Using artificial intelligence technology to predict and model preschool children’s learning outcomes
This peer-reviewed paper investigates the use of artificial intelligence technologies to predict and model learning outcomes in preschool children, aiming to enhance early education through data-driven insights.
- 判断
- Predictive AI models could enable early identification of learning needs, personalize instruction, and improve educational outcomes, but they also raise questions about data privacy, algorithmic bias, and the appropriate role of technology in early childhood development.
- 实践
- Educators and policymakers should critically evaluate AI-based prediction tools, ensuring they are validated with diverse populations, ethically deployed, and used to supplement—not replace—teacher judgment and relational pedagogy.