STEM LEARNING RELATED TO SOUND
DOI:
https://doi.org/10.36336/akustika2024851Keywords:
STEM, Raspberry PI, MEMS microphoneAbstract
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.

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Copyright (c) 2025 Marian Janek, Peter Hockicko, Gabriela Tarjanyiová (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Journal Akustika is peer reviewed journal indexed in Scopus database and
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