STEM LEARNING RELATED TO SOUND

Generative artificial intelligence - AI, particularly language models, are transforming industries by automating content creation and enhancing human-computer interactions. The STEM education approach in our engineering program is crucial to develop skills and insights that complement and go beyond what language models can achieve. Students must be educated with a highly flexible STEM approach, as AI already can easily handle highly repeatable tasks at a fraction of the cost compared to employee salaries. Without this kind of education, they risk losing their jobs to automation. The aim of this work is to highlight the STEM approach in obtaining and simple processing of sound data using Raspberry Pi.

Authors

Publication Details

Journal
Akustika
Published
2025-01-01
DOI
https://doi.org/10.36336/akustika20254851
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

STEM LEARNING RELATED TO SOUND

M. Janek, Peter Hockicko, Gabriela Tarjányiová
Akustika
Music Technology and Sound Studies
article

STEM LEARNING RELATED TO SOUND

M. Janek, Peter Hockicko, Gabriela Tarjányiová
article en

Abstract

Generative artificial intelligence - AI, particularly language models, are transforming industries by automating content creation and enhancing human-computer interactions. The STEM education approach in our engineering program is crucial to develop skills and insights that complement and go beyond what language models can achieve. Students must be educated with a highly flexible STEM approach, as AI already can easily handle highly repeatable tasks at a fraction of the cost compared to employee salaries. Without this kind of education, they risk losing their jobs to automation. The aim of this work is to highlight the STEM approach in obtaining and simple processing of sound data using Raspberry Pi.

AkustikaVol. 48(48)
Openalex Percentile: Top 94%
Music Technology and Sound Studies
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