Picture Reading and Scaffolding Strategies on Reading Fluency of Children with Dyslexia
Bibliographic record
Abstract
The experimental study investigated the effects of picture reading and scaffolding strategies on the reading fluency of children with dyslexia in the Ogoja Education Zone of Cross River State. A factorial matrix pretest-posttest control experimental design was used in the study. A sample of thirty children who exhibited signs of dyslexia in the study area were purposively selected and assigned to control and experimental groups. Four null hypotheses were formulated to guide the study. Picture Reading (PR) and Scaffolding strategies were used as treatment packages. The duration of the study was six consecutive weeks. Pre-test and post-test data were collected using the Reading Proficiency of Children with Dyslexia Package (RPCDP). Data were analyzed using Analysis of Covariance (ANCOVA) to determine the effect of the treatment on the experimental group. Findings revealed that children exposed to picture reading and scaffolding strategies performed better, and their reading fluency was improved. The study also revealed that gender has no effect on the reading fluency of children with dyslexia. It was concluded and recommended that the use of pictures and images should be encouraged in the process of teaching reading, as children learn fast and better with what they see and are allowed to practice on their own.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".