GTRAS: Graphical Tracking Activity System for Problem-Posing Learning Process Insights

Abstract

The analysis of learner’s learning process on an interactive learning media tends to involve a huge amount of data gathering. The analysis aims to explore patterns and relationship of such data to understand the learning experience and identifying learner’s trap states in the learning process. Such data analysis tends to be a nuisance for stakeholders such as class instructors (i.e., teachers) and educational researchers. This research suggests a development of a web-based software application that utilizes the usage of visual artifacts as an approach of educational data mining to analyze learner’s learning process in an interactive learning media. The developed software aims to visualize the learner’s activity sequence, furthermore, to identify learning paths toward bottleneck states due to lack of understanding of a problem given. Such information is then passed to the instructors as a key information to create a proper feedback to the learners based on its results. As a case study, this research uses the data log of Monsakun, a digital learning environment that focuses on exercising arithmetic using story-based question by using a problem-posing approach with an integration of mathematical sentences.