Digital Devices Use and Chinese-Canadian First Graders’ Early English Literacy Development: A Mixed-Methods Study
Bibliographic record
Abstract
This mixed-methods study investigates the impact of digital devices use at home on early English literacy development among 121 Chinese-Canadian first graders, as well as their parents’ perspectives on the families’ purposes and practices of digital devices use for English literacy, highlighting bilingual children’s experiences with multiple digital devices. To understand the relationships between the children’s digital practices and early English literacy development, we collected quantitative data on children’s English literacy skills—including reading comprehension, decoding, and receptive vocabulary—alongside frequency data on digital devices use including those on computer use and television viewing. Parents of 66 children participated in interviews, providing context-specific insights into devices use purposes and language learning practices. Data analysis included descriptive statistics and independent samples t-tests to examine group differences. Hierarchical linear regression explored associations between digital devices use and early English literacy outcomes, while thematic analysis identified patterns from parental interviews. Results indicate a positive association between controlled television exposure and receptive vocabulary. However, no significant relationship was observed between television or computer use and decoding or reading comprehension. Findings emphasize the multifaceted but limited role of digital devices, with parents struggling to balance educational benefits and long-term concerns.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| 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".