SlideShare une entreprise Scribd logo
1  sur  15
Towards Open Architectures and
Interoperability for Learning Analytics
Tore Hoel
Oslo and Akershus University College of Applied Sciences
Norway
Institutional Readiness Day, Amsterdam - 2015-12-10
LACE Reports
on Interoperability and Data Sharing
Quick Guides to who is doing
standards and what standards
should be considered
New Report on Interoperability
and Data Sharing:
Requirements, Specification,
Adoption and Practice
3
What are the keys to make LA work?
• Access to data
• Institutional strategies
• Good predictive models
• Engagement and trust among students and faculty
• Interoperability standards
• Well designed tools
4
What is the stumbling block?
Lack of trust
5
The Learning Analytics
Landscape
What
standards
are
needed?
6
An architecture for learning analytics
Which pedagogical scenarios
are we able to accommodate
in an Open LA Architecture?
Characteristics of Educational Big Data
• Grain size of recordable and analysable data has become smaller
– every pen stroke, every keystroke is recorded
• Sources of evidence are (more) varied
– tests, essay scoring, learning games, social interactions, affects,
body sensors, intelligent tutors, simulations, semantic mapping,
LMS data…
– Unstructured (e.g., . log files, clicks, timestamps)
– When structured different schemas are used
• How do we bring these data together to form a overall view of an
individual learner or a cohort of learners?
7
(Cope, B., & Kalantzis, M., 2015)
What data practices are emerging?
• Multi-scalar Data Collection
– Embedded, simultaneous collection of data that can be used
for different purposes at different scales
– Semantically legible datapoint (learner-actionable feedback):
«teachable moment»
• Self-describing, structured data ➔ meanings immediately evident
to learners, teachers, others
• Sample size n= all
• Data and interventions are not separate: Recursive micro
intervention ➔ result➔ redesign cycles
• More widely distributed data collection roles
8
(Cope, B., & Kalantzis, M., 2015)
Need for new Education Data Standards
supporting Learning Analytics
• Harmonization of Activity Stream Specifications (ADL xAPI, IMS
Caliper, W3C Activity Streams)
• Building Vocabularies – Profiles – Recipes – Communities of
Practice
• Storage designs – centralised data warehouses or distributed
Learning Record/Event Stores
• Extract, Transform and Load (ETL) tools for data storage
• Privacy and Data Protection – how to do Privacy-by-design in this
field?
• Sharing of Algorithms and Predictive Models
9
Challenges for standardisation
• Privacy and Data Ownership issues – how to turn these «soft»
requirements into «hard» ones?
• The role of Personal Data Stores in Learning Analytics
• Harmonization of data schemes prior to analysis
• Import / export facilities with ontology building (and automatic
reasoning technologies) as part of the storage solutions
• Publishing and Sharing of data for research and comparison and
testing of predictive models, student models, etc.
10
Challenges of design of new interoperable
solutions
• Understanding the processes
• Understanding where the data come from
• Piloting new solutions
• Working with standards organisations to ensure interoperability
• Industry consortia
• Advanced Distributed Learning (ADL)
• IMS Global Learning
• Apereo
• Formal standardisation
• ISO/IEC JTC 1/SC36 Working Group 8 on Learning Analytics
• CEN?
11
Initial understanding of LA process
( ISO/IEC JTC 1/SC36/WG8)
12Draft figure from new LA Framework model
Updated understanding of LA process
(SC36/WG8)
13Draft figure from new LA Framework model
A European Agenda for LA Interoperability?
• European requirements?
• xAPI and IEEE – the European stumbling block
• IMS Caliper – US vendor centric development
• Who will provide leadership in standardisation in Europe?
• CEN instruments are put on hold
• No pan-European instruments for harmonisation in LA
• JISC OLAA is a trail blazer for exploring this field and provide
leadership for Higher Ed in a particular country
• SOLAR and Apereo Foundation offer opportunities for
collaboration between research community and standards
experts
Hoel, T. (2015). Towards Open Architectures and Interoperability for Learning
Analytics. Presentation at Institutional Readiness Days, Amsterdam, the
Netherlands, 2015-12-10
The European LACE project builds a Community of Interest on Learning
Analytics – check out laceproject.eu
tore.hoel@hioa.no
@tore
This work was undertaken as part of the LACE Project, 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
16

Contenu connexe

Tendances

Master Operations Research and Management Science 2014
Master Operations Research and Management Science 2014Master Operations Research and Management Science 2014
Master Operations Research and Management Science 2014TiSEM_TiU
 
Academic IT support for Data Science
Academic IT support for Data ScienceAcademic IT support for Data Science
Academic IT support for Data ScienceSimon Price
 
The Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same TimeThe Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same TimeLIBER Europe
 
Unlocking the uk's thesis data through persistent identifiers
Unlocking the uk's thesis data through persistent identifiersUnlocking the uk's thesis data through persistent identifiers
Unlocking the uk's thesis data through persistent identifiersJisc
 
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...ASIS&T
 
Learning Analytics as a Research Method: a hands-on teaser
Learning Analytics as a Research Method: a hands-on teaserLearning Analytics as a Research Method: a hands-on teaser
Learning Analytics as a Research Method: a hands-on teaserManolis Mavrikis
 
20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...
20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...
20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...OpenAIRE
 
Data Analytics.03. Data processing
Data Analytics.03. Data processingData Analytics.03. Data processing
Data Analytics.03. Data processingAlex Rayón Jerez
 
Creating data dashboards to support planning
Creating data dashboards to support planningCreating data dashboards to support planning
Creating data dashboards to support planningMarieke Guy
 
Growing a Culture for Change at The University of Manchester Library. Penny H...
Growing a Culture for Change at The University of Manchester Library. Penny H...Growing a Culture for Change at The University of Manchester Library. Penny H...
Growing a Culture for Change at The University of Manchester Library. Penny H...LIBER Europe
 
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...LIBER Europe
 
Lak2018: Scaling Nationally: Seven Lesson Learned
Lak2018:  Scaling Nationally: Seven Lesson LearnedLak2018:  Scaling Nationally: Seven Lesson Learned
Lak2018: Scaling Nationally: Seven Lesson Learnedmwebbjisc
 
Positioning and Navigation: Services for Open Educational Practices
Positioning and Navigation: Services for Open Educational PracticesPositioning and Navigation: Services for Open Educational Practices
Positioning and Navigation: Services for Open Educational PracticesMarco Kalz
 
Group Concpet Mapping Learning Analytics @ LASI Amsterdam
Group Concpet Mapping Learning Analytics @ LASI Amsterdam Group Concpet Mapping Learning Analytics @ LASI Amsterdam
Group Concpet Mapping Learning Analytics @ LASI Amsterdam Hendrik Drachsler
 
Unlocking thesis data through persistent identifiers
Unlocking thesis data through persistent identifiersUnlocking thesis data through persistent identifiers
Unlocking thesis data through persistent identifiersLondon South Bank University
 
Privacy in Learning Analytics – Implications for System Architecture
Privacy in Learning Analytics – Implications for System ArchitecturePrivacy in Learning Analytics – Implications for System Architecture
Privacy in Learning Analytics – Implications for System ArchitectureTore Hoel
 
ePortfolios in ActiveMath
ePortfolios in ActiveMathePortfolios in ActiveMath
ePortfolios in ActiveMathMartin Homik
 
Jisc research data shared service overview IDCC 2016
Jisc research data shared service overview IDCC 2016Jisc research data shared service overview IDCC 2016
Jisc research data shared service overview IDCC 2016Jisc RDM
 
Fueling the open data economy
Fueling the open data economy Fueling the open data economy
Fueling the open data economy Elena Simperl
 

Tendances (20)

Master Operations Research and Management Science 2014
Master Operations Research and Management Science 2014Master Operations Research and Management Science 2014
Master Operations Research and Management Science 2014
 
Academic IT support for Data Science
Academic IT support for Data ScienceAcademic IT support for Data Science
Academic IT support for Data Science
 
The Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same TimeThe Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same Time
 
Unlocking the uk's thesis data through persistent identifiers
Unlocking the uk's thesis data through persistent identifiersUnlocking the uk's thesis data through persistent identifiers
Unlocking the uk's thesis data through persistent identifiers
 
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
RDAP 15: Virginia Tech University Libraries’ Data Service Pilot with the Coll...
 
Learning Analytics as a Research Method: a hands-on teaser
Learning Analytics as a Research Method: a hands-on teaserLearning Analytics as a Research Method: a hands-on teaser
Learning Analytics as a Research Method: a hands-on teaser
 
20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...
20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...
20190527_Marc Vanholsbeeck_Open Science monitoring and the notion of research...
 
Data Analytics.03. Data processing
Data Analytics.03. Data processingData Analytics.03. Data processing
Data Analytics.03. Data processing
 
Creating data dashboards to support planning
Creating data dashboards to support planningCreating data dashboards to support planning
Creating data dashboards to support planning
 
Growing a Culture for Change at The University of Manchester Library. Penny H...
Growing a Culture for Change at The University of Manchester Library. Penny H...Growing a Culture for Change at The University of Manchester Library. Penny H...
Growing a Culture for Change at The University of Manchester Library. Penny H...
 
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
COUNTER Standards for Open Access: The Value of Measuring/The Measuring of Va...
 
Lak2018: Scaling Nationally: Seven Lesson Learned
Lak2018:  Scaling Nationally: Seven Lesson LearnedLak2018:  Scaling Nationally: Seven Lesson Learned
Lak2018: Scaling Nationally: Seven Lesson Learned
 
Positioning and Navigation: Services for Open Educational Practices
Positioning and Navigation: Services for Open Educational PracticesPositioning and Navigation: Services for Open Educational Practices
Positioning and Navigation: Services for Open Educational Practices
 
2012.10 - DDI Lifecycle - Moving Forward
2012.10 - DDI Lifecycle - Moving Forward2012.10 - DDI Lifecycle - Moving Forward
2012.10 - DDI Lifecycle - Moving Forward
 
Group Concpet Mapping Learning Analytics @ LASI Amsterdam
Group Concpet Mapping Learning Analytics @ LASI Amsterdam Group Concpet Mapping Learning Analytics @ LASI Amsterdam
Group Concpet Mapping Learning Analytics @ LASI Amsterdam
 
Unlocking thesis data through persistent identifiers
Unlocking thesis data through persistent identifiersUnlocking thesis data through persistent identifiers
Unlocking thesis data through persistent identifiers
 
Privacy in Learning Analytics – Implications for System Architecture
Privacy in Learning Analytics – Implications for System ArchitecturePrivacy in Learning Analytics – Implications for System Architecture
Privacy in Learning Analytics – Implications for System Architecture
 
ePortfolios in ActiveMath
ePortfolios in ActiveMathePortfolios in ActiveMath
ePortfolios in ActiveMath
 
Jisc research data shared service overview IDCC 2016
Jisc research data shared service overview IDCC 2016Jisc research data shared service overview IDCC 2016
Jisc research data shared service overview IDCC 2016
 
Fueling the open data economy
Fueling the open data economy Fueling the open data economy
Fueling the open data economy
 

Similaire à Towards Open Architectures and Interoperability for Learning Analytics

Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisationLearning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisationTore Hoel
 
2015-05-13 research-seminar
2015-05-13 research-seminar2015-05-13 research-seminar
2015-05-13 research-seminarifi8106tlu
 
Privacy-driven design of Learning Analytics applications – exploring the desi...
Privacy-driven design of Learning Analytics applications – exploring the desi...Privacy-driven design of Learning Analytics applications – exploring the desi...
Privacy-driven design of Learning Analytics applications – exploring the desi...Tore Hoel
 
Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014
Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014
Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014LACE Project
 
Learning analytics the good the bad & the ugly
Learning analytics the good the bad & the uglyLearning analytics the good the bad & the ugly
Learning analytics the good the bad & the uglyEduworks Network
 
Presenting the LACE project at EDEN 14 Zagreb
Presenting the LACE project at EDEN 14 ZagrebPresenting the LACE project at EDEN 14 Zagreb
Presenting the LACE project at EDEN 14 ZagrebTore Hoel
 
L yuan alt c 3
L yuan alt c 3L yuan alt c 3
L yuan alt c 3cetisli
 
Scalable Learning Analytics and Interoperability – an assessment of potential...
Scalable Learning Analytics and Interoperability – an assessment of potential...Scalable Learning Analytics and Interoperability – an assessment of potential...
Scalable Learning Analytics and Interoperability – an assessment of potential...LACE Project
 
Dr. Gábor Kismihók: Labour Market driven Learning Analytics
Dr. Gábor Kismihók: Labour Market driven Learning AnalyticsDr. Gábor Kismihók: Labour Market driven Learning Analytics
Dr. Gábor Kismihók: Labour Market driven Learning AnalyticsTextkernel
 
Data Science for Every Student at RPI
Data Science for Every Student at RPIData Science for Every Student at RPI
Data Science for Every Student at RPISteven Miller
 
Grand Challenges Learning Analytics
Grand Challenges Learning AnalyticsGrand Challenges Learning Analytics
Grand Challenges Learning Analyticsamberg
 
Smart Learning Environments - a framework for standardisation?
Smart Learning Environments - a framework for standardisation?Smart Learning Environments - a framework for standardisation?
Smart Learning Environments - a framework for standardisation?Tore Hoel
 
Requirements for Learning Analytics
Requirements for Learning AnalyticsRequirements for Learning Analytics
Requirements for Learning AnalyticsTore Hoel
 
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...eMadrid network
 
AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...
AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...
AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...Dominik Kowald
 
Griffiths lace workshop-eden-2016
Griffiths lace workshop-eden-2016Griffiths lace workshop-eden-2016
Griffiths lace workshop-eden-2016Dai Griffiths
 
Big data in education
Big data in educationBig data in education
Big data in educationMart Laanpere
 

Similaire à Towards Open Architectures and Interoperability for Learning Analytics (20)

Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisationLearning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
 
2015-05-13 research-seminar
2015-05-13 research-seminar2015-05-13 research-seminar
2015-05-13 research-seminar
 
Privacy-driven design of Learning Analytics applications – exploring the desi...
Privacy-driven design of Learning Analytics applications – exploring the desi...Privacy-driven design of Learning Analytics applications – exploring the desi...
Privacy-driven design of Learning Analytics applications – exploring the desi...
 
Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014
Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014
Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014
 
Learning analytics the good the bad & the ugly
Learning analytics the good the bad & the uglyLearning analytics the good the bad & the ugly
Learning analytics the good the bad & the ugly
 
Presenting the LACE project at EDEN 14 Zagreb
Presenting the LACE project at EDEN 14 ZagrebPresenting the LACE project at EDEN 14 Zagreb
Presenting the LACE project at EDEN 14 Zagreb
 
L yuan alt c 3
L yuan alt c 3L yuan alt c 3
L yuan alt c 3
 
Learning Analytics for MOOCs: EMMA case
Learning Analytics for MOOCs: EMMA caseLearning Analytics for MOOCs: EMMA case
Learning Analytics for MOOCs: EMMA case
 
Scalable Learning Analytics and Interoperability – an assessment of potential...
Scalable Learning Analytics and Interoperability – an assessment of potential...Scalable Learning Analytics and Interoperability – an assessment of potential...
Scalable Learning Analytics and Interoperability – an assessment of potential...
 
Dr. Gábor Kismihók: Labour Market driven Learning Analytics
Dr. Gábor Kismihók: Labour Market driven Learning AnalyticsDr. Gábor Kismihók: Labour Market driven Learning Analytics
Dr. Gábor Kismihók: Labour Market driven Learning Analytics
 
Data-X-Sparse-v2
Data-X-Sparse-v2Data-X-Sparse-v2
Data-X-Sparse-v2
 
Data Science for Every Student at RPI
Data Science for Every Student at RPIData Science for Every Student at RPI
Data Science for Every Student at RPI
 
Data-X-v3.1
Data-X-v3.1Data-X-v3.1
Data-X-v3.1
 
Grand Challenges Learning Analytics
Grand Challenges Learning AnalyticsGrand Challenges Learning Analytics
Grand Challenges Learning Analytics
 
Smart Learning Environments - a framework for standardisation?
Smart Learning Environments - a framework for standardisation?Smart Learning Environments - a framework for standardisation?
Smart Learning Environments - a framework for standardisation?
 
Requirements for Learning Analytics
Requirements for Learning AnalyticsRequirements for Learning Analytics
Requirements for Learning Analytics
 
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...
 
AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...
AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...
AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...
 
Griffiths lace workshop-eden-2016
Griffiths lace workshop-eden-2016Griffiths lace workshop-eden-2016
Griffiths lace workshop-eden-2016
 
Big data in education
Big data in educationBig data in education
Big data in education
 

Plus de Tore Hoel

Læringsanalyse - hva er det?
Læringsanalyse - hva er det?Læringsanalyse - hva er det?
Læringsanalyse - hva er det?Tore Hoel
 
Learning analytics in a standardisation context
Learning analytics in a standardisation contextLearning analytics in a standardisation context
Learning analytics in a standardisation contextTore Hoel
 
Deling av data fra UH-bibliotek
Deling av data fra UH-bibliotekDeling av data fra UH-bibliotek
Deling av data fra UH-bibliotekTore Hoel
 
Data protection and privacy framework in the design of learning analytics sys...
Data protection and privacy framework in the design of learning analytics sys...Data protection and privacy framework in the design of learning analytics sys...
Data protection and privacy framework in the design of learning analytics sys...Tore Hoel
 
Standards for Smart Learning Environments
Standards for Smart Learning EnvironmentsStandards for Smart Learning Environments
Standards for Smart Learning EnvironmentsTore Hoel
 
Data Protection by Design and Default for Learning Analytics
Data Protection by Design and Default for Learning AnalyticsData Protection by Design and Default for Learning Analytics
Data Protection by Design and Default for Learning AnalyticsTore Hoel
 
Scaling up learning analytics solutions: Is privacy a show-stopper?
Scaling up learning analytics solutions:  Is privacy a show-stopper?Scaling up learning analytics solutions:  Is privacy a show-stopper?
Scaling up learning analytics solutions: Is privacy a show-stopper?Tore Hoel
 
Implications of the European Data Protection Regulations for Learning Analyti...
Implications of the European Data Protection Regulations for Learning Analyti...Implications of the European Data Protection Regulations for Learning Analyti...
Implications of the European Data Protection Regulations for Learning Analyti...Tore Hoel
 
Privacy and Data Protection - principles for design of a new part of an ISO s...
Privacy and Data Protection - principles for design of a new part of an ISO s...Privacy and Data Protection - principles for design of a new part of an ISO s...
Privacy and Data Protection - principles for design of a new part of an ISO s...Tore Hoel
 
Ethics & Privacy for Learning Analytics
Ethics & Privacy for Learning AnalyticsEthics & Privacy for Learning Analytics
Ethics & Privacy for Learning AnalyticsTore Hoel
 
Learning Analytics - Vision of the Future
Learning Analytics - Vision of the FutureLearning Analytics - Vision of the Future
Learning Analytics - Vision of the FutureTore Hoel
 
NordicOER wraps up 2 years of activiteis
NordicOER wraps up 2 years of activiteisNordicOER wraps up 2 years of activiteis
NordicOER wraps up 2 years of activiteisTore Hoel
 
Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015
Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015
Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015Tore Hoel
 
Data security issues, ethical issues and challenges to privacy in knowledge-i...
Data security issues, ethical issues and challenges to privacy in knowledge-i...Data security issues, ethical issues and challenges to privacy in knowledge-i...
Data security issues, ethical issues and challenges to privacy in knowledge-i...Tore Hoel
 
Introduction to Learning Analytics - Framework and Implementation Concerns
Introduction to Learning Analytics - Framework and Implementation ConcernsIntroduction to Learning Analytics - Framework and Implementation Concerns
Introduction to Learning Analytics - Framework and Implementation ConcernsTore Hoel
 
Learning Analytics – Ethical questions and dilemmas
Learning Analytics  – Ethical questions and dilemmasLearning Analytics  – Ethical questions and dilemmas
Learning Analytics – Ethical questions and dilemmasTore Hoel
 
Strategies for Dealing with Privacy in the context of Learning Analytics
Strategies for Dealing with Privacy in the context of Learning AnalyticsStrategies for Dealing with Privacy in the context of Learning Analytics
Strategies for Dealing with Privacy in the context of Learning AnalyticsTore Hoel
 
European Learning technology standardisation in crisis due to lack of openness
European Learning technology standardisation in crisis due to lack of opennessEuropean Learning technology standardisation in crisis due to lack of openness
European Learning technology standardisation in crisis due to lack of opennessTore Hoel
 
Åpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, Trondheim
Åpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, TrondheimÅpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, Trondheim
Åpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, TrondheimTore Hoel
 
Bruk av CC i høgre utdanning
Bruk av CC i høgre utdanningBruk av CC i høgre utdanning
Bruk av CC i høgre utdanningTore Hoel
 

Plus de Tore Hoel (20)

Læringsanalyse - hva er det?
Læringsanalyse - hva er det?Læringsanalyse - hva er det?
Læringsanalyse - hva er det?
 
Learning analytics in a standardisation context
Learning analytics in a standardisation contextLearning analytics in a standardisation context
Learning analytics in a standardisation context
 
Deling av data fra UH-bibliotek
Deling av data fra UH-bibliotekDeling av data fra UH-bibliotek
Deling av data fra UH-bibliotek
 
Data protection and privacy framework in the design of learning analytics sys...
Data protection and privacy framework in the design of learning analytics sys...Data protection and privacy framework in the design of learning analytics sys...
Data protection and privacy framework in the design of learning analytics sys...
 
Standards for Smart Learning Environments
Standards for Smart Learning EnvironmentsStandards for Smart Learning Environments
Standards for Smart Learning Environments
 
Data Protection by Design and Default for Learning Analytics
Data Protection by Design and Default for Learning AnalyticsData Protection by Design and Default for Learning Analytics
Data Protection by Design and Default for Learning Analytics
 
Scaling up learning analytics solutions: Is privacy a show-stopper?
Scaling up learning analytics solutions:  Is privacy a show-stopper?Scaling up learning analytics solutions:  Is privacy a show-stopper?
Scaling up learning analytics solutions: Is privacy a show-stopper?
 
Implications of the European Data Protection Regulations for Learning Analyti...
Implications of the European Data Protection Regulations for Learning Analyti...Implications of the European Data Protection Regulations for Learning Analyti...
Implications of the European Data Protection Regulations for Learning Analyti...
 
Privacy and Data Protection - principles for design of a new part of an ISO s...
Privacy and Data Protection - principles for design of a new part of an ISO s...Privacy and Data Protection - principles for design of a new part of an ISO s...
Privacy and Data Protection - principles for design of a new part of an ISO s...
 
Ethics & Privacy for Learning Analytics
Ethics & Privacy for Learning AnalyticsEthics & Privacy for Learning Analytics
Ethics & Privacy for Learning Analytics
 
Learning Analytics - Vision of the Future
Learning Analytics - Vision of the FutureLearning Analytics - Vision of the Future
Learning Analytics - Vision of the Future
 
NordicOER wraps up 2 years of activiteis
NordicOER wraps up 2 years of activiteisNordicOER wraps up 2 years of activiteis
NordicOER wraps up 2 years of activiteis
 
Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015
Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015
Workshop on Learning Analytics @ EDEN15 in Barcelona - June 2015
 
Data security issues, ethical issues and challenges to privacy in knowledge-i...
Data security issues, ethical issues and challenges to privacy in knowledge-i...Data security issues, ethical issues and challenges to privacy in knowledge-i...
Data security issues, ethical issues and challenges to privacy in knowledge-i...
 
Introduction to Learning Analytics - Framework and Implementation Concerns
Introduction to Learning Analytics - Framework and Implementation ConcernsIntroduction to Learning Analytics - Framework and Implementation Concerns
Introduction to Learning Analytics - Framework and Implementation Concerns
 
Learning Analytics – Ethical questions and dilemmas
Learning Analytics  – Ethical questions and dilemmasLearning Analytics  – Ethical questions and dilemmas
Learning Analytics – Ethical questions and dilemmas
 
Strategies for Dealing with Privacy in the context of Learning Analytics
Strategies for Dealing with Privacy in the context of Learning AnalyticsStrategies for Dealing with Privacy in the context of Learning Analytics
Strategies for Dealing with Privacy in the context of Learning Analytics
 
European Learning technology standardisation in crisis due to lack of openness
European Learning technology standardisation in crisis due to lack of opennessEuropean Learning technology standardisation in crisis due to lack of openness
European Learning technology standardisation in crisis due to lack of openness
 
Åpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, Trondheim
Åpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, TrondheimÅpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, Trondheim
Åpne læringsressurser - presentasjon Bibsys-konferansen 12. mars 2014, Trondheim
 
Bruk av CC i høgre utdanning
Bruk av CC i høgre utdanningBruk av CC i høgre utdanning
Bruk av CC i høgre utdanning
 

Dernier

Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Disha Kariya
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 

Dernier (20)

Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 

Towards Open Architectures and Interoperability for Learning Analytics

  • 1. Towards Open Architectures and Interoperability for Learning Analytics Tore Hoel Oslo and Akershus University College of Applied Sciences Norway Institutional Readiness Day, Amsterdam - 2015-12-10
  • 2. LACE Reports on Interoperability and Data Sharing Quick Guides to who is doing standards and what standards should be considered New Report on Interoperability and Data Sharing: Requirements, Specification, Adoption and Practice
  • 3. 3
  • 4. What are the keys to make LA work? • Access to data • Institutional strategies • Good predictive models • Engagement and trust among students and faculty • Interoperability standards • Well designed tools 4 What is the stumbling block? Lack of trust
  • 6. 6 An architecture for learning analytics Which pedagogical scenarios are we able to accommodate in an Open LA Architecture?
  • 7. Characteristics of Educational Big Data • Grain size of recordable and analysable data has become smaller – every pen stroke, every keystroke is recorded • Sources of evidence are (more) varied – tests, essay scoring, learning games, social interactions, affects, body sensors, intelligent tutors, simulations, semantic mapping, LMS data… – Unstructured (e.g., . log files, clicks, timestamps) – When structured different schemas are used • How do we bring these data together to form a overall view of an individual learner or a cohort of learners? 7 (Cope, B., & Kalantzis, M., 2015)
  • 8. What data practices are emerging? • Multi-scalar Data Collection – Embedded, simultaneous collection of data that can be used for different purposes at different scales – Semantically legible datapoint (learner-actionable feedback): «teachable moment» • Self-describing, structured data ➔ meanings immediately evident to learners, teachers, others • Sample size n= all • Data and interventions are not separate: Recursive micro intervention ➔ result➔ redesign cycles • More widely distributed data collection roles 8 (Cope, B., & Kalantzis, M., 2015)
  • 9. Need for new Education Data Standards supporting Learning Analytics • Harmonization of Activity Stream Specifications (ADL xAPI, IMS Caliper, W3C Activity Streams) • Building Vocabularies – Profiles – Recipes – Communities of Practice • Storage designs – centralised data warehouses or distributed Learning Record/Event Stores • Extract, Transform and Load (ETL) tools for data storage • Privacy and Data Protection – how to do Privacy-by-design in this field? • Sharing of Algorithms and Predictive Models 9
  • 10. Challenges for standardisation • Privacy and Data Ownership issues – how to turn these «soft» requirements into «hard» ones? • The role of Personal Data Stores in Learning Analytics • Harmonization of data schemes prior to analysis • Import / export facilities with ontology building (and automatic reasoning technologies) as part of the storage solutions • Publishing and Sharing of data for research and comparison and testing of predictive models, student models, etc. 10
  • 11. Challenges of design of new interoperable solutions • Understanding the processes • Understanding where the data come from • Piloting new solutions • Working with standards organisations to ensure interoperability • Industry consortia • Advanced Distributed Learning (ADL) • IMS Global Learning • Apereo • Formal standardisation • ISO/IEC JTC 1/SC36 Working Group 8 on Learning Analytics • CEN? 11
  • 12. Initial understanding of LA process ( ISO/IEC JTC 1/SC36/WG8) 12Draft figure from new LA Framework model
  • 13. Updated understanding of LA process (SC36/WG8) 13Draft figure from new LA Framework model
  • 14. A European Agenda for LA Interoperability? • European requirements? • xAPI and IEEE – the European stumbling block • IMS Caliper – US vendor centric development • Who will provide leadership in standardisation in Europe? • CEN instruments are put on hold • No pan-European instruments for harmonisation in LA • JISC OLAA is a trail blazer for exploring this field and provide leadership for Higher Ed in a particular country • SOLAR and Apereo Foundation offer opportunities for collaboration between research community and standards experts
  • 15. Hoel, T. (2015). Towards Open Architectures and Interoperability for Learning Analytics. Presentation at Institutional Readiness Days, Amsterdam, the Netherlands, 2015-12-10 The European LACE project builds a Community of Interest on Learning Analytics – check out laceproject.eu tore.hoel@hioa.no @tore This work was undertaken as part of the LACE Project, 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 16