An Analysis of Learning Processes using Scrapbox and Learning Outcomes

Abstract

In order to improve students' learning activities, it is important for teachers to understand how they learn both inside/outside classes and to support them in line with each student's actual learning process. In this research, we analyzed recorded data on an online note system, Scrapbox, to clarify students' learning processes and outcomes. The data were created by students as the performance of tasks on Scrapbox and collected as its log files. As a result, we could quantify and visualize some students' knowledge network building on online notes. In addition, it was implied that a deep learning with consciousness of the association among different knowledge had a possibility to enhance student’s self-evaluation of his/her understanding.