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Opening up MOOCs for
OER management on the
Web of linked data
Gilbert Paquette,
Director LICÉ Lab, Télé-université
www.licef.ca/gp
Open Education Global Conference 2015
Banff April 23 2015
Plan
Introduction
1. 2nd Generation OER repositories
2. Managing OERs on the Web of
linked data
3. Personnalizing MOOCs with OERs
Conclusion
A Decade of Evolution
 International Initiatives
 MIT, Open Courseware, MERLOT, EdNa, …
 GLOBE Consortium (Ariadne, MERLOT, LORNET, …. )
 UNTs - Universités numériques thématiques (France)
 ISO/CEI SC36 19788, Metadata for Learning Resources (MLR)
 IMS Global : IMS-LD, IMS-LODE (ILOX)
 IEEE-LTSC : competencies and portfolios
 Canadian Projects
 eduSource (2002-2004), CANCORE, PALOMA
 GTN-Québec, Normetic 1.2, Eurêka
 LORNET Research Networks (2004-2009)
 Q4R, BRER, REFRER
OER Slow adoption – Why ?
 Conservation attitude – Fear of critics.
 Sharing is not encouraged or organized.
 Closed, rigid institutional processes for OER.
 Multiplicity of IP owners.
 Multiplicity of norms and application profiles.
 Heavy indexing processes.
 Unfriendly tools and inadequate technology
Communication between norms,
standards and application profiles
.
.
.
The RDF Model as a basis for
OER
 URIs are unique identifiers for data (resources) and
vocabulary terms (concepts and properties) used at the
global scale of the Web to form relations (RDF triples).
 Each RDF triple in the can be a starting point for the
exploration of the global Web of linked data.
 The RDF model enables tracing links between data from
different sources. Information in these sources can be
combined by joining them in a single RDF graph.
 Adding to an RDF graph schema languages such as RDF-
S or OWL adds powerful inference capabilities.
 SPARQL end points can be processed by software agents
Towards a Social Semantic Web
Communication Axis
KnowledgeAxis
2.0
Social Webs
(Wikis, blogs, FB, TW…)
1.0
Documents’ Web
(URIs, HTML, HTTP)
4.0
Social Semantic Web
(Internet of Things)
3.0
Semantic Web
(RDF, RDFS, OWL, SPARQL)
C
S
ISO-MLR
 A multipart ISO standard: DC, Basic
profile, technical, education, PI,…
 Flexible evolution in time
 Respecting cultural an linguistic
diversity
 Supporting various granularity levels
(form small resources to courses)
 Reuse of other norms, standards and
specifications
 Facilitating various compatible user
extension (application profiles)
ISO-MLR and RDF
 Prevents non interoperability of application
profiles.
 Insure non-duplication and consistency of
concepts and properties (ontologies).
 Vocabulary extension preserve interoperability.
 Respect of linguistic and cultural diversity.
 Insure integrated harvesting of MLR, LOM, DC
repositories.
 Enables search on the Web of linked data.
ISO-MLR (section 5)
RDF Model of alearning scenario
(using our GMOT editor)
Plan
Introduction
1. 2nd Generation OER repositories
2. Managing OERs on the Web of
linked data
3. Personnalizing MOOCs with OERs
Conclusion
BRER Project – 2011-2014
1. Portal and references -
www.brer.licef.ca
2. Quality for reuse process (Q4R),
methodological guides to support
repository implementations.
3. COMÈTE – a mature 2nd generation
OER manager for the Web of data
and ISO-MLR.
CERES Repository (> 40 000 resources)
http://ceres.vteducation.org/?lang=en
From table to RDF graph
On the
Web of
data
ENDREA Portal
Vocabulary - Equivalence
REFRER Portal
COMÈTE Interoperability
 Multiple metadata support, including
 Dublin Core (DC)
 IEEE 1484.12.1–2002 Learning Object Metadata (LOM)
 ISO/IEC 19788 Metadata for learning resource (MLR)
 Identity management
 for person and organization
 automatic recognition and aggregation
 Vocabulary management
 SKOS, VDEX
 DEWEY equivalencies
COMÈTE architecture
Components and Data formats
 Project portal
 queries
 thematic navigation
 collections
 Content syndication
 RSS
 Atom
 SPARQL Endpoint
 RDF/XML
 Turtle
 JSON
 Linked Data
 HTML
 RDF/XML
 OAI-PMH exposition
 MLR
 LOM
 Dublin Core
 Metadata records
 on the fly
COMÈTE Main assets
 Semantic referencing on the Web of data
 Inter-formats, inter-vocabularies, inter-linguistic
queries
 Queries combining resource, actors,iorganizations
knowledge properties
 Adaptability to various metadata formats
 Use case #1 : finding OERs to build or adapt
MOOCs
 Use case #2 : Building MOOC repositories with
elaborated search capability.
Plan
Introduction
1. 2nd Generation OER repositories
2. Managing OERs on the Web of
linked data
3. Personnalizing MOOCs with OERs
Conclusion
From OERs to MOOCs
 MOOCs must be OERs aggregates …so that MOOCs
are really open.
 MOOCs are large OERs (modules) grouping all kinds of
resources: actors, documents, tools, activivities,
scenarios
 MOOCs require OER management by learners and
facilitators.
 MOOC platforms and portals should provide OER
management for referencing, search, adaptation,
recontextualisation, integration
Research challenge:
Massive vs Personalization
Sustain designers for the personalization of
MOOC scenarios
 Integrate various forms of LD adaptation
(ITS, Recommenders, …)
 Provide options and resource alternatives,
“liberty to learn” (C. Rogers)
 Support self-management of learning –>
resource management
Personalized learning puts in priority the needs, interests
and goals of learners, taking in account their learning
styles, competencies, culture, etc.
Quality <= Personalized <= Open
Adapt xMOOC scenarios
 Add a classifying module (competency self
assessment, peer assessment, automatic
question-answering)
 Provide options suited for a sub-group
 Integrate recommenders/advisors on critical
activities
 Define rules that consult the learner’s
competency profile (or e-portfolio)
Open participative environments
 Environments design that continue after the initial
delivery of a course.
 Environments that combine OERs specific to a
course with resources in a learner’s personal
environments.
 Resources created or modified by learners using
social web tools, promoting emergent learning.
 Sharing design partly between facilitators and
learners.
Designing a MOOC using the
COMETE OER Manager
Store
Search &
Integrate
Indexing courses in MOOC’s
portal
We have…
 Presented a solution to one of the main problems in
Open Educational Resources repositories: multiplicity of
norms, standards and application profiles
 Built COMETE a first Linked data OER repository
manager, largely complying to the new ISO-MLR
standard.
 Proposed Its use for referencing MOOC and MOOC
components using RDF triples would become an asset
as the number in massive online courses is growing
rapidly in most countries.
 ææ
Comments ?
Questions ?
Gilbert Paquette,
Director LICÉ Lab, Télé-université
www.licef.ca/gp
Open Education Global Conference 2015
Banff April 23 2015

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Opening up MOOCs for OER management on the Web of linked data

  • 1. Opening up MOOCs for OER management on the Web of linked data Gilbert Paquette, Director LICÉ Lab, Télé-université www.licef.ca/gp Open Education Global Conference 2015 Banff April 23 2015
  • 2. Plan Introduction 1. 2nd Generation OER repositories 2. Managing OERs on the Web of linked data 3. Personnalizing MOOCs with OERs Conclusion
  • 3. A Decade of Evolution  International Initiatives  MIT, Open Courseware, MERLOT, EdNa, …  GLOBE Consortium (Ariadne, MERLOT, LORNET, …. )  UNTs - Universités numériques thématiques (France)  ISO/CEI SC36 19788, Metadata for Learning Resources (MLR)  IMS Global : IMS-LD, IMS-LODE (ILOX)  IEEE-LTSC : competencies and portfolios  Canadian Projects  eduSource (2002-2004), CANCORE, PALOMA  GTN-Québec, Normetic 1.2, Eurêka  LORNET Research Networks (2004-2009)  Q4R, BRER, REFRER
  • 4. OER Slow adoption – Why ?  Conservation attitude – Fear of critics.  Sharing is not encouraged or organized.  Closed, rigid institutional processes for OER.  Multiplicity of IP owners.  Multiplicity of norms and application profiles.  Heavy indexing processes.  Unfriendly tools and inadequate technology
  • 5. Communication between norms, standards and application profiles . . .
  • 6. The RDF Model as a basis for OER  URIs are unique identifiers for data (resources) and vocabulary terms (concepts and properties) used at the global scale of the Web to form relations (RDF triples).  Each RDF triple in the can be a starting point for the exploration of the global Web of linked data.  The RDF model enables tracing links between data from different sources. Information in these sources can be combined by joining them in a single RDF graph.  Adding to an RDF graph schema languages such as RDF- S or OWL adds powerful inference capabilities.  SPARQL end points can be processed by software agents
  • 7. Towards a Social Semantic Web Communication Axis KnowledgeAxis 2.0 Social Webs (Wikis, blogs, FB, TW…) 1.0 Documents’ Web (URIs, HTML, HTTP) 4.0 Social Semantic Web (Internet of Things) 3.0 Semantic Web (RDF, RDFS, OWL, SPARQL) C S
  • 8. ISO-MLR  A multipart ISO standard: DC, Basic profile, technical, education, PI,…  Flexible evolution in time  Respecting cultural an linguistic diversity  Supporting various granularity levels (form small resources to courses)  Reuse of other norms, standards and specifications  Facilitating various compatible user extension (application profiles)
  • 9. ISO-MLR and RDF  Prevents non interoperability of application profiles.  Insure non-duplication and consistency of concepts and properties (ontologies).  Vocabulary extension preserve interoperability.  Respect of linguistic and cultural diversity.  Insure integrated harvesting of MLR, LOM, DC repositories.  Enables search on the Web of linked data.
  • 11. RDF Model of alearning scenario (using our GMOT editor)
  • 12. Plan Introduction 1. 2nd Generation OER repositories 2. Managing OERs on the Web of linked data 3. Personnalizing MOOCs with OERs Conclusion
  • 13. BRER Project – 2011-2014 1. Portal and references - www.brer.licef.ca 2. Quality for reuse process (Q4R), methodological guides to support repository implementations. 3. COMÈTE – a mature 2nd generation OER manager for the Web of data and ISO-MLR.
  • 14. CERES Repository (> 40 000 resources) http://ceres.vteducation.org/?lang=en
  • 15. From table to RDF graph
  • 20. COMÈTE Interoperability  Multiple metadata support, including  Dublin Core (DC)  IEEE 1484.12.1–2002 Learning Object Metadata (LOM)  ISO/IEC 19788 Metadata for learning resource (MLR)  Identity management  for person and organization  automatic recognition and aggregation  Vocabulary management  SKOS, VDEX  DEWEY equivalencies
  • 22. Components and Data formats  Project portal  queries  thematic navigation  collections  Content syndication  RSS  Atom  SPARQL Endpoint  RDF/XML  Turtle  JSON  Linked Data  HTML  RDF/XML  OAI-PMH exposition  MLR  LOM  Dublin Core  Metadata records  on the fly
  • 23. COMÈTE Main assets  Semantic referencing on the Web of data  Inter-formats, inter-vocabularies, inter-linguistic queries  Queries combining resource, actors,iorganizations knowledge properties  Adaptability to various metadata formats  Use case #1 : finding OERs to build or adapt MOOCs  Use case #2 : Building MOOC repositories with elaborated search capability.
  • 24. Plan Introduction 1. 2nd Generation OER repositories 2. Managing OERs on the Web of linked data 3. Personnalizing MOOCs with OERs Conclusion
  • 25. From OERs to MOOCs
  • 26.  MOOCs must be OERs aggregates …so that MOOCs are really open.  MOOCs are large OERs (modules) grouping all kinds of resources: actors, documents, tools, activivities, scenarios  MOOCs require OER management by learners and facilitators.  MOOC platforms and portals should provide OER management for referencing, search, adaptation, recontextualisation, integration
  • 27. Research challenge: Massive vs Personalization Sustain designers for the personalization of MOOC scenarios  Integrate various forms of LD adaptation (ITS, Recommenders, …)  Provide options and resource alternatives, “liberty to learn” (C. Rogers)  Support self-management of learning –> resource management Personalized learning puts in priority the needs, interests and goals of learners, taking in account their learning styles, competencies, culture, etc. Quality <= Personalized <= Open
  • 28. Adapt xMOOC scenarios  Add a classifying module (competency self assessment, peer assessment, automatic question-answering)  Provide options suited for a sub-group  Integrate recommenders/advisors on critical activities  Define rules that consult the learner’s competency profile (or e-portfolio)
  • 29. Open participative environments  Environments design that continue after the initial delivery of a course.  Environments that combine OERs specific to a course with resources in a learner’s personal environments.  Resources created or modified by learners using social web tools, promoting emergent learning.  Sharing design partly between facilitators and learners.
  • 30. Designing a MOOC using the COMETE OER Manager Store Search & Integrate
  • 31. Indexing courses in MOOC’s portal
  • 32. We have…  Presented a solution to one of the main problems in Open Educational Resources repositories: multiplicity of norms, standards and application profiles  Built COMETE a first Linked data OER repository manager, largely complying to the new ISO-MLR standard.  Proposed Its use for referencing MOOC and MOOC components using RDF triples would become an asset as the number in massive online courses is growing rapidly in most countries.  ææ
  • 33. Comments ? Questions ? Gilbert Paquette, Director LICÉ Lab, Télé-université www.licef.ca/gp Open Education Global Conference 2015 Banff April 23 2015

Editor's Notes

  1. MOOC - CLOM augmentation rapide des besoins de formation avancée générée par la société du savoir ; importance accrue des compétences de plus haut niveau pour la nouvelle économie ; nouveaux modes d'apprentissage rendus possibles par l'évolution des technologies de l’information (Web social, Web sémantique) ; accessibilité plus grande requise de la formation en ligne gratuite hors-université favorisant l’apprentissage à vie.
  2. Aujourd'hui, l'utilisation du Web est omniprésente dans les organisations. Y coexistent les trois générations du Web, à commencer par le Web de documents ou Web 1.0, caractérisé par l'usage des URLs ou URIs pour localiser les documents, le langage HTML pour écrire les pages Web et le protocole HTTP pour le transfert des informations sur les réseaux. ____________________ Le Web social ou Web 2.0 n'est pas un autre réseau. C'est une extension du Web de documents axée sur la communication et la collaboration à travers les Wikis, les blogues et les réseaux sociaux. Un énorme volume d'information passe à travers ces différents outils de communication dont une très faible partie est retenue par les organisations, en partie parce qu'elle réside dans les serveurs propriétaires des grandes entreprises du Web 2.0 tels que Facebook ou Google. ____________________ Le Web sémantique ou Web 3.0 est lui aussi une extension du Web de documents et du Web social. À la différence de ces deux générations du Web, le Web sémantique s'intéresse au traitement des connaissances, ce qui en fait un incontournable outil pour la gestion des connaissances. Il se distingue en donnant accès aux données qui alimentent les pages du Web 1.0 et du Web 2.0 ----et aussi en liant ces données entre elles, quelle que soit leur provenance, à l'aide des technologies sémantique: une représentation en forme de graphe ---- des vocabulaires de concepts sous forme d’ontologies ----interrogeable par un langage de requête, SPARQL, capable de tenir compte de liens entre données. Le Web sémantique représente dans un graphe de données, non seulement les ressources-documents, mais les objets du monde réel, notamment les personnes, ainsi que les concepts abstraits, fournissant ainsi un sens aux texte des documents. __________ Le Web sémantique a donc la capacité de créer un véritable Web intégré, capables d'inférences et d'applications plus intelligentes que par le passé
  3. Client, server, storage Left side: portal, collections, linked data, SPARQL Realtionale database still used in ORI and harvesting Ratio 15 triples per record/ 20000 LOM ressources generate 300,000 triples Max triples in Mulgara : 500 million, room for 30 million
  4. FOAD : 1972 ; centaine d’Universités ouvertes partout dans le monde; FOAD en ligne depuis 1992 REL: 2002 MIT Open CourseWare;
  5. Le principal enjeu dans le mouvement des ressources éducatives libres est la réutilisation des ressources de qualité visibles et accessibles sur les réseaux. Mais la réutilisation des ressources éducatives demande, non seulement de les choisir avec soin, mais surtout de les adapter et de les recontextualiser en tenant compte des publics cibles, de l’écart de connaissances et de compétences à combler, et du contexte socio-culturel de leur utilisation. Cette étape cruciale mobilise un processus central : l’ingénierie pédagogique, lequel doit intégrer toutes ces dimensions et d’autres.
  6. MOOC - CLOM augmentation rapide des besoins de formation avancée générée par la société du savoir ; importance accrue des compétences de plus haut niveau pour la nouvelle économie ; nouveaux modes d'apprentissage rendus possibles par l'évolution des technologies de l’information (Web social, Web sémantique) ; accessibilité plus grande requise de la formation en ligne gratuite hors-université favorisant l’apprentissage à vie.