Creating personalised learning paths with AI

How teachers can create learning experiences that use AI to adapt to students' unique needs and preferences.

In this tutorial, we'll walk through the process of using AI to create personalised learning paths for students. By following these steps, you'll be able to generate tailored learning experiences that adapt to each student's unique needs and preferences.

This is an advanced tutorial that uses code. To complete all steps, you’ll need:

  • To be able to survey your students using a form, e.g. Google Forms or SurveyMonkey, to identify their preferred learning style
  • An LMS
  • Access to Google Analytics, and the ability to connect it to your LMS
  • Knowledge of Google Sheets
  • Knowledge of Python

Steps we’ll walk through in this tutorial:

  • Gather your student data
  • Prepare (clean, transform and split) your data
  • Train a decision tree classifier
  • Generate personalised learning experiences for students
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