CNT: concept-map based navigation and discovery in a repository of learning content

Abstract

In this paper, we present a tool that automatically connects keywords in student generated concept maps to relevant learning components in our digital repository. Currently, there are over 6,000 heterogeneous components available in our systems, with more than 1,000 dedicated to the teaching of ECE 2025, an introductory course in Signal Processing. These components consist of captured lectures, support material, multimedia examples, worked problems and others. The CNT (concept navigation tool) connects concept map nodes to course content based on keywords embedded in the concept nodes. CNT goes beyond just integrating search techniques with a map-authoring tool. The concept maps constructed by students become the navigation tool that allows them to explore the relevant content and improve or expand their concept maps as their understanding grows. This environment was designed to increase the depth of a student's conceptual understanding of course material. The paper includes details about the design and implementation of the CNT system and the supporting data systems.