AI Training Outline PDF

Comprehensive Training Curriculum: Train the Trainers Program on AI in Education Course Title: Empowering Educators with AI: A Simplified Approach Course Duration: 4 Days (4 hours daily) Target Audience: Trainers preparing to teach university lecturers with minimal AI knowled...

Comprehensive Training Curriculum: Train the Trainers Program on AI in Education Course Title: Empowering Educators with AI: A Simplified Approach Course Duration: 4 Days (4 hours daily) Target Audience: Trainers preparing to teach university lecturers with minimal AI knowledge Minimum Requirements:  Basic familiarity with computers and internet usage.  Access to a laptop or desktop computer with internet connectivity.  An interest in enhancing teaching methodologies through technology. Expected Outcomes: Upon completion of this program, participants will: 1. Gain a fundamental understanding of Artificial Intelligence (AI) and its applications in education. 2. Develop hands-on skills in using AI tools such as ChatGPT, Grammarly, QuillBot, Canva AI, and others. 3. Learn to craft effective AI prompts and integrate AI into lesson planning. 4. Understand ethical considerations and best practices for AI usage in education. 5. Be equipped to train educators on AI tools and methods confidently. Day 1: Introduction to AI and AI tools (4 hours) Session 1: Understanding Artificial Intelligence (1.5 hours)  What is Artificial Intelligence (AI)? o Simple definition of AI o Everyday examples of AI (e.g., Siri, Alexa, Netflix recommendations) o Dispelling common myths and fears about AI  Why AI Matters in Education o Potential benefits for teaching and learning o Enhancing student engagement and personalizing learning experiences  Brief History of AI o Key milestones explained simply o Evolution of AI over time Session 2: How AI Works Simplified (1 hour)  Machine Learning Basics o How AI learns from data using analogies  Neural Networks Made Easy o Visual aids and comparisons to human brain functions  Natural Language Processing (NLP) o AI’s ability to understand and generate human language o Examples like translation apps and chatbots Break: 15 minutes Session 3: Introducing AI tools and Large Language Models (1 hour)  What is ChatGPT? o Explanation in simple terms o Real-world applications  Understanding Large Language Models o How these models predict and generate text o The role of vast datasets  Ethical Considerations o Responsible use o Avoiding misinformation and bias Session 4: Hands-on Session: First Interaction with ChatGPT (30 minutes)  Getting Started o Accessing and navigating ChatGPT  Interactive Exercise o Participants input simple prompts and discuss responses Day 2: Exploring AI Tools in Education (4 hours) Session 1: Overview of AI Educational Tools (1.5 hours)  Writing Assistants o Grammarly, QuillBot  Research Tools o Elicit, Connected Papers  Content Creation Tools o Canva AI, Beautiful.ai  Assessment Tools  o Gradescope, Turnitin Session 2: Practical Demonstrations (1 hour)  Live Demonstrations o Walkthrough of selected tools  Classroom Applications o Examples of use in teaching Break: 15 minutes Session 3: Simple Integration Strategies (1 hour)  Incorporating AI Tools into Teaching o Identifying opportunities within lesson plans  Engaging Students with AI o Interactive activities  Group Discussion o Addressing challenges and sharing ideas Session 4: Hands-on Practice Session (30 minutes)  Trying Out Tools o Facilitated exploration  Reflection o Discussing usability and feedback Day 3: Basics of Prompt Writing and Best Practices (4 hours) Session 1: Understanding Prompts and Their Importance (1 hour)  What is a Prompt in AI? o Definition and examples  Impact of Effective Prompts o Clarity and precision  Common Mistakes to Avoid o Examples of vague or complex prompts Session 2: Crafting Simple Yet Effective Prompts (1 hour)  Guidelines for Good Prompts o Using clear and simple language  Interactive Exercise o Writing and discussing prompts Break: 15 minutes Session 3: Hands-on Practice with ChatGPT (1.5 hours)  Testing Prompts o Observing and refining results  Collaborative Learning o Sharing successful prompts Session 4: Building a Prompt Resource (30 minutes)  Creating a Prompt Library o Organizing prompts for common scenarios  Resource Sharing o Distributing the library Day 4: Implementing AI in Education and Next Steps (4 hours) Session 1: Developing AI-Enhanced Lesson Plans (1.5 hours)  Step-by-Step Guide o Objectives and activity planning  Sample Lesson Plan Review  Workshop Activity o Drafting plans with facilitator support Break: 15 minutes Session 2: Ethical and Practical Considerations (1 hour)  Ethical Use of AI o Data privacy, inclusivity, and fairness  Addressing Challenges o Technical limitations and access issues Session 3: Preparing to Train Educators (1 hour)  Effective Training Techniques o Simplifying complex ideas  Anticipating Questions o Addressing common concerns Session 4: Wrap-Up, Action Planning, and Q&A (30 minutes)  Reviewing Key Points  Setting Goals  Open Discussion Course Materials:  Simplified Training Manual  User-Friendly Guides  Prompt Examples Collection  Additional Resources Conclusion: This curriculum provides a simplified yet comprehensive approach to training educators on AI integration in education. By focusing on practical applications and hands-on experiences, participants will gain confidence in leveraging AI tools and teaching methods effectively. Next Steps: 1. Apply AI tools in teaching practices. 2. Train educators using provided materials. 3. Stay updated on AI developments through educator forums.