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Data-Driven Iterative-Evolution-Participatory Design Model on Motion-Based Science Educational Application for ADHD Learners

  • Ahmad Fazil Zainal
  • Halimah Badioze ZamanEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10645)

Abstract

Attention Deficit Hyperactivity Disorder (ADHD) learners are identified as having problems in learning due to their distinctive characteristics of hyperactivity and inability to give attention to learning. Gamification technology, especially motion-based gamification application, specifically designed for ADHD learners can have significant promise for individuals with ADHD. This paper focuses on the data-driven iterative design adopted on the development of the motion-based science educational application for ADHD learners (Sains-4SL) and its evaluation based on the effectiveness construct of this motion-based science educational application. The effectiveness of this motion-based science educational application was measured based various indicators such as: its learnability, students’ attitude towards the application; and the science literacy aspects of the students after experiencing using the application. The data-driven iterative-participatory design approach which underwent many rounds of iterations, was found to be effective in the design and development of the application as these iterations, contributed to a more accurate specification requirements for the ADHD learners. The evaluation conducted found that the motion-based science educational application (Sains-4SL) was positively effective in supporting ADHD learners learn science.

Keywords

Attention Deficit Hyperactivity Disorder (ADHD) Science educational application Motion-based technology Data-driven iterative-participatory design approach 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Visual InformaticsUniversiti Kebangsaan MalaysiaBangiMalaysia

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