Artificial Intelligence (AI) Course for Educators & Schools

Introduction

• Who This Course Is For?
• What This Course Covers?
• To Get The Most Out Of This Course

Embracing AI in Education

• Opportunities And Challenges: AI In The Classroom
• Sustainable AI Integration Strategies
• Conclusion

Defining AI

• Fundamentals Of AI And Machine Learning
• Exploring Generative AI
• Effective Prompt Writing For Teachers
• Conclusion

Reframing Education in the Age of AI

• Preparing Students For The AI‐Driven Workforce
• Developing AI Literacy And Computational Thinking
• Fostering A Growth Mindset And Lifelong Learning Culture
• Cultivating Creativity And Innovation Skills In The AI Era
• Conclusion

Adapting Pedagogy for AI Integration

• Learning Theories In The AI Era: Constructivist, Behaviorist, And Sociocultural Approaches
• Active Learning And AI: Transforming The Classroom Experience
• Problem‐ And Project‐Based Learning Strategies With AI
• Bloom'S Taxonomy And Critical Thinking Skills In The AI‐Enhanced Classroom
• Differentiated Instruction: AI‐Generated Customized Activities
• Fostering Collaboration And Relationship‐Building Through AI Integration
• Inquiry‐Based Learning And AI: Encouraging Student‐Centered Exploration
• Conclusion

Using AI in Curriculum Development

• Lesson Planning And Curricular Design
• Creating Learning Assets
• Formative Activities: Generated Worksheets, Games, And More
• Summative Assessments: Quizzes, Rubrics, And Performance Tasks
• Implications For Special Education, Ell, And Inclusive Classrooms
• Distance And Remote Education
• Conclusion

Automating Administrative Tasks

• Streamlining Communication And Scheduling
• AI‐Enhanced Feedback And Grading
• Optimizing Paperwork And Recordkeeping Tasks
• Conclusion

Boosting Engagement and Motivation

• Intelligent Tutoring Systems
• Personalized Learning Pathways
• Gamification And Learning Experiences
• Debates And Discussions
• Executive Functioning And Social‐Emotional Learning
• Conclusion

Teaching Students about AI

• Responsible And Ethical Use Of AI
• Digital Citizenship In The AI Era
• Refining And Iterating On AI‐Generated Content
• Addressing AI‐Related Misinformation And Bias
• Conclusion

Ethical Considerations for AI in Education

• Reducing, Not Expanding, The Achievement Gap
• Addressing The Digital Divide And Ensuring Access
• Protecting Student Privacy And Data Security
• Conclusion

Teacher Professional Development in the AI Era

• The Importance Of Continued Adaptation And Growth
• Essential AI Competencies For Educators
• Leveraging AI For Personal And Professional Development
• Conclusion

Adapting and Growing with AI in Education