“If this practice was rolled out more widely, the information would alert universities to who is at risk”
AI could soon be helping universities spot students who are struggling early so they can better support them and prevent them from dropping out, says Fred Singer, CEO of platform Echo360.
Imagine you’re a lecturer in the early days of teaching a large group of first and second-year students. You’re still getting to know your audience, but there aren’t many questions coming from the room, making it hard to confirm students’ understanding of the topics being covered.
You’re confident about the quality of your lecture, but questions linger.
Are some students struggling silently due to a limited grasp of English? Does the lack of questions indicate confusion rather than comprehension? Are students opting out of group discussions because they’re shy or because they don’t understand the concepts being debated?