Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

McMaster Presentation - Personalizing Learning

17 views

Published on

Slides from a workshop with Continuing Education colleagues - looking at ideas for making online learning powerful and effective.

Published in: Education
  • Be the first to comment

  • Be the first to like this

McMaster Presentation - Personalizing Learning

  1. 1. Personalizing Learning Stephen Murgatroyd, PhD FBPsS FRSA
  2. 2. WhatareWe TalkingAbout?  What does “personalized learning” mean? 1. Learner determines their own route to completion by choosing modules suited to their interests / needs / capabilities and build their own program. 2. Learner is able to take a varied route through a pre- planned course / program so as to secure credit. 3. Supports are geared to individual learners based on their progress through a designed course / program.
  3. 3. TheBigIdea Garrison,AndersonandArcher (2000)
  4. 4. Toolsfor Personalization Learner Analytics Adaptive Learning Engine AI Assessment Based on Competency / Capability Learner Engagement Challenge Based Design / Project Work
  5. 5. Analytics  Analytics are being used in some universities / colleges to:  Secure targeted recruitment of students  Predict learner outcomes and support active early intervention  Enable assessments for learning to be used to trigger adaptive learning responses  Support continuous improvement in course design and development  Support student advising and career guidance services
  6. 6. Adaptive LearningEngine  Brightspace is an adaptive learning engine within D2L which permits the (relatively) easy creation of personalized learning routes.  A setup wizard helps you build new courses—or make existing ones adaptive—using content you already have or new material from external sources.  Access to 700,000+ learning objectives via the Achievement Standards Network  Ability to import content from open educational resources (OERs) and publishers  Integration with Brightspace Learning Environment and support for other LMS options via LTI
  7. 7. Artificial Intelligence  Already:  developed intelligent tutoring systems that use student test responses to personalize how they navigate through material and assessments, targeting the skills they need to develop;  investigated automatic detection of affect – including whether students are bored or confused – and used that to adapt materials they use; and  built conversational agents or “chatbots” that can engage in discussions with students, even to support student-to- student collaboration.  student advising and support services  Coming:  Linking analytics to learning styles and automated content / learning resource finding - IBM Watson’s Teacher Advisor launched Sept 13th 2017
  8. 8. Assessment  Assessment is the key to personalized learning:  Competency / capability based assessment enables learners to capture and store their achievements  Video based assessment (Valid8), simulation and game based assessment, capability reviews are all forms of emerging assessment practice.  AI engines being used to generate assessment items (Varafy) and automated marking of complex assessment resources (TAO).  E-Portolio’s capture learning and enable learners to showcase their abilities - UK requires all PSE’s to provide an e-portfolio  RIIPEN is a fast-growing resource to support “paired” assessment and e-portfolio’s
  9. 9. Engagement  National Study of Student Engagement looks at these design dimensions:  Level of Academic Challenge  Active and Collaborative Learning  Student-Faculty Interaction  Enriching Educational Experiences  Supportive Campus Environment
  10. 10. 1st Yearat McMaster (2015)
  11. 11. SeniorYearat McMaster (2015)
  12. 12. ChallengeBased Design  Less is more! Challenge students to solve problems, preferably real world problems:  Weekly challenge as the core design  Content light, idea rich  Peer to peer team based work + personal assignment  Driven by a competency / capability map and assessment  Create publishable resources – blogs, social media campaigns, journalistic pieces, academic articles  Build e-portfolios  Flip the “classroom”!
  13. 13. Flipped Design
  14. 14. Suggestions  Short (1-2 week) modules focused on specific and assessable learning outcomes.  Modules are stackable and can be pursued in a variety of different ways (in class, online, flipped…)  Modules are stackable..  Assessment of competency, capability and understanding is key - can replace teaching / learning  Engagement and challenge are key design challenges  Engage students in the work of design..  Less is more…

×