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In my role as the library dean I have already been engaged with data-driven student success initiatives. We are still working to implement use of EAB on our campus. The company offers a set of tools that can track grades and registration (OK – we already do that). It also provides functionality that tracks visits to the tutoring center, the health and counseling centers, and can analyze how successful students are when they take specific classes and specific times. If you guessed that faculty are very wary of that last bit of analysis you’d be correct.
The concept of “big data” has been the subject of considerable hype and speculation in recent years. So much so that the dominant technologies and technical practices that generate big data — data analytics, algorithms and machine learning — are now commonly described as “artificial intelligence” instead. As a result, Ian Bogost argues, there has been “an explosion of supposed-AI in media, industry and technology.”
The Internet of Things and big data technologies have progressed enormously in 2016 – and 2017 is set to be a year when more enterprise use case
Literature Review: Transforming Big Data into Quantitative Insights Chapter One provides an overall overview of the research stud
A group of higher ed professors, educational technical vendors and consultants has released findings on how to more carefully manage and utilize data mined by common systems and predictive analytics.
Regardless of how much data your company has -- and how much your business leaders are asking for -- you're likely missing some hidden gems. Here are 12 examples of what you might be overlooking, and why it matters to IT professionals, and to your business at large.
"Increasingly, colleges and universities are using predictive analytics to determine future outcomes for students in academic performance and engagement. But some wonder if the practice violates student privacy."
Via EDTECH@UTRGV
Stephen J. Dubner, Freakonomics co-author, explains why using data to predict future trends is trickier than you may think.
Via EDTECH@UTRGV
Do you really need to go back to school and get another degree in order to establish yourself in a career as a data scientist? Maybe not. These nine free online courses can help you explore a range of topics, including Python, R, AI, machine learning, and Hadoop, before you commit to more advanced learning.
There are some things that are so big that they have implications for everyone, whether we want them to or not. Big Data is one of those concepts, and is compl…
Big Data is described as the huge sets of electronic data that is available for analysing, whereas Analytics, according to Wikipedia, is "the discovery and communication of meaningful patterns…
To save America's sharp rise in college dropout, administrators are turning to Big Data to automatically enroll students in universities where they will succeed
Data is everywhere, created and used by just about anyone. The days when companies or individuals had to pay significant sums of money to access useful and int…
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What is datafication? And how does it affect education? These questions were put to me ahead of conference discussion panel recently. While writing a few notes, it quickly became apparent I needed some categories to sort out my thinking. In simple terms, datafication can be said to refer to ways of seeing, understanding and engaging with the world through digital data. This definition draws attention to how data makes things visible, knowable, and explainable, and thus amenable to some form of action or intervention. However, to be a bit more specific, there are at least ten ways of defining datafication.
The ubiquity of big data is such that Gartner dropped it from their Hype Cycle of Emergent Technologies back in 2015. Across sectors, businesses are scrambling to make every function “data driven,” and there’s no shortage of firms lining up to help them. The big data analytics industry, dedicated to helping big businesses leverage the petabytes of information they now generate and store, is worth $122 billion — and growing.
Big Data, with its vast data volumes, is largely useless without the data analytic and presentation functionality found in visual analytic tools. Think about how difficult it is to spot anomalies or trends in endless rows and columns of spreadsheet data. Visual analytic tools solve that data overload problem.
It seems everyone is interested in big data these days. From social scientists to advertisers, professionals from all walks of life are singing the praises of 21st-century data science.
Last week I spoke on a panel at the MITX eCommerce Summit entitled “Turning Mountains of Data into Streams of Revenue.” Along with other experts in the e-commerce space, I addressed the big data…
Whether you’re writing a blog post, putting together a presentation, or working on a full-length report, using data in your content marketing strategy is a must. Using data helps enhance your arguments by make your writing more compelling. It gives your readers context. And it helps provide support for your claims.
Wondering how to analyze Big Data In eLearning? Read this article to discover 7 Tips To Effectively Manage And Analyze Big Data In eLearning!
Bigger, faster, and cloudier – that’s where big data is heading in 2016
How do we move to a data-led culture in UK research and education? The second in a series of reports to emerge from our horizon scanning project.
In 2001, the analyst firm MetaGroup (now Gartner) introduced us to the 3Vs of 3D Data: Volume, Velocity and Variety. Fifteen years on, Big Data is now on everyone's priority list. It continues to be an area of very active research and development across every portion of the telecom ecosystem.
"While many colleges are beginning to use data to inform student success initiatives and operational decision-making, almost a quarter say they have the data but still don’t use it."
Via EDTECH@UTRGV, elearning at eCampus ULg
9 disruptive technologies [Intelligenthq ]
Change is pretty much a constant state of affairs in the 21st century, and in no area is this truer than that of technological development. Technology has swept aside vast, powerful established industries, transforming them fundamentally in just a few years.
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