3 and 4 students have lost some of their idealism due to the seriously deteriorated situation in all the various aspects of life.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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 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".