Accelerating Acoustics: A Learning Paradigm with Python and Prompt Engineering
Saved in:
| Title: | Accelerating Acoustics: A Learning Paradigm with Python and Prompt Engineering |
|---|---|
| Language: | English |
| Authors: | Mari Ueda, Katsuhiro Kanamori, Katsumi Takahashi, Shogo Kiryu, Tetsuo Tanaka |
| Source: | International Association for Development of the Information Society. 2025. |
| Availability: | 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 |
| Publication Date: | 2025 |
| Document Type: | 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 |
| Geographic Terms: | 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 |
| Accession Number: | ED677842 |
| Database: | ERIC |
Be the first to leave a comment!