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Why Your Learners Need Adaptive Learning


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In this 30-minute Master Class, we define Adaptive Learning, explore ways to use data to build or improve adaptive learning opportunities, and then outline how to leverage some of the features in your LMS to get started with Adaptive Learning.
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Why Your Learners Need Adaptive Learning

  1. 1. Erin Melvin - Presenter Director of Client Engagement Stewart Rogers - Moderator VP, Products Why Your Learners Need Adaptive Learning
  2. 2. Agenda 1. What is Adaptive Learning? 2. Why Adaptive Learning is important in eLearning? 3. 3 Ways to implement Adaptive Learning 2
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  4. 4. The Scene ● Lifelong Learning ● Internet full of fantastic distractions ● Multiple devices ● Information overload ● Life is full and busy ● You want your learner to focus, complete their lesson, and LEARN 4
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  6. 6. Adaptive Learning Adaptive Learning provides a learning pathway that is ‘tailored’ to the learner ● Guided ● Personalised ● “Sticky” 6
  7. 7. Adaptive Learning Adaptive Learning is the delivery of custom learning experiences that address the unique needs of individual learners through just-in-time feedback, pathways, and resources. 7
  8. 8. Adaptive Learning and AI What is real, where we are now, and where we are going? 8
  9. 9. Artificial Intelligence Definition: 1. A branch of computer science dealing with the simulation of intelligent behaviour in computers 2. The capability of a machine to imitate intelligent human behaviour 9
  10. 10. Machine Learning ● A computer system is fed large amounts of data, which it then learns how to carry out a specific task, such as understanding speech or captioning a photograph 10
  11. 11. Artificial Intelligence AI demonstrates following behaviours: ● Planning, learning, reasoning, problem solving ● Perception, social intelligence, creativity 11
  12. 12. AI & Adaptive Learning Would like to see: Learner moving through learning object and the system identifying the needs of the learner and providing an appropriate pathway based on their activity 12
  13. 13. AI in Learning Systems Today ● Budget ● Systems overhaul ● Fear ● Imagination 13
  14. 14. Lee Brighton, Founder of Virtro I would love to help you with any ideas that you have. The technology can be a little challenging at the moment, so it is good to get alignment with "what is doable now" compared to "what is coming" so you can better position your investment of time and energy. 14
  15. 15. Using Existing Technology Today Adaptive Learning is the delivery of custom learning experiences that address the unique needs of individual learners through just-in-time ● Feedback ● Pathways ● Resources 15
  16. 16. Practical Application (Today) ● Activity Locking (Restrict Access) ○ (March 26) Using Activity Locking for Adaptive Learning ● Lesson Branching ○ Today ● Quiz Question Feedback & Behaviour ○ Poll 16
  17. 17. POLL Are you interested in a Lambda Lab on Adaptivity in Quiz Question behaviour? ● Yes ● No 17
  18. 18. Lesson Module: Branching “The Lesson module was designed to be adaptive and to use a student's choices to create a self directed lesson.” 1. Branching 2. How to plan/create a branched lesson 3. Example (simple) 18
  19. 19. Lesson Module: Branching ● Decision-making paths ● Branching scenarios mimic realistic behaviours ● Places the learner in the middle of a learning experience ● Learner sees for themselves how their decisions positively or negatively affect a situation 19
  20. 20. Planning a Branched Lesson ● Challenge ● Choice(s) ● Consequence(s) <<Repeat>> The 3 Cs of Branching Scenarios (eLearning Industry) 20
  21. 21. POLL Would you like more on: ● Story-writing for branching ● Building branching in Moodle Lesson Module ● Building branching in H5P Branching Scenarios ● Data analysis of branching exercises (Moodle Lesson) 21
  22. 22. POLL What’s the first thing you are going to do? 1. Discuss this webinar with your team 2. Sign up for the session on Activity Locking 3. Try branching in the Lesson Activity 4. Read through some of the resources shared 22
  23. 23. Resources: ● Google AI ● Google Machine Learning Crash Course ● (example of VR in language learning) ● Dr Ray Hsu: Emerging Technologies ● The 3Cs of Branching Scenarios ● Building Moodle Lesson 23
  24. 24. Up Next: ● Zoola Analytics: Using Filters for Better Report and Insights ○ March 19, 10am PST ● Using Activity Locking for Adaptive Learning ○ March 26, 10am PST ● Lambda Solutions Webinars 24
  25. 25. Phone: +1.877.694.5289 Web: Email: