FACTORS AFFECTING TEACHER QUALITY PRACTICES IN PRIMARY SCHOOLS IN AWKA EDUCATIONAL ZONE, ANAMBRA STATE
Bibliographic record
Abstract
This study examines the factors affecting teacher quality practices in public primary schools in Awka Educational Zone, Anambra State, Nigeria. The study aims to ascertain the factors that constitute, effect, as well as improve teachers’ quality practices. Three research questions were developed for the study. The study sample consisted of 120 primary school teachers in Awka Education Zone. Based on the data collected via a questionnaire, the analysis resulted in the following findings that teacher quality practices include: delivering high quality student-centered instruction, promoting high levels of student engagement, clear assessment strategies for students learning, using positive behavior management strategies, and evidence of student learning. The study also revealed factors that mitigate against teacher quality practices are unconducive environment for teaching and learning, insufficient classrooms for students, delay in paying teacher salaries, inadequate facilities to help achieve instructional objectives, poor teacher preparation and qualifications. Suggestions were made by respondents and additional recommendations were suggested by the researchers to ensure and improve teachers’ quality practices.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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 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".