Planning to take part in Bett this year?

then join us for LACE Learn Live events taking place on 23 January

LACE partners are organising a high profile meeting in London during the annual BETT show centred on two seminars taking place as part of the Learn Live Seminar Series.

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Measuring and Understanding Learner Emotions: Evidence and Prospects

Learning Analytics Review paper

This is the first paper in the Learning Analytics Review series of reports and papers that the LACE project will publish over the next 18 months for the learning analytics community. While this review focuses on higher education, other papers will reflect other LACE communities in schools and the workplace.

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Framework of Quality Indicators

by Maren Scheffel and Hendrik Drachsler

The results of the group concept mapping study that was conducted with learning analytics experts by the LACE team to construct a framework of quality indicators for learning analytics is available to download.

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Advancing STEM, Advancing Europe

by Fabrizio Cardinali

Understanding the relevance of STEM-specific (Science, Technology, Engineering and Mathematics) learning innovation & analytics for re-establishing Europe’s industrial leadership by H2020 (before it’s too late)

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On the Question of Validity in Learning Analytics

by Adam Cooper

“[...] learning analytics undertaken without validity being accounted for would be ethically questionable, and I think we are not yet where we need to get to…”

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Ethics and Privacy in Learning Analytics - workshop @LAK15

by David Sherlock

The failure of the $100 million InBloom student data project in the US showed that privacy issues can be a showstopper for the application of learning analytics technologies. In order to make issues related to privacy more central to learning analytics application design, there is a need to unpack this concept in terms of its sociocultural context.

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Invitation: Drafts for Public Comment in Learning Analytics Interoperability and Data Sharing

by Adam Cooper

The LACE team is creating a number of studies and releasing them as early-stage public drafts for comment. At this stage you are invited to collaborate on two active drafts: Audio and Video Playback; and Standards and Specifications Quick Reference Guide. Each draft has its own information page, indicating status and links to: an online-commentable version, a downloadable pdf, and a discussion thread on our Open Forum for Learning Analytics Interoperability Google Group.

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Examining Open Learning Analytics

by Niall Sclater

Probably the most obvious aspect of open in the context of learning analytics is the reuse of code (and documentation) that others have created. Predictive models can also of course be opened up to others. Having open APIs in learning analytics products is important too – as is interoperability of the different systems. And a vibrant community of people and institutions who wish to share and enhance all these things is essential.

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FAQ 1: What Are Learning Analytics?

This set of frequently asked questions is the first in a series of FAQs that are being published by the LACE project team. Additional FAQs will be available shortly which will address questions including "What benefits can learning analytics provide?" and "What challenges will organisations face in making use of learning analytics?"

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Meet our Associate Partners

LACE Associate Partners work with us in various ways, ranging from joining the discussion and writing blog posts to contributing evidence about learning analytics or collaborating on a White Paper. We are encouraging individuals and organisations to join us.

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On behalf of all of us in the LACE project,

best wishes for a peaceful holiday season and

a joyous new year!