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Learning Analytics:
European Perspectives
LAK15 Panel March 18 2015
Learning Analytics Community Exchange (LACE)
#laceproject
Gathering evidence
http://evidence.laceproject.eu/
Propositions
http://evidence.laceproject.eu/
Exploring the evidence
http://evidence.laceproject.eu/
Visualising evidence
http://evidence.laceproject.eu/
You can help
http://evidence.laceproject.eu/contribute/add-evidence/
• Rebecca Ferguson, The Open University, UK
Introduction
• Alejandra Martínez Monés, University of Valladolid, Spain
Building on past collaborations
• Kairit Tammets, Tallinn University, Estonia
Work in Estonia
• Alan Berg, University of Amsterdam, The Netherlands
Work in The Netherlands
• Anne Boyer, Université de Lorraine, France
Work in France
• Hendrik Drachsler (OUNL) and Adam Cooper (Cetis), LACE
Moving forward together – the LACE project
• Questions and discussion
Learning Analytics: European
Perspectives.
Kaleidoscope NoE
Alejandra Martínez Monés
18-3-2015
Was there learning
analytics before “learning
analytics”?
LAK 15 Poughkeepsie, March 11, 2015
Let’s make a trip,
Geographically … … and in time
2004-2007 2009-2011
Learning
Analytics
Kaleidoscope
NoE
LAK 15 Poughkeepsie, March 11, 2015
Kaleidoscope NoE
• Projects related to Computer-Assisted
Interaction Analysis
– ICALTS & IA (2004-2005)
Interaction and Collaboration Analysis Supporting
Teachers’ and Students’ Self-Regulation
– CAVicola (2006)
Computer-based analysis and visualization of
Collaborative Learning activities
LAK 15 Poughkeepsie, March 11, 2015
Who?
• Researchers
– From the AIED and CSCL research communities
– Different backgrounds (Psychology, Computer Science …)
• Interest in using data provided by computer logs
to understand (collaborative) learning and help
teachers and learners improve the learning
process
LAK 15 Poughkeepsie, March 11, 2015
WE HAD A SMALL IMPACT
LAK 15 Poughkeepsie, March 11, 2015
Small impact
• A small number of researchers, coming from
the “CS” in CSCL
• Focus on understanding learning and on
providing support on a small scale
• Unstable prototypes with little usability
LAK 15 Poughkeepsie, March 11, 2015
Small impact (cont)
• We had no “name”, no “label” for what we
were doing:
• (Computer-supported) Interaction / Collaboration
Analysis
• Collaborative learning modeling
• Management of collaborative interaction
• …
LAK 15 Poughkeepsie, March 11, 2015
BUT WE HAD WORKED HARD AND
ACHIEVED SOME OUTCOMES
LAK 15 Poughkeepsie, March 11, 2015
Main outcomes
1. Conceptualization of
analysis indicators and
methods
• A catalogue of indicators
• A model of computer
supported interaction analysis
process
LAK 15 Poughkeepsie, March 11, 2015
Main outcomes
2. Focus on interoperability
– A common data format to
enable data exchange
between learning tools
and analysis tools
– Cross-case studies with
participation of all the
partners
LAK 15 Poughkeepsie, March 11, 2015
Main outcomes
3. Focus on visualization
of the analysis
– Augmentation of Social
Networks with:
• measurements and
properties
• navigability
LAK 15 Poughkeepsie, March 11, 2015
Was there learning analytics
before “learning analytics”?
LAK 15 Poughkeepsie, March 11, 2015
Recommended readings
• Harrer, A., Martínez Monés, A., Dimitracopoulou, A. Users’ data:
Collaborative and social analysis in Technology-Enhanced Learning:
Principles and Products, Springer, Netherlands, 2009.
• Nicolas Balacheff, Kristine Lund. Multidisciplinarity vs. Multivocality, the
case of "Learning Analytics”. LAK 2013 - International Conference on
Learning Analytics and Knowledge, Apr 2013, Leuven, Belgium. ACM New
York, NY, USA, pp.5-13,
LAK 15 Poughkeepsie, March 11, 2015
Learning Analytics:
European Perspectives
Estonian context
Kairit Tammets
Tallinn University
18. March 2015
Learning Analytics in Estonia
• Two state level initiatives:
– Educational resources cloud for secondary education
– eDidaktikum for teacher education
• Few research-based software development initiatives:
– Edufeedr.net
– Dippler
• Several EU funded projects with LA element:
– EMMA - European Multiple MOOC Aggregator
– Learning Layers – Scaling Up Technologies for Informal Learning in SME
Clusters
– WatchMe
eDidaktikum
• … is a learning environment for Estonian teacher education
• … partnership between five teacher education institutions
• … aims to provide knowledge construction and sharing
across the borders of educational institutions in pre-service
context
• … enhances the development of informal and formal
professional communities for teachers
• … supports competency-based learning
Learning Analytics in eDidaktikum (1)
• Instant feedback through dashboard to:
– Learners:
• Overall progress in the course based on
assignments, accessed materials, … ;
• Emerged networks of students and artefacts
based on comments in weblog, replies in forum,
accessed materials;
• Competency profile based on evidences in the
system
Learning Analytics in eDidaktikum (2)
• Instant feedback through dashboard to:
– Course designers:
• Students in fall-out position in formal courses;
• Most used and less used learning resources;
• Overview of task performance;
• Emerged networks of resources and learners;
• Competency profile of course based on evidences in
the system
Learning Analytics in eDidaktikum (3)
• Retrospective analysis in progress:
– What pedagogical patterns emerge in the eDidaktikum:
• Knowledge building – discussions, comments,
collaborative work
• Knowledge testing – mainly performing assignments;
• Knowledge storing and distributing – mainly using
eDidaktikum as repository;
Technical architecture of eD LA
• Drupal-based eDidaktikum;
• Open-source Learning Record Store Learning
Locker;
• xAPI statements between eDidaktikum and
Learning Locker
• Highcharts for visualizations on dashboards
Educational Cloud
• … initiated by Estonian Ministry of Education and
Science, will be ready in the end of 2015
• … aims to develop a digital ecosystem and toolsets for
managing and accessing digital open and commercial
resources that are produced and hosted by various
content providers
• … makes use of learning analytics at the level of
secondary education
Educational Cloud
• Cloud makes accessible for end-users (teachers, students
and parents) stored resources in the publishers’ servers,
learning resources repositories and different web services
(Youtube, Slideshare, Flickr LearningApps)
• End-users may create collections of (non-)commercial
resources, re-use and share them
• The system tracks interactions with these collections and
related resources and aggregated interaction data will be
collected in a learning record store.
Learning Analytics in Educational Cloud
LA dashboards for:
• Teachers and students:
• Recommendations about resources to use in collection
based on subject, history of browsing collections and
materials, used resources;
• Overview of collections: nr of accessing, re-using,
commenting collection.
Learning Analytics in Educational Cloud
• LA dashboards for:
– Representative of the repository (publishers,
existing digital learning resource repositories):
• Usage of the resources in different schools: most
and least used resources, number of accessing
and using of the materials;
• Overall overview of usage of resources in
collections created by students and teachers
Dippler
• … pedagogy-driven software development project (2011 -
2013) funded by Estonian Information Technology Foundation
for Education;
• … is a digital learning ecosystem intended for use in higher
education;
• … supports: self-directed learning, competence-based
education, collaborative knowledge building, task-centered
instructional design
Learning Analytics in Dippler
• Adapted activity stream: pedagogic vocabulary added to
actors, objects, verbs
• Linking events and learning resources with tasks and learning
outcomes
• Adding semantics through domain ontology keywords
(taxonomy) and user-defined tags (folksonomy)
• Using native features of Wordpress: categories and tags
EduFeedr.net
• Tool designed for monitoring blog-based
courses
• Web-based aggregator of WordPress and
Blogspot blogposts
Hans Põldoja, 2014
Hans Põldoja, 2014
Conclusion
• Learning Analytics is new for our educational sector and so far interest
object of small research group and EU funded projects
• Preparing the collaboration between Estonian and Finnish joint
educational cloud;
• Recently funded Era-Chair proposal “Cross-Border Educational
Innovation thru Technology-Enhanced Research”, aims to increase
TLU capacity in research based teacher education especially focusing
on Learning Analytics tools and methodologies;
• Plan to establish Estonian Learning Analytics SIG to involve
researchers of our universities, policy makers and industries
Used materials
• Eradze, M., Laanpere M. (2013). Analysing Learning Interactions in
Digital Learning Ecosystems based on Learning Activity Streams.
http://www.slideshare.net/martlaa/ecer13-learning-interactions
• Põldoja, H. (2013). Dippler and EduFeedr: two approaches to blog-
based course. http://www.slideshare.net/hanspoldoja/2013-1004-
dippler-edu-feedr
THANK YOU!
PhD Kairit Tammets
Centre for Educational Technology
Tallinn University
Estonia
Contact: kairit@tlu.ee
Learning Analytics
NL
OR oh dear how much time do I have?
Who am I
● Board of Directors Apereo Foundation
● Community officer Apereo LAI
● Co-Chair SIG LA SURF
● Program manager Learning Analytics UvA
● Innovation Work Group
● I like meeting new people.
● TALK TO ME :)
Special Interest Group Learning Analytics
https://www.surf.nl/diensten-en-producten/communitys-special-interest-groups-sigs/index.html
https://www.surfspace.nl/sig/18-learning-analytics/
S
U
R
F
https://www.surf.nl
Joining of the dots in the ecosphere
from the NL perspective
SOLAR
LACE
JISC
Apereo
Foundation
Universities
SURF
SIG LA
Commercial
Companies
ESUP
Schools
Kennisnet
CJKR
Grant bodies
Standards bodies
EU
Consortiums
New Faces
The success of the SIG LA can be
measured by SNA.
Picture taken from a slide by Jerone Donkers
Hackathons to share requirements
● How many Universities have built dashboards?
● How many have built them for the wrong requirements
● SURF / UvA / Apereo hackathon
● LAK15 (SOLAR, UvA, Apereo, Unicon, NWU)
o Share experience
o Share infrastructure
o Share requirements
o Share artifacts
o Meet new people
● Ethics and privacy workshops → LACE
(LA is Nicely bubbling)
● Eduworks (EU consortium)
● Apereo LAI
o OAAI, Open DashBoard, LRS
o LTI, PMML xAPI (more standards please).
● Learning Record Store
● xAPI (Unicon) enabling Sakai,uPortal, Apereo OAE
● POC’s - COACH, UvAnalytics
● Hackathon, workshops.
● Focus group LA - Stefan Mol Chair
● UvAInform: Stimulation grant for 7 pilots
UvAInform
● Establish needs across the UvA Community
● Establish priorities, synergies and economy of scale
● Gain Experience with LA Infrastructure
● Generate evidence
By pilots at Facilities ± 1000 students
UvAInform
❏ Clustered Exam Feedback
❏ COACH2 (Group mirroring)
❏ Effective Comparative Feedback
❏ Goal Setting platform
❏ Validating LA in Higher ED
❏ Assignment Criteria Validation
❏ Web Lecture Statistics
❏ Learning Record Store
❏ Open Dashboard ??
Scaling up obstacle for 2016
Data centralism and actions generated from the data
motivates the need for a central data
governance and innovation body.
UvA then NL?
Learning Analytics:
European Perspectives
Work in France
Anne Boyer
A short snapshot
• a community under construction
– several laboratories working in LA
• some national actions
– an on-going survey, with a cartography of research activity
– a workgroup about data provision to research teams & ethical
questions
– link with practitioners (as Esup Portail consortium)
• some national research projects
– PIA 1 e-education Péricles
– ANR Hubble
The PIA 1 Péricles project
• topic: quality assessment in education
• supported by "Investment for the Future”
(PIA) e-education project
• beginning: November 2012
• End: May 2016
• http://www.e-pericles.org
Administrative description
• coordinator: Jacques Dang (HEC) & a company ALTRAN
• partners:
– 1 research team
• KIWI team – LORIA lab, Université de Lorraine
– 2 digital thematic universities
• Université Ouverte des Humanités
• AUNEGE
– 4 companies:
• e-charlemagne
• Altran
• Sailendra SAS
• DEMOS France
– and many associated partners
Main objectives
• Design and experimentation of an open
source tool
– dedicated to HE institutions
– to run an quality process based on criteria
selected in a public databasis or internally defined
• Personalized recommendations of learning
resources or formation program in LLL
Scientific objectives
• Collection and exploitation of digital traces let
by learners when interacting with a repository
of OERs or with a pedagogical platform
• Design of hybrid recommenders, depending of
the available data
The Hubble project
• HUman oBservatory Based on anaLysis of e-
LEarning traces
• supported by the French national agency for
research (ANR)
• beginning: sept. 2014
• http://www.agence-nationale-recherche.fr/projet-
anr/?tx_lwmsuivibilan_pi2%5BCODE%5D=ANR-14-CE24-0015
Administrative description
• coordinator: Venda Luengo (Laboratory LIG, Grenoble)
• partners:
– 7 laboratories or research teams:
• Equipe MeTAH, Laboratory LIG, Université Grenoble Alpes
• Laboratoire LINA, Université de Nantes
• Equipe Silex, Université Claude Bernard, Lyon 1
• Equipe IEIAH, Université du Mans (MAINE)
• Equipe EduTICE, Ecole normale supérieure de Lyon
• Laboratoire STEF, Ecole normale supérieure de Cachan
• Laboratoire LabSTICC, Institut de Mines Télécom, Télécom
Bretagne
– 1 company: Entreprise OpenClassrooms
Main objectives
• creation of an observatory for the
construction and the sharing of massive data
in e-learning, of their analysis process and
their usage context
• creation of a community on Learning Analytics
Scientific objectives
• Proposition of models, languages &methods
to support all users (mostly not computer
scientists) in the interpretation of massive
traces
– traces collection and modeling
– tools to analyze traces
– means to describe analysis process for various
stakeholders
As a conclusion
• About 10 labs or teams working on Learning
Analytics
• An interdisciplinary community under
construction
The Why and How of LACE
LAK15 Panel March 18 2015
Learning Analytics European Perspectives
#laceproject
Adam Cooper
Cetis
... because it is hard to get to the top alone
Learning Analytics in Europe –
some of the issues
Union Does Not Mean Uniformity
Politically
• Lisbon Treaty
“supporting, coordinating or
complementary actions”
• Harmonisation NOT permitted
Culturally
• Pedagogy
• Organisations
• Authority and freedom
• Privacy
OptimisingSuccess?
Wehavesomeparadoxes
todealwith
76
• Research
• Suppliers
• IT
• Policy
77
Silos Do Matter
Size Does Matter
• Too small and too big
• Fragmented
– Research
– Ed Tech market
78
So... what are we doing?
79
Vision
Building bridges between research, policy and
practice to realise the potential of learning
analytics in EU.
Getting People Talking
• Ethics and privacy
workshops
• Bett
• EC-TEL, LAK
• EUNIS
• European Parliament
Capture, write,
share, sense-make
LACE website
Evidence Hub Guidance and White Papers
Modularity, Standards, Shared Infrastructure
Contribute to the
Open Learning Analytics Network
1. Open Data and Models
2. Open Research
3. Open-Source
Software/Platforms
4. Open Strategy and Policy
5. Open Learning Designs
Building a Mutually-supportive Network
84
LACE Network
LACE Consortium
We Work With Associated Partners To...
and to:
• provide mutual support in out-reach
and dissemination;
• co-organise events;
• co-author reports and provide peer-
review;
• help to join-up communities of
educators, researchers, policy-makers,
and suppliers;
• discuss emerging themes and priorities
for action;
• avoid duplication of effort and maximise
synergy.
run sessions like this
(thanks panel members!)
Join with us!
Credits
Eiger north face CC BY-SA 3.0 Terra3
http://en.wikipedia.org/wiki/Eiger#/media/File:North_face.jpg
Map of countries in Europe CC BY-SA 3..0 San Jose
http://commons.wikimedia.org/wiki/File:Europe_countries_map_en.png
Superior Portland Cement Silos - Concrete Washington - in Autumn CC BY-SA 3.0 SkagitRiverQueen
http://en.wikipedia.org/wiki/Concrete,_Washington#/media/File:Concrete_silos_in_autumn.jpg
A monocultivated potato field CC BY 2.0 NightThree
http://en.wikipedia.org/wiki/Monoculture#/media/File:Tractors_in_Potato_Field.jpg
Resist Monoculture, reclaim the commons CC BY-ND Sasha Y. Kimel
https://www.flickr.com/photos/sashakimel/8737861544/
Learning Analytics Diamond CC BY-NC-SA Aaron Zeckoski, Unicon
And with thanks to Hendrik Drachsler, OUNL, from whom I borrowed some slides and Maren Scheffel,
OUNL, who took some of the LACE event photographs.
“The Why and How of LACE” by Adam Cooper, Cetis, was presented at the
LAK15 Panel “Learning Analytics European Perspectives” on March 18 2015.
adam@cetis.org.uk
The LACE Project is supported by the European Commission Seventh Framework Programme, grant 619424.
These slides are provided under the Creative Commons Attribution Licence:
http://creativecommons.org/licenses/by/4.0/. Some images used may have different licence terms.
www.laceproject.eu
@laceproject

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LAK15 panel - European Perspectives

  • 1. Learning Analytics: European Perspectives LAK15 Panel March 18 2015 Learning Analytics Community Exchange (LACE) #laceproject
  • 7. • Rebecca Ferguson, The Open University, UK Introduction • Alejandra Martínez Monés, University of Valladolid, Spain Building on past collaborations • Kairit Tammets, Tallinn University, Estonia Work in Estonia • Alan Berg, University of Amsterdam, The Netherlands Work in The Netherlands • Anne Boyer, Université de Lorraine, France Work in France • Hendrik Drachsler (OUNL) and Adam Cooper (Cetis), LACE Moving forward together – the LACE project • Questions and discussion
  • 8. Learning Analytics: European Perspectives. Kaleidoscope NoE Alejandra Martínez Monés 18-3-2015
  • 9. Was there learning analytics before “learning analytics”? LAK 15 Poughkeepsie, March 11, 2015
  • 10. Let’s make a trip, Geographically … … and in time 2004-2007 2009-2011 Learning Analytics Kaleidoscope NoE LAK 15 Poughkeepsie, March 11, 2015
  • 11. Kaleidoscope NoE • Projects related to Computer-Assisted Interaction Analysis – ICALTS & IA (2004-2005) Interaction and Collaboration Analysis Supporting Teachers’ and Students’ Self-Regulation – CAVicola (2006) Computer-based analysis and visualization of Collaborative Learning activities LAK 15 Poughkeepsie, March 11, 2015
  • 12. Who? • Researchers – From the AIED and CSCL research communities – Different backgrounds (Psychology, Computer Science …) • Interest in using data provided by computer logs to understand (collaborative) learning and help teachers and learners improve the learning process LAK 15 Poughkeepsie, March 11, 2015
  • 13. WE HAD A SMALL IMPACT LAK 15 Poughkeepsie, March 11, 2015
  • 14. Small impact • A small number of researchers, coming from the “CS” in CSCL • Focus on understanding learning and on providing support on a small scale • Unstable prototypes with little usability LAK 15 Poughkeepsie, March 11, 2015
  • 15. Small impact (cont) • We had no “name”, no “label” for what we were doing: • (Computer-supported) Interaction / Collaboration Analysis • Collaborative learning modeling • Management of collaborative interaction • … LAK 15 Poughkeepsie, March 11, 2015
  • 16. BUT WE HAD WORKED HARD AND ACHIEVED SOME OUTCOMES LAK 15 Poughkeepsie, March 11, 2015
  • 17. Main outcomes 1. Conceptualization of analysis indicators and methods • A catalogue of indicators • A model of computer supported interaction analysis process LAK 15 Poughkeepsie, March 11, 2015
  • 18. Main outcomes 2. Focus on interoperability – A common data format to enable data exchange between learning tools and analysis tools – Cross-case studies with participation of all the partners LAK 15 Poughkeepsie, March 11, 2015
  • 19. Main outcomes 3. Focus on visualization of the analysis – Augmentation of Social Networks with: • measurements and properties • navigability LAK 15 Poughkeepsie, March 11, 2015
  • 20. Was there learning analytics before “learning analytics”? LAK 15 Poughkeepsie, March 11, 2015
  • 21. Recommended readings • Harrer, A., Martínez Monés, A., Dimitracopoulou, A. Users’ data: Collaborative and social analysis in Technology-Enhanced Learning: Principles and Products, Springer, Netherlands, 2009. • Nicolas Balacheff, Kristine Lund. Multidisciplinarity vs. Multivocality, the case of "Learning Analytics”. LAK 2013 - International Conference on Learning Analytics and Knowledge, Apr 2013, Leuven, Belgium. ACM New York, NY, USA, pp.5-13, LAK 15 Poughkeepsie, March 11, 2015
  • 22. Learning Analytics: European Perspectives Estonian context Kairit Tammets Tallinn University 18. March 2015
  • 23. Learning Analytics in Estonia • Two state level initiatives: – Educational resources cloud for secondary education – eDidaktikum for teacher education • Few research-based software development initiatives: – Edufeedr.net – Dippler • Several EU funded projects with LA element: – EMMA - European Multiple MOOC Aggregator – Learning Layers – Scaling Up Technologies for Informal Learning in SME Clusters – WatchMe
  • 24. eDidaktikum • … is a learning environment for Estonian teacher education • … partnership between five teacher education institutions • … aims to provide knowledge construction and sharing across the borders of educational institutions in pre-service context • … enhances the development of informal and formal professional communities for teachers • … supports competency-based learning
  • 25.
  • 26. Learning Analytics in eDidaktikum (1) • Instant feedback through dashboard to: – Learners: • Overall progress in the course based on assignments, accessed materials, … ; • Emerged networks of students and artefacts based on comments in weblog, replies in forum, accessed materials; • Competency profile based on evidences in the system
  • 27. Learning Analytics in eDidaktikum (2) • Instant feedback through dashboard to: – Course designers: • Students in fall-out position in formal courses; • Most used and less used learning resources; • Overview of task performance; • Emerged networks of resources and learners; • Competency profile of course based on evidences in the system
  • 28. Learning Analytics in eDidaktikum (3) • Retrospective analysis in progress: – What pedagogical patterns emerge in the eDidaktikum: • Knowledge building – discussions, comments, collaborative work • Knowledge testing – mainly performing assignments; • Knowledge storing and distributing – mainly using eDidaktikum as repository;
  • 29. Technical architecture of eD LA • Drupal-based eDidaktikum; • Open-source Learning Record Store Learning Locker; • xAPI statements between eDidaktikum and Learning Locker • Highcharts for visualizations on dashboards
  • 30.
  • 31.
  • 32. Educational Cloud • … initiated by Estonian Ministry of Education and Science, will be ready in the end of 2015 • … aims to develop a digital ecosystem and toolsets for managing and accessing digital open and commercial resources that are produced and hosted by various content providers • … makes use of learning analytics at the level of secondary education
  • 33. Educational Cloud • Cloud makes accessible for end-users (teachers, students and parents) stored resources in the publishers’ servers, learning resources repositories and different web services (Youtube, Slideshare, Flickr LearningApps) • End-users may create collections of (non-)commercial resources, re-use and share them • The system tracks interactions with these collections and related resources and aggregated interaction data will be collected in a learning record store.
  • 34. Learning Analytics in Educational Cloud LA dashboards for: • Teachers and students: • Recommendations about resources to use in collection based on subject, history of browsing collections and materials, used resources; • Overview of collections: nr of accessing, re-using, commenting collection.
  • 35. Learning Analytics in Educational Cloud • LA dashboards for: – Representative of the repository (publishers, existing digital learning resource repositories): • Usage of the resources in different schools: most and least used resources, number of accessing and using of the materials; • Overall overview of usage of resources in collections created by students and teachers
  • 36.
  • 37. Dippler • … pedagogy-driven software development project (2011 - 2013) funded by Estonian Information Technology Foundation for Education; • … is a digital learning ecosystem intended for use in higher education; • … supports: self-directed learning, competence-based education, collaborative knowledge building, task-centered instructional design
  • 38. Learning Analytics in Dippler • Adapted activity stream: pedagogic vocabulary added to actors, objects, verbs • Linking events and learning resources with tasks and learning outcomes • Adding semantics through domain ontology keywords (taxonomy) and user-defined tags (folksonomy) • Using native features of Wordpress: categories and tags
  • 39.
  • 40. EduFeedr.net • Tool designed for monitoring blog-based courses • Web-based aggregator of WordPress and Blogspot blogposts
  • 43.
  • 44.
  • 45.
  • 46. Conclusion • Learning Analytics is new for our educational sector and so far interest object of small research group and EU funded projects • Preparing the collaboration between Estonian and Finnish joint educational cloud; • Recently funded Era-Chair proposal “Cross-Border Educational Innovation thru Technology-Enhanced Research”, aims to increase TLU capacity in research based teacher education especially focusing on Learning Analytics tools and methodologies; • Plan to establish Estonian Learning Analytics SIG to involve researchers of our universities, policy makers and industries
  • 47. Used materials • Eradze, M., Laanpere M. (2013). Analysing Learning Interactions in Digital Learning Ecosystems based on Learning Activity Streams. http://www.slideshare.net/martlaa/ecer13-learning-interactions • Põldoja, H. (2013). Dippler and EduFeedr: two approaches to blog- based course. http://www.slideshare.net/hanspoldoja/2013-1004- dippler-edu-feedr
  • 48. THANK YOU! PhD Kairit Tammets Centre for Educational Technology Tallinn University Estonia Contact: kairit@tlu.ee
  • 49. Learning Analytics NL OR oh dear how much time do I have?
  • 50. Who am I ● Board of Directors Apereo Foundation ● Community officer Apereo LAI ● Co-Chair SIG LA SURF ● Program manager Learning Analytics UvA ● Innovation Work Group ● I like meeting new people. ● TALK TO ME :)
  • 51. Special Interest Group Learning Analytics https://www.surf.nl/diensten-en-producten/communitys-special-interest-groups-sigs/index.html https://www.surfspace.nl/sig/18-learning-analytics/ S U R F https://www.surf.nl
  • 52. Joining of the dots in the ecosphere from the NL perspective SOLAR LACE JISC Apereo Foundation Universities SURF SIG LA Commercial Companies ESUP Schools Kennisnet CJKR Grant bodies Standards bodies EU Consortiums New Faces
  • 53. The success of the SIG LA can be measured by SNA. Picture taken from a slide by Jerone Donkers
  • 54. Hackathons to share requirements ● How many Universities have built dashboards? ● How many have built them for the wrong requirements ● SURF / UvA / Apereo hackathon ● LAK15 (SOLAR, UvA, Apereo, Unicon, NWU) o Share experience o Share infrastructure o Share requirements o Share artifacts o Meet new people ● Ethics and privacy workshops → LACE
  • 55.
  • 56. (LA is Nicely bubbling) ● Eduworks (EU consortium) ● Apereo LAI o OAAI, Open DashBoard, LRS o LTI, PMML xAPI (more standards please). ● Learning Record Store ● xAPI (Unicon) enabling Sakai,uPortal, Apereo OAE ● POC’s - COACH, UvAnalytics ● Hackathon, workshops. ● Focus group LA - Stefan Mol Chair ● UvAInform: Stimulation grant for 7 pilots
  • 57. UvAInform ● Establish needs across the UvA Community ● Establish priorities, synergies and economy of scale ● Gain Experience with LA Infrastructure ● Generate evidence By pilots at Facilities ± 1000 students
  • 58. UvAInform ❏ Clustered Exam Feedback ❏ COACH2 (Group mirroring) ❏ Effective Comparative Feedback ❏ Goal Setting platform ❏ Validating LA in Higher ED ❏ Assignment Criteria Validation ❏ Web Lecture Statistics ❏ Learning Record Store ❏ Open Dashboard ??
  • 59. Scaling up obstacle for 2016 Data centralism and actions generated from the data motivates the need for a central data governance and innovation body. UvA then NL?
  • 61. A short snapshot • a community under construction – several laboratories working in LA • some national actions – an on-going survey, with a cartography of research activity – a workgroup about data provision to research teams & ethical questions – link with practitioners (as Esup Portail consortium) • some national research projects – PIA 1 e-education Péricles – ANR Hubble
  • 62. The PIA 1 Péricles project • topic: quality assessment in education • supported by "Investment for the Future” (PIA) e-education project • beginning: November 2012 • End: May 2016 • http://www.e-pericles.org
  • 63. Administrative description • coordinator: Jacques Dang (HEC) & a company ALTRAN • partners: – 1 research team • KIWI team – LORIA lab, Université de Lorraine – 2 digital thematic universities • Université Ouverte des Humanités • AUNEGE – 4 companies: • e-charlemagne • Altran • Sailendra SAS • DEMOS France – and many associated partners
  • 64. Main objectives • Design and experimentation of an open source tool – dedicated to HE institutions – to run an quality process based on criteria selected in a public databasis or internally defined • Personalized recommendations of learning resources or formation program in LLL
  • 65. Scientific objectives • Collection and exploitation of digital traces let by learners when interacting with a repository of OERs or with a pedagogical platform • Design of hybrid recommenders, depending of the available data
  • 66. The Hubble project • HUman oBservatory Based on anaLysis of e- LEarning traces • supported by the French national agency for research (ANR) • beginning: sept. 2014 • http://www.agence-nationale-recherche.fr/projet- anr/?tx_lwmsuivibilan_pi2%5BCODE%5D=ANR-14-CE24-0015
  • 67. Administrative description • coordinator: Venda Luengo (Laboratory LIG, Grenoble) • partners: – 7 laboratories or research teams: • Equipe MeTAH, Laboratory LIG, Université Grenoble Alpes • Laboratoire LINA, Université de Nantes • Equipe Silex, Université Claude Bernard, Lyon 1 • Equipe IEIAH, Université du Mans (MAINE) • Equipe EduTICE, Ecole normale supérieure de Lyon • Laboratoire STEF, Ecole normale supérieure de Cachan • Laboratoire LabSTICC, Institut de Mines Télécom, Télécom Bretagne – 1 company: Entreprise OpenClassrooms
  • 68. Main objectives • creation of an observatory for the construction and the sharing of massive data in e-learning, of their analysis process and their usage context • creation of a community on Learning Analytics
  • 69. Scientific objectives • Proposition of models, languages &methods to support all users (mostly not computer scientists) in the interpretation of massive traces – traces collection and modeling – tools to analyze traces – means to describe analysis process for various stakeholders
  • 70. As a conclusion • About 10 labs or teams working on Learning Analytics • An interdisciplinary community under construction
  • 71. The Why and How of LACE LAK15 Panel March 18 2015 Learning Analytics European Perspectives #laceproject Adam Cooper Cetis
  • 72. ... because it is hard to get to the top alone
  • 73. Learning Analytics in Europe – some of the issues
  • 74. Union Does Not Mean Uniformity Politically • Lisbon Treaty “supporting, coordinating or complementary actions” • Harmonisation NOT permitted Culturally • Pedagogy • Organisations • Authority and freedom • Privacy
  • 77. • Research • Suppliers • IT • Policy 77 Silos Do Matter
  • 78. Size Does Matter • Too small and too big • Fragmented – Research – Ed Tech market 78
  • 79. So... what are we doing? 79
  • 80. Vision Building bridges between research, policy and practice to realise the potential of learning analytics in EU.
  • 81. Getting People Talking • Ethics and privacy workshops • Bett • EC-TEL, LAK • EUNIS • European Parliament
  • 82. Capture, write, share, sense-make LACE website Evidence Hub Guidance and White Papers
  • 83. Modularity, Standards, Shared Infrastructure Contribute to the Open Learning Analytics Network 1. Open Data and Models 2. Open Research 3. Open-Source Software/Platforms 4. Open Strategy and Policy 5. Open Learning Designs
  • 84. Building a Mutually-supportive Network 84 LACE Network LACE Consortium
  • 85. We Work With Associated Partners To... and to: • provide mutual support in out-reach and dissemination; • co-organise events; • co-author reports and provide peer- review; • help to join-up communities of educators, researchers, policy-makers, and suppliers; • discuss emerging themes and priorities for action; • avoid duplication of effort and maximise synergy. run sessions like this (thanks panel members!)
  • 87. Credits Eiger north face CC BY-SA 3.0 Terra3 http://en.wikipedia.org/wiki/Eiger#/media/File:North_face.jpg Map of countries in Europe CC BY-SA 3..0 San Jose http://commons.wikimedia.org/wiki/File:Europe_countries_map_en.png Superior Portland Cement Silos - Concrete Washington - in Autumn CC BY-SA 3.0 SkagitRiverQueen http://en.wikipedia.org/wiki/Concrete,_Washington#/media/File:Concrete_silos_in_autumn.jpg A monocultivated potato field CC BY 2.0 NightThree http://en.wikipedia.org/wiki/Monoculture#/media/File:Tractors_in_Potato_Field.jpg Resist Monoculture, reclaim the commons CC BY-ND Sasha Y. Kimel https://www.flickr.com/photos/sashakimel/8737861544/ Learning Analytics Diamond CC BY-NC-SA Aaron Zeckoski, Unicon And with thanks to Hendrik Drachsler, OUNL, from whom I borrowed some slides and Maren Scheffel, OUNL, who took some of the LACE event photographs.
  • 88. “The Why and How of LACE” by Adam Cooper, Cetis, was presented at the LAK15 Panel “Learning Analytics European Perspectives” on March 18 2015. adam@cetis.org.uk The LACE Project is supported by the European Commission Seventh Framework Programme, grant 619424. These slides are provided under the Creative Commons Attribution Licence: http://creativecommons.org/licenses/by/4.0/. Some images used may have different licence terms. www.laceproject.eu @laceproject

Notes de l'éditeur

  1. Slide from Maren Wp3