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Monitoring Learning in ABA Teaching of Children with Autism

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.

EC-TEL 2013 Eighth European Conference on Technology Enhanced Learning, Paphos (Cyprus), 2013

External authors: Valentina Bartalesi (ISTI - CNR), Barbara Leporini (ISTI - CNR)
IIT authors:

Type: Invited article in proceedings of international conference
Field of reference: Information Technology and Communication Systems
Activity: Accessibility and Usability of User Interfaces