New tool uses big data to predict student performance

Gigaom

To help figure out how well they might do in a particular class, college students can turn to faculty-ranking websites, school surveys and their peers. But a new tool from Canadian ed tech company Desire2Learn aims to predict students’ success based not on the experiences of others but on their own past performance.

The company’s analytics engine also helps instructors and students for the duration of a course, warning instructors when students are falling behind on key concepts and offering insights that could help them keep up. “It provides deeper insights to teachers on how to achieve better outcomes, what’s working and what’s not working,” said Desire2Learn CEO John Baker.

Based in Waterloo, Canada, Desire2Learn offers a learning management system for colleges that’s competitive with Blackboard and says more than 10 million students in higher education use its technology. Its new analytics product, which the company calls its Student Success System, builds…

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