AI, Retention, and the Changing Face of Student Success
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