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Computational musicking: music + coding as a hybrid practice.

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Title: Computational musicking: music + coding as a hybrid practice.
Authors: Roberts, Cameron L., Horn, Michael S.
Source: Behaviour & Information Technology. Mar2025, Vol. 44 Issue 5, p993-1013. 21p.
Subjects: Music, Research funding, Bioinformatics, Creative ability, Information literacy, Medical coding, Thought & thinking
Abstract: While there is a growing body of research that explores the integration of music and coding in learning environments, much of this work has either emphasised the technical aspects of computer language design or music as a motivational context within which to learn computer science concepts. In this paper, we report on a study in which five undergraduate students with experience in both music and coding completed two creative musical tasks: one using conventional instruments and tools and one using Python code in an online music + coding environment. Inspired by the work of Christopher Small (1998. Musicking: The Meanings of Performing and Listening. University Press of New England), we describe music + coding as a set of interlocking processes which we call computational musicking and explore how practices from both domains are reimagined in this new hybrid context. We introduce semiotic theories of translation and transcription to make sense of the computational musicking process and describe strategies that participants devised in their creative process. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Computational musicking: music + coding as a hybrid practice.
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  Data: <searchLink fieldCode="AR" term="%22Roberts%2C+Cameron+L%2E%22">Roberts, Cameron L.</searchLink><br /><searchLink fieldCode="AR" term="%22Horn%2C+Michael+S%2E%22">Horn, Michael S.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. Mar2025, Vol. 44 Issue 5, p993-1013. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Music%22">Music</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink><br /><searchLink fieldCode="DE" term="%22Creative+ability%22">Creative ability</searchLink><br /><searchLink fieldCode="DE" term="%22Information+literacy%22">Information literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+coding%22">Medical coding</searchLink><br /><searchLink fieldCode="DE" term="%22Thought+%26+thinking%22">Thought & thinking</searchLink>
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  Data: While there is a growing body of research that explores the integration of music and coding in learning environments, much of this work has either emphasised the technical aspects of computer language design or music as a motivational context within which to learn computer science concepts. In this paper, we report on a study in which five undergraduate students with experience in both music and coding completed two creative musical tasks: one using conventional instruments and tools and one using Python code in an online music + coding environment. Inspired by the work of Christopher Small (1998. Musicking: The Meanings of Performing and Listening. University Press of New England), we describe music + coding as a set of interlocking processes which we call computational musicking and explore how practices from both domains are reimagined in this new hybrid context. We introduce semiotic theories of translation and transcription to make sense of the computational musicking process and describe strategies that participants devised in their creative process. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/0144929X.2024.2402533
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        Text: English
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        Type: general
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              Text: Mar2025
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