For years, there’s been a movement to personalize student learning based on each child’s academic strengths, weaknesses, and preferences. Now, some experts believe such efforts shouldn’t be limited to determining how well individual kids spell or subtract. To be effective, the thinking goes, schools also need to know when students are distracted, whether they’re willing to embrace new challenges, and if they can control their impulses and empathize with the emotions of those around them.
Something that Martin E. P. Seligman has discussed about in regards to Facebook. Having recently been a part of demonstration of SEQTA, I understand Ben Williamson’s point that this “could have real consequences.” The concern is that all consequences are good. Will Richardson shares his concern that we have forgotten about learning and the actual lives of the students. Providing his own take on the matter, Bernard Bull has started a seven-part series looking at the impact of AI on education, while Neil Selwyn asks the question, “who does the automated system tell the teacher to help first – the struggling girl who rarely attends school and is predicted to fail, or a high-flying ‘top of the class’ boy?” Selwyn also explains why teachers will never be replaced.