Get That App!: Examining Parental Evaluations of Numeracy Apps
Bibliographic record
Abstract
The accessibility of mobile technologies opens a new world of possibilities for parents to support their children’s learning through game-based numeracy apps. Carefully designed numeracy apps can be effective at improving children’s foundational numeracy skills. In the absence of industry standards for quality, however, it is important to understand how parents choose numeracy apps for their children. Forty-five parents of children 3 to 6 years old completed a survey and explored four numeracy apps of varying quality and instructional supports. Parent ratings were consistent with trained coders in identification of the highest rated app. However, ratings for the three remaining apps differed from the coders’ ratings. Other factors apart from quality influenced parental ratings. For example, parents who had higher perceived math teaching confidence and those whose children used technology more often generally were more favorable in their app ratings. Overall, the study revealed strengths and challenges parents have evaluating numeracy apps.
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".