AI for Educators

A deep dive into a World Economic Forum article exploring youth perspectives on AI in education, revealing why readiness, not technology, will determine whether AI improves learning or worsens inequality.

A deep dive into Pearson and AWS research on AI readiness, revealing why graduates aren’t prepared for AI work and what schools must change to bridge the gap.

A deep dive into Boston University’s analysis of AI in education, exploring how teaching, learning, and assessment are already changing—and why this shift is happening faster than schools can respond.

A deep dive into new AWS and Pearson research revealing a growing AI skills gap between education and work, and what it means for curriculum, assessment, and future readiness.

A deep dive into Canva AI 2.0 and what it reveals about the future of work, creativity, and classrooms as AI becomes a full workflow partner for teachers and students.

A deep dive into the 2026 Stanford AI Index Report, exploring explosive AI adoption, education disruption, and what accelerating capability means for how teachers teach and students learn.

A deep dive into new global research on AI in higher education, revealing how “cognitive offloading” and critical thinking work together to drive deeper, transformative student learning.

A deep dive into an Observer article arguing we are asking the wrong question about AI in education, and why the future is not replacement but redefining the role of teachers.

A deep dive into a BBC report on schools using AI to mark exams, exploring workload, bias, trust, and what this experiment reveals about the future of assessment.

A deep dive into a Forbes interview with Google’s Head of Learning, revealing why AI can improve education but cannot solve its core problem: student motivation and human connection.