The Unique Contribution of Digital Maturity in the AI Era: Psychometric Validation, Predictive Ability and Latent Profile Analysis Among Chinese Primary Students
Meng Sun, Jiutong Luo · 2026
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Description
Sun and Luo validated a questionnaire measuring digital maturity, meaning how thoughtfully children handle digital life rather than mere access or familiarity, among Chinese primary school students. Their 2026 study responds to a gap: the concept had barely been tested in children or outside Western settings. A first sample of 434 students, averaging about ten and a half years old, was used to check the inventory's measurement quality.
Sun found the inventory performed satisfactorily in the Chinese context, and digital maturity predicted artificial intelligence literacy uniquely, beyond simply being a digital native raised with technology. A larger combined sample of 1,026 students then sorted into three distinct profiles through latent profile analysis. The profiles were an unbalanced low group, an inconsistent medium group, and a relatively high group. The authors argue schools should track maturity profiles, not just device access, when building children's artificial intelligence readiness.
Catalog record
| CREATOR | Meng Sun, Jiutong Luo |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |