Course Outline

Introduction to Generative AI in Education

  • Understanding Generative AI
  • The role of AI in modern education
  • Case studies of AI-driven educational platforms

Personalizing Learning with AI

  • AI algorithms for adaptive learning
  • Creating dynamic learning pathways
  • Data-driven insights into student performance

AI-Generated Educational Content

  • Tools for automating content creation
  • Ensuring content quality and relevance
  • Workshop: Designing AI-generated lesson plans

AI in Classroom Management and Administration

  • Streamlining administrative tasks with AI
  • AI for grading and assessments
  • Enhancing teacher-student interactions

Ethical Considerations in AI for Education

  • Privacy and data protection for students
  • Bias and fairness in AI algorithms
  • Promoting responsible AI use in schools

The Future of AI in Education

  • Emerging trends in educational technology
  • Preparing for the AI-augmented classroom
  • Long-term implications for educators and learners

Capstone Project

  • Developing an AI-driven educational tool
  • Implementing AI solutions in a real-world educational setting
  • Assessment and feedback

Summary and Next Steps

Requirements

  • An understanding of basic AI and machine learning concepts
  • Experience with Python programming
  • Familiarity with educational technology

Audience

  • Educators
  • Edtech professionals
  • School administrators
 21 Hours

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