Accelerating Acoustics: A Learning Paradigm with Python and Prompt Engineering

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Titel: Accelerating Acoustics: A Learning Paradigm with Python and Prompt Engineering
Sprache: English
Autoren: Mari Ueda, Katsuhiro Kanamori, Katsumi Takahashi, Shogo Kiryu, Tetsuo Tanaka
Quelle: International Association for Development of the Information Society. 2025.
Verfügbarkeit: International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Peer Reviewed: Y
Page Count: 7
Publikationsdatum: 2025
Publikationsart: Speeches/Meeting Papers
Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Descriptors: Undergraduate Students, Programming Languages, Artificial Intelligence, Higher Education, Acoustics, Foreign Countries, Information Science Education, Prompting, Teaching Methods, Technology Uses in Education, Technology Integration, Curriculum Development
Geografische Kategorien: Japan
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. [For the complete proceedings, "Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (22nd, Porto, Portugal, November 1-3, 2025)," see ED677812.]
Abstractor: As Provided
Entry Date: 2026
Dokumentencode: ED677842
Datenbank: ERIC
Beschreibung
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. [For the complete proceedings, "Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (22nd, Porto, Portugal, November 1-3, 2025)," see ED677812.]