Empowering Educators to Redefine Learning with Generative AI
Overview: What is Generative AI? Basics, applications, and how it differs from traditional AI. Trends: AI-powered tutors, personalized learning, automated assessments. Impact: Enhances teaching, grading, content delivery, and student engagement.
Applications: AI-generated lesson plans, study materials, adaptive learning paths, customized quizzes, assignments, and summaries. Hands-on: Create an AI-generated course outline and interactive study guide.
Tools: Text-to-presentation systems and AI-generated multimedia (images, infographics, educational videos). Hands-on: Convert a topic into a presentation and video using AI.
Concept: The art of crafting effective AI instructions. Techniques: Chain-of-thought prompting, role-based prompts, and refining AI output. Hands-on: Practice creating prompts for lesson planning, assessments, and grading.
Functions: Automate quiz creation and grading; generate instant feedback for assignments and essays. Hands-on: Develop a self-grading AI-powered quiz and an AI-generated feedback report.
Usage: Implement AI chatbots for student queries, interactive Q&A systems, and virtual tutors. Hands-on: Build a simple AI chatbot for student engagement.
Emerging Trends: Multimodal AI, AI tutors, and adaptive testing. Challenges: AI bias, misinformation, and data privacy. Hands-on: Discuss AI policies and best practices for classroom use
ChatGPT
Gemini
Copilot
Claude
DALL-E 3
Notebook LM
Canva
Notion
Perplexity
Wolfram Alpha