Analyzing Student Behavior in Viat-map: Steps and Time as Performance Indicators

Abstract

Number of steps and time duration needed while solving the problem can be considered as a representative of student's learning behavior and their effort of understanding. Learning Analytics is a process for monitoring students' thinking process and can become strong evidence to support teachers' objectives in class. Viat-map is an application that implements the Toulmin Argument method and reconstruction approach. It will assist students to think logically by following the teacher's logic, and it shows a positive contribution in the learning process. The reconstruction process used in Viat-map also offers immediate evaluation of student's mistakes. However, a challenge arises in the Viat-map's evaluation of the student's learning process, as the reconstruction process requires students to have the correct answer to complete the learning process. Having this way, new approaches in using student's behavior as learning process score (Viat-map score) are offered. This study involved 105 Students divided into 58 students from the previous research (2023) and 47 students to confirm the Viat-map score (2024). K-Means clustering was chosen for its ability to perform unsupervised clustering, ANOVA was used for comparing more than two groups, and Pearson Correlation was used to examine the relationship between two sets of data. The results suggest that the number of steps taken and the time spent in the learning process can be considered positive indicators of student behavior in the learning process.