Machine Learning Basics


This academy is designed to give educators an understanding of leveraging machine learning to improve teaching learning experiences and how they can integrate it into their curriculum to deepen learning. 

 Learning Objectives:  

  • Understand the fundamentals of machine learning
  • Explore machine learning-driven scenarios in education
  • Learn about Machine Learning approach to personalized education and using learning analytics
  • Curate and create content to foster deep learning experiences

Agenda at a glance  

Time Session 
5 min Welcome 
30 min Fundamentals of Machine learning in Education 
60 min Explore machine learning driven scenarios in education Hands-on activity exploring machine learning experiences 
30 min Walkthrough idea gallery of Machine learning Scenarios 
60 min Machine Learning approach to personalized learning: Examples and Hands On Practice
60 min Machine Learning approach towards learning analytics Examples and Hands On Practice
60 min Curate content for deep learning
30 min How Can We Integrate immersive learning experiences in Education?  
30 min Reflection on machine learning experiences in Education, Task of the Day (ToD) & Q & A

Target Audience  

The primary audience for this session is teachers, empowering educators teaching in a variety of settings.

Recommended size for this academy is 30 educators with one trainer.

Length: Six-hours (plus a 1-hour recommended lunch)

%d bloggers like this: