- Semantic Technologies in Learning Environments -Promises and Challenges-
Semantic Technologies in Learning Environments -Promises and Challenges-
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Keynote presentation at CcITA 2009, Merida, Mexico, July 9, 2009
Text of Semantic Technologies in Learning Environments -Promises and Challenges-
- 1.Semantic Technologiesin Learning Environments- Promises and Challenges- Dragan Ga evi Athabasca University Email: email@example.com
3. Topics to discuss about
- Semantics as a big promise
- Promises for learning environments
- Semantics as a Big Promise
5. Semantic Web
- To create a universal medium for the exchange of data.
- to smoothly interconnectpersonal information management,enterprise application integration andthe global sharing ofcommercial, scientific and cultural data.
- Semantic Web Activity Statement http://www.w3.org/2001/sw/Activity
6. Semantic Web
- Anyone can say anything about anything
- Explicit definition of the meaning
7. RDF 8.
- The Semantic Webis NOT opposite tothe Social Web!
9. Semantic Web
- Ontologies: Interconnecting applications
- Shared domain conceptualizations
11. Learning Technology Standards
- IMS Learning Design, CP, SCORM, etc.
- Improved search and reusability
12. Learning Metadata
- Why do we need ontologies, then?
- Not a replacement for LOM
- Important complement of LOM
13. Is this all we can get?! 14.
- Promises forLearning Environments
15. Learning Design
- Situation is getting even more exciting
- Learning design with ontologies
- Good for formal verification
- Spotting issues in learning designs
- Not quite personal information management yet
16. Context is Missing!
- Andrew McAfee (Harvard University)
- SLATES paradigm search, links, authoring,tagging, extension, and signals
- Web 2.0 in Enterprise: Enterprise 2.0
17. What is that?
- Julita Vassileva (U of Saskatchewan)
- Rule: hard/impossible to impose hard rules
- Gord McCalla (U of Saskatchewan)
- Ecological approach sharing experience
18. Context is Missing! http://www.w3.org/2006/Talks/1023-sb-W3CTechSemWeb/DataServicesWebAppMetro2.jpg 19. Learning Context Authoring Reusability Packaging Educators Reusability Adaptivity Evolution Collaboration with educators and students 20. Learning Context Authoring Reusability Packaging Educators Feedback Learning and Collaborating Personalization Adaptivity Context-awareness Social interaction Learners 21. Learning Context Authoring Reusability Packaging Learning and Collaborating Community Peer-Review Presenting Administration Mobile Educators Learners 22. PersonalLearning Information Management
- Connect presently isolated islands
- Mashed up with education tools
- A crazy problem requiresa crazy solution!
24. Learning ObjectContext Ontology: LOCO
- Prerequisites, learning objectives, available time,
- Learning object used/produced
- Parts of objects and their pedagogical role
- LOCO-Analyst and iHelp Courses
- Semantically rich feedback for educators
- Learning activities of their students
- Domain topics difficult for learners
- Unusual performance of a learner/group
- Use of the deployed learning content
- Peculiarities of interactions
27. LOCO-Analyst 28. LOCO-Analyst 29. LOCO-Analyst
- Collaboration: students - educators
- Evaluation results show appreciation of
- Qualitative (over quantitative) feedback
- Integrated view onthe learning process as a whole
- Student behavior is already feedback
- DEsign Patterns Teaching Help System
- Project-based instruction
- Collaborative learning, and
31. 32. DEPTHS 33.
- Context, content, design, user model
- Similar to databases someone needs to develop
- Some ontology development lessons learned
- Lightweight ontologies: Little semantics goes a long way
- Linked with other ontologies
- Semantically-interlinked Online Communities
36. Ontology Development - LOCO 37. Ontology Development - LOCO Integration is enabled! 38. Challenges
- Ontology development tools
- Semi-automatic ontology learning
39. Educators in ontology action Text2Onto OntoGen 40.
- If we have big expectations
- Why dont we build better tools?!
- Appreciation of empirical research
- Google:constantly measuring everything that may and may not be measured
- Wiki-based (DBPedia and Semantic Media Wiki)
- Solving ambiguity of folksonomies
- Folksonomies require time and community
- Social bookmarking ( Faviki )
- Pedagogical models with new technology
- What motivates students to contribute
- E.g., present activity, career or life-long goals
- Increased interaction and p