Construction of Multi-Tasks Academic Procrastination Model and Analysis of Procrastination Group Characteristics

Abstract

Academic procrastination could affect the learning effect of students to a certain extent. In order to identify students with procrastination tendency in online courses, this paper constructs a Multi-tasks Academic Procrastination Model. Next, based on the learning log data of an online course, static procrastination indicators and fluctuating procrastination indicators are extracted to analyze students’ procrastination behavior. Lastly, for finding out the behavior characteristics of different procrastination groups, this paper analyzes the procrastination behavior of learners through K-means clustering algorithm and visualization method. The results showed that the academic procrastination model with fluctuating procrastination indicators has better clustering effect than the academic procrastination model with static procrastination indicators, and online learners can be divided into three different procrastination groups, namely, severe procrastinators, general procrastinators and non-procrastinators. According to the characteristics of different procrastination groups, this paper gives some suggestions to reduce the occurrence of academic procrastination in online learning and improve the learning effect.