SlideShare ist ein Scribd-Unternehmen logo
1 von 30
An Introduction to IMS LODE (Learning Object Discovery & Exchange)http://imsglobal.org/lode/ Dr. David Massart and Dr. Elena Shulman European Schoolnet July 21, 2010
Learning Objects, Metadata, and Repositories
Learning Objects, Metadata, and Repositories
Learning Objects, Metadata, and Repositories
Learning Objects, Metadata, and Repositories
Learning Object Discovery Service
Learning Object Discovery Service
Metadata http://www.dlib.indiana.edu/~jenlrile/metadatamap/
Issues Addressed by LODE How to automatically find and connect to repositories? How do you express a meaningful learning object queries?  How do you deal with versions and formats? How do you manage metadata from different  sources and of different standards?
Learning Object Discovery & Exchange (LODE) specification  Aims to facilitate the discovery and retrieval of learning objects stored across more than one collection Is a glue specification that profiles existing general-purpose protocols to take into account requirements specific to the educational domain, rather than creating new protocols Proposes three main data models Learning Object Repository Registry Data Model Information for Learning Object eXchange (ILOX) LODE Context Set for the Contextual Query Language (CQL)
1st Data Model: LODE Registry
LODE Registry Data Model
2nd Data Model: Information for Learning Object eXchange (ILOX) ILOX is based on FRBR
The ILOX Container FRBR: Work (Learning Object), Expression (version), Manifestation (format), Item (copy)
Describing an ILOX Level: General Principles
Describing a Manifestation
Organizing Multiple Specifications in One Container ,[object Object]
The aspects being described  by the attached metadata are expressed by facet names: main, rights, accessibility, etc.,[object Object]
Customization for Level Specific Information: Expression Dimension Expression(version) Languages The same Learning Object is often available in multiple languages Coverage The same Learning Object may be available in versions tailored to meet different regional or educational systems Accessibility Versions of a Learning Object differ because they are  tailored to meet specific accessibility needs of different user groups
Description Facets for Metadata Mandatory at top level and optional lower: Main Rights/license Optional and attached at any level when appropriate  Reputation Paradata Transaction Accessibility (only at Expression level)
Reputation Facet Refers to any type of user-generated assessments of a LO (ratings, annotations, bookmarks)  Aids in the object’s retrieval and rankings Can work with recommendation systems and/or support social navigation tools.  No schema is specified for this facet  Schema development is in progresshttps://sites.google.com/site/censocialdata/home
Paradata Facet Any data that records meaningful actions and processes users initiate to locate and access learning objects (e.g., web server logs).   Such data includes number of visits, number of downloads, etc.  This data is initially collected at the item level and then can be aggregated at different upper ILOX levels using the ‘paradata’ facet.  Such aggregation will track the number of times different formats of different versions of an object were accessed starting from the number of downloads of individual copies at the item level.  No schema is specified for this facet
Vocabulary Bank for Education Provides  Identifiers for vocabularies and terms Translations for vocabulary terms Crosswalks between vocabularies Browsable and searchable web application for users to locate, view and download terminology Standards-based, machine-to-machine interfaces REST  Can be used by validation services Stores vocabularies from other organizations
3rd Data Model: LODE Context Set Uses certain attributes of the objects as search terms (e.g., competency, learning resource type) Defines modifiers that allow more specific queries (e.g., language) Defines sort criteria that can be used to indicate how to sort the result set generated by the search (e.g., rating, relevance)
LODE Overview
Demo: ILOX at Workhttp://portal.aspect-project.org
Demo: Vocabulary Bank for Educationhttp://aspect.vocman.com
Appendix FRBR and LOM ILOX
FRBR and LOM
ILOX Facets

Weitere Àhnliche Inhalte

Was ist angesagt?

Networked Digital Library Of Theses And Dissertations
Networked Digital Library Of Theses And DissertationsNetworked Digital Library Of Theses And Dissertations
Networked Digital Library Of Theses And Dissertations
singlish
 
Meta data
Meta dataMeta data
Meta data
MoonFandrA
 
Adri Jovin - Semantic Web
Adri Jovin - Semantic WebAdri Jovin - Semantic Web
Adri Jovin - Semantic Web
Adri Jovin
 
Xerxes Roadmap
Xerxes RoadmapXerxes Roadmap
Xerxes Roadmap
dswalker
 

Was ist angesagt? (20)

The JISC Information Environment and VLEs
The JISC Information Environment and VLEsThe JISC Information Environment and VLEs
The JISC Information Environment and VLEs
 
FAIR/X4L programme meeting technical session
FAIR/X4L programme meeting technical sessionFAIR/X4L programme meeting technical session
FAIR/X4L programme meeting technical session
 
The JISC IE: shared, global or common services?
The JISC IE: shared, global or common services?The JISC IE: shared, global or common services?
The JISC IE: shared, global or common services?
 
Networked Digital Library Of Theses And Dissertations
Networked Digital Library Of Theses And DissertationsNetworked Digital Library Of Theses And Dissertations
Networked Digital Library Of Theses And Dissertations
 
Webinar slides: Interoperability between resources involved in TDM at the lev...
Webinar slides: Interoperability between resources involved in TDM at the lev...Webinar slides: Interoperability between resources involved in TDM at the lev...
Webinar slides: Interoperability between resources involved in TDM at the lev...
 
Meta data
Meta dataMeta data
Meta data
 
Semantic Mapping in CLARIN Component Metadata.
Semantic Mapping in CLARIN Component Metadata.Semantic Mapping in CLARIN Component Metadata.
Semantic Mapping in CLARIN Component Metadata.
 
Adri Jovin - Semantic Web
Adri Jovin - Semantic WebAdri Jovin - Semantic Web
Adri Jovin - Semantic Web
 
Xerxes Roadmap
Xerxes RoadmapXerxes Roadmap
Xerxes Roadmap
 
Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...
Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...
Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...
 
Analyzing Files
Analyzing FilesAnalyzing Files
Analyzing Files
 
Knowledge Organization System (KOS) for biodiversity information resources, G...
Knowledge Organization System (KOS) for biodiversity information resources, G...Knowledge Organization System (KOS) for biodiversity information resources, G...
Knowledge Organization System (KOS) for biodiversity information resources, G...
 
Wikimania 2007 Gm Wf P Omega Wiki
Wikimania 2007   Gm   Wf P Omega WikiWikimania 2007   Gm   Wf P Omega Wiki
Wikimania 2007 Gm Wf P Omega Wiki
 
MIDP Internalization
MIDP InternalizationMIDP Internalization
MIDP Internalization
 
Building a Digital Library
Building a Digital LibraryBuilding a Digital Library
Building a Digital Library
 
File structure
File structureFile structure
File structure
 
Wikipedia as source of collaboratively created Knowledge Organization Systems
Wikipedia as source of collaboratively created Knowledge Organization SystemsWikipedia as source of collaboratively created Knowledge Organization Systems
Wikipedia as source of collaboratively created Knowledge Organization Systems
 
Fedora 4 :Introduction and Overview
Fedora 4 :Introduction and OverviewFedora 4 :Introduction and Overview
Fedora 4 :Introduction and Overview
 
Object models and object representation
Object models and object representationObject models and object representation
Object models and object representation
 
Cataloguer Makeover
Cataloguer MakeoverCataloguer Makeover
Cataloguer Makeover
 

Andere mochten auch

EPE 312 Intro Learning Object
EPE 312 Intro Learning ObjectEPE 312 Intro Learning Object
EPE 312 Intro Learning Object
Ley Leal
 
E learning fundanemtals and standards
E learning fundanemtals and standardsE learning fundanemtals and standards
E learning fundanemtals and standards
Nelly Kamel
 
enquiryblogger-analytics-calrg2012
enquiryblogger-analytics-calrg2012enquiryblogger-analytics-calrg2012
enquiryblogger-analytics-calrg2012
Simon Buckingham Shum
 

Andere mochten auch (20)

Trade agreements and data flows
Trade agreements and data flowsTrade agreements and data flows
Trade agreements and data flows
 
Sharable Content Object Reference Model
Sharable Content Object Reference ModelSharable Content Object Reference Model
Sharable Content Object Reference Model
 
EPE 312 Intro Learning Object
EPE 312 Intro Learning ObjectEPE 312 Intro Learning Object
EPE 312 Intro Learning Object
 
Student Learning with Reusable Learning Objects
Student Learning with Reusable Learning ObjectsStudent Learning with Reusable Learning Objects
Student Learning with Reusable Learning Objects
 
LO5 legal & ethical issues
LO5 legal & ethical issuesLO5 legal & ethical issues
LO5 legal & ethical issues
 
Scorm explication
Scorm explicationScorm explication
Scorm explication
 
Modern goal tracking stratgies for the web
Modern goal tracking stratgies for the webModern goal tracking stratgies for the web
Modern goal tracking stratgies for the web
 
Privacy by Design Seminar - Jan 22, 2015
Privacy by Design Seminar - Jan 22, 2015Privacy by Design Seminar - Jan 22, 2015
Privacy by Design Seminar - Jan 22, 2015
 
Ethical issues
Ethical issuesEthical issues
Ethical issues
 
E learning fundanemtals and standards
E learning fundanemtals and standardsE learning fundanemtals and standards
E learning fundanemtals and standards
 
X api introduction and acrossx solution (1)
X api introduction and acrossx solution (1)X api introduction and acrossx solution (1)
X api introduction and acrossx solution (1)
 
Lasi 21 century skills panel
Lasi 21 century skills panelLasi 21 century skills panel
Lasi 21 century skills panel
 
enquiryblogger-analytics-calrg2012
enquiryblogger-analytics-calrg2012enquiryblogger-analytics-calrg2012
enquiryblogger-analytics-calrg2012
 
X api chinese cop monthly meeting april 2016
X api chinese cop monthly meeting   april 2016X api chinese cop monthly meeting   april 2016
X api chinese cop monthly meeting april 2016
 
Dispositional Learning Analytics: Learning Power in Complex Systems
Dispositional Learning Analytics: Learning Power in Complex SystemsDispositional Learning Analytics: Learning Power in Complex Systems
Dispositional Learning Analytics: Learning Power in Complex Systems
 
Layers loops and processes: learning analytics for complex learning systems
Layers loops and processes: learning analytics for complex learning systemsLayers loops and processes: learning analytics for complex learning systems
Layers loops and processes: learning analytics for complex learning systems
 
Xapi enabled mobile health system with context-awareness & recommendation eng...
Xapi enabled mobile health system with context-awareness & recommendation eng...Xapi enabled mobile health system with context-awareness & recommendation eng...
Xapi enabled mobile health system with context-awareness & recommendation eng...
 
The Future of Learning and Learning for the Future
The Future of Learning and Learning for the FutureThe Future of Learning and Learning for the Future
The Future of Learning and Learning for the Future
 
A tale of two universities - organic growth of learning analytics through bes...
A tale of two universities - organic growth of learning analytics through bes...A tale of two universities - organic growth of learning analytics through bes...
A tale of two universities - organic growth of learning analytics through bes...
 
Agenda #LALD workshop at LAK12
Agenda #LALD workshop at LAK12 Agenda #LALD workshop at LAK12
Agenda #LALD workshop at LAK12
 

Ähnlich wie An Introduction to the IMS Learning Object Discovery and Exchange (LODE) Specification

LESS - Template-based Syndication and Presentation of Linked Data for End-users
LESS - Template-based Syndication and Presentation of Linked Data for End-usersLESS - Template-based Syndication and Presentation of Linked Data for End-users
LESS - Template-based Syndication and Presentation of Linked Data for End-users
Sören Auer
 
IMS LODE and the ASPECT project
IMS LODE and the ASPECT projectIMS LODE and the ASPECT project
IMS LODE and the ASPECT project
David Massart
 
Faceted Navigation (LACASIS Fall Workshop 2005)
Faceted Navigation (LACASIS Fall Workshop 2005)Faceted Navigation (LACASIS Fall Workshop 2005)
Faceted Navigation (LACASIS Fall Workshop 2005)
Bradley Allen
 
Searching Heterogenous E Learning Resources
Searching Heterogenous E Learning ResourcesSearching Heterogenous E Learning Resources
Searching Heterogenous E Learning Resources
imranlatif
 

Ähnlich wie An Introduction to the IMS Learning Object Discovery and Exchange (LODE) Specification (20)

Knowledge Discovery in an Agents Environment
Knowledge Discovery in an Agents EnvironmentKnowledge Discovery in an Agents Environment
Knowledge Discovery in an Agents Environment
 
Semantic Web: Technolgies and Applications for Real-World
Semantic Web: Technolgies and Applications for Real-WorldSemantic Web: Technolgies and Applications for Real-World
Semantic Web: Technolgies and Applications for Real-World
 
Metadata lecture(9 17-14)
Metadata lecture(9 17-14)Metadata lecture(9 17-14)
Metadata lecture(9 17-14)
 
LESS - Template-based Syndication and Presentation of Linked Data for End-users
LESS - Template-based Syndication and Presentation of Linked Data for End-usersLESS - Template-based Syndication and Presentation of Linked Data for End-users
LESS - Template-based Syndication and Presentation of Linked Data for End-users
 
Corrib.org - OpenSource and Research
Corrib.org - OpenSource and ResearchCorrib.org - OpenSource and Research
Corrib.org - OpenSource and Research
 
IMS LODE and the ASPECT project
IMS LODE and the ASPECT projectIMS LODE and the ASPECT project
IMS LODE and the ASPECT project
 
Keynote at AgroLT 2008
Keynote at AgroLT 2008Keynote at AgroLT 2008
Keynote at AgroLT 2008
 
Linked Open Data in the World of Patents
Linked Open Data in the World of Patents Linked Open Data in the World of Patents
Linked Open Data in the World of Patents
 
Faceted Navigation (LACASIS Fall Workshop 2005)
Faceted Navigation (LACASIS Fall Workshop 2005)Faceted Navigation (LACASIS Fall Workshop 2005)
Faceted Navigation (LACASIS Fall Workshop 2005)
 
A category theoretic model of rdf ontology
A category theoretic model of rdf ontologyA category theoretic model of rdf ontology
A category theoretic model of rdf ontology
 
Metadata : Concentrating on the data, not on the scheme
Metadata : Concentrating on the data, not on the schemeMetadata : Concentrating on the data, not on the scheme
Metadata : Concentrating on the data, not on the scheme
 
CIS266 Midterm Review
CIS266 Midterm ReviewCIS266 Midterm Review
CIS266 Midterm Review
 
OAI Metadata: Why and How
OAI Metadata: Why and HowOAI Metadata: Why and How
OAI Metadata: Why and How
 
Semantic Annotation: The Mainstay of Semantic Web
Semantic Annotation: The Mainstay of Semantic WebSemantic Annotation: The Mainstay of Semantic Web
Semantic Annotation: The Mainstay of Semantic Web
 
Structured Dynamics' Semantic Technologies Product Stack
Structured Dynamics' Semantic Technologies Product StackStructured Dynamics' Semantic Technologies Product Stack
Structured Dynamics' Semantic Technologies Product Stack
 
JEM Repository for Learning Objects
JEM Repository for Learning ObjectsJEM Repository for Learning Objects
JEM Repository for Learning Objects
 
Searching Heterogenous E Learning Resources
Searching Heterogenous E Learning ResourcesSearching Heterogenous E Learning Resources
Searching Heterogenous E Learning Resources
 
Strijker, A. (2003 03 12). Standards For Re Use In Practice For
Strijker, A. (2003 03 12). Standards For Re Use In Practice ForStrijker, A. (2003 03 12). Standards For Re Use In Practice For
Strijker, A. (2003 03 12). Standards For Re Use In Practice For
 
SNSW CO3.pptx
SNSW CO3.pptxSNSW CO3.pptx
SNSW CO3.pptx
 
LOR Characteristics and Considerations
LOR Characteristics and ConsiderationsLOR Characteristics and Considerations
LOR Characteristics and Considerations
 

Mehr von David Massart

Learning Resource Exchange Infrastructure
Learning Resource Exchange InfrastructureLearning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
David Massart
 
Introduction to Metadata Standards
Introduction to Metadata StandardsIntroduction to Metadata Standards
Introduction to Metadata Standards
David Massart
 
Building a Learning Resource Exchange
Building a Learning Resource ExchangeBuilding a Learning Resource Exchange
Building a Learning Resource Exchange
David Massart
 
Information for learning object exchange
Information for learning object exchangeInformation for learning object exchange
Information for learning object exchange
David Massart
 
Introduction to the ASPECT project
Introduction to the ASPECT projectIntroduction to the ASPECT project
Introduction to the ASPECT project
David Massart
 
Learning Resource Exchange Infrastructure
Learning Resource Exchange InfrastructureLearning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
David Massart
 

Mehr von David Massart (14)

A Hands-on Introduction to MapReduce (in Python)
A Hands-on Introduction to MapReduce (in Python)A Hands-on Introduction to MapReduce (in Python)
A Hands-on Introduction to MapReduce (in Python)
 
A Data Model, Workflow, and Architecture for Integrating Data
A Data Model, Workflow, and Architecture for Integrating DataA Data Model, Workflow, and Architecture for Integrating Data
A Data Model, Workflow, and Architecture for Integrating Data
 
The Learning Resource Exchange (LRE)
The Learning Resource Exchange (LRE)The Learning Resource Exchange (LRE)
The Learning Resource Exchange (LRE)
 
The EUN Learning Resource Exchange (LRE)
The EUN Learning Resource Exchange (LRE)The EUN Learning Resource Exchange (LRE)
The EUN Learning Resource Exchange (LRE)
 
Learning Resource Exchange Infrastructure
Learning Resource Exchange InfrastructureLearning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
 
Overview of the ASPECT Project
Overview of the ASPECT ProjectOverview of the ASPECT Project
Overview of the ASPECT Project
 
Introduction to Metadata Standards
Introduction to Metadata StandardsIntroduction to Metadata Standards
Introduction to Metadata Standards
 
Building a Learning Resource Exchange
Building a Learning Resource ExchangeBuilding a Learning Resource Exchange
Building a Learning Resource Exchange
 
Content providers\' roles in the ASPECT project
Content providers\' roles in the ASPECT projectContent providers\' roles in the ASPECT project
Content providers\' roles in the ASPECT project
 
Learning Resource Exchange Overview
Learning Resource Exchange OverviewLearning Resource Exchange Overview
Learning Resource Exchange Overview
 
Information for learning object exchange
Information for learning object exchangeInformation for learning object exchange
Information for learning object exchange
 
Learning Resource Exchange for Schools: Current Infrastructure & Issues
Learning Resource Exchange for Schools: Current Infrastructure & IssuesLearning Resource Exchange for Schools: Current Infrastructure & Issues
Learning Resource Exchange for Schools: Current Infrastructure & Issues
 
Introduction to the ASPECT project
Introduction to the ASPECT projectIntroduction to the ASPECT project
Introduction to the ASPECT project
 
Learning Resource Exchange Infrastructure
Learning Resource Exchange InfrastructureLearning Resource Exchange Infrastructure
Learning Resource Exchange Infrastructure
 

KĂŒrzlich hochgeladen

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

KĂŒrzlich hochgeladen (20)

The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 

An Introduction to the IMS Learning Object Discovery and Exchange (LODE) Specification

  • 1. An Introduction to IMS LODE (Learning Object Discovery & Exchange)http://imsglobal.org/lode/ Dr. David Massart and Dr. Elena Shulman European Schoolnet July 21, 2010
  • 2. Learning Objects, Metadata, and Repositories
  • 3. Learning Objects, Metadata, and Repositories
  • 4. Learning Objects, Metadata, and Repositories
  • 5. Learning Objects, Metadata, and Repositories
  • 9. Issues Addressed by LODE How to automatically find and connect to repositories? How do you express a meaningful learning object queries? How do you deal with versions and formats? How do you manage metadata from different sources and of different standards?
  • 10. Learning Object Discovery & Exchange (LODE) specification Aims to facilitate the discovery and retrieval of learning objects stored across more than one collection Is a glue specification that profiles existing general-purpose protocols to take into account requirements specific to the educational domain, rather than creating new protocols Proposes three main data models Learning Object Repository Registry Data Model Information for Learning Object eXchange (ILOX) LODE Context Set for the Contextual Query Language (CQL)
  • 11. 1st Data Model: LODE Registry
  • 13. 2nd Data Model: Information for Learning Object eXchange (ILOX) ILOX is based on FRBR
  • 14. The ILOX Container FRBR: Work (Learning Object), Expression (version), Manifestation (format), Item (copy)
  • 15. Describing an ILOX Level: General Principles
  • 17.
  • 18.
  • 19. Customization for Level Specific Information: Expression Dimension Expression(version) Languages The same Learning Object is often available in multiple languages Coverage The same Learning Object may be available in versions tailored to meet different regional or educational systems Accessibility Versions of a Learning Object differ because they are tailored to meet specific accessibility needs of different user groups
  • 20. Description Facets for Metadata Mandatory at top level and optional lower: Main Rights/license Optional and attached at any level when appropriate Reputation Paradata Transaction Accessibility (only at Expression level)
  • 21. Reputation Facet Refers to any type of user-generated assessments of a LO (ratings, annotations, bookmarks) Aids in the object’s retrieval and rankings Can work with recommendation systems and/or support social navigation tools. No schema is specified for this facet Schema development is in progresshttps://sites.google.com/site/censocialdata/home
  • 22. Paradata Facet Any data that records meaningful actions and processes users initiate to locate and access learning objects (e.g., web server logs). Such data includes number of visits, number of downloads, etc. This data is initially collected at the item level and then can be aggregated at different upper ILOX levels using the ‘paradata’ facet. Such aggregation will track the number of times different formats of different versions of an object were accessed starting from the number of downloads of individual copies at the item level. No schema is specified for this facet
  • 23. Vocabulary Bank for Education Provides Identifiers for vocabularies and terms Translations for vocabulary terms Crosswalks between vocabularies Browsable and searchable web application for users to locate, view and download terminology Standards-based, machine-to-machine interfaces REST Can be used by validation services Stores vocabularies from other organizations
  • 24. 3rd Data Model: LODE Context Set Uses certain attributes of the objects as search terms (e.g., competency, learning resource type) Defines modifiers that allow more specific queries (e.g., language) Defines sort criteria that can be used to indicate how to sort the result set generated by the search (e.g., rating, relevance)
  • 26. Demo: ILOX at Workhttp://portal.aspect-project.org
  • 27. Demo: Vocabulary Bank for Educationhttp://aspect.vocman.com
  • 28. Appendix FRBR and LOM ILOX

Hinweis der Redaktion

  1. Learning Object:Anything digital used for learning and/or teachingLearning Object Metadata:Machine-readable description of learning resources Learning Object Repository:Software system for managing learning resources and their metadata
  2. Learning Object:Anything digital used for learning and/or teachingLearning Object Metadata:Machine-readable description of learning resources Learning Object Repository:Software system for managing learning resources and their metadata
  3. Learning Object:Anything digital used for learning and/or teachingLearning Object Metadata:Machine-readable description of learning resources Learning Object Repository:Software system for managing learning resources and their metadata
  4. Learning Object:Anything digital used for learning and/or teachingLearning Object Metadata:Machine-readable description of learning resources Learning Object Repository:Software system for managing learning resources and their metadata
  5. Ask for questions
  6. ILOX is based on FRBR
  7. Describe the FRBR terminology
  8. Give example of names and parameter – package in and thumbnail
  9. Ask for questions
  10. Ask for questions
  11. Ask for questions
  12. Ask for questions
  13. Ask for questions
  14. Managing controlled vocabularies (vocabulary and term
  15. A LOM Object = A Learning Object as envisioned in a LOM description
  16. IMS ILOX as a framework to manage and exchange “authoritative” and “non-authoritative” metadata of different natures and origins in a conceptually clean way.