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An Analytic Tool for Assessing Learning in Children with Autism

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 8514)

Abstract

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

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Bartalesi, V., Buzzi, M.C., Buzzi, M., Leporini, B., Senette, C. (2014). An Analytic Tool for Assessing Learning in Children with Autism. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. Universal Access to Information and Knowledge. UAHCI 2014. Lecture Notes in Computer Science, vol 8514. Springer, Cham. https://doi.org/10.1007/978-3-319-07440-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-07440-5_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07439-9

  • Online ISBN: 978-3-319-07440-5

  • eBook Packages: Computer ScienceComputer Science (R0)