semantic technologies in learning analytics
DESCRIPTION
My presentation at the pre-conference workshop of the 1st International Conference on Learning Analytics and Knoweldgehttps://tekri.athabascau.ca/analytics/TRANSCRIPT
Semantic Technologies and Learning Analytics
Dragan GaševićAthabasca University
Email: [email protected]
The Social Web is here!
What now?
Topics to discuss – morning
Semantics as a big promise Learning ecosystems Semantics and learning analytics Open (research ) challenges
Part ISemantics as a Big Promise
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
Semantic Web
Key characteristics Anyone can say anything about anything Explicit definition of the meaning
What is an ontology?
Definition(Swartout and Tate, 1999) the basic structure or armature
around which a knowledge base can be built
< 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
The Semantic Web
is NOT opposite to
the Social Web!
Semantic Web
Ontologies: Interconnecting applications Shared domain conceptualizations
Linked Data
http://richard.cyganiak.de/2007/10/lod/
Linked Data
http://richard.cyganiak.de/2007/10/lod/
Linked Data
SPARLQ end pointsThey enable data mash-ups
http://richard.cyganiak.de/2007/10/lod/
Luxembourg, 22 Nov 2010
http://www.slideshare.net/rjw/bbc-linked-data-journey
Luxembourg, 22 Nov 2010
http://www.slideshare.net/rjw/bbc-linked-data-journey
http://www.slideshare.net/rjw/bbc-linked-data-journey
Luxembourg, 22 Nov 2010
http://www.slideshare.net/rjw/bbc-linked-data-journey
Part IIILearning Ecosystems
Today’s idea of “learning”
Learning Paths
http://www.w3.org/2006/Talks/1023-sb-W3CTechSemWeb/DataServicesWebAppMetro2.jpg
Educational Ecosystems
Authoring
Reusability
Packaging
Educators
ReusabilityAdaptivityEvolutionCollaboration with educators and students
Educational Ecosystems
Authoring
Reusability
Packaging
Educators
Feedback
Learning and Collaborating
PersonalizationAdaptivityContext-awarenessSocial interaction…
Learners
Educational Ecosystems
Authoring
Reusability
Packaging Learning and Collaborating
Community
Peer-Review
Presenting
Administration
Mobile
Educators Learners
Learning (Life) not in a box!
A small part of a software engineer’s life
Learning ecosystem
…
…
…
……
A small part of a software engineer’s life
Learning Ecosystem Connect presently isolated islands -
not ecological!
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
Part IIISemantics and
Learning Analytics
“A crazy problem requires a crazy solution!”
(Griff Richards, 2005)
Learning Context Ontology: LOCO
Jovanović, J., Knight, C., Gašević, D., Richards, G., "Learning Object Context on the Semantic Web," 6th IEEE International Conference on Advanced Learning Technologies, Kerkrade, The Netherlands, 2006 pp. 669-673 (Best paper award).
Education Social Semantic Web
Combining Social and Semantic Web aspects OAST and LOCO-Analyst
LOCO-Analyst
LOCO-Analyst
Evaluation of LOCO-Analyst
Predictors of the perceived utility information about interactions of students
social networking students’ comprehension of content
collaborative tagging intuitiveness & ease-to-understand of
the presentation of the above two
Evaluation of LOCO-Analyst
Predictors of user interface perceived value students’ interaction with individual lessons
individual learning – granularity level students’ activities in
discussion forums and chat rooms social activities
students’ comprehension of studied topics collaborative tagging
Harmonization of personal & organizational goals
Jelena’s goal: Learn Catia
http://intelleo.eu
Harmonization of personal & organizational goals
Jelena’s goal: Learn Catia
CATIA - Wikipedia, the free encyclopedia
http://intelleo.eu
Harmonization of personal & organizational goals
Jelena’s goal: Learn Catia
Jelena’s profile
http://intelleo.eu
http://intelleo.eu
http://intelleo.eu
Part IV Open Challenges
Challenges
Ontology development Similar to databases –
someone needs to develop Many are already available
Challenges
Some promising clues “Little semantics goes a long way” DPpedia as a big promise (remember BBC) Ontologies and folksonomies
Challenges
Learning analytics for students Personal planning – social organizational Experience sharing
Learning analytics for organizations Learning organization & organizational learning
Discourse analysis E.g., analyze based on the CoI model
Challenges
Ubiquitous learning analytics Tool and format independent Aggregates and integrates
Visual learning analytics Ubiquitous impossible w/o visual
Information overload
http://projects.kmi.open.ac.uk/meducator/linkedlearning/
Heraklion, Greece, May 29-June 2, 2011
Submission: March 11, 2011
Submission: August 10, 2011
Learning analytics
more meaningful & ubiquitous
with semantic technologies
Thank you!