The AI equity gap in schools is no longer about devices. It's about data privacy, subscription tiers, and a 28-point training gap between rich and poor districts. Here's what the 2026 research shows.
Read Article →AI in Education.
Written Honestly.
Practical writing on AI in education for teachers, parents, and students.
AI detector accuracy drops to 47.6% probability on a flagged paper in a typical classroom. Here's what perplexity and burstiness mean, why the math fails teachers, and what to do instead.
Read Article →Vanderbilt projected 750 wrongful AI misconduct charges per year. MIT, Northwestern, and Waterloo disabled detection entirely. Here's what the institutional failure means for students and schools.
Read Article →Turnitin's false positive rate reaches 10–20% in independent testing, yet honest students face academic misconduct charges daily. Here's what the data actually shows.
Read Article →How does AI work? Teachers get a plain-English breakdown of LLMs, why AI hallucinates facts, and what that means for your classroom in 2026.
Read Article →AI literacy for teachers in 2026: what it actually means, the 8 things every teacher needs to know, where the training gaps are, and how to start building it today.
Read Article →What schools are getting wrong about AI policy in 2026: why bans backfire, what detectors do to vulnerable students, and what the districts actually getting it right are doing instead.
Read Article →How to set up a personal AI tutor: the five-step session framework, the Socratic control prompt, which tool to use for each subject, and why the default setup fails.
Read Article →How to grade suspected AI cheating without proof in 2026. A six-step framework for teachers when detectors fail, plus assignment design that makes AI less useful than doing the work.
Read Article →Minimalist AI teacher toolkit 2026: the five tools that actually work in a classroom, why I stopped looking for more, and how to fix the amnesia problem.
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