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Semantic Technologies in Learning Environments -Promises and Challenges- Dragan Gašević Athabasca University Email: [email protected]

Semantic Technologies in Learning Environments -Promises and Challenges-

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Page 1: Semantic Technologies in Learning Environments -Promises and Challenges-

Semantic Technologies in Learning Environments

-Promises and Challenges-

Dragan GaševićAthabasca University

Email: [email protected]

Page 2: Semantic Technologies in Learning Environments -Promises and Challenges-

Without any prior vision

the Social Web is here!

What now?

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Topics to discuss about

Semantics as a big promise Semantics and metadata Promises for learning environments Open challenges

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Part ISemantics as a Big Promise

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Semantic Web

To create a universal medium for the exchange of data.

… to smoothly interconnect personal information management, enterprise application integration and the global sharing of commercial, scientific and cultural data.

Semantic Web Activity Statementhttp://www.w3.org/2001/sw/Activity

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Semantic Web

Key characteristics Anyone can say anything about anything Explicit definition of the meaning

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< musician: Musician rdf:ID="urn:rdf:969914d5ca929194ea18787de32c665a-1"> … <musician:name>Eric Clapton</musician:name> <musician:records rdf:resource = "http://www.guitar.org/legendaryrecordings/EC#urn:rdf:958804d5ca918084ea17676de21c887a-0"/> … </musician:Musician>

Musician

Album

Event

plays

plays at

attends

records

Admirer

Instrument

musician:records

rdf:type rdf:type

<album: Album rdf:ID="urn:rdf:958804d5ca918084ea17676de21c887a-0"> … <album:title>Unplugged</album:title> <album:year>1992</album:year> … </album:Album>

RDF

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The Semantic Web

is NOT opposite to

the Social Web!

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Semantic Web

Ontologies: Interconnecting applications Shared domain conceptualizations

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Part IISemantics and Metadata

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Learning Technology Standards

Learning metadata Learning Object Metadata IMS Learning Design, CP, SCORM, etc.

Why do need them? Improved search and reusability Promising results

SQI, ECL, GLOBE

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Learning Metadata

Why do we need ontologies, then? Not a replacement for LOM Important complement of LOM

Topic Pedagogical role Type of content Type of activities

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Is this all we can get?!

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Part IIIPromises for

Learning Environments

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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

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Context is Missing!

Andrew McAfee (Harvard University) SLATES paradigm – search, links, authoring,

tagging, extension, and signals Web 2.0 in Enterprise: Enterprise 2.0

Learning in enterprise

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What is that?

Julita Vassileva (U of Saskatchewan) “Rule: hard/impossible to impose hard rules”

Gord McCalla (U of Saskatchewan) Ecological approach – sharing experience

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Context is Missing!

http://www.w3.org/2006/Talks/1023-sb-W3CTechSemWeb/DataServicesWebAppMetro2.jpg

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Learning Context

Authoring

Reusability

Packaging

Educators

ReusabilityAdaptivityEvolutionCollaboration with educators and students

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Learning Context

Authoring

Reusability

Packaging

Educators

Feedback

Learning and Collaborating

PersonalizationAdaptivityContext-awarenessSocial interaction…

Learners

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Learning Context

Authoring

Reusability

Packaging Learning and Collaborating

Community

Peer-Review

Presenting

Administration

Mobile

Educators Learners

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Personal Learning Information Management

Connect presently isolated islands

Students/EducatorsContent•LORs•Libraries•Multimedia•Reuse

Pedagogy•User models•Adaptivity•Educational models

Collaboration•Chat•Discussion•Services

Community•Course, University, …

Portfolio•Evidence•Competencies

Peer-review•Courses•Publishing

Platforms•Mobile•Desktop Domain tools

•Mashed up with education tools

Desktop•Email•Firefox…

Authoring•Word•Frontpage•Reload…

Privacy•Policy•Identity

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“A crazy problem requires a crazy solution!”

(Griff Richards, 2005)

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Learning Object Context Ontology: LOCO

Learning context Learner(s)

Learner characteristics Learning activity

Prerequisites, learning objectives, available time, … Learning object used/produced

Parts of objects and their pedagogical role Domain concepts

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LOCO-Analyst

LOCO-Analyst and iHelp Courses

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LOCO-Analyst

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

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LOCO-Analyst

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LOCO-Analyst

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LOCO-Analyst

Collaboration: students - educators Evaluation results show appreciation of

Qualitative (over quantitative) feedback Integrated view on

the learning process as a whole Form “killing” count

Student behavior is already feedback

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DEPTHS

DEsign Patterns Teaching Help System Harmonization of

Project-based instruction Collaborative learning, and Personal learning goals

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DEPTHS

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Part IV Open Challenges

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Challenges

Ontology development Domain-independent

Context, content, design, user model Domain-specific

Domain ontologies

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Challenges

Ontology development Similar to databases –

someone needs to develop Some ontology development lessons learned

Lightweight ontologies:“Little semantics goes a long way”

Linked with other ontologies Friend of a Friend Semantically-interlinked Online Communities

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Ontology Development - LOCO

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Ontology Development - LOCO

Integration is enabled!

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Challenges

Ontology development Ontology development tools

Semi-automatic ontology learning

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Educators in ontology action

IT nonIT Total Tool met expectations Yes 29.4% 30% 29.6% No 35.3% 20% 29.6% Partly 23.5% 30% 25.9%

Text2Onto

OntoGen

IT nonIT Total Tool met expectations Yes - 30% 11.1% No 82.4% 40% 66.7% Partly 5.9% 20% 11.1%

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If we have big expectations

Why don’t we build better tools?!

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Challenges

Appreciation of empirical research Google: constantly measuring everything

that may and may not be measured

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Challenges

Ontology development Different approaches

Wiki-based (DBPedia and Semantic Media Wiki) Folksonomy-based

Solving ambiguity of folksonomies Folksonomies require time and community

Social bookmarking (Faviki)

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Challenges

Pedagogical models with new technology Technology is NOT enough What motivates students to contribute

E.g., present activity, career or life-long goals

Increased interaction and participation

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Personal Learning Information Management

Annotators Tag Cloud

Ontology Visualization

Interacts with(Modifies/Enriches)

Interacts with(Analyzes)

Is provided with feedback(Inspects)

Feedback provisioning

Learner/Instructor Content Author

USAGE TRACKING DATA + TAGS & AGGREGATIONS

LEARNING CONTENT

DOMAIN ONTOLOGIES

Interacts with:- learning content- other learners and teachersConstructs- Wikis, blogs, portfolios, & social networks

Context-Based relatedness Computation

RDF LOC Repository

stores/readsstores/reads

Office Tools

WebBlogs, Wikis,

Portfolios, Social Net.

LMS

Personal Learning Environment

Annotates- tags/highlights/comments

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Challenges

Peer, expert and user retrieval Networks and data are locked

http://media.economist.com/images/20080322/D1208WB1.jpg

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http://blog.hubspot.com/Portals/249/images//HubSpot-Making-Friends.gif

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Challenges

Peer, expert and user retrieval Networks and data are locked List of “friends” is not enough Interaction history also needed

Online presence

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Challenges

Increased usability Context-aware Proactive

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Context-aware Usability

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Context-aware Usability

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Context-aware Usability

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Challenges

Increased usability Context-aware Proactive

Privacy protection User-centered identify management OpenID is not enough!

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Personal learning

information management

More Meaningfulpersonalizedinteractive

socialcollaborativeubiquitous

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¡Muchas gracias!