Children’s attention to screen-based pedagogical supports: an eye-tracking study with low-income preschool children in the United States
Bibliographic record
Abstract
Educational screen media is increasingly salient in the lives of young children. Research affirms preschool-aged children can learn content from media when they attend to it, however less is known about how specific screen-based pedagogical supports (SBPS) might draw children’s attention. Using eye-tracking methodology, the current study examines specific SBPSs that engage children’s attention. The sample consisted of 106 3- to 5-year-olds from a poverty-impacted neighborhood. Participants viewed 12 video clips of Sesame Street that used four different SBPSs to support vocabulary: visual effects, visual + sound effects, explicit definitions, and explicit definitions + repetitions. Results indicated that children attended significantly more to the SBPSs with definitions. Findings also revealed differences in screen composition. Children attended more to people than objects, and attended more to on-screen conversations than conversations cut between screens. This study demonstrates the importance for educational media to use appropriate SBPSs and on-screen compositions to engage children.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".