lrmi: peek under the hood of personalized learning

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Peek Under the Hood of Personalized Learning SXSWedu Austin, TX 6 March 2013 Alicia Powers, Noodle Din Heiman, BrainPOP Michael Jay, Educational Systemics LRMI 1

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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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Page 1: LRMI: Peek Under the Hood of Personalized Learning

Peek Under the Hood ofPersonalized Learning

SXSWeduAustin, TX — 6 March 2013

Alicia Powers, NoodleDin Heiman, BrainPOPMichael Jay, Educational Systemics

LRMI

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About Us

Alicia Powers, Noodle

Din Heiman, BrainPOP

Michael JayEducational Systemics

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Learning Metadata?

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LOM

DC

SCORM

QTIMLRLRMIOMG

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Goal: Make it easier and more convenient to find learning resources that meet specific student and class needs.

Curriculum Standards

Schema.org

Intersection of three opportunities

Resource Registries

(Learning Registry)

LRMI

Why Now? Kinda’ Perfect Storm

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So, why do we need a standard?

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microdata or rdfa 1.1 lite

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“Why?”

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Improve search results.

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But...

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But nothing about learning.

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MOMA

vs.

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Our Challenge

“There is nothing worse than a sharp image of a fuzzy concept.”

- Ansel Adams

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The$LRMI$Proper-es$v1!(lrmi.net/the-specifica3on)

General$Terms$(Schema.org):– 3tle/name– URL– Descrip3on– Image– Topic– created!(date)– Creator– Publisher– inLanguage– Mediatype– technologiesRequired– technologiesRecommended!– Use!RightsURL– is!based!on

Educa-onal$Terms:– intendedEndUserRole– educa3onalUse!!– 3meRequired– typicalAgeRange!!– interac3vityType!!– learningResourceType

Competency$related:– educa3onalAlignment– Descrip3on– URL– Alignment!Type!– educa3onalFramework– targetDescrip3on– targetName– targetURL

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Intended User Role

AdministratorMentorParentPeer TutorSpecialistStudentTeacherTeam

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Educational UseActivityAnalogiesAssessmentAuditoryBrainstormingClassifyingComparingCooperative LearningCreative ResponseDemonstrationDifferentiation Discovery LearningDiscussion/DebateDrill & PracticeExperientialField TripGameGenerating hypothesesGuided questions Hands-on

HomeworkID similarities & differencesInquiryInteractiveInterview/SurveyInterviewsIntroductionJournaling KinestheticLaboratoryLectureMetaphorsModel & SimulationMusicalNonlinguistic Note taking Peer CoachingPeer ResponsePlayPresentation

Problem SolvingProblem-basedProjectQuestioning ReadingReciprocal teaching ReflectionReinforcementResearchReviewRole PlayingService learning SimulationsSummarizingTechnology Testing hypothesesThematic instruction Visual/SpatialWord association

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Interactivity Type

ActiveExpositiveMixed

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Media Type

Audio CDAudiotapeCalculatorCD-ICD-ROMDisketteDuplication MasterDVD/ Blu-rayE-MailElectronic SlidesField TripFilmstripFlash

ImageIn-Person/SpeakerIWBManipulativeMBLMicroficheOverheadPamphletPDFPerson-to-PersonPhonograph RecordPhotoPodcast

PrintedRadioRoboticsSatelliteSlidesTelevisionTransparencyVideo ConferenceVideodiscWebpageWiki

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Typical Age Range

0-22-55-88-1010-1212-1414-1616-1818+

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Learning Resource Type

ActivityAudioBroadcastCalculatorDiscussionE-MailField TripHands-onIn-Person/Speaker

KinestheticLab MaterialManipulativeMBLModelOn-LinePodcast PresentationPrinted

RoboticsStill ImageVideoWikiWorksheetLesson PlanTestQuiz

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Alignment Type

assessesteachesrequirestextComplexityreadingLeveleducationalSubjecteducationLevel

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Visions!of!a!Post!LRMI!World

A!thought!experiment.!Nothing!more

Din!Heiman,!BrainPOP!

…but!full!credit!to!@grandison

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Implications

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DiscoveryLRMI is designed to make your content discoverable

CommerceContextual relevance drives value. Allows you to make your resources more relevant and move to new use models.

Why Tag to the LRMI Objects?

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Not just for topical application...

Use to capture and communicate instructional intent as part of product conceptualization and design

Tag, you’re it!

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Shifting

ResourceInstitution

MediaAdopted

LearningLearnerEngagementDiscovered

totototo

Move from…

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So, How Can Your Organization Participate?

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Ask$us$

! !

www.lrmi.net

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 needed

To 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

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