Challenges to Effective English Teaching in Primary Schools in Buraydah, Saudi Arabia: Perspectives of English Teachers
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
Despite extensive efforts to improve the quality of English language teaching, Saudi students in the local primary schools have a poor level of proficiency in English. Hence, this study aims to examine the barriers to effective English teaching from the perspectives of teachers in the primary schools in Burydah primary schools in Saudi Arabia. 50 teachers in primary schools in Saudi Arabia were recruited through convenience sampling. The study recruited teachers from Buryadah, a city in Saudi Arabia. Self-reported questionnaires with close- and open-ended questions were used to collect rich data. Several teacher-related, student-related, classroom-related, and school-related challenges were reported. Teachers believed that the key barriers to effective English teaching in descending order were the limited ability to use technology, limited technical support to use technology, irrelevant curriculum, lack of training in immersive learning, lack of student motivation, cultural differences among students, overcrowded curriculum, malfunctioning air conditioners, limited engagement at the class, impaired communication skills, limited use of interactive teaching methods, limited teacher training, dull curriculum or unengaging content, limited students’ ability to use technology, large class size, and limited flexibility in adapting the curriculum to the interests and needs of students. There is a need for cooperation among teachers, school headmasters, students, policymakers, and parents to address these barriers.
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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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