Monitoring learning in children with autism

Abstract

We present a learning analytic tool for analyzing data collected during didactic sessions performed by children with autism, via software. The tool is a web application that automatically extracts, aggregates and visualizes the children's performance data collected when they perform technology-enhanced exercises during didactic activities. The aim is to provide teachers with easy real-time monitoring of learning progress or difficulties over time, thus enabling continuous and personalized tuning of the didactic intervention. Extracted data can be visualized through tables and graphics, allowing the user to further explore them in an interactive modality. Educators were involved in the design phase of the tool, in order to define the most important analysis parameters to extract from the huge amount of collected data. The educators were also involved in the test phases to improve the system's usability. © 2013 Springer-Verlag.