State of Linked Data in Learning AnalyticsAnd future…

Schedule8.30 Intro to the tutorial Linked data and its potential in learning analytics scenarios Basics of manipulating linked data

10.30 Coffee break

11.00 Using Linked Data in Analytics Tools Evaluation of the Linked Data applications

12.30 Lunch

13.30 Introduction to the LAK Data challenge Presentations from the LAK Data Challenge particiants

15.30 Tea break

16.30 Current state of Linked Data in Learning Analytics Results of the challenge Wrap up

17.30 Finished

What is (sometimes) being done

Linked data as basic underlying data modelling

Linked data as data source

Semantic Web for ontological models and integration

Some use in recommendation

Some use in visualisation / social network analysis

Going further

SPARQL endpointSPARQL

proxy

Open Refine

Some other tool

Excel

RDF

SPARQLResults

CSV

Going further

SPARQL endpointSPARQL

proxy

Open Refine

Some other tool

Excel

RDF

SPARQLResults

CSV

BORIN

G!

From the LAK Data Challenge

Statistical analysis, network analysis

Exploration, facet search and browsing

Recommendation

Visualisation / visual analytics

Search and retrieval

Rethorical / narrative analysis

Trend Analyis

From LAK

Linked data and semantic web in the CFP… but

LAK 2013 1 paper with a strong linked data component1 tutorial (this one)

LAK 2012 1 workshop (LALD 2012)

LAK 20111 paper on semantic social analysis

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Going further

data.open.ac.uk

data.ox.ac.uk mEducator

Gephi Tableau Weka …

Lodum.de …

Results / findings / insights / aggregates / …

Interpretation

Understanding

Challenges

Data:Overview of what existIntegration – can we jointly query all of

these things?Heterogeneity, dealing with multiple

sourcesCoverage, adoption

Usage:Linked data for interpretationLinked data for enrichmentLinked data for re-purposingLinked data for result publication

Technology:Data mining in linked dataLinked data quality specificationProvenance

Skills:Development with new technologiesDealing with large, distributed dataChange with respect to usual data

management approachesMoving away from traditional

cataloguing approaches

Collecting and cataloguing data

http://data.linkededucation.org/linkedup/catalog/

Architecture

Process

CKAN-based catalogue

http://datahub.io/group/linked-education

Data browsing interface

http://data.linkededucation.org/linkedup/catalog/

SPARQL endpoint

http://data.linkededucation.org/linkedup/catalog/sparql

Vocabularies in the datasets

Types in the datasets

Lightweight-Global integration

Simple manual mapping of the types (classes) in the datasets to a set of selected vocabularies

Supporting development

http://data.linkededucation.org/linkedup/devtalk/

Education/training events

LAK 2013 tutorial Using Linked Data in Learning Analytics

WWW 2013 tutorialOpen learning and linked data Rio de Janeiro, 14th May 2013

SSSW 2013 (http://sss.org/2013) Summer School on Ontology Engineering

and the Semantic WebCercedilla (near Madrid), Spain 7-13 July 2013Deadline to apply: 12th April 2013

And of course, the Challenge!

http://linkedup-challenge.org

Take home message

Linked Data is essential to Learning Analytics: provides a flexible, reusable source of

information for all the steps of the analytics process

Still some efforts to make for a complete understanding by the Learning Analytics

community of the benefits of adopting (and learning) linked data

But, through various channels, will soon become standard practice

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