A Theoretical Framework for Improving English Learner Classification in Higher Education using Management Theories

Abstract

This paper proposes an integrated theoretical framework for improving learner classification in university English education using management theories. By combining Refined Management Theory, Customer Relationship Management Theory, Humanistic Management Theory, and Learning Organization Theory, the study offers a comprehensive model that addresses the diverse needs of learners. Refined Management Theory focuses on data-driven decision-making and precision in student classification, while CRM Theory emphasizes personalized relationships and long-term student engagement. Humanistic Management Theory adds a focus on the emotional and psychological needs of students, and Learning Organization Theory advocates for continuous learning and adaptability within the educational system. This integrated framework aims to improve student engagement, motivation, and learning outcomes by providing a more personalized, flexible, and adaptive approach to learner classification. The paper also discusses the strengths, challenges, and contributions of the proposed framework, highlighting its potential to create a more inclusive and effective learning environment. The study concludes by suggesting areas for future research, particularly in implementing and evaluating the framework in real-world educational settings.