Unboxing Education

 Here’s a clear outline of how a school can enforce differentiated AI policies across classes or assignments without chaos —focusing on consistency in expectations, communication, and accountability while still allowing subject-specific flexibility: 🧭 1. Create a Schoolwide AI Policy Framework Instead of one rigid rule, develop a policy framework with these elements: Core Principles (e.g., “AI should support—not replace—learning”) Acceptable Use Categories : Prohibited : Tasks where AI use undermines learning (e.g., generating entire essays). Permitted with Attribution : Brainstorming, outlining, or revision support. Encouraged : Coding help, data visualization, or simulations. Require teacher discretion within this framework to define expectations per assignment. Refer to established frameworks, like this one from Michigan Virtual. 🧾 2. Require Assignment-Level Disclosure Teachers include an AI Use Policy section on each major assignment: What...

In education, consistency is often championed—but when it comes to setting due dates and AI usage policies, the "one size fits all" approach is more harmful than helpful.  It’s time we acknowledge a simple truth: not all subjects (or students) are the same. So why are we still enforcing blanket rules? 📚 Different Subjects, Different Cognitive Demands Subjects vary not just in content, but in the kind of thinking they require. Consider these examples: Math and Science often rely on sequential problem-solving. Timely practice and feedback are essential. Late work in these subjects may mean missed opportunities to correct misunderstandings before moving forward. English Language Arts requires deeper reflection, drafting, and revision. Rigid due dates can discourage the iterative process that leads to strong writing. Electives like Art, Music, and CTE often assess creativity, iteration, and production over time. Artificial urgency can hinder authentic learning. ...

If you want to know why innovation moves at a glacial pace in K–12 education, look no further than this: the penalty for failure is too high. Innovation thrives in environments where calculated risks are encouraged, failure is seen as data, and learning is iterative. That’s not how our education systems are built. In fact, most departments of education operate in the opposite direction—with rigid accountability structures, limited tolerance for experimentation, and political consequences for getting it wrong. 🎯 High Stakes, Low Risk Tolerance When a school or district tries something new—a new platform, a new schedule, a new grading system—they’re betting with their reputation, their funding, and sometimes even their jobs. Test scores drop during the transition? That might be enough to derail careers. Parents complain? The school board intervenes. One bad press article? The whole initiative dies. It’s no wonder so many schools stick with outdated systems. The known, even if broke...

A smooth start to the school year sets the tone for everything that follows,  especially in the online classroom . Whether you're new to virtual teaching or a seasoned pro, building trust , clarity , and connection early on pays off all year long. Here are three essential steps to help you start strong: ✉️ 1. Send a Welcome Letter That Connects Before students ever click into your LMS, send a warm, clear, and visually friendly welcome letter. Include: 👋 A brief personal introduction (with a photo, if you're comfortable) 📚 A simple overview of what to expect in your class 📬 Preferred communication channels & your response times 🔑 Login instructions and how to get started 🎥 Bonus: Add a short video greeting to help students feel connected, especially in asynchronous or self-paced programs. 📊 Fun fact: A 2014 study found that instructor-generated video content boosted student engagement and satisfaction in online higher ed courses. 🔥 Pro Tip: Use a m...