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Developing Games For The Purposes of Rote Learning for Keyboard and Piano.

Brett, J., Gladwell, T., Xu, N., Amelidis, P., Davis, T. and Gatzidis, C., 2020. Developing Games For The Purposes of Rote Learning for Keyboard and Piano. In: 2020 IEEE Conference on Games (CoG), 24-27 Aug 2020, Osaka, Japan, 724 - 727.

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Official URL: https://ieeexplore.ieee.org/document/9231779

DOI: 10.1109/CoG47356.2020.9231779

Abstract

This paper describes the development of a set of three video games designed to reduce the high drop-off rates associated with learning to play the piano/keyboard by gamifying rote tasks that require monotonous practice. By defining our own understanding of what musicianship is and creating a custom framework for assessment through the use of existing curriculum, we have chosen specific areas which require the most rote learning and are critical to developing motor skills and to building an understanding of music; these include learning and practicing scales, keeping in time with tempo and the basics of hand coordination and fingering styles. Existing solutions that attempt to resolve the issue of high drop off rates observed with beginner instrument learners use elements of gamification in order to enrich their learning experiences and also help increase motivation. These approaches do work but in most cases they offer short term solutions; a key issue is retaining users over long periods of time and ensuring that they practice consistently and regularly. We developed solutions which offer a way for learners to practice in an engaging and entertaining way, with the intention to reduce the drop-off rates and lower the barrier for entry to learning piano/keyboard.

Item Type:Conference or Workshop Item (Paper)
ISSN:2325-4289
Additional Information:https://ieeexplore.ieee.org/xpl/conhome/9222389/proceeding INSPEC Accession Number: 20075338
Uncontrolled Keywords:piano; keyboard; gamification; musicianship; rote; learning; retention; pedagogy
Group:Faculty of Science & Technology
ID Code:34849
Deposited By: Symplectic RT2
Deposited On:24 Nov 2020 13:38
Last Modified:14 Mar 2022 14:25

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