ADOPTION AND CHALLENGES OF INNOVATIVE INSTRUCTIONAL DELIVERY METHODS IN PRIMARY SCHOOLS IN YENAGOA LOCAL GOVERNMENT AREA OF BAYELSA STATE
Bibliographic record
Abstract
The study examined the adoption and challenges of innovative instructional delivery methods in primary schools in Yenagoa Local Government Area of Bayelsa State, Nigeria. A descriptive survey research design was employed, utilizing primary data sources to achieve the study’s objectives. The population consisted of all primary school teachers in Yenagoa LGA, with a sample of 399 teachers selected through a multistage sampling technique. Data were collected using a structured questionnaire (ITIDAAQ) developed by the researcher and validated by experts. The research questions were analyzed using Mean and Standard Deviation. Findings revealed that while the adoption of innovative instructional delivery methods in Yenagoa LGA is moderate, teachers face considerable challenges, including insufficient training, limited access to technology, inadequate resources, and a lack of administrative support. It was recommended that school administrators and policymakers prioritize teacher training, provision of digital resources, and policy support to enhance the effective implementation of innovative instructional methods, ultimately improving learning outcomes in primary schools.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".