ACCELERATING ACOUSTICS: A LEARNING PARADIGM WITH PYTHON AND PROMPT ENGINEERING.
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| Title: | ACCELERATING ACOUSTICS: A LEARNING PARADIGM WITH PYTHON AND PROMPT ENGINEERING. |
|---|---|
| Authors: | Ueda, Mari1, Kanamori, Katsuhiro1, Takahashi, Katsumi1, Kiryu, Shogo1, Tanaka, Tetsuo1 |
| Source: | Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age. 2025, p237-243. 7p. |
| Subject Terms: | *Generative artificial intelligence, *Engineering education, *Individualized instruction, *Educational technology, *Problem solving, Python programming language |
| Abstract: | Generative Artificial Intelligence (GenAI) is catalyzing a paradigm shift in higher education, demanding new pedagogical approaches that integrate AI literacy as a core competency. This paper addresses the long-standing challenge of teaching acoustics, a field often perceived as abstract and mathematically intensive by undergraduate students. We propose a novel, 13-week exercise-based course designed for the Faculty of Information Science at the Kanagawa Institute of Technology. This course uniquely integrates Python programming with the systematic application of prompt engineering to facilitate the learning of fundamental acoustics concepts. The methodology involves leveraging GenAI as a personalized tutor, a code-generation assistant for visualization, and a tool for conceptual exploration. The expected outcomes include not only a deeper, more intuitive understanding of acoustics but also the cultivation of critical AI literacy and problem-solving skills essential for the next generation of engineers. This approach has the transformative potential to reshape engineering pedagogy, making complex subjects more accessible and engaging while preparing students for a future of human-AI collaboration. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age is the property of International Association for Development of the Information Society (IADIS) 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: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 190457833 AccessLevel: 6 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ACCELERATING ACOUSTICS: A LEARNING PARADIGM WITH PYTHON AND PROMPT ENGINEERING. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ueda%2C+Mari%22">Ueda, Mari</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kanamori%2C+Katsuhiro%22">Kanamori, Katsuhiro</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Takahashi%2C+Katsumi%22">Takahashi, Katsumi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kiryu%2C+Shogo%22">Kiryu, Shogo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Tanaka%2C+Tetsuo%22">Tanaka, Tetsuo</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Proceedings+of+the+IADIS+International+Conference+on+Cognition+%26+Exploratory+Learning+in+Digital+Age%22">Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age</searchLink>. 2025, p237-243. 7p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Engineering+education%22">Engineering education</searchLink><br />*<searchLink fieldCode="DE" term="%22Individualized+instruction%22">Individualized instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Generative Artificial Intelligence (GenAI) is catalyzing a paradigm shift in higher education, demanding new pedagogical approaches that integrate AI literacy as a core competency. This paper addresses the long-standing challenge of teaching acoustics, a field often perceived as abstract and mathematically intensive by undergraduate students. We propose a novel, 13-week exercise-based course designed for the Faculty of Information Science at the Kanagawa Institute of Technology. This course uniquely integrates Python programming with the systematic application of prompt engineering to facilitate the learning of fundamental acoustics concepts. The methodology involves leveraging GenAI as a personalized tutor, a code-generation assistant for visualization, and a tool for conceptual exploration. The expected outcomes include not only a deeper, more intuitive understanding of acoustics but also the cultivation of critical AI literacy and problem-solving skills essential for the next generation of engineers. This approach has the transformative potential to reshape engineering pedagogy, making complex subjects more accessible and engaging while preparing students for a future of human-AI collaboration. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age is the property of International Association for Development of the Information Society (IADIS) 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=190457833 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 237 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Engineering education Type: general – SubjectFull: Individualized instruction Type: general – SubjectFull: Educational technology Type: general – SubjectFull: Problem solving Type: general – SubjectFull: Python programming language Type: general Titles: – TitleFull: ACCELERATING ACOUSTICS: A LEARNING PARADIGM WITH PYTHON AND PROMPT ENGINEERING. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ueda, Mari – PersonEntity: Name: NameFull: Kanamori, Katsuhiro – PersonEntity: Name: NameFull: Takahashi, Katsumi – PersonEntity: Name: NameFull: Kiryu, Shogo – PersonEntity: Name: NameFull: Tanaka, Tetsuo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2025 Type: published Y: 2025 Titles: – TitleFull: Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age Type: main |
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