AI tools for educators that prioritize local control, data privacy, and individual teaching autonomy - move beyond generic chatbots to personalized learning companions.
This toolkit represents a shift from "How should I use AI?" to "How can AI support the educator I want to be?" Each tool is designed with local control, data privacy, and individual autonomy at its core.
AI as a personalized learning partner—technology that adapts to support your unique educational vision, working style, and professional goals, without external monitoring or data sharing.
- Upload essays and engage in natural language conversations about improvement
- Adaptive dialogue styles that match student preferences
- Local data processing with complete privacy
- Input your teaching philosophy and preferred frameworks
- Generate aligned materials that reflect your priorities
- Save hours of planning time for creative lesson design
- AI-powered conversation practice and coaching
- Multiple scenario types and coaching styles
- Safe environment for unlimited skill development
- Audio transcription and thematic analysis
- Complete local control for qualitative researchers
- Auditable data provenance and compliance
- Pattern recognition in educational data
- Transform information into actionable insights
- Multiple visualization and export options
- Virtual company environments with AI employees
- Realistic workplace scenarios for skill building
- Bridge theory-practice gap in safe environment
This repository contains the complete presentation "Beyond the Generic AI Chatbot" delivered at [Event/Date]. Available in multiple formats:
- 📊 PowerPoint (
presentation.pptx) - Complete slide deck with speaker notes - 📄 PDF (
presentation.pdf) - Portable format for sharing and printing - 📝 Word Document (
presentation.docx) - Editable version for customization - 🌐 Interactive HTML (
presentation.html) - Web version with navigation - 🎧 Podcast (
presentation-podcast.mp3) - Audio version via Google NotebookLM
Take our assessment to discover whether you're a:
- Methodical Professional - Enhanced research partner approach
- Creative Innovator - Brainstorming companion approach
- Pragmatic Educator - Problem-solving approach
- Digital Experimenter - Learning playground approach
Detailed 90-day pathways for each teaching style, including:
- Recommended starting tools and timelines
- Success metrics and milestone tracking
- Personal journey strategies (not rigid prescriptions!)
Answers to common concerns about:
- Privacy and data security with local control
- Academic integrity in AI-enhanced learning
- Technical requirements and implementation
- Educational effectiveness and assessment strategies
- Electron-based applications for Linux, Mac, and Windows
- No external data transmission - everything stays on your device
- No cloud dependencies - work offline with complete autonomy
- Research compliance - ideal for qualitative researchers needing data control
- ✅ No external monitoring or usage tracking
- ✅ Complete user control over data retention and sharing
- ✅ Local storage only - you choose backup methods
- ✅ No "big brother watching" - work at your own pace
- Personal choice - like using any productivity software
- No institutional IT dependencies - simple desktop app installation
- Your data, your control - full portability between institutions
- Professional development - part of your personal teaching toolkit
Important: These are starting points, not rigid prescriptions. We're not trying to box you into categories—use whatever tool excites you most! These are simply possible pathways to help you craft your personal AI journey.
- Follow your curiosity - Start with whatever tool excites you
- Start small - Begin with low-pressure experimentation
- Maintain local control - Your data, your pace, your implementation
- Adapt freely - Modify approaches based on your discoveries
- Remember - There's no "right" way to integrate AI into education
- 🎯 Discover Your Teaching Style - Find your AI approach
- 📋 Choose Your Roadmap - Plan your journey
- ❓ Get Your Questions Answered - Address concerns
- 📥 Download Presentation - Access all materials
Michael Borck is an educator and developer passionate about empowering teachers with AI tools that respect their autonomy and enhance their unique teaching approaches. Advocate for local control and data sovereignty in educational technology.
- Books: Intentional Prompting, Jumpstart Python, Python Development in the AI Era
- Tools: ScenarioForge, CharacterCraft, Slinkr, CoursePulse, CourseChat (in development)
- Python Packages: hands-on-ai, fetch-my-weather, sim-lab
This project is licensed under the MIT License - see the LICENSE file for details.
While these tools represent a personal vision for educational AI, feedback and suggestions are welcome:
- 🐛 Report issues with the presentation materials or website
- 💡 Suggest improvements to the roadmaps or FAQ
- 🔗 Share your journey - how are you adapting these ideas?
- 📧 Connect with the community of educators exploring AI-enhanced teaching
- Inspired by educators worldwide who are thoughtfully integrating AI into their teaching
- Built with respect for individual teaching autonomy and data privacy
- Designed to support the educator you want to be, not who others think you should be
Remember: Your AI journey should be as unique as your teaching. Start with excitement, experiment freely, and maintain control over your own professional development path.