Course Outline

Introduction to AI in Education

  • Overview of AI applications in teaching and training
  • DeepSeek models and their role in education
  • Ethical considerations in AI-assisted learning

Building Personalized Learning Experiences

  • Using DeepSeek for adaptive learning pathways
  • AI-driven student engagement and performance tracking
  • Developing AI-powered tutoring systems

Automating Assessments and Feedback

  • AI-generated quizzes and test questions
  • Automated grading and performance evaluation
  • Providing real-time feedback with AI models

Generating Educational Content with AI

  • Text and multimedia content creation using DeepSeek
  • AI-powered lesson planning and curriculum design
  • Enhancing course materials with AI-generated visuals

Integrating AI into Learning Management Systems (LMS)

  • Embedding AI models in Moodle, Canvas, and other LMS platforms
  • Automating administrative tasks with AI
  • Case studies of AI-enhanced LMS implementations

Future Trends in AI for Education

  • Advancements in AI-driven education technologies
  • Trends in AI-powered adaptive learning systems
  • Developing an AI strategy for modern education

Summary and Next Steps

Requirements

  • Basic understanding of AI and machine learning concepts
  • Experience in education, training, or instructional design
  • Familiarity with digital learning tools and platforms

Audience

  • Educators integrating AI into teaching
  • Trainers designing AI-enhanced learning programs
  • Instructional designers automating content development
 14 Hours

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