lessons learnt from linkedup
DESCRIPTION
Presentation given at MAC-ETeL 2014 - Education, Teaching and E-learning Conference in Prague, Czech republic. Thursday - Friday, October 16-17, 2014TRANSCRIPT
LinkedUp Linking Web data for Education
Lessons learnt from
Marieke Guy [email protected] MAC-Etel Conference, Prague, October 16-17, 2014
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
LinkedUp
http://linkedup-project.eu
http://linkedup-challenge.org
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
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
What are out Outputs? What is our impact?
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
• Call > • Development
period > • Submission date > • Evaluation > • Shortlist > • Deliberation > • Awards
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
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
http://data.linkededucation.org/linkedup/catalog/
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
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
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
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
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
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
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…
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