One approach for teaching subjects with autism is Applied Behavior Analysis (ABA). ABA intervention aims to model human behavior by observing, analyzing and modifying antecedents and/or consequences of a target behavior in the environment. To achieve this, many data are recorded during each trial, such as subject response (correct/incorrect, level of prompt, inappropriate behavior, etc.). In this paper we present a web application that aggregates and visualizes data collected during technology-enhanced educational sessions, in order to monitor learning in children with autism. In a previous study we developed a free open source web application called ABCD SW, to support educators in administering ABA programs. In this study we present a learning analytic tool that retrieves, aggregates and shows – in graphical and table form – data gathered by ABCD SW. This software offers accurate real-time monitoring of children’s learning, allowing teachers to analyze the collected data more rapidly, and to accurately tune and personalize the intervention for each child.

Keywords: {Learning Analytic tool, Data Analysis, web application, Autism, ABA}

File: http://link.springer.com/chapter/10.1007%2F978-3-319-07440-5_20