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This is the last post in a series of post about my experience at SXSW. 
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Scoop.it!
Analytics provide perspective about employee development and corporate performance, along with how your organization’s learning programs stack up in the industry.
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Invited talk at SURF seminar on Learning Analytics http://www.surf-academy.nl/programma/event/?id=395
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Getty Looking ahead at some of the education technology trends we'll likely see in 2012, many are already underway. But here are 12 areas where we bel
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![Learning Analytics: Leveraging Education Data [Infographic] | Analytics and data - trying to understand the conversation | Scoop.it](https://img.scoop.it/_sAkoXAY4FcI8o2nih1d2zl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
RT @edc_blog: Learning Analytics: Leveraging Education Data [Infographic] http://t.co/I9Uq2dsDDh #edtech #edchat #highered
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If you are instead trying to educate a broader spectrum of the population, including elite students, and you aren't using analytics, you won't know what's going on. Via Kim Flintoff
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Right now, what we’re trying to do is a little like trying to conduct physics research before somebody has invented calculus. You can do some things around the edges, but you can’t describe the really important hypotheses about causes and effects in learning situations with any precision. And if you can’t describe them with precision, then you can’t test them, and you certainly can’t get a machine to understand them. Via Kim Flintoff
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TED Talks Daphne Koller is enticing top universities to put their most intriguing courses online for free -- not just as a service, but as a way to research how people learn.
Each keystroke, comprehension quiz, peer-to-peer forum discussion and self-graded assignment builds an unprecedented pool of data on how knowledge is processed and, most importantly, absorbed. Via Kim Flintoff
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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... Via Kim Flintoff
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Purdue University's Course Signals application detects early warning signs and provides intervention to students who may not be performing to the best of their abilities before they reach a critical point. Via Learning Futures
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An animated presentation about concept mapping. Focuses on how groups can employ the technique as a tool for collaborative planning and problem solving. he presentation was first given at Swarthmore College's Staff Development Week on January 11, 2011. Via Gust MEES, Jenny Pesina, R Kay Richardson
's comment February 26, 2013 5:25 PM
PBL is a tremendously powerful strategy- but it is misunderstood and misused way too often! These articles should help clarify the concepts!
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And social technology can help them once they're enrolled.
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Learning analytics to inform learning design.
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Visual Analytics to Support E-learning | InTechOpen, Published on: 2010-01-01. Authors: Diego Alonso Gomez Aguilar, Cristobal Suarez Guerrero, Roberto Theron Sanchez, et Via juandoming
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Oh on-line learning, where will you lead us? Where do you see online education in 20 years? http://t.co/XSmqWh28UN via @socializeWP
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How can Learning Analytics be used to bring about the true revolution traditionally assumed for MOOCs? With audiences in the thousands of users, the key is mass Via Peter Mellow
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The Horizon Report showcases a number of different examples of institutions that are using learning analytics in different ways. Via LGA, Peter Mellow
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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. Via Peter Mellow
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n/a (RT @mattrea: More on the Pearson / Knewton adaptive learning deal: http://t.co/vudTrqKd #edtech...)...
Via Grant Montgomery, Learning Futures
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Do you know what happens in one minute on the Internet? In just one minute, more than 204 million emails are sent. Amazon rings... Via Martyn Cooper
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To say that “Big Data” is a hot topic is an understatement. A simple Google search reveals the term gathers more interest than “Cloud Data”, supposedly one of the hottest topics of our era. Yet, many are still asking: “What is Big Data?” or “is Big Data another marketing buzzword?” We’ve known for years that Data is the ‘oil of the tech economy’ (see here my interview of Tim O’Reilly). What’s different now? And, how do you cut through vendors’ overzealous marketing or the panic created by the press? The mythical “Data Scientist” 1) The industry doesn’t have a clear definition for what a “Data Scientist” is. (Best resources include EMC’s whitepaper here and InformationWeek’s Doug Henschen’s report here). Short of going around the company & re-titling your “Database Administrators” & “Business Analysts” to “Data Scientists”, what should you do with this information? Here are two suggested steps: Big Data isn’t just about the Data Scientist With “Big Data”, we now have the opportunity to approach this field in a new way. We should think about “Big Data” as the chance to make better decision making available and affordable to all. Big Data isn’t about large companies The majority of organizations are unable to produce a basic, real-time picture of their business in a format that’s usable by most employees. Focus on the most necessary and broad base needs before you orchestrate for the most complex and specialized scenarios.
By Bruno Aziza - http://bit.ly/MCaZoK Source: http://onforb.es/LF5832 Via maxOz, R Kay Richardson
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by AUDREY WATTERS on 15 AUG, 2012
Cross-posted on Inside Higher Ed
"Academia.edu, a social network for scholars, is unveiling a new feature today that its founder Richard Price hopes will help address part of the “credit gap” for research. Academia.edu allows users to upload and share their research papers, and the site is launching its Analytics Dashboard for Scientists today that Price says will let scholars see the “real-time impact” of their work.
Academic publishing has long been a black-box in terms of both who’s reading and who’s citing. Publishing in journals may be expected (required, even), but the delays in the publishing process can make it challenging to ascertain how much influence work has. “It typically takes about 3 to 5 years for citations to actually appear back in the process,” argues Price, pointing to the lengthy time between researching, writing, peer-reviewing, and publishing.
That’s part of the problem with services like Google Scholar that do offer citation counts, Price contends. And certainly the new feature available on Academia.edu today is more akin to Google Analytics than Google Scholar. You can see the pageviews on your papers; you can see the keywords that led people to them; you can see where those viewers come from.
The latter only gives details about the country of origin – enough for scholars to be able to tout the global reach of their work. It would be interesting to see more granular information – which city, which university even – but Price says there are certain privacy concerns before offering those sorts of details..." Via Jenny Pesina, R Kay Richardson
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![Learning Analytics [Infographic] ~ Educational Technology and Mobile Learning | Analytics and data - trying to understand the conversation | Scoop.it](https://img.scoop.it/d-bcapJMouRJtttTL2Z35jl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
