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Congrats on making it to day 5! (3.5 min estimated read time) From understanding AI fundamentals to implementation strategies, you're ready for the most impactful part! Here are 5 practical AI prompts designed for educational leadership - from crafting district-wide communications to enabling data-driven decision making - plus a bonus tool to at the end! Set Up ChatGPT (If You're New) Skip if you're already familiar. 1. Visit ChatGPT and click "Sign Up" 2. Create a free account using your email or Google 3. Start a new chat by clicking "New Chat" Your Ready-to-Use Leadership Prompts: (Copy and Paste Them to ChatGPT) (Pro tip: to ensure privacy, always use initials or general descriptors, as ChatGPT's inputs may contribute to its AI model training) 📝 Stakeholder Communication - Craft Effective Messages Write a clear and compelling communication to [stakeholder group] about our district's implementation of [initiative]. Start by highlighting our current successes like [example], then outline the specific challenges like [challenge] we're addressing. Present actionable steps for implementation, expected outcomes, and opportunities for community input. End with an emphasis on collaborative growth and student success. Keep the message under 300 words, using professional yet accessible language. 🎭 Professional Development - Create Engaging Training Design a professional development session that helps teachers understand and implement [new technology/initiative]. Include practical demonstrations, hands-on activities, and clear connections to student outcomes. Focus on building confidence and addressing common concerns. 📚 Policy Explanation - Ensure Clear Understanding Explain [new policy/procedure] in a way that's clear and actionable for all staff levels. Break down complex requirements into practical steps, anticipate common questions, and provide specific examples of successful implementation. 🔢 Data Analysis - Drive Informed Decisions Help me analyze [specific data set] to identify trends and areas for improvement in our [program/initiative]. Present key findings in a way that's meaningful for both board presentations and teacher implementation. Include suggested action steps based on the data. 🤔 Strategic Planning - Foster Innovation Design a framework for gathering and implementing innovative ideas from staff about [specific challenge/opportunity]. Include methods for evaluation, testing, and scaling successful approaches across the district. BONUS: Want Your Teachers to Write More Effective Report Cards in Less Time? Make Progress AI can help your teachers craft better comments while saving valuable hours: 1. Visit Make Progress AI 2. Log in to your account 3. Have teachers add their students and relevant curriculum 4. Watch them generate professional, parent-friendly comments in seconds! You've Made It! Our 5-day AI leadership journey is complete, but your transformation is just beginning!

Welcome to Day 4: The history of AI! 🎯 (Estimated reading time: 1.75 minutes) Remember the first classroom technology initiative in your district? From managing basic overhead projector systems to implementing district-wide smart technology, you've guided your institutions through remarkable transformations. The sophisticated classroom technology we see today mirrors the evolution of artificial intelligence. Let's explore how AI has transformed alongside our educational technology: 📚 The Basic Infrastructure Era (1950s) In 1956, AI emerged at Dartmouth College, where researchers began exploring the basics of machine intelligence. Like the reliable chalkboards in your classrooms then, these early AI programs handled basic tasks but needed explicit programming for every function. 🌧️ The Specialized Systems Era (1970s) The 1970s introduced expert systems in AI that could handle specific domains. This was similar to when districts invested in overhead projectors and specialized learning labs - they were functional but limited to predetermined uses and required significant resources. 🎓 The Digital Transformation Era (2000s) AI advanced to recognize patterns and learn from data. This paralleled your institutions' shift to interactive whiteboards - a significant investment that showed your commitment to modern education, though still within technological limits. 🌐 The Connected Campus Era (2000s-2010s) As AI systems evolved to power recommendation engines and adaptive learning, you led the transition to internet-connected classrooms and learning management systems. This created the foundation for today's integrated learning environments. 🚀 The Intelligent Institution Era (2010s-Present) Deep learning has revolutionized AI's capabilities. Just as you've equipped schools with comprehensive smart technology solutions, AI now offers sophisticated, context-aware support across all educational operations. Tomorrow, we'll explore what this evolution means for your educational institutions. Until then, The Make Progress AI Team

✨ Day 3/5: How AI Understands Language  (Estimated reading time 3.5 mins) "I'm fine." As a school leader, you know there’s always more to the story when your teacher responds this way. Those subtle hints—the dimmed enthusiasm in staff meetings, the shift from detailed to brief responses—reveal what’s really going on. You notice it all. It’s that invaluable sixth sense you’ve developed over years of leadership, and it makes all the difference. What’s fascinating is that AI tools like ChatGPT (what is called Large Language Models or LLMs) have similar capabilities. They're learning to understand not just what people say, but the deeper meaning behind their words. Here’s how AI is developing these intuitive skills: 📚 Understanding Surface Level When a department submits a vague improvement plan, both you and AI recognize the need for more detailed guidance—beyond just correcting the format. 💭 Reading Between the Lines When a teacher says, "We’ll handle it internally," you might sense hesitation to ask for help. Similarly, ChatGPT might offer, “Would you like me to suggest some structured approaches?” 👀 Noticing Pattern Changes Just as you notice when a collaborative department suddenly becomes isolated, AI can detect communication shifts—like moving from open dialogue to minimal interaction. ❤️ Gauging Emotion AI is learning to adapt its responses based on emotional cues—mirroring professional enthusiasm or responding to signs of burnout with resource suggestions. But here’s the key: these tools aren’t replacing your leadership intuition—they’re learning from it. Think of them as assistants, striving to develop a fraction of the perceptiveness you bring to your school leadership every day. Tomorrow, we’ll trace AI’s journey—how it evolved to this point. I think you’ll find the story fascinating. Until then, The Make Progress AI Team

Welcome to Day 4: The history of AI! 🎯 (Estimated reading time: 1.75 minutes) Remember the first classroom technology initiative in your district? From managing basic overhead projector systems to implementing district-wide smart technology, you've guided your institutions through remarkable transformations. The sophisticated classroom technology we see today mirrors the evolution of artificial intelligence. Let's explore how AI has transformed alongside our educational technology: 📚 The Basic Infrastructure Era (1950s) In 1956, AI emerged at Dartmouth College, where researchers began exploring the basics of machine intelligence. Like the reliable chalkboards in your classrooms then, these early AI programs handled basic tasks but needed explicit programming for every function. 🌧️ The Specialized Systems Era (1970s) The 1970s introduced expert systems in AI that could handle specific domains. This was similar to when districts invested in overhead projectors and specialized learning labs - they were functional but limited to predetermined uses and required significant resources. 🎓 The Digital Transformation Era (2000s) AI advanced to recognize patterns and learn from data. This paralleled your institutions' shift to interactive whiteboards - a significant investment that showed your commitment to modern education, though still within technological limits. 🌐 The Connected Campus Era (2000s-2010s) As AI systems evolved to power recommendation engines and adaptive learning, you led the transition to internet-connected classrooms and learning management systems. This created the foundation for today's integrated learning environments. 🚀 The Intelligent Institution Era (2010s-Present) Deep learning has revolutionized AI's capabilities. Just as you've equipped schools with comprehensive smart technology solutions, AI now offers sophisticated, context-aware support across all educational operations. Tomorrow, we'll explore what this evolution means for your educational institutions. Until then, The Make Progress AI Team

✨ Day 3/5: How AI Understands Language  (Estimated reading time 3.5 mins) "I'm fine." As a school leader, you know there’s always more to the story when your teacher responds this way. Those subtle hints—the dimmed enthusiasm in staff meetings, the shift from detailed to brief responses—reveal what’s really going on. You notice it all. It’s that invaluable sixth sense you’ve developed over years of leadership, and it makes all the difference. What’s fascinating is that AI tools like ChatGPT (what is called Large Language Models or LLMs) have similar capabilities. They're learning to understand not just what people say, but the deeper meaning behind their words. Here’s how AI is developing these intuitive skills: 📚 Understanding Surface Level When a department submits a vague improvement plan, both you and AI recognize the need for more detailed guidance—beyond just correcting the format. 💭 Reading Between the Lines When a teacher says, "We’ll handle it internally," you might sense hesitation to ask for help. Similarly, ChatGPT might offer, “Would you like me to suggest some structured approaches?” 👀 Noticing Pattern Changes Just as you notice when a collaborative department suddenly becomes isolated, AI can detect communication shifts—like moving from open dialogue to minimal interaction. ❤️ Gauging Emotion AI is learning to adapt its responses based on emotional cues—mirroring professional enthusiasm or responding to signs of burnout with resource suggestions. But here’s the key: these tools aren’t replacing your leadership intuition—they’re learning from it. Think of them as assistants, striving to develop a fraction of the perceptiveness you bring to your school leadership every day. Tomorrow, we’ll trace AI’s journey—how it evolved to this point. I think you’ll find the story fascinating. Until then, The Make Progress AI Team

Day 2/5: How does AI learn? (Estimated reading time: 2.5 mins) As an educational leader, you're skilled at observing, guiding, and supporting your school teams. Now, think about how schools adapt to new initiatives: At first, they’re cautious—starting small, maybe testing a program in one department or grade level. 🤝 Step by step, as teams gather feedback and tweak their approach, something powerful happens: patterns emerge. 🪄 Educators notice what works, administrators identify areas for growth, and strategies evolve into school-wide success. AI learns in a similar way. 🤖 AI is trained on vast amounts of information—billions of articles, books, websites, and conversations. 3 ways AI learns: -Supervised Learning: Learning through clear examples, like showing a school the proper implementation framework. 🎯 -Unsupervised Learning: Finding patterns independently, like discovering which improvement strategies work best. 🔍 -Reinforcement Learning: Trial and error, adjusting approaches until they’re successful—just like refining an initiative until it clicks. 🏆 By identifying patterns in data, AI makes connections and improves over time. Wild, right? Day 2 ✅ Day 3: Tomorrow, we’ll explore how AI understands language (it’s not as scary as it sounds). Keep exploring! Make Progress AI Team

Welcome to Day 1/5 of exploring AI! 🌟 (Estimated reading time: 1.5 minutes) As an educational leader, you're already a natural at interacting with AI. Ever notice how Netflix seems to know exactly what show you might enjoy after a long day? It does this by recognizing patterns in what you watch and learning from them. This pattern recognition is powered by machine learning, a subset of AI, which continuously improves by learning from new data – much like you do through experience. In fact, as an educational leader, you're an expert at pattern recognition yourself. Every day, you: - Spot trends in student performance by analyzing test results and class participation - Identify when a department needs additional support just by observing classroom dynamics and student behavior - Detect subtle patterns that tell you what teaching strategies are working (or need improvement) Those insights didn’t happen by chance. Behind your instinctive observations lies a sophisticated process: → Recognizing patterns → Learning and adapting from them Machine learning teaches computers to do the same. It works by identifying patterns within large amounts of data, just as you do with student performance. While traditional computer programs followed a set of pre-defined rules, modern AI systems use algorithms to adapt and make predictions based on data they receive, continuously improving as they process more information. Coming up in this series: ✨ Day 2: How AI Learns (and how it reflects us) ✨ Day 3: How AI Understands Language ✨ Day 4: The History of AI ✨ Day 5: Real-World AI Opportunities for Education Let us know your AI questions!

Educators, Let’s Demystify AI Together Starting Monday, December 16th, we’re launching a 5-day series to break down AI —tailored specifically for educational leaders like you. Here’s what you can expect: ✨ Day 1: AI in Your Daily Life (it’s closer than you think) ✨ Day 2: How AI Learns (and how it reflects us) ✨ Day 3: How AI Understands Language (prepare to be amazed) ✨ Day 4: The History of AI (so we can better understand the future) ✨ Day 5: Real-World AI Opportunities for Education This isn’t about reinventing the wheel—it’s about adding to what you already do so well. Whether you’re guiding teachers or shaping the future of your school or district, this series is here to inform and empower your work. Join us and let’s explore how AI can support your vision for education. #EdLeadership #EdTech #AIInEducation #K12Leadership #SchoolLeaders

Great conversation with Dan Fisher sharing insights on what’s happening in schools today! I’ve had the privilege of speaking with him, and his perspective on the challenges and opportunities in education is incredibly valuable. We had a thoughtful discussion about how technology MakeProgressAI can enhance the feedback loop between teachers, students, and parents—a topic I’m passionate about. Thank you, Dan Fisher, for your leadership and dedication to improving education. Looking forward to more conversations and collaboration!

We’re proud to announce that Make Progress AI has been honored as EdTech Startup of the Year by MindShare Learning!