A Case Study on LLM Code Generation in Sonic Pi and Its Impact on Student Attitudes towards Computer Science

Research has demonstrated that creating music and soundscapeswith tools like Sonic Pi can enhance the appeal of computer scienceand music composition as fields of study. However, with currentadvancements in artificial intelligence (AI), the nature of computer science is evolving rapidly, particularly with AI’s ability to generate code from a single prompt. Similarly, AI technologies have already begun to transform music composition by enabling thegeneration of music. This study investigates whether live codingwith large language models (LLMs) such as ChatGPT and Copilotinfluences perceptions of entering the fields of music compositionand computer science. Understanding the impact of AI is crucial, asit increasingly shapes various domains of our lives. To explore this,we instructed a random sample of high school students in the basicsof live coding, emphasizing the inclusion of AI tools. The resultsindicate a positive shift in students’ attitudes toward programmingand music creation, suggesting that AI serves as a beneficial toolrather than a detrimental one.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.14279494
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Case Study on LLM Code Generation in Sonic Pi and Its Impact on Student Attitudes towards Computer Science

Zenodo (CERN European Organization for Nuclear Research)
Music Technology and Sound Studies
article

A Case Study on LLM Code Generation in Sonic Pi and Its Impact on Student Attitudes towards Computer Science

article en

Abstract

Research has demonstrated that creating music and soundscapeswith tools like Sonic Pi can enhance the appeal of computer scienceand music composition as fields of study. However, with currentadvancements in artificial intelligence (AI), the nature of computer science is evolving rapidly, particularly with AI’s ability to generate code from a single prompt. Similarly, AI technologies have already begun to transform music composition by enabling thegeneration of music. This study investigates whether live codingwith large language models (LLMs) such as ChatGPT and Copilotinfluences perceptions of entering the fields of music compositionand computer science. Understanding the impact of AI is crucial, asit increasingly shapes various domains of our lives. To explore this,we instructed a random sample of high school students in the basicsof live coding, emphasizing the inclusion of AI tools. The resultsindicate a positive shift in students’ attitudes toward programmingand music creation, suggesting that AI serves as a beneficial toolrather than a detrimental one.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 60%
Music Technology and Sound Studies
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