AI and the Future of Education

This course includes

Lessons

12+ Lessons | 29+ Exercises | 94+ Quizzes |

TestPrep

Here's what you will learn

Download Course Outline

Lessons 1: Preface

Lessons 2: Embracing AI in Education

  • OPPORTUNITIES AND CHALLENGES: AI IN THE CLASSROOM
  • SUSTAINABLE AI INTEGRATION STRATEGIES
  • CONCLUSION

Lessons 3: Defining AI

  • FUNDAMENTALS OF AI AND MACHINE LEARNING
  • EXPLORING GENERATIVE AI
  • EFFECTIVE PROMPT WRITING FOR TEACHERS
  • CONCLUSION

Lessons 4: 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

Lessons 5: 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

Lessons 6: 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

Lessons 7: Automating Administrative Tasks

  • STREAMLINING COMMUNICATION AND SCHEDULING
  • AI‐ENHANCED FEEDBACK AND GRADING
  • OPTIMIZING PAPERWORK AND RECORDKEEPING TASKS
  • CONCLUSION

Lessons 8: Boosting Engagement and Motivation

  • INTELLIGENT TUTORING SYSTEMS
  • PERSONALIZED LEARNING PATHWAYS
  • GAMIFICATION AND LEARNING EXPERIENCES
  • DEBATES AND DISCUSSIONS
  • EXECUTIVE FUNCTIONING AND SOCIAL‐EMOTIONAL LEARNING
  • CONCLUSION

Lessons 9: 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

Lessons 10: 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

Lessons 11: 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

Lessons 12: Adapting and Growing with AI in Education

Hands-on LAB Activities (Performance Labs)