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Personalizing Learning
Stephen Murgatroyd, PhD FBPsS FRSA
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.
TheBigIdea
Garrison,AndersonandArcher
(2000)
Toolsfor
Personalization
Learner
Analytics
Adaptive
Learning
Engine
AI
Assessment
Based on
Competency
/ Capability
Learner
Engagement
Challenge
Based
Design /
Project
Work
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
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
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
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
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
1st Yearat
McMaster
(2015)
SeniorYearat
McMaster
(2015)
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”!
Flipped
Design
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…

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McMaster Presentation - Personalizing Learning

  • 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.
  • 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. 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. 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. 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. 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
  • 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”!
  • 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…

Editor's Notes

  1.   Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3), 87-105 PDF Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical Thinking and Computer Conferencing:A Model and Tool to Assess Cognitive Presence. American Journal of Distance Education. PDF Garrison, D. Randy; Terry Anderson, and Walter Archer (2001). Critical Thinking, Cognitive Presence, and Computer Conferencing in Distance Education, American Journal of Distance Education, 15(1). PDF Reprint Garrison, Randy & Terry Anderson, (2003). E-Learning in the 21st Century: A Framework for Research and Practice, 2003, p. 23.