semantic technologies in learning analytics

Semantic Technologies and Learning Analytics

Dragan GaševićAthabasca University

Email: dgasevic@acm.org

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!