AI, Retention, and the Changing Face of Student Success

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Authors: Phil Ice
Cited by: 0

Abstract

Higher education faces persistent challenges in student retention, with traditional strategies often falling short. The advent of artificial intelligence (AI) has transformed this landscape by offering precision and real-time adaptability. AI-driven predictive analytics can identify at-risk students earlier and more accurately than traditional methods, enabling proactive interventions. Institutions like the University of Central Florida and Georgia State University are pioneering AI-driven retention initiatives, leveraging tools such as chatbots and adaptive learning platforms. While AI presents ethical concerns, such as data privacy and algorithmic bias, its potential to enhance student success is significant. By balancing innovation with responsibility, institutions can harness AI to create personalized, scalable support systems that augment human connection, ultimately improving retention and student outcomes.

Fields of Study & Subjects

Artificial Intelligence in Education Online Learning and Analytics Higher Education Research Studies

Publication details

Journal / source
Routledge eBooks
Pages
100–110
Publication date
3 February 2026
Language
EN
Document type
Book chapter