Applying lag sequential analysis to detect visual behavioral patterns of online learning activities

Abstract

The article discusses how learners manage online learning behaviours such as active participation and interaction as well as the visual behavioural patterns used. These behavioural patterns could offer guidance for teachers to enhance student learning. Through an empirical observation and lag sequential analysis, which can examine whether or not the relationship between each behavior has been achieved, visual behavioural patterns of online learning activities was used. The visual pattern showed that the majority of students concentrated on browsing peers' works and answering questions.