The most important questions about AI in education are no longer about technology alone. This article explores how AI is changing what students need to learn, how learning happens, and how education organizations should design for the future.

AI is introducing new opportunities — and new uncertainties — for schools, education nonprofits, and EdTech organizations. This article explores four practical leadership principles that can help guide responsible innovation, improve implementation, and build long-term credibility amid AI uncertainty.

As digital learning becomes embedded across education systems some educators and policymakers are questioning the overall efficacy of edtech solutions. To turn the tide, education innovators need to act with clarity and a purpose-driven focus — aligning digital learning designs with evidence-based instructional practices and strong change leadership principles. This post explains key digital, virtual, and blended learning models, highlights research-aligned best practices, and shows how thoughtful design supports credibility, sustainability, and more reliable learning outcomes.