How the COVID-19 shutdown revealed the effectiveness of a northern Nigerian educational media program
Bibliographic record
Abstract
A team of researchers were investigating the impact of a Nigerian adaptation of Akili and Me when the COVID−19 pandemic struck. Schools shut down, interrupting the study’s quasi-experimental intervention design. Post-school reopening, researchers recontacted 363 children (mean age = 5.1, SD = 1.1 years) who had provided data at baseline and had completed the intervention. The analyses revealed that during the shutdown, participating children watched Akili and Me, beyond the exposure experienced through the study intervention. Across viewing groups and including the control group, researchers found the children knew the program’s characters using a program receptivity score. The researchers found no differences associated with study’s initial group assignments. Those children who could name more Akili and Me characters performed significantly better on the outcomes of literacy, numeracy, shape, socio-emotional development, controlling for sex, age, baseline score, and group assignment. This study offers promising evidence that locally-produced educational media interventions can impact early learning skills, especially during a crisis when children rely on educational media for home learning.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".