Local LLMs & AI Tools
Schools and educators worried about data privacy, cost, or vendor lock-in are turning to local LLMs. Dr. Matt Rhoads writes about running models on classroom hardware, choosing tools like LM Studio and Ollama, and building practical AI workflows that don’t send student data to the cloud. This hub rounds up his hands-on guides and tool reviews.
Featured Posts (10)
July 24, 2026
Claude for Teachers launched this month. Teachers can pull in assessment data, lesson plans, and standards from all 50 states, then ask an AI to build…
July 20, 2026
A side-by-side reading of primary-source AI-in-education policy from both countries reveals a structural difference with real consequences for practice:…
July 18, 2026
Open-source models can run on school laptops today. Free, private, controllable. The technology is ready. The barrier is institutional, not technical.
July 07, 2026
An evidence-first framework for how educators should think about AI in the classroom — anchored in cognitive science, grounded in real research, and…
June 06, 2026
I built a personalized study system using Claude and cognitive science principles: retrieval practice, spaced repetition, cognitive load. Here’s what…
April 07, 2026
Think back to 2023, 2024, and 2025, the EdTech market was flooded with what we now affectionately call “AI wrappers.” These were sleek at first…
March 20, 2026
Over the past year, I have integrated Google’s NotebookLM into my WASC review workflow, and the results have fundamentally changed how I prepare,…
March 12, 2026
📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe Most schools do not have a data…
March 06, 2026
📬 Stay in the loop Join educators getting weekly insights on AI, co-teaching, and instructional leadership. Subscribe “That’s one small step for…
January 28, 2026
Over the last week, I have played extensively with Clawdbot, now aka Moltbot. Seeing AI that is THIS autonomous, and the work it has done has been…
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