Using Action Analysis in ActiveMath to Estimate Student Motivation

Recently, there is a growing interest in the automatic analysis of learner interaction data with web-based learning environments. The approach presented in this paper aims at helping to establish a basis for the automatic analysis of interaction data by developing a data logging and analysis system based on a standard data base server and standard machine learning techniques. The analysis system has been connected to a web-based interactive learning environment for mathematics teaching , but is designed to allow for interfacing also to other web based learning environments. The system has been used to correlate student logs from an educational technologies course with a motivation assessment.