Abstract
This paper provides an integrated framework for developing children in the age of AI. The literature indicates that trust, skill deficiencies, and data privacy limit AI adoption in children. We introduce a learning model that focuses on the key cognitive processes and behavioral traits that are needed for digital readiness. This includes an assessment for measuring AI readiness in preschool, elementary, and adolescence. A mixed methods exploratory approach was used to develop the model, which included stakeholder interviews, a structured survey, and a psychometric assessment of current AI/ML engineers. The results indicate that digital readiness requires building specific cognitive processes and leadership traits, which can be incorporated into existing early childhood learning activities using an adaptive approach. The significance of this model is that it provides educators with a framework to better plan, manage, and sustain AI readiness across multiple child development stages.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
AI Readiness, Digital Literacy, Child Development, AI Learning, AI Assessment
