Improving cognitive processes in preschool children: the COGEST programme
Bibliographic record
Abstract
The present study provides empirical evidence to support the hypothesis that pre-school children's cognitive functions can be developed by virtue of a training tool named COGENT (Cognitive Enhancement Training). We assumed that COGENT (COGEST in Spain) which is embedded in speech and language, will enhance the core cognitive processes that are required for reading acquisition. The participants included 97 students aged four and five, who received COGEST for six months. The two core cognitive processes targeted were simultaneous and successive. These were measured before and after the application of COGEST. Simultaneously, we assessed a control group in the same manner, but it did not receive any COGEST training. Results showed that the COGEST group improved its simultaneous and successive processing performance significantly (p < 0.00) with Cohen effect size moderate for simultaneous and small for successive, whereas the control group displayed no such change. The study provides evidence for the effectiveness of COGEST in preschoolers to improve the simultaneous and successive cognitive processes (PASS) involved in reading acquisition and suggests its use as a training programme may help prevent reading difficulties.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".