Principles of Knowledge Discovery in Digital Learning

Abstract

In the rapidly evolving landscape of online education, the ability to sift through vast amounts of data to uncover meaningful patterns becomes paramount. This chapter delves into the methodologies and techniques central to understanding the behaviors, interactions, and preferences of learners in a digital environment. This study provides a foundational understanding of knowledge discovery processes tailored to the unique attributes of educational data. It underscores the significance of various data sources in online learning, from interaction logs and content metadata to user feedback, and how these can be systematically processed and analyzed. Furthermore, preliminary data exploration techniques, tailored to educational data, are delineated, facilitating the extraction of impactful patterns from online learning behavior. Through this study, educators, platform developers, and researchers can harness the power of knowledge discovery to craft enhanced and personalized online learning experiences.