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AI in Education: Fundamentals & Tools
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- AI for Beginners: Key Terms Every Teacher Should Know
- What Is AI? A Beginner's Guide for Educators
- Machine Learning, NLP, and Computer Vision - What Teachers Need to Know
- Debunking AI Myths. What AI Can and Can't Do in Education
- AI vs. Traditional Software: What Every Teacher Should Know
- Foundations of Large Language Models for Educators
- Cognitive Load and AI: Keeping Lessons Manageable
- Prompt Engineering for Teachers
- Understanding Generative vs. Predictive AI in Classrooms
- Explainable AI: Talking Algorithms With Students
- Edge AI Devices in Schools: A Primer
- The Future of Multimodal AI for Education
- AI Agents Explained: From Simple Scripts to Autonomous Systems
- AI Agents vs. Chatbots: Key Differences Teachers Should Understand
- Future Careers in an AI-Driven World: 25 Emerging Job Titles
- Prompt Engineers, AI Trainers, and Model Auditors: New Roles
- How AI Works: A Simple Explanation for Non-Tech-Savvy Teachers
- AI in Schools: Transforming Education or Fading Trend?
- Explaining Neural Networks to Students: Everyday Analogies
- Machine Learning vs. Human Intuition: Classroom Boundaries
- Interactive Quiz: Test Your AI Basics Knowledge
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- 30 Must-Try AI Tools for Every Subject Area
- ChatGPT Plugins & Advanced Tools for Educators
- Top Free AI-Powered Quiz Platforms Compared
- AI Note-Taking Assistants for Lectures and Meetings
- Creating Interactive Lessons With Curipod AI
- Automating Rubrics With Gradescope & ChatGPT
- Designing Visual Aids Using Canva’s Magic Media
- Voice Cloning Ethics & Tools for Language Teachers
- AI-Powered Lesson Differentiation in Google Classroom
- Building an AI Toolbox on a Budget
- From Zero to Hero: Constructing a Class Chatbot with No Code
- Build Your Own AI Classroom Agent Using LangChain and Zapier
- Orchestration Platforms: Comparing AutoGen, CrewAI, and MetaGPT
- AI Modules for Moodle: Review and Setup Guide
- Top AI Plugins for Canvas and Blackboard LMS
- Comparing Moodle AI Plugins vs. OpenEdX Add-ons
- How ChatGPT, Quizlet & Kahoot! Boost Engagement in Minutes
- AI for Lesson Planning: Save Hours of Prep Time
- Advanced AI Tools for Innovative Educators
- ChatGPT in Class: Generate Assignments in 3 Minutes
- Classroom Translators: Benefits & Hidden Risks
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- Hybrid Learning: Integrating AI for Flipped Classrooms
- Classroom Use Cases for AI Agents: Automating Routine Tasks
- Student-Led Projects: Teaching Teens to Create Simple AI Agents
- Lesson Plan: Discussing AI Job Market Shifts With Students
- Implementing AI Feedback in Moodle Assignments
- Supervisor-Agent Architecture for Flipped Classroom Workflows
- Adaptive Learning Paths: Designing With Khanmigo & Coursera B2B
- Project-Based Learning Powered by Generative AI
- Using AI to Teach Critical Media Literacy
- Gamification + AI: Creating Adaptive Quests
- STEAM Labs: AI-Driven Art & Music Activities
- Inclusive Assessments With AI Transcripts
- Co-Teaching With AI Avatars in Language Classes
- Hands-On AI Labs Without Coding: Teachable Machine
- Step-by-Step Guide to Using AI in the Classroom
- Adaptive Learning for Every Student: Hands-On Setup
- AI Support for STEM vs. Humanities: Subject-Specific Tips
- Five Common Mistakes When Integrating Classroom AI
- Micro-Learning Nuggets via AI Summarizers
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- AI Agents as Peer Tutors: A Dutch Secondary School Case Study
- Swedish Art Class: Using AI Creatively—A Case Study
- AI-Driven Special Education: Supporting Unique Learners
- Duolingo in Spanish Schools: AI for Language Success
- French School Adapts Lessons for Visually Impaired With AI
- Top 10 AI-Advanced European Schools Ranked
- Finnish Schools’ AI Mentor Pilot: A Deep Dive
- Estonia’s Digital Report Card Automation
- AI-Enhanced Language Learning in Valencia
- Rural Classroom Transformation With Offline AI
- Reducing Dropout Rates With Predictive Analytics—Portugal
- Special Ed Success: Personalized Content in Sweden
- AI-Based Peer Review in French Universities
- Cross-Curricular AI Hackathons in Germany
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Ethical AI & Inclusive Practices
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- EU Guidelines for Trustworthy AI: What Educators Need to Know
- Ethical Frontiers. Navigating AI in Education within the EU Framework
- Ethical AI in Education - European Initiatives Paving the Way
- Algorithmic Discrimination - How to Test AI Tools for Bias
- The Ethics of Grading. Can We Trust AI to Assess Creative Work?
- Measuring the Carbon Footprint of Classroom AI Tools
- Evaluating Student-Made AI Agents for Ethics & Safety
- When AI Makes Mistakes in Class: Who Is Responsible?
- Designing Trustworthy AI Policies at the School Level
- Ethical Decision-Making Scenarios for Staff Training
- Balancing Surveillance and Safety: Cameras in Halls
- Mitigating Algorithmic Bias in Adaptive Tests
- Student Data Ownership: Empowering Learners
- Reward Systems vs. Manipulative Nudges in AI Tutors
- Ethics Board in a Box: Setting Up a School AI Committee
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- Multilingual Learning With AI: Making Classrooms Accessible
- Cultural Context Matters: Why ChatGPT Struggles With Sarcasm
- Gender Stereotypes in AI-Generated Materials: How to Avoid
- Universal Design for Learning Meets AI
- Multilingual AI Support for Newcomer Students
- Accessible STEM Diagrams With Alt-Text Generators
- Mitigating Gender Bias in AI-Generated Content
- Culturally Responsive AI Lesson Planning
- AI Mentors for Students With Dyslexia
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- How AI Training Sets Shape Outcomes in Education
- Student-Friendly Model Cards: A How-To
- Human-in-the-Loop Workflows for Safer Outputs
- Detecting AI Hallucinations in the Classroom
- Building Trust Through Transparent AI Dashboards
- Data Lineage: Tracing the Origin of Training Sets
- Open-Source vs. Proprietary AI: Transparency vs. Convenience
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AI, Security & GDPR Compliance
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- GDPR for Educators. What You Need to Know About Student Data Protection
- Self-Hosted Open-Source LLMs for GDPR Compliance
- Anonymisation Techniques for Classroom Projects
- Parent Consent Forms for AI Tools: EU Checklist
- Selecting GDPR-Ready AI Vendors: 15 Questions
- Data Minimization Strategies for School LMS
- Responding to Data Breaches Step-by-Step
- Anonymizing Student Data: A Step-by-Step Guide
- GDPR for Teachers: What Data Can You Collect?
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- AI Security Risks in Schools - How to Protect Student Data
- Integrating AI Exam Proctoring Modules Into Moodle Safely
- Phishing Simulations Using AI for Staff Awareness
- Securing AI Chatbots in Public-Facing Websites
- Zero-Trust Architecture for School Networks
- Student Device Hardening With AI EDR Solutions
- Using AI to Detect Cyberbullying & Sexting
- AI & Phishing Attacks: Keeping Schools Safe
- Digital Hygiene Lessons: 5 Rules for Students
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- The AI Act - How the New EU Law Will Transform Schools
- The EU AI Act Explained. How It Affects Schools and Educators
- European Grants to Fund Your School’s AI Agent Initiative
- AI Act 2025: Compliance Roadmap for Schools
- NIS2 Directive and Educational IT Security
- Standardizing AI Procurement: EU Green Public Procurement
- Open-Source vs. Proprietary AI in EU Classrooms
- European Data Spaces and Education
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Additional Resources
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- GDPR in Plain English - Key Definitions for Educators
- The Difference Between AI, Machine Learning, and Deep Learning
- AI, GDPR, and Cybersecurity: Key Terms Every Educator Should Know
- AI Glossary for History Teachers
- Quick Reference: Data Science in 50 Words
- Cybersecurity Terms Every Teacher Should Know
- Voice & Speech Tech Glossary for Language Classes
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- GDPR Checklist. 10 Steps to Vet Any Service Before You Hit ‘Accept’
- Step-by-Step GDPR Compliance Checklists for Schools
- AI Tool Vetting Flowchart Poster
- Lesson Plan Template With AI Integration Fields
- AI Prompt Library Template for Departments
- Model Card Template Adapted for K-12
- Student Data Risk Assessment Checklist
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- 10 TED talks about ethical AI for educators
- Crowdsourced EU-Funded AI EdTech Projects Teachers Can Join
- Upcoming EU-Focused EdTech AI Conferences 2025
- Top 15 TED Talks on AI & Pedagogy Update 2025
- Monthly Research Roundup: AI in Education June 2025
- Interview Series: AI Innovators in European Schools
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AI for Administrative & Pedagogical Support
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- Using AI Agents to Automate Lab Booking & Resource Scheduling
- Saving Time With AI-Powered Scheduling Assistants
- Automating Meeting Notes and Action Items
- Using Predictive Analytics to Balance Teacher Workload
- Daily Routine Optimizer: Prompt Pack for ChatGPT
- Automating Lesson Schedules: 5 AI Tools Guide
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- AI Prediction Algorithms for Student Success. Is It Ethical?
- A/B Testing AI Agent Interventions in Learning Analytics
- Early-Warning Dashboards for Struggling Students
- From Grades to Growth Metrics: Designing AI Reports
- Using Computer Vision to Assess Lab Skills
- Gamified Progress Trackers With Botsify AI
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- What to Let AI Write to Parents—And What to Keep Human
- Building a Voice Bot for the Admissions Office in 60 Minutes
- Crafting Empathetic Automated Messages to Parents
- Building Voice-Based Hotlines for Homework Help
- Multichannel Alerts: Slack, Email, SMS via Zapier AI
- Measuring Impact of Automated Comms on Engagement
- Telegram + AI Bot for Assignment Reminders
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10 TED talks about ethical AI for educators
“Ethical AI Frameworks Education” by Fahad Tamton
A thought-provoking talk on the importance of teaching ethical AI frameworks to future generations, addressing the current misuse of AI and inspiring educators to create programs that focus on responsible AI development.
“AI Literacy: The Key to Responsible Use of AI in Education” by Dale Lane
This talk explores the concept of AI literacy and its significance in education, emphasizing critical thinking about AI technologies and responsible collaboration with AI systems.
“AI and Ethics” by Toby Walsh
Professor Walsh discusses the ethical implications of AI, focusing on “good old-fashioned bad behavior” in a modern context and the challenges posed by AI in society.
“6 Big Ethical Questions About the Future of AI” by Genevieve Bell
An insightful presentation offering six framing questions to broaden our understanding of future AI technology and foster critical thinking about responsible, safe, and sustainable AI systems.
“Why AI Can’t be Ethical – Yet” by Eleanor Manley
An AI engineer’s perspective on the current limitations of Deep Learning AI and the need for a more informed engagement with AI technologies to address issues like hallucinations, copyright concerns, and negative bias.
“How AI Could Save (Not Destroy) Education” by Sal Khan
The founder of Khan Academy shares his vision of how AI could positively transform education, including the potential of personal AI tutors for students and AI teaching assistants for educators.
“Can We Protect AI from Our Biases?” by Robin Hauser
A documentary filmmaker’s exploration of the need for ethical standards in AI governance and strategies to mitigate human biases in AI systems.
“How to Get Empowered, Not Overpowered” by Max Tegmark
MIT Physicist Max Tegmark discusses the opportunities in AI and outlines steps needed to ensure AI helps humanity flourish.
“How to Keep Human Bias Out of AI” by Kriti Sharma
AI technologist Kriti Sharma presents three approaches to creating more ethical algorithms and reducing human bias in AI systems.
“Machine Intelligence Makes Human Morals More Important” by Zeynep Tufekci
A techno-sociologist’s perspective on the increasing importance of human values and ethics as algorithms and digital connectivity become more prevalent in society.
This collection of talks provides educators with diverse insights into the ethical considerations of AI in education, covering topics from AI literacy and bias mitigation to the potential positive impacts of AI on learning and teaching.