Teachers’ Awareness of the Existence and the Use of Technology to Promote Children’s Literacy Instruction
Why this work is in the frame
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Bibliographic record
Abstract
This paper examined the awareness of teachers of nursery and primary schools on the existence of the technological resources that could be used to support children's literacy instruction, as well as the use of such technological resources for enriching children's literacy instruction. The study was carried out in Awka Local Government Education Zone in Anambra State, Nigeria. Two (2) research questions guided the study. Five (500) nursery and primary school teachers were selected as the sample for the study using simple random sampling technique. Questionnaire was the instrument used for data collection which was analyzed using mean scores. The findings, among others, were that both the nursery and primary school teachers are able to identify the technological tools that could be used to enhance literacy instruction in children but are not aware of how such resources could be used. Suggestions for improvement were provided.
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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 | 0.001 |
| 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 | 0.001 |
| 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 it