Motivators for Demotivators Affecting English Language Acquisition of Saudi Preparatory Year Program Students
Bibliographic record
Abstract
This study aims at investigating the demotivating factors that discourage Preparatory Year Program (PYP) students from learning the English language. It also proposes and tests the effectiveness of a set of academic and administrative approaches on enhancing English language acquisition of 102 Saudi PYP Students taking an EFL summer course in the Deanship of Educational Services, Qassim University. The quantitative and qualitative data were collected by means of questionnaire, analysis of test scores, classroom observation, teachers’ feedback and informal interviews with students. The findings specified nine significant extrinsic demotivators affecting Saudi students’ EFL learning where a set of practical strategies were implemented to remotivate students and help them learn English better. On top of these strategies came reduction of class size, weekly quizzes and extracurricular activities. The results of the research indicated that the proposed strategies were very successful in restoring PYP students’ motivation, increasing the amount of their learning, developing teachers’ promptness and establishing good rapport between students and teachers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".