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In today’s complex world, post-secondary institutions are under competitive, customer, and regulatory pressures to account for our business performance, our contribution to the societies we serve, our research productivity, and most important, our students’ success. Learning Analytics is seen as a key tool to enable us to do so. 
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Higher education IT data needs to go beyond descriptive analysis to new ways of using data and research to align IT strategy with institutional strategy, plan new services and initiatives, manage existing services, and operate the IT organization on a daily basis.
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"A number of experiments are using new kinds of data – such as how many times a student has clicked on an e-textbook or logged in to a class Web page – to measure and guide learning in new ways. That could improve the student experience, but it could also end up dumbing down college, argues Gardner Campbell, director of professional development and innovative initiatives at Virginia Tech."
I suppose it begs the question - what are effective ways of utilising the availability of these new data? - my first thought is that they may assist in identifying students who are finding difficulty.
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Many of the sessions are to be live streamed and there will be an active Twitter stream using #lak12
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The diverse team of eLearning advisors provide elearning workshops, send out periodic newsletter, provide customised consultation, support the eScholar program and more.
Use the 'Filter' pull-down menu above to search for topics by keywords. Via Kim Flintoff
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It was a great privilege and a lot of fun to do two talks at the ITK 2012 conference at Hämeenlinna, Finland, 19 April 2012. After my keynote this morning, we had a nice discussion session –...
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Learning Analytics in a Teachers' Social Network - The Quest for Social Capital. The Tellnet project participated in the Networked Learning Conference in Maastricht on April 3, 2012 and presented its current work in a sumposium called ...
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"Learning analytics ...will drive increasingly the dependency of administrations on LMSs" http://t.co/dwHRVj1a...
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The difference between learning analytics and other pedagogical theories in that it focuses on understanding how learners react to different educational contexts – and it accomplishes this by studying large amounts of data about learners and their... Via Grant Montgomery
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From
arxiv
In growing numbers, scholars are integrating social media tools like blogs, Twitter, and Mendeley into their professional communications. The online, public nature of these tools exposes and reifies scholarly processes once hidden and ephemeral. Metrics based on this activities could inform broader, faster measures of impact, complementing traditional citation metrics. This study explores the properties of these social media-based metrics or "altmetrics," sampling 24,331 articles published by the Public Library of Science. We find that that different indicators vary greatly in activity. Around 5% of sampled articles are cited in Wikipedia, while close to 80% have been included in at least one Mendeley library. There is, however, an encouraging diversity; a quarter of articles have nonzero data from five or more different sources. Correlation and factor analysis suggest citation and altmetrics indicators track related but distinct impacts, with neither able to describe the complete picture of scholarly use alone. There are moderate correlations between Mendeley and Web of Science citation, but many altmetric indicators seem to measure impact mostly orthogonal to citation. Articles cluster in ways that suggest five different impact “flavors,” capturing impacts of different types on different audiences; for instance, some articles may be heavily read and saved by scholars but seldom cited. Together, these findings encourage more research into altmetrics as complements to traditional citation measures.
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GUEST COLUMN | By Deb Everhart Everyone is talking about analytics applied to education and how “big data” can (will?) transform many aspects of our educational institutions. And for those of u...
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The Formation of a New Discipline It was a sentiment repeated several times throughout the Learning Analytics and Knowledge 2012 conference: this could the beginning of a new discipline. It’s something I’ve heard at recent big data events too (namely at O’Reilly Media’s Strata conferences): we are forming a new field, one with new tools and new practices and new objects of inquiry.
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A key next step in this research programme is to harvest and analyse data from the traces that learners leave as they engage in social digital spaces, and to explore its relationship to other data sets and data streams. This PhD will therefore fund a technically strong candidate to design, implement and evaluate “Learning Analytics for Learning Power”. The project will deploy iterative prototypes in authentic use contexts, considering OU platforms as a starting point (e.g. SocialLearn [9]; Cohere [10]; EnquiryBlogger [11]), but open to data streams from new kinds of digitally instrumented interactions (e.g. from Pervasive Computing; Augmented Reality; Quantified Self). A possible outcome is an analytics architecture open to diverse forms of input, grounded in a theoretically robust framework, generating visual analytics with transformative power for reflective learners.
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This announcement caught my eye, as it suggests a move to link big data and big data analysis directly into online learning. It is just an announcement at this stage of an agreement to work together on developing predictive analytics for online learning. This seems to be a move beyond just trawling through the student information system and LMS to building predictive models of online behaviour.
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(George Siemens: Learning Analytics Resources | Open Educational Resources (OER) http://t.co/SLVbY9g3...)...
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The company admittedly takes inspiration from Facebook and is trying to get companies to adopt a model they call ‘the Social Enterprise’ where decision support tools have a social aspect to it enabled by Chatter.
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Learning Analytics: Guidelines for ethical use http://t.co/2LQZ3g21 #learninganalytics...
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Among the latest domains to see this trend: “learning analytics” in higher education. The basic idea is to use institutional data to help students successfully navigate towards their college degrees. Doesn't sound controversial ...
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iBook, iAuthors and the iTunesU from Apple, a great step towards changing the education system. For those who underestimated the announcement, this was a huge wake up call! Apple have been busy doing what they do best and that is innovating!
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Learning analytics is becoming one of the hottest topics in higher education, mostly in theoretical/research contexts but increasingly in real-world applications. ... Via Grant Montgomery
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