Learning Behavioral Pattern Analysis based on Students’ Logs in Reading Digital Books

Abstract

In this paper, we presented a study developing a digital textbook system, which could be used anywhere, anytime. An experiment was conducted using the developed system to collect students’ learning logs for analyzing their behavioral patterns on an Educational Technology course for graduate students. In the experiment, we assigned the students to read an academic English journal article. The lag-sequential analysis method was employed to analyze and infer their behavioral patterns. Several interesting behavioral patterns were found from the analysis results. The findings are helpful to the improvement of the digital textbook system; moreover, some behavioral patterns could provide helpful references for teachers to improve teaching materials in the future.