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Adaptive Learning

Adaptive learning refers to the online instruction that provides learners with a personalized learning experience by using a data-driven approach to curriculum design. The method builds on customized learning paths deprived from course analytics, assessment data, and feedback from students (Educause, 2017).

5 Tips to personalized and Adaptive eLearning:
Adapted from: The Trend Toward Personalized And Adaptive Learning, 
Simon Greany, eLearning Industry, August 31, 2018.

  1. Know your audience – To personalize experiences, you need to know your end users.
  2. Take a people-centered design approach, involve your end users in the design process, get feedback, and test out ideas as you go.
  3. Keep it simple. Don’t over complicate things for yourself; start off with some simple personalization techniques such as role selectors or using clips to replay names back.
  4. Guide users with diagnostics, look for adaptive technologies or smart authoring tools that enable you to set up diagnostic experiences. This means that you can serve up specific topics or support resources that match your needs.
  5. Report back to users, try using adaptive technology to play back action plans and feedback. This can help people reflect on their journey, choices so far, strengths or gaps, etc.

Examples of Adaptive Learning:
Personalized Time Management Toolkit  – diagnose time management issues.
Personalized compliance assessment – personalized assessment of your knowledge of cyber security.

Adaptive Learning Resources