Empirical Assessment on Mathematics and Sciences’ Understanding Among Physically Challenged Pupils Using Information and Communication Technology
Bibliographic record
Abstract
This work is an empirical assessment of the physically challenged students (deaf) in mathematics with a view of recognition and reintegration the brains among them back to the technological world view. The research design for the study is a quasi- experimental research design with experimental and control group. The sample for the study and Science consisted of 40 primary IV deaf pupils selected by strategically purposive sampling techniques from special school (of deaf) for the study. The instrument used for the study is Mathematics Achievement Test. The instructional package used was a comprehensive lesson plan on two major topics in Mathematics (Algebra and construction) with Visualized Instructional Package (VIP) anchored by a trained special Mathematics teacher. Finding revealed that the introduction of ICT and imagery in the teaching of the special pupils enhanced academic performance of physically challenged in mathematics Suggestions were made to stakeholders on the need to embrace ICT in the teaching of the special pupils in Mathematics.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".