A Study on Effective Teaching of Fuzzy Controller Design Using ChatGPT
Dong Hwa Kim
Dong Hwa Kim, DSTSC (Daeduck S&T Social Cooperation, S. Korea.
Manuscript received on 19 July 2024 | Revised Manuscript received on 31 July 2024 | Manuscript Accepted on 15 September 2024 | Manuscript published on 30 September 2024 | PP: 28-42 | Volume-13 Issue-3, September 2024 | Retrieval Number: 100.1/ijrte.C813913030924 | DOI: 10.35940/ijrte.C8139.13030924
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with an effective teaching method of fuzzy controller design using ChatGPT and Python at the University. Currently, ChatGPT and related technologies are penetrating all areas, including text, image, video, as well as AI and industry. ChatGPT technologies are strongly connected to the education of universities and K-12 schools due to their ease of use and accurate responses. There are two categories of AI-related education. The first is AI-supported education; the other is education (teaching and learning) that teaches AI. In any case, AI and the ChatGPT method should be taught in conjunction with theory and a process. It should be performed with S/W for the student’s understanding. This paper provides a method for utilising ChatGPT effectively in fuzzy controller design for education. To illustrate ChatGPT-based fuzzy controller design, this paper uses a ChatGPT prompt and suggests a suitable prompt skill.
Keywords: ChatGPT, Prompt, Fuzzy logic, Pendulum, AI, Education
Scope of the Article: Fuzzy Logics