overview of the laep learning analytics project

LAEP: implications and opportunities of learning analytics for European educational policyRebecca Ferguson, Andrew BrasherGarron Hillaire and Jenna Mittelmeier

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https://laepanalytics.wordpress.com/

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“Erik was an incredible person: kind, intelligent, and generous in helping others. He was active on the keynote circuit and focused on developing his students […] Erik was critically active in developing SoLAR, serving on the inaugural board of directors. It is a sad time for our community.”

George Siemens

Remembering Erik Duval

Picture from www.surfspace.nl

State of the art in learning analytics

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https://laepanalytics.wordpress.com/

Exploring the implications and opportunities of learning analytics for European educational policy

work in progress…

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Research questions

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What is the current state of the art?What are the prospects for the implementation of learning analytics?

What is the potential for European policy to be used to guide and support the take-up and adaptation of learning analytics to enhance education in Europe?

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Carrying out the study

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Literature reviewGlossaryInventoryCase studiesExpert workshopFinal report

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LAEP Glossary

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Developed using frequently used keywords from the LAK Dataset

You are welcome to suggest other key terms or to suggest revised definitions

cloudworks.ac.uk/cloud/view/9781

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Literature review on implementation

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Underpinning technologyPolicy, codes of practice and governanceSkills and data literaciesCulture, values and professional practiceLeadership, change management and sustainability

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Underpinning technology

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Systems need to be technically and semantically interoperable

Work required on data quality, ownership, access and standardisation

Need to investigate the possibilities and limitations of data warehouses

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Policy, codes of practice and governance

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A lot of data have been gathered and used without the knowledge of the learners who generated them

Need for effective data governance proceduresDiscussions required at all levels about privacy and ethics

Privacy-preserving practices are important

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Skills and data literacies

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Current capability to develop and deploy analytics is low

Need for an open and shared analytics curriculum covering technology and pedagogy

Research is required on the use of visualisation

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Culture, values and professional practice

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Work required at local, regional and national levels – how can analytics be related to the purposes of education?

Embed data skills and literacies within professional training

Ensure educators can use the tools available and that they can make informed decisions

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LAEP Inventory

Show the state-of-the-art of the practical adoption of learning analyticsA broad-but-shallow collection of informative examples across the three categories:

• Policy documents (14)• Practices (13)• Tools (19)

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ContentsPolicies

Analytical Review (UK Government Department for Education)Capacity enablers and barriers for learning analyticsCode of practice for learning analyticsEducation governance: the role of data – Organisation for Economic Co-operation and DevelopmentEducause – Understanding and managing the risks of analytics in higher education: a guideEnhancing teaching and learning through learning analytics and educational data mining (US Department of Education)Ethical use of student data policy – The Open UniversityEvaluation of policy frameworks for addressing ethical considerations in learning analyticsImproving the quality and productivity of the higher education sector

PracticesArizona State UniversityCeibalCourse Signals: Purdue UniversityDunchurch Infant SchoolEffective learning analytics pilots –JiscFurther education learning technology action group: FELTAGGeorgia State UniversityNottingham Trent University Student DashboardPAR FrameworkPredictED– Dublin City UniversityProgress and Course Engagement (RioPACE) – Rio Salado CollegeStudent retention and learning analytics: A snapshot of Australian practices and a framework for advancement

ToolsASSISTmentsBettermarksCivitas LearningCognitive Tutor softwareConexus VokalDegree Compass (Desire2Learn)Digital Assess – adaptive comparative judgementFFT AspireitslearningKhan Academy analyticsLearning Analytics ProcessorMetacogOpen EssayistOU AnalyseSchoolzillaSkillawareSNAPP

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Structure

1 page per entry

Policy documents

• Synopsis, classification, context, maturity and evidence of utility, further information

Practices

• Synopsis, classification, context, practical matters, further information

Tools• Synopsis, classification, context, maturity and

evidence of utility, further information

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Open for Viewing and Additions

http://cloudworks.ac.uk/cloudscape/view/2959

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Development and Status

• Created by a combination of desk research and open information gathering.

• Channels used to solicit and gather information include:

• 2015 SoLAR Flare event at The Open University, UK.

• Learning Analytics Community Exchange (LACE) project communication and discussion channels:

Network of associated partners;

LinkedIn discussion group;

@laceproject Twitter account.

• Structured interviews with significant international figures and major learning analytics projects.

• LAEP Project blog] http://bit.ly/LAEPAnalytics

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http://bit.ly/LAEPAnalytics


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Today’s workshophttp://cloudworks.ac.uk/cloudscape/view/2965

LAEP Glossaryhttp://cloudworks.ac.uk/cloud/view/9781

LAEP Inventoryhttp://cloudworks.ac.uk/cloud/view/9621

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