AI to the Rescue of Universities: Reducing Dropout Rates
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About 30% of university students drop out without obtaining a degree, according to the Education Data Initiative. This situation often leads to higher unemployment rates and lower long-term earnings compared to graduates.
To counter this phenomenon, higher education institutions are turning to artificial intelligence tools. These technologies enable the quick identification of students at risk of dropping out, provide personalized learning, offer continuous support, and enhance student engagement.
Identifying At-Risk Students
AI systems are capable of spotting early warning signs of potential dropouts. By analyzing various data, they can alert academic advisors to intervene promptly.
Personalized Learning
Artificial intelligence allows for the creation of learning paths tailored to the individual needs of students, thereby increasing their chances of success.
24/7 Assistance
With AI, students can benefit from constant support, whether for academic or administrative questions, thus reinforcing their sense of support.
Increased Engagement
By improving interaction and personalization, these tools aim to maintain students' interest in their studies, thereby reducing the risk of dropout.
Universities have long recognized the need for personalized and timely support for struggling students, but the means to achieve this have not always been sufficient. AI could very well be the long-awaited solution.
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