Strategies and interventions employed by teachers in supporting students with mathematics learning difficulties in Kenya
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
Adequate mathematical skills are essential for successful outcomes in education and in the future workplace. However, mathematical learning difficulties (MLD) are a common occurrence that affects up to about eight percent of children in a typical classroom. Effective teacher practices are important in enhancing mathematical learning outcomes for learners with MLD. This exploratory case study examined perceptions and expereinces of four mathematics teachers in supporting learners with MLD at a secondary school in Kenya. Research questions sought to determine teacher perceptions about their learners with MLD, considerations teachers made in planning for learners with MLD, and support strategies that were used to remediate learners with MLD. Four major themes are highlighted: Teacher perception of learners with MLD; teacher considerations in planning for learners with MLD; instructional strategies used by teachers to support learners with MLD; and challenges experienced by teachers in supporting learners with MLD. Recommendations are presented.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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