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Learning Analytics initiatives and
policies in Estonia
Adolfo Ruiz-Calleja
21st, October 2016
Index
2
 A few words about Estonia
 Learning Analytics initiatives in Estonia
 Learning Analytics policies and
implementation barriers
 Conclusions
Index
3
 A few words about Estonia
 Learning Analytics initiatives in Estonia
 Learning Analytics policies and
implementation barriers
 Conclusions
Estonia
4
Estonia: a NORDIC country
5
 1,3 million Estonians (450.000 in Tallinn)
 Policy makers are relatively accessible
 Very high penetration of technology
 520 schools, 14.000 teachers, 148.000 pupils
 3 Universities: Tartu University, Tallinn
Technical University & Tallinn University
• 94% ID Card Penetration
• 30,1% Internet Voting Usage (2015)
• 98% of Prescriptions are prescribed online
• 10.000 e-Residents
• Highest rate of start-ups per capita in Europe
• Expertise in cyber security
https://e-estonia.com/facts/
Estonia: PISA results
6
2006
World / Europe
2009
World / Europe
2012
World / Europe
Maths 14 6 17 7 11 3-6
Reading 13 8 13 5 11 3-6
Science 5 2 9 2 6 1-2
 Socio-economic status does not affect results
 The share of low-performing students is the
smallest in Europe
 Russian-speaking schools lag behind
 Only 66% of pupils feel happy at school
https://www.oecd.org/pisa/keyfindings/pisa-2012-results-overview.pdf
Estonia: Teachers
7
 High qualified teachers
 Aged teachers (47 average)
 Radical gender imbalanced among teachers
 Salaries are not the best (especially when
compared to Finland)
Estonia: Life-Long Learning Strategy 2014-2020
8
 Promotes workplace learning, informal
learning and bottom-up innovation
 Has an impact on formal education system
 “Evidence-based decision-making” principle
http://www.kogu.ee/wp-content/uploads/2014/05/Lifelong-Learning.pdf
• 1:1 computing
• BYOD
• Digital textbooks
• Redefining digital competences of teachers and students
• Self-assessment tools
Index
9
 A few words about Estonia
 Learning Analytics initiatives in Estonia
 Learning Analytics policies and
implementation barriers
 Conclusions
Research initiatives: EMMA
10
 Pan-European platform to support ICT-based
innovation in higher education
 MOOCs for 60.000 participants
 LA to create a feedback loop between
facilitators and learners
• Based on xAPI
• Visualization of the interactions
• Several dashboards
Research initiatives: EMMA
11
Research initiatives: eDidaktikum
12
 Learning environment for teacher education
 Dashboards for learners
 Dashboards for course designers
• Partnership among five teacher education institutions
• Used in Tallinn University
• Supports competence-based learning
• Enhances formal and informal communities of learners
• Emerging networks of users and resources
• Most used and less used learning resources
• Overview of task performance
• Emerging networks of users and useful resources
• Overall progress
• Competency profile
http://edidaktikum.ee
Research initiatives: eDidaktikum
13
Research initiatives: WatchMe
14
 Workplace e-assesment technology
 Evidence-based portfolios to assess and
report competences
 Use of authentic data from the workplace
http://www.project-watchme.eu
• Used in Tartu University for teacher development
Research initiatives: Learning Layers
15
 Scaling-Up technologies for informal learning
in SME
 Social-Semantic Server for Learning Analytics
 Theoretical reflection
• Micro-Service-based infrastructure
• Data model based on an Actor-Artifact Network
• Flexible infrastructure to be adaptable to different context
http://learning-layers.eu
Research initiatives: Learning Layers
16
Dennerlein, D. Kowald, E. Lex, D. Theiler, E. Lacic, T. Ley, V. Tomberg, and A. Ruiz-Calleja. “The Social
Semantic Server: A Flexible Framework to Support Informal Learning at the Workplace”. In Proceedings of
the 15th International Conference on Knowl- edge Technologies and Data-driven Business (I-KNOW 2015),
pages 26:1–26:8, Graz, Austria, 2015. Springer.
Research initiatives: Cybernetika
17
 Start-up from TTU and TU
 Sharemind: an analysis system that works
with encrypted data without decrypting it
 Why 42% of Estonian IT students drop out?
https://sharemind.cyber.ee/privacy-preserving-policy-decisions/
• Hypothesis: Because the IT industry is hiring them too hungrily
Research initiatives: Cybernetika
18
Research initiatives: Cybernetika
19
20
Research initiatives: CEITER
Mart Laanpere
Institutional Change &
Innovation in Education
Katrin Poom-Valickis
Teacher Training &
Professional Development
Adolfo Ruiz-Calleja
Learning Analytics
Infrastructures
María JesúsRodríguez
Triana
Learning Analytics
Algorithms
Paul Seitlinger
Cognition & Social
Interaction
Terje Väljataga
Learning Environments
& Collaboration
Luis Pablo Prieto
Learning Environments
& Orchestration
Tobias Ley
Professor for Learning
Analytics and
Educational Innovation
http://ceiter.tlu.ee
Research initiatives: CEITER vision
21
ekool Stadium EHIS IASÕIS LMSs
CEITER INFRASTRUCTURE
Companies Universities Schools Ministry of education
Data Infrastructure
API
Data
model
Learning Analytics service DashboardPolicy support Best practices
Research initiatives: Summary
22
 Quite a lot of things going on
 Informal network already established
 Bottom-up approach
 Strong focus on Life-Long Learning and
learning outside the classroom
• Two meetings
• Thinking on a SOLAR chapter
Index
23
 A few words about Estonia
 Learning Analytics initiatives in Estonia
 Learning Analytics policies and
implementation barriers
 Conclusions
National level
24
 Not national-level strategy on LA
 Hariduspilv (Educational cloud) and e-
SchoolBag
 Learning metadata is standardize
• Sharing, integrating and modifying services and resources
• Collaboration with the Finnish educational cloud
• Kristel Rillo is very interested in LA
https://www.hm.ee/en/activities/digital-focus/hariduspilv-education-cloud
http://www.minedu.fi/OPM/Tiedotteet/2014/01/koulutuspilvi_mom.html?lang=en
• Learning Objects
• Competences in progress
Tallinn University
25
 ÕIS is already collecting data
 Lack of University-level strategy
 Policy makers do not understand LA
 “We do not have a concrete idea, but let’s see
what data shows us”
 Ethics and privacy is not seen as a question
at all
• Lack of technical knowledge and interest by policy makers
• They do not know how to implement LA
• Students allow the TLU to use their data when enrolling
• Academic committee would deal with ethical issues
• “But there should not be issues like this ever”
Tallinn Technical University
26
 Integrate data from ÕIS, EHIS, etis.ee, socio-
demographic data…
 Main interest: detect and improve drop-out
 Six target groups to support evidence-based
decision-making
 Ethics is not seen as a real issue
• Students
• Lecturers
• CV curators
• Study department
• Head of department
• University-level
evaluation committee
Tartu University
27
 TU: Professorship on Learning Analytics
University level: Helsinki University
28
 Research-based teaching/learning
 Large-scale student feedback system
 LA initiatives are part of the University vision
for teaching and researching
 Active ethical committee
• Used to improve teaching
• Feedback for students about their learning strategy
• Clear plans to be used by other Finnish Universities
• Hannele Niemi played a key role
Conclusions
29
 A few words about Estonia
 Learning Analytics initiatives in Estonia
 Learning Analytics policies and
implementation barriers
 Conclusions
Conclusions
30
 Many LA initiatives for such a small country
 National strategy for education has a clear
impact on LA research
 Bottom-up approach + informal research
network
 Not so much support and understanding from
policy makers
Conclusions
31
Learning Analytics initiatives and
policies in Estonia
Adolfo Ruiz-Calleja
21st, October 2016
Extra: CEITER
33
Institutional
Change
and Innovation
New Learning
Environments
and Practices
Teachers and
Trainers:
Facilitators of
Learning
Learner
Interaction and
Cognition
LearningAnalytics
Digital transformation
Co-design and Living Labs
Problem-based, collaborative,
creative learning
Learning Design and
orchestration
Teacher Professional Learning
and Professionalisation
Technology-mediated
Social Learning
Cognitive basis for
new forms of learnig
DataInfrastructure,MultimodalAnalytics
Theory-drivenAlgorithmsandInfrastructures
Educational Innovation: Levels of Intervention
New Teaching and Learning Practices
Funding Sources
ASTRA
CEITER
University
Research Fund
Future Horizon
2020 Projects
Extra: CEITER
34
Community of researchers
and teachers co-design intervention
and research process
Teachers run distributed study
in their classrooms
Teachers become change agents
in their schools
Researcher collect evidence on
educational innovation
Extra: e-SchoolBag
35
Publisher e-Exam system
EIS
Koolielu.ee
OER repository
Startups
Collection of DLR
e-Koolikott
eKool (online
Gradebook service)
Learning
analytics

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Seminario eMadrid/SHEILA sobre "Analítica del Aprendizaje". Iniciativas y políticas de Analítica de Aprendizaje en Estonia. Universidad de Tallinn. 21/10/2016.

  • 1. Learning Analytics initiatives and policies in Estonia Adolfo Ruiz-Calleja 21st, October 2016
  • 2. Index 2  A few words about Estonia  Learning Analytics initiatives in Estonia  Learning Analytics policies and implementation barriers  Conclusions
  • 3. Index 3  A few words about Estonia  Learning Analytics initiatives in Estonia  Learning Analytics policies and implementation barriers  Conclusions
  • 5. Estonia: a NORDIC country 5  1,3 million Estonians (450.000 in Tallinn)  Policy makers are relatively accessible  Very high penetration of technology  520 schools, 14.000 teachers, 148.000 pupils  3 Universities: Tartu University, Tallinn Technical University & Tallinn University • 94% ID Card Penetration • 30,1% Internet Voting Usage (2015) • 98% of Prescriptions are prescribed online • 10.000 e-Residents • Highest rate of start-ups per capita in Europe • Expertise in cyber security https://e-estonia.com/facts/
  • 6. Estonia: PISA results 6 2006 World / Europe 2009 World / Europe 2012 World / Europe Maths 14 6 17 7 11 3-6 Reading 13 8 13 5 11 3-6 Science 5 2 9 2 6 1-2  Socio-economic status does not affect results  The share of low-performing students is the smallest in Europe  Russian-speaking schools lag behind  Only 66% of pupils feel happy at school https://www.oecd.org/pisa/keyfindings/pisa-2012-results-overview.pdf
  • 7. Estonia: Teachers 7  High qualified teachers  Aged teachers (47 average)  Radical gender imbalanced among teachers  Salaries are not the best (especially when compared to Finland)
  • 8. Estonia: Life-Long Learning Strategy 2014-2020 8  Promotes workplace learning, informal learning and bottom-up innovation  Has an impact on formal education system  “Evidence-based decision-making” principle http://www.kogu.ee/wp-content/uploads/2014/05/Lifelong-Learning.pdf • 1:1 computing • BYOD • Digital textbooks • Redefining digital competences of teachers and students • Self-assessment tools
  • 9. Index 9  A few words about Estonia  Learning Analytics initiatives in Estonia  Learning Analytics policies and implementation barriers  Conclusions
  • 10. Research initiatives: EMMA 10  Pan-European platform to support ICT-based innovation in higher education  MOOCs for 60.000 participants  LA to create a feedback loop between facilitators and learners • Based on xAPI • Visualization of the interactions • Several dashboards
  • 12. Research initiatives: eDidaktikum 12  Learning environment for teacher education  Dashboards for learners  Dashboards for course designers • Partnership among five teacher education institutions • Used in Tallinn University • Supports competence-based learning • Enhances formal and informal communities of learners • Emerging networks of users and resources • Most used and less used learning resources • Overview of task performance • Emerging networks of users and useful resources • Overall progress • Competency profile http://edidaktikum.ee
  • 14. Research initiatives: WatchMe 14  Workplace e-assesment technology  Evidence-based portfolios to assess and report competences  Use of authentic data from the workplace http://www.project-watchme.eu • Used in Tartu University for teacher development
  • 15. Research initiatives: Learning Layers 15  Scaling-Up technologies for informal learning in SME  Social-Semantic Server for Learning Analytics  Theoretical reflection • Micro-Service-based infrastructure • Data model based on an Actor-Artifact Network • Flexible infrastructure to be adaptable to different context http://learning-layers.eu
  • 16. Research initiatives: Learning Layers 16 Dennerlein, D. Kowald, E. Lex, D. Theiler, E. Lacic, T. Ley, V. Tomberg, and A. Ruiz-Calleja. “The Social Semantic Server: A Flexible Framework to Support Informal Learning at the Workplace”. In Proceedings of the 15th International Conference on Knowl- edge Technologies and Data-driven Business (I-KNOW 2015), pages 26:1–26:8, Graz, Austria, 2015. Springer.
  • 17. Research initiatives: Cybernetika 17  Start-up from TTU and TU  Sharemind: an analysis system that works with encrypted data without decrypting it  Why 42% of Estonian IT students drop out? https://sharemind.cyber.ee/privacy-preserving-policy-decisions/ • Hypothesis: Because the IT industry is hiring them too hungrily
  • 20. 20 Research initiatives: CEITER Mart Laanpere Institutional Change & Innovation in Education Katrin Poom-Valickis Teacher Training & Professional Development Adolfo Ruiz-Calleja Learning Analytics Infrastructures María JesúsRodríguez Triana Learning Analytics Algorithms Paul Seitlinger Cognition & Social Interaction Terje Väljataga Learning Environments & Collaboration Luis Pablo Prieto Learning Environments & Orchestration Tobias Ley Professor for Learning Analytics and Educational Innovation http://ceiter.tlu.ee
  • 21. Research initiatives: CEITER vision 21 ekool Stadium EHIS IASÕIS LMSs CEITER INFRASTRUCTURE Companies Universities Schools Ministry of education Data Infrastructure API Data model Learning Analytics service DashboardPolicy support Best practices
  • 22. Research initiatives: Summary 22  Quite a lot of things going on  Informal network already established  Bottom-up approach  Strong focus on Life-Long Learning and learning outside the classroom • Two meetings • Thinking on a SOLAR chapter
  • 23. Index 23  A few words about Estonia  Learning Analytics initiatives in Estonia  Learning Analytics policies and implementation barriers  Conclusions
  • 24. National level 24  Not national-level strategy on LA  Hariduspilv (Educational cloud) and e- SchoolBag  Learning metadata is standardize • Sharing, integrating and modifying services and resources • Collaboration with the Finnish educational cloud • Kristel Rillo is very interested in LA https://www.hm.ee/en/activities/digital-focus/hariduspilv-education-cloud http://www.minedu.fi/OPM/Tiedotteet/2014/01/koulutuspilvi_mom.html?lang=en • Learning Objects • Competences in progress
  • 25. Tallinn University 25  ÕIS is already collecting data  Lack of University-level strategy  Policy makers do not understand LA  “We do not have a concrete idea, but let’s see what data shows us”  Ethics and privacy is not seen as a question at all • Lack of technical knowledge and interest by policy makers • They do not know how to implement LA • Students allow the TLU to use their data when enrolling • Academic committee would deal with ethical issues • “But there should not be issues like this ever”
  • 26. Tallinn Technical University 26  Integrate data from ÕIS, EHIS, etis.ee, socio- demographic data…  Main interest: detect and improve drop-out  Six target groups to support evidence-based decision-making  Ethics is not seen as a real issue • Students • Lecturers • CV curators • Study department • Head of department • University-level evaluation committee
  • 27. Tartu University 27  TU: Professorship on Learning Analytics
  • 28. University level: Helsinki University 28  Research-based teaching/learning  Large-scale student feedback system  LA initiatives are part of the University vision for teaching and researching  Active ethical committee • Used to improve teaching • Feedback for students about their learning strategy • Clear plans to be used by other Finnish Universities • Hannele Niemi played a key role
  • 29. Conclusions 29  A few words about Estonia  Learning Analytics initiatives in Estonia  Learning Analytics policies and implementation barriers  Conclusions
  • 30. Conclusions 30  Many LA initiatives for such a small country  National strategy for education has a clear impact on LA research  Bottom-up approach + informal research network  Not so much support and understanding from policy makers
  • 32. Learning Analytics initiatives and policies in Estonia Adolfo Ruiz-Calleja 21st, October 2016
  • 33. Extra: CEITER 33 Institutional Change and Innovation New Learning Environments and Practices Teachers and Trainers: Facilitators of Learning Learner Interaction and Cognition LearningAnalytics Digital transformation Co-design and Living Labs Problem-based, collaborative, creative learning Learning Design and orchestration Teacher Professional Learning and Professionalisation Technology-mediated Social Learning Cognitive basis for new forms of learnig DataInfrastructure,MultimodalAnalytics Theory-drivenAlgorithmsandInfrastructures Educational Innovation: Levels of Intervention New Teaching and Learning Practices Funding Sources ASTRA CEITER University Research Fund Future Horizon 2020 Projects
  • 34. Extra: CEITER 34 Community of researchers and teachers co-design intervention and research process Teachers run distributed study in their classrooms Teachers become change agents in their schools Researcher collect evidence on educational innovation
  • 35. Extra: e-SchoolBag 35 Publisher e-Exam system EIS Koolielu.ee OER repository Startups Collection of DLR e-Koolikott eKool (online Gradebook service) Learning analytics

Notes de l'éditeur

  1. 21