Time Spent Online as an Online Learning Behavior Variable in a Blended Learning Environment with an Ontology-Based Intelligent Tutoring System

摘要

This paper discusses a study conducted in a blended learning environment for an introductory computer programming course. The experimental environment is a type of flipped classroom model, in which students initially learn the basic concepts online and then learn traditional lecture in the subsequent class. During the design phase of a blended learning course, it is important to determine the time frame a teacher expects from students regarding spending time online. Therefore, the aim of this study of AC-ware supported education is to identify online learning time frames. After the students use AC-ware Tutor for four experimental weeks, we will investigate their weekly online learning behavior. The online learning behavior will be represented using the knowledge tracking variables complemented by additional stereotype tracking variables. By using K-means algorithm, we will highlight four groups of specific online learning behaviors. The performance of each student group will be described using weekly paper-based concept map posttests.