Educational Technology News

With just over a week left on the 2019 calendar, it’s now time for predictions. We’ll run several stories featuring the 2020 predictions of industry

"The world is drowning in data. We are creating 2.5 quintillion bytes of data every day. That is 2.5 followed by 18 zeros! But that figure is a moving target. Thanks to the growth of the Internet of Things (IoT) the data we’re creating is expanding by the second. The thing is, if you can’t make sense of the vast amount of data your organization is creating, you are sitting with a worthless creation."

"It's often said that we are in the age of information, but we often fail to appreciate just how the concept of the information age is changing over time"

"From Formula 1 to Yelp, industries across the board are seeking ways to apply machine learning to their work. Even academics and Goldman Sachs analysts tried using it to predict World Cup winners. (Those predictions proved very, very wrong.)

But how is machine learning playing out in education—and how does it impact not just students, educators and parents, but also the businesses building technology tools to support teaching and learning?"

"Poor data quality is enemy number one to the widespread, profitable use of machine learning. While the caustic observation, “garbage-in, garbage-out” has plagued analytics and decision-making for generations, it carries a special warning for machine learning. The quality demands of machine learning are steep, and bad data can rear its ugly head twice — first in the historical data used to train the predictive model and second in the new data used by that model to make future decisions.quality data."

Learn about research that says big data adoption increases quickly and big data adoption rates vary greatly by industry.

"The way that students learn and teachers teach will be revolutionized when big data is deployed massively in the educational space. To catalyze this trend, the US Department of Education (DOE), along with other organizations, has put up $200 million in fostering the use of big data analytics in education. Let's take a look at various aspects of education that big data is poised to improve."

A third of U.S. colleges are using predictive analytics to boost graduation rates. Critics fear the algorithms may invade privacy and reinforce inequities. 

"Sales and Marketing, Research & Development (R&D), Supply Chain Management (SCM) including distribution, Workplace Management and Operations are where advanced analytics including Big Data are making the greatest contributions to revenue growth today."

Leveraging big data with connected content is the best way to get stronger academic outcomes for every Higher Education institution.

"By better leveraging data, colleges and universities can transform operations and support student success, but it’s critical to keep change management processes in mind when stitching data into an institution’s fabric."

"What is student success? Let’s start with the most fundamental definition: completing and receiving a degree. For decades, national completion rates have hovered around 20-30 percent in three years for an associate’s degree and 50-60 percent in six years for undergraduate degrees."

"The idea of an advisor telling a student who just received an associate's degree to next enroll in a Ph.D. program seems farcical. But, leaders in higher education act similarly when it comes to analytics by embarking to create predictive models without first building a baseline level of understanding around data and analytics."

The past few years has been like a dream come true for those who work in analytics and big data. There is a new career path for platform engineers to learn Had…