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31 mai 2016

Big data can help determine university funding

By Yegor Stadny. The Ukrainian economy and the country’s education policy-makers will dictate how many state-funded places there will be for each of the 130 fields of higher education this year. This means that the government will assume that, for instance, 452 biotechnology or 2,330 management graduates will be needed in four to six years’ time to boost the Ukrainian economy. Read more...

31 mai 2016

Building a student-level data system

University Business LogoSubmitted by Stefanie Botelho. In September 2015, the Obama administration released a massive amount of federal higher education data through a revised College Scorecard. Comprising more than 1,700 indicators for approximately 7,000 colleges, the College Scorecard showed the power of unlocking federal administrative data. More...

31 mai 2016

Employee sues university after data leak

University Business LogoBy Stefanie Botelho. A Rockhurst University employee is suing the school after private information belonging to herself and another 1,200 of the school's employees was provided to criminals by one of her colleagues who fell prey to CEO fraud-type spear phishing last month. More...

31 mai 2016

Data analytics rising in higher education

University Business LogoBy Sandra Beckwith. The momentum building behind higher ed analytics is hardly surprising, considering the explosion of tech tools available to make sense of institutional data. More...

26 mai 2016

Big data : l’enjeu majeur de l’enseignement au XXIᵉ siècle

The ConversationPar . Miser sur les mathématiques et la physique : c’est la recommandation de trois grands experts pour prendre le train en marche du big data. Une formation d’autant plus essentielle que les profils nécessaires en la matière continuent de faire cruellement défaut en France. Voir l'article...

25 mai 2016

Shut Down the Parent Portals: The Dangers of Real-Time Data

http://www.insidehighered.com/sites/default/server_files/styles/blog_landing/public/JustVisitingLogo_white.jpg?itok=K5uvzo_-By John Warner. How many of you have seen a child biff pretty hard when the child thinks no one is looking? I’m not talking an oopsie, but an actual knee-scraper, a legit owie. Read more...

23 mai 2016

Toward Better National Data on Postsecondary Education

HomeThe Institute for Higher Education Policy is today releasing a series of papers that, taken together, are designed to point the way toward a more vibrant set of national data on student outcomes. Read more...

23 mai 2016

Tablet Market Slides Worldwide, Though Detachables See Continued Growth

http://people.uis.edu/rschr1/wp-content/themes/default/images/kubrickheader.jpgHigher Ed Tech News and Research ~ Ray Schroeder, editor. Worldwide tablet shipments slumped 14.7 percent during the first quarter of 2016, according to preliminary data released today by the International Data Corp. More...

21 mai 2016

There’s an algorithm for that. Or there soon will be

By Marina Bradbury. Would you like a machine to decide on your medical treatment, whether you could insure your house, if you should be hired, or what news stories you read? It may be happening to you already. Every time you go online to make a purchase, search for a restaurant, access your bank account or simply interact with your mobile device, you are creating a digital trail of data that is being tracked and stored. This “big data” is fodder for machine learning algorithms that will for example suggest what to buy. More...

20 mai 2016

Après le Big data, le fast Data

Logo AmueLe Fast Data peut se traduire par la nécessité de disposer de la bonne information et de son analyse en temps réel. Ou de la capacité d’acquérir la connaissance à partir des données à l’instant où elles sont créées. Appliquée au Big Data, elle permet d’obtenir des résultats mis à jour à chaque interrogation. L’analyse des flux permet également des mises à jour automatiques des résultats, qui intègrent le flux des données, et ne cessent de les enrichir. Retours en détails sur ce concept.
En savoir + :: Comprendre : Fast Data, l’étape supérieure du Big Data temps réel

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