Analytics and data - trying to understand the conversation

Dr. George Siemens, Executive Director of the LINK Research Lab at the University of Texas at Arlington discusses the limits of artificial intelligence (AI

The start-up has undertaken an extraordinary experiment in behavioral science to subtly entice an independent work force to maximize company revenue.

Big Data management is the systematic organization, administration as well as governance of massive amounts of data. The process includes management of both unstructured and structured data. The primary objective is to ensure the data is of high quality and accessible for business intelligence along with big data analytics applications. To contend with the rapidly growing data … Continue reading What is the effective way to handle Big Data?

What approaches does Coca-Cola use for their social media analytics? Wes Finley, former Global Digital Marketing Lead at Coca-Cola shares some methods

Universities have seized on big data to count every click their students make in learning management systems, but the focus needs to be on improving learning.

"If you think data—in education, or any field—is cut and dry, think again. Working with data in the classroom, especially, can be either exhausting or exhilarating—depending on your fitness level. Data can be big, but also quite small. It’s often quantitative, but is increasingly qualitative."

If you’re an educator, chances are you’ve heard the phrase “data-driven instruction,” where you’re asked to constantly assess, analyze, and adjust how you teach students.But one word in that phrase often raises a host of questions: What counts as “data”? How do you collect it? And what types of data

Open-access Strayer University is using student-engagement metrics to identify at-risk students—and to improve the quality of its courses and teaching overall.

Next time users search for a college or university in Google, they’ll get more than a map and logo for the institution in the right-hand side of their browser. Alongside the address and brief Wikipedia synopsis they’ll find information related to student outcomes, such as the graduation rate and the

There’s an old joke that the original form of distance education is sitting in the back of a large lecture course. Education technology researcher George Siemens and a colleague hope that personalized learning approaches can help better connect professors and students in large classes.In a new partn

Big Data Analytics is a type of analytics executed upon Big Data.descriptive statistics, Statistical modeling, can all be considered as Big Data Analytics.

Therefore, with this we are training in the effective practices of expert learners in relation to Web 2.0 tools and environments. On the basis of a qualitative study, our aim will always be directed at demarcating a 2.0 lifelong student skills profile with a view to identifying a planning tools support – quality training that we will conduct developing PKM skills – in non-experts. This PKM model is focused on basic competencies and skills of a higher order (meta-skills) and identifies the conditions that allow this and the competencies that foster effective PKM management so that knowledge and learning can always be connected in a network.

However, in social learning we constantly find a duality: knowledge has to compete with a sea of data that must be analysed to be subsequently made known as open and implemented in learning and work. Due to all this, the learning process is like a journey that takes us from the neuronal synapse, which helps us manage information and acquire knowledge, to the purging of this knowledge in our social relationships and its subsequent use in data analysis, which we can now do with greater productivity and quality through big data.

Students who are at risk academically could benefit from access to student-centered educational dashboards with performance data.

The new formula for making a difference is Cause + Code. Here are examples of organizations already making a difference with data.

If you think data—in education, or any field—is cut and dry, think again. Working with data in the classroom, especially, can be either exhausting or exhilarating—depending on your fitness level. Data can be big, but also quite small. It’s often quantitative, but is increasingly qualitative. It’s pr

With access to predictive analytics and more data than ever before, how can universities avoid invading students’ privacy while promoting academic success?

Want to know about analytics for the classroom teacher? Check the 4th article of this series and learn about Teaching And Learning Analytics.