The KP-Traversal Scheme

Abstract

A lecture aims to explain a topic. This topic is composed of several concepts and sub-concepts. These concepts and sub-concepts can be grouped to form a knowledge point (KP) structure. These KPs are further arranged in the form of a hierarchy called KP-Hierarchy. The order in which teachers explain these KPs to the students is called the traversal order. A traversal order plays a significant role in deciding the success of a lecture because different traversal orders suit different types of students. While lecturing, experienced teachers tune their lectures by finding appropriate traversal orders based on the class response. Whereas new or inexperienced teachers struggle hard to identify different traversal orders to teach different types of students. Can we automate the traversal order identification process concerning different types of students? This research provides a handle to address this problem. This research proposes a KP-Traversal scheme that automates the traversal order generation process. We believe that this research helps the education industry to develop pedagogically effective personalized learning systems.