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 Duration 21 hours

Course Outline

Foundations of Generative AI in Education

  • Decoding the mechanics of Generative AI
  • The evolving role of AI in contemporary education
  • Analyzing case studies of AI-powered educational platforms

Tailoring Learning Experiences with AI

  • Exploring AI algorithms for adaptive learning models
  • Constructing dynamic and responsive learning pathways
  • Deriving data-driven insights into student performance

Generating Educational Content with AI

  • Leveraging tools for automated content generation
  • Maintaining high standards of content quality and relevance
  • Practical workshop: Crafting AI-assisted lesson plans

AI Applications in Classroom Management and Administration

  • Optimizing administrative tasks through AI automation
  • Utilizing AI for efficient grading and assessment processes
  • Strengthening interactions between teachers and students

Ethical Frameworks for AI in Education

  • Safeguarding student privacy and data protection
  • Mitigating bias and ensuring fairness in AI algorithms
  • Promoting responsible and ethical AI adoption in schools

Future Perspectives on AI in Education

  • Identifying emerging trends in educational technology
  • Preparing for the transition to AI-augmented classrooms
  • Evaluating long-term impacts on educators and learners

Capstone Project

  • Developing a functional AI-driven educational tool
  • Applying AI solutions in real-world educational scenarios
  • Receiving comprehensive assessment and constructive feedback

Course Summary and Recommended Next Steps

Requirements

  • Foundational knowledge of AI and machine learning principles
  • Proficiency in Python programming
  • Familiarity with educational technology standards

Target Audience

  • Educators
  • Edtech professionals
  • School administrators

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