AI-Assisted Learning Coach 

Introduction  

Learning in the digital age goes beyond traditional classrooms; today’s coaches must leverage AI as an educational assistant to personalize learning paths, deliver precise feedback, and select resources intelligently. This course at SPT equips instructors with practical AI applications in education, transforming their role from “knowledge transmitters” to “smart learning coaches.”  

Target Audience  

– University lecturers and language teachers  

– School and institute trainers  

– Online and corporate course facilitators  

– Researchers in education and edtech  

Course Objectives  

– Use AI tools to design personalized learning paths  

– Learn methods for smart and instant feedback  

– Improve skills in selecting and creating educational content with AI  

– Practice managing online classrooms with smart tools  

– Prepare coaches for international learning environments  

Course Syllabus  

– AI applications in exercise and test design  

– Learning data analysis and identifying student weaknesses  

– Multimedia content creation with smart tools  

– Online classroom management and digital interaction  

– Ethics and responsibility in AI-powered education  

  

Practical Projects  

– Design a personalized learning path using AI  

– Analyze student performance in a mock class and deliver a report  

– Create multimedia educational content (video or infographic)  

– Simulate online classroom management with smart tools  

– Draft an educational plan for international institutions  

Special Advantages  

– Focus on the role of smart coach instead of traditional teacher  

– Use modern tools to enhance teaching quality  

– Simulated exercises for real preparation  

– Recognized certificate valuable in the global education market  

Course Delivery  

– Flexible sessions tailored to individual or institutional needs  

– Formats: On-site, Online, or Hybrid  

– Level: Intermediate to Advanced  

– Approach: Smart learning focused on educational coaching  

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  • AI applications in exercise and test design  
  • Learning data analysis and identifying student weaknesses  
  • Multimedia content creation with smart tools  
  • Online classroom management and digital interaction  
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0 (0)

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