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ChatGPT's Questions for Korean Engineering Education: Implications and Challenges

ChatGPT가 한국 공학교육에 던지는 질문: 그 의미와 과제

  • Received : 2023.07.21
  • Accepted : 2023.08.31
  • Published : 2023.09.30

Abstract

Generative AI has arrived and it's here. Education, research, industry, and labor are all on edge about the changes it will bring. It is noteworthy that while there is a wide range of optimistic and pessimistic predictions about the impact of generative AI, there is more concern than hope when it comes to education. This paper focuses on the lack of discussion on the impact of AI in higher education. First, we reviewed the process of the emergence of generative AI and introduced how the impact of AI is being understood from various perspectives. Second, we classified work areas based on expertise and efficiency and analyzed the impact of AI on work in each area. Finally, the study found that the educational perception of generative AI and the way it is perceived for engineering education purposes can be very different. It also argued that there is a lack of active discussion and debate on areas that need to be specifically discussed around generative AI. This has led to a phenomenon known as professors' delayed indifference. We emphasized that it is time for a serious and realistic discussion on the connection and integration of AI and education.

Keywords

Acknowledgement

이 논문은 산업통상산업부의 지원을 받아 수행된 연구임(저탄소/에너지기술 미래신산업 육성을 위한 창의융합형공학 인재양성, 과제번호: P0020590).

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