A deep dive into a major NBER study on AI-powered personalization in education, revealing how algorithms boost engagement, why effects grow at scale, and what this means for teaching.

A deep dive into Anthropic’s global study of 80,000 AI users revealing what people truly want from AI, what they fear, and what it means for learning and education.

A deep dive into an article from Solutions Review arguing that peer learning groups may outperform universities in the AI era by enabling faster skill development, contextual knowledge sharing, and real-world accountability.

A deep dive into Pearson research analyzing 79 million student interactions to explore how AI-powered study tools embedded in textbooks can shift learners from passive reading toward active learning behaviors.

A deep dive into a Conversation article exploring how generative AI can empower families to co-create culturally meaningful early learning materials and strengthen relationships in early childhood education.

A deep dive into the 2026 HEPI Student Generative AI Survey revealing near-universal student AI use, shifting assessment practices, and what the data really says about learning, dependence and opportunity.

A deep dive into Catherine Lawler’s 2026 study showing how direct interaction with generative AI can significantly increase undergraduate critical thinking through experiential learning and structured evaluation tasks.

A deep dive into the Stanford Social Innovation Review article arguing that in the age of AI, the most important human skill isn’t artificial intelligence—but relational intelligence.