AI for Educators

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.

A deep dive into the Inside Higher Ed article about “Einstein,” an agentic AI that can complete entire courses for students, and what it reveals about the future of assessment and credentials.

A deep dive into the New York Times article on Chinese parents using AI for homework, exploring cultural attitudes to AI in education and what it reveals about the future of learning.

A deep dive into Peter C. Baker’s Guardian article about teaching English in the age of AI, exploring classroom cheating fears, student thinking, and why uncertainty may define teaching with AI.

Deep dive into OpenAI’s 2026 article on measuring AI learning outcomes, exploring the new Learning Outcomes Measurement Suite and what it reveals about AI tutoring, metacognition, and the future of assessment.

A deep dive into the NBER Working Paper “Does Generative AI Narrow Education-Based Productivity Gaps?”—a randomized experiment showing AI dramatically compresses education-based performance gaps without eliminating skill differences.

 A deep dive into “Bridging the Skills Gap: A Course Model for Modern Generative AI Education” (AAAI-26), exploring how one university taught applied AI fluency—and what schools must learn from it.

A deep dive into the OECD Digital Education Outlook 2026 on generative AI in education—examining learning gains, cognitive risks, teacher autonomy, and what “effective use” really means for schools.