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LinkedUp Linking Web data for Education Lessons learnt from Marieke Guy [email protected] MAC-Etel Conference, Prague, October 16-17, 2014

Lessons Learnt from LinkedUp

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Presentation given at MAC-ETeL 2014 - Education, Teaching and E-learning Conference in Prague, Czech republic. Thursday - Friday, October 16-17, 2014

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Page 1: Lessons Learnt from LinkedUp

LinkedUp Linking Web data for Education

Lessons learnt from

Marieke Guy [email protected] MAC-Etel Conference, Prague, October 16-17, 2014

Page 2: Lessons Learnt from LinkedUp
Page 3: Lessons Learnt from LinkedUp

LinkedUp

●  EU-funded project – November 2012 – October 2014

●  Aim: forward the exploitation and adoption of public, open

data available on the Web by educational organisations and

institutions

●  Project partners: Gottfried Wilhelm Leibniz Universität

(Germany), the Open University (UK), Open Knowledge, (UK),

Elsevier (US), the Open Universiteit (Netherlands), Lattanzio

Learning Spa (Italy).

Linking web data for education

http://linkedup-project.eu

Page 4: Lessons Learnt from LinkedUp

LinkedUp

http://linkedup-project.eu

http://linkedup-challenge.org

Page 5: Lessons Learnt from LinkedUp

Open Education Data What data are we talking about?

●  Student data: attendance, grades, skills, exams, homework ●  Course data: employability related to courses, curriculum, syllabus,

VLE data, number of textbooks, skills, digital literacy… ●  Institution data: location data, results, infrastructure, location,

student enrolment, textbook budget, teacher details… ●  User-generated data: learning analytics, assessments, performance

data, job placements, laptop data, time on tasks, use of different programmes/apps, web site data…

●  Policy/Government data: equity, budgets, spending, UNESCO literacy data, deprivation and marginalisation in education, participation data…

http://bit.ly/oeh-datasets

Page 6: Lessons Learnt from LinkedUp

Using Open Data ...to meet educational needs By supporting students ●  New tools, enriching resources, exploration, informed choices

By supporting schools and institutions ●  Learning analytics, improve efficiencies, benchmarking

By supporting governments and policy ●  Change in policy, transparency, education reform

http://bit.ly/oeh-datacs

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What are out Outputs? What is our impact?

Page 8: Lessons Learnt from LinkedUp

LinkedUp Challenge

●  Looking for interesting and innovative tools and

applications that analyse and/or integrate open web

data for educational purposes

●  Aimed at anyone from researchers and students, to

developers and businesses

●  From innovative prototypes and tools through to large-

scale deployable systems

●  Creating set of ‘open web data success stories’

Three consecutive competitions: Veni, Vidi, Vici

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•  Call > •  Development

period > •  Submission date > •  Evaluation > •  Shortlist > •  Deliberation > •  Awards

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LinkedUp Challenge

●  Veni winner: Polimedia, a tool that improves

the analyses of radio and newspaper coverage

of political debates in Holland

●  Vidi open track winner: TuvaLabs, a tool

which improves data literacy skills

●  Vidi focused track winner: Electronic

Discharge Letter (eDL) mobile app)

●  Vici winners will be announced at the ISWC

2014 next week

Winners – success stories

Page 11: Lessons Learnt from LinkedUp

LinkedUp Catalog

●  Catalogue of Web datasets relevant to educational

applications

●  Provided according to the standard of the Web of

Data (Linked Data)

●  Example data sets: bibliographic, geospacial,

administrative, learning analytics, event related,

TED talks

●  Also available on Datahub Linked Education cloud

●  Supported by LinkedUp Devtalk blog

Web datasets relevant to educational applications

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

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Evaluation Framework

●  Consists of predefined evaluation

procedures and benchmarking criteria

●  Used in LinkedUp Challenge

●  Requirements include: interdisciplinary

coverage, integration of high-quality web

data, integration with local data, context

and filtering, scalability and performance

and multilingualism.

●  Reviewed after each stage of the challenge

– resulting in a useful tool

For evaluation of open Web data applications

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LAK Challenge/Dataset

●  Linked Data (including full text) of all

publications and journals in the Learning

Analytics and Educational Data Mining

communities

●  LAK Data Challenge - annual competition

●  Asks “What do analytics on learning

analytics tell us?”

●  Interactive LAK Data workshop collocated

with the LAK Conference

Web datasets relevant to educational applications

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Open Education Working Group

●  Brings together people and groups interested in open education

●  Wants to initiate cross-sector, cross-domain, global activity that

encompasses the various facets of open education

●  Active mailing list and Twitter feed, activities are co-ordinated

through bimonthly working group calls

●  Includes open data in education, open educational content, open

learning and teaching practices and open

accreditation.

People, projects and initiatives

●  Activities include events, co-ordination of

projects, handbook, initiatives

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W3C Group

●  Focus point for the community to collect, capture and adopt

practices

●  Brings together existing initiatives and practices currently

employed to sharing education-related data on the web

●  Includes vocabularies and best practices.

●  The LinkedUp consortium will lead the community group

from late Autumn 2014.

Open Linked Education community

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Open Education Handbook

●  Targets educational practitioners and the

education community at large

●  Introduction to various open education

topics including open education data,

open education resources, learning and

teaching practice, open source tools and

open accreditation

●  Online version and open ebook format

that can be viewed online or printed

Collaboratively written living web document

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LinkedUp Toolbox

●  For open data competition organisers

●  Can be applied by those organising academic or

industry competitions

●  Has six sections each containing resources:

Competition framework; Evaluation framework;

Guidance schedule; Data; Promotion

methodology; Legal and IPR.

●  The resources are available in formats:

●  video, text, mindmaps, decision trees, Q&A

Support tool for competition organisers

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Coming to an end

LinkedUp has:

●  Enabled the building of a multi-faceted, global community

around open data in education

●  Promoted a clearer understanding of the potential of open

data in education

●  Shared a unified project message: that we want to see open

and linked data available in the education space and see

it useful and used

With results that will live on…

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Shaping Change With open education data…

Our opportunities for improvement are immense, and data provide a powerful lens to understand how we are doing internally and relative to our peers. This applies across all segments of what we do, from teaching and learning to administrative support. Performance metrics and dashboards are the beginning, but using data to understand deeper correlations and causality so we can shape change will be critical as we strive to advance our effectiveness.

David Lassner, Interim president and former chief information officer at the University of Hawaii

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