by Thomas Claburn, Information Week
Millions of people have joined MOOCs — massive open online courses — but only a small fraction of these students end up earning certificates of completion. According to educational researcher Katy Jordan, the average completion rate for MOOCs is about 15%. To help understand why online learners fail to follow through — which matters to educators, online course designers, policymakers, students, and organizations paying for worker training — Kalyan Veeramachaneni, a research scientist at MIT’s Computer Science and Artificial Intelligence Laboratory, and Sebastien Boyer, a graduate student in MIT’s Technology and Policy Program, have developed a technique that can help predict when students will drop an online learning course (an event they call “stopout”).
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