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Researchers from the University of Colorado Boulder have developed a way to detect when students using personalized learning software start to daydream . By using machine-learning algorithms on recordings of student eye movement, the researchers were able to figure out which eye patterns were associated with the mind wandering. The study found that when students’ eyes matched “zoning out” patterns, they were less focused on the work than those students who showed “not zoning out” patterns. It also noted that when students were paying attention, their eyes bounced around the screen more. “When you’re zoning out, you’re just fixating,” explained Sidney D’Mello, leader of the University of Colorado research team. “You’re not moving on.” The study could lead to instructional software that monitors mind wandering in real time. That troubles Jill Barshay, a contributing editor for The Hechinger Report who writes about education research and data. “Do we really want to curb mind wandering?” s...

While more k-12 instructors are employing education technology on a daily basis in their classrooms—63% this year, a bump up from 55% last year—a quarter of them still report being intimidated by their students’ use and knowledge of edtech, according to an annual survey from the College of Education at the University of Phoenix. Just over a third of the more than 1,000 respondents blamed inadequate funding for not making greater use of edtech, with 23% citing concerns that technology is too distracting. Even though two-thirds acknowledged that using classroom tech helps their students remain more engaged, more than 70% said that use of personal devices is a distraction in group settings, a rise from 65% in the 2016 survey. When it comes to their own edtech skills, 40% of K-12 teachers said they'd give themselves a grade of "C" or failing, while only 16% gave themselves an "A."