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Teacher Development Program: AI Main Theory & Practice

10 Chapters15 Hours
Teacher Development Program: AI Main Theory & Practice

About this Course

Learn the theoretical fundamentals of Artificial Intelligence, ethical usage in educational settings, cognitive development with LLMs, and student critical thinking strategies.

Course Syllabus

Chapter 1

Introduction to AI in Education

2 lessons
  • What is AI and Machine Learning?40 min
  • History of AI in the Classroom50 min
Chapter 2

Ethical Use of AI

2 lessons
  • Academic Integrity & Digital Plagiarism45 min
  • Bias and Fairness in AI Models45 min
Chapter 3

AI Tools for Teachers

2 lessons
  • Lesson Planning with Large Language Models40 min
  • Automated Grading Pros & Cons40 min
Chapter 4

AI in Classroom Integration

2 lessons
  • Designing AI-Assisted Activities45 min
  • Establishing Student Guidelines45 min
Chapter 5

Critical Thinking in the AI Era

2 lessons
  • Spotting AI Hallucinations50 min
  • The Triangulation Method of Fact-Checking40 min
Chapter 6

AI Sustainability & Digital Literacy

2 lessons
  • Environmental Impact of Datacenters45 min
  • Bridging the AI Divide40 min
Chapter 7

Hands-On Prompt Engineering

2 lessons
  • System Prompts vs. User Prompts45 min
  • Few-Shot Prompting Techniques45 min
Chapter 8

Data Privacy and Student Security

2 lessons
  • COPPA & GDPR Compliance in EdTech45 min
  • Anonymization Practices for Inputs40 min
Chapter 9

Future of AI in Pedagogy

2 lessons
  • Personalized Learning Paths45 min
  • AI as a Teaching Assistant45 min
Chapter 10

Final Course Project

2 lessons
  • Drafting your AI Integration Plan50 min
  • Program Reflection & Review40 min

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