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eSN Special Report: Smarter Education
Predictive analytics can help schools quickly identify at-risk students—so they can intervene before it’s too late
For years, marketers have used sophisticated software to track consumers’ buying habits and web browsing activity, then crunch this information and—based on the data—make a series of intelligent predictions that allow them to target their sales messages much more effectively.
Now, this same technology is appearing in schools and colleges as well—and observers say it’s a development that could revolutionize education.
Click here to access the full report from Page 2.
Using predictive analytics software, teachers at Georgia’s Gwinnet County Public Schools soon will be able to see at a glance which students might need more help. Sinclaire Community College in Ohio has cut its student dropout rate in half. And the online American Public University System has watched its course completion rate steadily climb.
These breakthroughs come at a key time for U.S. education, which is under enormous pressure to innovate and provide better learning opportunities.
As school district officials struggle to meet the goal of having all students graduate from high school ready for college or a career, the challenges are significant: Operating costs are on the rise, while budgets for public institutions are shrinking. Infrastructures are aging and need costly updates. Changing demographics require that schools change, too, to meet the shifting needs of students. Performance is declining at the same time that expectations are rising. And “working harder” is simply not a sustainable option.
“When we talk with government policy makers and senior education leaders, there’s a recognition that education is the differentiator for national success. Everyone recognizes that education is critical, but [schools] still get their budgets cut all the time,” said Michael King, vice president of global education for IBM. “People in education really grapple with that problem.”
To overcome these challenges, the education field needs new and innovative approaches. And predictive analytics is one such promising solution.
2 Responses to eSN Special Report: Smarter Education
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DrEdlyell
November 5, 2011 at 11:17 pm
This story and what it reports could be the ‘magic wand’ that can make education more productive.
As a Professor of Marketing and Economics for 40 years I have watched the marketing field better understand consumers and their behavior and use this knowledge to customize marketing.
As a State Board of Education member starting in the 1980′s I have always tried to get schools to use education technology, and other technology, like predictive analysis, to customize learning for each student. We can do that better each year, but first we must put aside the barriers to change and present status quo teacher work rules, classroom and time focus, etc.
There are many ideas for how to do this from what I have written at http://www.edlyell.com under articles or the radio show blog.
cynthiaw
January 23, 2012 at 3:25 pm
Teachers often complain that if they had information available and the instructional strategies avaiable to them would lessen their stress level. Teachers have stated that they don’t have time to compile the data, analyze the data and turn around to find strategies for individual students needs. Having the predictive analytics available will free up their time to send individual quality tie with students who need individual attention.