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LRMI: Peek Under the Hood of Personalized Learning

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Audio available at: http://snd.sc/ZxALBT …

Audio available at: http://snd.sc/ZxALBT

The LRMI is to the Dewey Decimal System as a motorcycle is to a bicycle—designed for a new era to change the very nature of where we can go with instructional resources and how we get there. Platforms and technologies that take advantage of this new tagging standard will drive the future of personalized learning. The Learning Resource Metadata Initiative enables the use of rich, education-specific metadata that not just describes a resource but how it can be used to support learning. You'll learn from those who are evolving this initiative, including both producers and consumers of LRMI metadata, how it connects to big data initiatives like the Shared Learning Collaborative and the Learning Registry, and how it works with other existing and emerging education data standards. Whether you’re an educator, platform developer, or publisher—or you’re like billions of others who search the internet—you’ll benefit from this close-up look at the engine that will drive 21st Century learning.

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  • 1. LRMI Peek Under the Hood of Personalized Learning SXSWedu Austin, TX — 6 March 2013Alicia Powers, NoodleDin Heiman, BrainPOPMichael Jay, Educational Systemics 1
  • 2. About UsAlicia Powers, Noodle Din Heiman, BrainPOP Michael JayEducational Systemics 2
  • 3. Learning Metadata? 3
  • 4. LOM SCORMOMGDC LRMI QTI MLR 4
  • 5. Why Now? Kinda’ Perfect StormGoal: Make it easier and more convenient to find learning resources that meet specific student and class needs. Curriculum Intersection of Standards three opportunities LRMI Schema.org Resource Registries (Learning Registry) 5
  • 6. So, why do we need a standard? 6
  • 7. microdata rdfa 1.1 lite or 7
  • 8. 8
  • 9. “Why?” 9
  • 10. Improve search results. 10
  • 11. 11
  • 12. But... 12
  • 13. 13
  • 14. But nothing about learning. 14
  • 15. 15
  • 16. 16
  • 17. MOMAvs. 17
  • 18. Our Challenge“There is nothing worse than a sharp image of a fuzzy concept.” - Ansel Adams 18
  • 19. 19
  • 20. The$LRMI$Proper-es$v1!(lrmi.net/the-specifica3on)General$Terms$(Schema.org): Educa-onal$Terms: – 3tle/name – intendedEndUserRole – educa3onalUse!! – URL – 3meRequired – Descrip3on – typicalAgeRange!! – Image – interac3vityType!! – Topic – learningResourceType – created!(date) Competency$related: – Creator – educa3onalAlignment – Descrip3on – Publisher – URL – inLanguage – Alignment!Type! – Mediatype – educa3onalFramework – technologiesRequired – targetDescrip3on – targetName – technologiesRecommended! – targetURL – Use!RightsURL – is!based!on 20
  • 21. Intended User Role Administrator Mentor Parent Peer Tutor Specialist Student Teacher Team 21
  • 22. Educational UseActivity Homework Problem SolvingAnalogies ID similarities & differences Problem-basedAssessment Inquiry ProjectAuditory Interactive QuestioningBrainstorming Interview/Survey ReadingClassifying Interviews Reciprocal teachingComparing Introduction ReflectionCooperative Learning Journaling ReinforcementCreative Response Kinesthetic ResearchDemonstration Laboratory ReviewDifferentiation Lecture Role PlayingDiscovery Learning Metaphors Service learningDiscussion/Debate Model & Simulation SimulationsDrill & Practice Musical SummarizingExperiential Nonlinguistic TechnologyField Trip Note taking Testing hypothesesGame Peer Coaching Thematic instructionGenerating hypotheses Peer Response Visual/SpatialGuided questions Play Word associationHands-on Presentation 22
  • 23. Interactivity Type Active Expositive Mixed 23
  • 24. Media TypeAudio CD Image PrintedAudiotape In-Person/Speaker RadioCalculator IWB RoboticsCD-I Manipulative SatelliteCD-ROM MBL SlidesDiskette Microfiche TelevisionDuplication Master Overhead TransparencyDVD/ Blu-ray Pamphlet Video ConferenceE-Mail PDF VideodiscElectronic Slides Person-to-Person WebpageField Trip Phonograph WikiFilmstrip RecordFlash Photo Podcast 24
  • 25. Typical Age Range 0-2 2-5 5-8 8-10 10-12 12-14 14-16 16-18 18+ 25
  • 26. Learning Resource TypeActivity Kinesthetic RoboticsAudio Lab Material Still ImageBroadcast Manipulative VideoCalculator MBL WikiDiscussion Model WorksheetE-Mail On-Line Lesson PlanField Trip Podcast TestHands-on Presentation QuizIn-Person/Speaker Printed 26
  • 27. Alignment Type assesses teaches requires textComplexity readingLevel educationalSubject educationLevel 27
  • 28. Visions!of!a!Post!LRMI!World A!thought!experiment.!Nothing!more Din!Heiman,!BrainPOP! …but!full!credit!to!@grandison 28
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  • 40. 40
  • 41. 41
  • 42. Implications 43
  • 43. Why Tag to the LRMI Objects? DiscoveryLRMI is designed to makeyour content discoverable Commerce Contextual relevance drives value. Allows you to make your resources more relevant and move to new use models. 44
  • 44. Not just for topical application...Use to capture and communicateinstructional intent as part of productconceptualization and designTag, you’re it! 45
  • 45. ShiftingMove from… Resource to Learning Institution to Learner Media to Engagement Adopted to Discovered 46
  • 46. So, How Can YourOrganization Participate? 47
  • 47. Ask$us$ We’re here to help you... • Gain support for LRMI within your organizations • Provide support in finding ways to integrate this into! ! your existing processes • Facilitate access to technical resources if neededTo do this we can... • Present to you and those teams with whom you work • Review and provide feedback on metadata you are creating • Provide information to show benefit to your organization for participation www.lrmi.net 48
  • 48. Ques-ons$&$ContactsPresenters: Alicia Powers apowers@noodle.org Din Heiman dinh@brainpop.com Michael Jay michael@edusystemics.comTo$Get$Started: Dave!Gladney!–!AEP!LRMI!Contact dgladney@AEPweb.org Teila!Evans,!Project!Manager teila@edusystemics.com 49

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