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Design to Improve Educational Competency Using ChatGPT

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.16 No.1 (2024.03)바로가기
  • 페이지
    pp.182-190
  • 저자
    Choong Hyong LEE
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A445425

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원문정보

초록

영어
Various artificial intelligence neural network models that have emerged since 2014 enable the creation of new content beyond the existing level of information discrimination and withdrawal, and the recent generative artificial intelligences such as ChatGPT and Gall-E2 create and present new information similar to actual data, enabling natural interaction because they create and provide verbal expressions similar to humans, unlike existing chatbots that simply present input content or search results. This study aims to present a model that can improve the ChatGPT communication skills of university students through curriculum research on ChatGPT, which can be participated by students from all departments, including engineering, humanities, society, health, welfare, art, tourism, management, and liberal arts. It is intended to design a way to strengthen competitiveness to embody the practical ability to solve problems through ethical attitudes, AI-related technologies, data management, and composition processes as knowledge necessary to perform tasks in the artificial intelligence era, away from simple use capabilities. It is believed that through creative education methods, it is possible to improve university awareness in companies and to seek industry-academia selfreliant courses.

목차

Abstract
1. Introduction
2. Related works
2.1. ChatGPT
2.2. Background technologies of ChatGPT
3. AI literacy for educational competency using ChatGPT
3.1. Concept of literacy
3.2. Concept of AI literacy
3.3. Applications of AI literacy
4. Design for educational competency using ChatGPT
4.1. Misunderstandings and limitations of GPT
4.2. Plan design for applying ChatGPT education to universities
5. Conclusions
Acknowledgement
References

저자

  • Choong Hyong LEE [ Associate Professor, Dept. of Bigdata & Industry Security, Namseoul Univ., Republic of Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

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