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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