Abstract

In the contemporary era of digital higher education universities are increasingly reliant on online learning platforms to deliver structured scalable and personalized learning experiences. However the massive and unstructured nature of digital learning resources creates significant challenges in organizing retrieving and utilizing institutional knowledge effectively. A robust knowledge taxonomy serves as a foundational framework that defines how learning materials competencies cognitive skills assessments and pedagogical interactions are categorized and interconnected. The construction of such a taxonomy enables systematic classification efficient navigation and deeper knowledge discovery for students faculty and administrators. This research paper explores the conceptualization development and validation of a comprehensive knowledge taxonomy derived from data generated through a university’s online learning platform. It focuses on pedagogical patterns learner interactions resource met