Dropping out early is one of the main concerns in online higher education, especially during the first year of a degree. An interdisciplinary team of researchers from the Universitat Oberta de Catalunya (UOC) has developed a new system based on artificial intelligence algorithms that makes it possible to identify on a daily basis those students that are at risk of failing and can automatically take early action by sending personalized messages to reverse the situation.
Click here for original story, Using AI, university monitors online students at risk of dropping out
Source: Phys.org