Factors Influencing Student Withdrawal and Predictive Approaches for Retention in Higher Education

Student Belonging and Well-Being in Higher Education Retention 2026 Book chapter

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Authors: Arun Agrawal, Vandana Tiwari, Angel Ruth Shalom Banerjee, Manoj Kumar Jhariya, Iram Hashmi, Neerja Garg, Rishi Soni, Deepak Gupta
DOI: 10.4018/979-8-2600-2168-2.ch001
Cited by: 1
References: 21

Abstract

Student withdrawal is a persistent challenge in higher education, influenced by academic, socioeconomic, psychological, institutional, and digital factors. This chapter examines theoretical models of student attrition and reviews key determinants of withdrawal across diverse educational contexts. It further explores data sources and predictive approaches, including statistical and machine learning models, to identify at-risk students and support proactive retention strategies. By integrating predictive analytics with academic, financial, psychological, and technology-driven interventions, the chapter provides evidence-based insights for educators, administrators, and policymakers to enhance student persistence and institutional effectiveness.

Fields of Study & Subjects

Higher Education Research Studies Online Learning and Analytics Innovations in Educational Methods

Publication details

Journal / source
Student Belonging and Well-Being in Higher Education Retention
Publisher
IGI Global Scientific Publishing
Pages
1–38
Publication date
29 May 2026
Language
NG
Document type
Book chapter