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      MathRun: An Adaptive Mental Arithmetic Game Using A Quantitative Performance Model

      proceedings-article
      1 , 1
      Proceedings of the 30th International BCS Human Computer Interaction Conference (HCI)
      Fusion
      11 - 15 July 2016
      Educational Games, Incentive Structure in Games, Adaptive Level Progression, Game Design for Children
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            Abstract

            Pedagogy and the way children learn are changing rapidly with the introduction of widely accessible computer technologies, from mobile apps to interactive educational games. Digital games have the capacity to embed many learning supports using the widely accredited VARK (visual, auditory, reading, and kinaesthetic) learning style. In this paper, we present a mathematics educational game MathRun for children age between 7-11 years old to practice mental arithmetic. We build the game as an interactive learning environment that fuses game mechanics with learning and uses the popular game genre “infinite runner” as the game mode. The game consists of an automatically generated infinite game map and mathematical questions also procedurally generated with varied levels of difficulty and complexity. A novel real-time performance evaluation method is developed for quantitative modeling the performance of the player. The model evaluates the performance in each primitive map block of the game map and level progression is automatically carried out based on the result of the evaluation. Therefore, the proposed game-based learning environment is adaptive to players with dynamic level progressions based on the combination of not only mathematics ability, but also gameplay skills of the player to facilitate learning processes through gameplay and appropriate adaptive progression of maths ability.

            Content

            Author and article information

            Contributors
            Conference
            July 2016
            July 2016
            : 1-8
            Affiliations
            [0001]Department of Creative Technology Faculty of Science and Technology Bournemouth University, Fern Barrow Poole, Dorset, BH12 5BB UK
            Article
            10.14236/ewic/HCI2016.77
            e861fa59-874f-4c6b-b996-f52a7b53eae0
            © Chen et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2016 Conference Fusion, Bournemouth, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the 30th International BCS Human Computer Interaction Conference
            HCI
            30
            Bournemouth University, Poole, UK
            11 - 15 July 2016
            Electronic Workshops in Computing (eWiC)
            Fusion
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2016.77
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Educational Games,Incentive Structure in Games,Adaptive Level Progression,Game Design for Children

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