AI for Educators
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Week 1: Introduction to AI and Language AI Models

Day 1: Course Introduction & Understanding AI: Basic concepts
Day 2: The difference between AI and Machine Learning
Day 3: Introduction to Natural Language Processing (NLP)
Day 4: Evolution of Language AI Models: From ELIZA to GPT-3
Day 5: Overview of GPT-4: Understanding its potential in education
Week 2: Deep Dive into Language AI Models

Day 6: Technical workings of GPT-4
Day 7: Societal Implications of Language AI Models
Day 8: Practical uses of Language AI in education
Day 9: The potential risks of AI in education
Day 10: Recap and Discussion: Future of AI in education
Week 3: Impact of AI on Education and Pedagogical Shift

Day 11: How AI can enhance personalized learning
Day 12: Incorporating AI in teaching: Practical considerations
Day 13:Changes in the student-teacher relationship with AI
Day 14: Role of AI in shaping classroom dynamics
Day 15: AI as a teaching assistant vs. a learning tool
Week 4: Pedagogical Shift (Continued)

Day 16: Activity: Design an AI-assisted lesson plan
Day 17: Presentation of AI-assisted lesson plans
Day 18: Discussion on AI's role in collaborative learning
Day 19: Addressing challenges and resistance to AI in teaching
Day 20: Case Study: Successful AI integration in a classroom
Where to from here?

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Day 3: Introduction to Natural Language Processing (NLP)

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