Understanding Graph and Understanding Map and their Potential Applications

TL;DR

This paper introduces the concepts of Understanding Graph and Understanding Map, derived from the Understanding Tree, highlighting their unique data sources and relation structures, and exploring their potential applications in measuring concept complexity, importance, and optimizing learning sequences.

Contribution

It proposes new concepts of Understanding Graph and Map, expanding on the Understanding Tree, and discusses their potential applications and distinctive features.

Findings

Potential to measure concept complexity and importance

Applications in optimizing learning sequences

Distinct data sources and relation structures

Abstract

Based on the previously proposed concept Understanding Tree, this paper introduces two concepts: Understanding Graph and Understanding Map, and explores their potential applications. Understanding Graph and Understanding Map can be deemed as special cases of mind map, semantic network, or concept map. The two main differences are: Firstly, the data sources for constructing Understanding Map and Understanding Graph are distinctive and simple. Secondly, the relations between concepts in Understanding Graph and Understanding Map are monotonous. Based on their characteristics, applications of them include quantitatively measuring a concept's complexity degree, quantitatively measuring a concept's importance degree in a domain, and computing an optimized learning sequence for comprehending a concept etc. Further study involves evaluating their performances in these applications.