• Title/Summary/Keyword: GPT

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An Analysis of Pre-service Teachers' Mathematics Lesson Design Using ChatGPT (ChatGPT를 활용한 예비교사의 수학수업설계 분석)

  • Lee, Yujin
    • Communications of Mathematical Education
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    • v.37 no.3
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    • pp.497-516
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    • 2023
  • The purpose of this study is to explore the possibility of enhancing teachers' pedagogical design capacity using ChatGPT. For this purpose, a survey was conducted to investigate preservice teachers' perceptions of ChatGPT, and lesson plans created using ChatGPT were analyzed from the perspectives of design elements, conversations with ChatGPT, and information transforming. The results showed that pre-service teachers have a rather passive attitude toward the use of ChatGPT, and that teacher moderation and ChatGPT characteristics affect pre-service teachers' perceptions of the use of ChatGPT. In addition, pre-service teachers mainly used ChatGPT for motivational activities and play activities, and there were significant differences in the level of utilization of ChatGPT among individuals, i.e., how they interacted with ChatGPT and how they transformed information. Based on these findings, we explored the possibility of using ChatGPT for teacher professional development and teacher education.

A Study on A Study on the University Education Plan Using ChatGPTfor University Students (ChatGPT를 활용한 대학 교육 방안 연구)

  • Hyun-ju Kim;Jinyoung Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.71-79
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    • 2024
  • ChatGPT, an interactive artificial intelligence (AI) chatbot developed by Open AI in the U.S., gaining popularity with great repercussions around the world. Some academia are concerned that ChatGPT can be used by students for plagiarism, but ChatGPT is also widely used in a positive direction, such as being used to write marketing phrases or website phrases. There is also an opinion that ChatGPT could be a new future for "search," and some analysts say that the focus should be on fostering rather than excessive regulation. This study analyzed consciousness about ChatGPT for college students through a survey of their perception of ChatGPT. And, plagiarism inspection systems were prepared to establish an education support model using ChatGPT and ChatGPT. Based on this, a university education support model using ChatGPT was constructed. The education model using ChatGPT established an education model based on text, digital, and art, and then composed of detailed strategies necessary for the era of the 4th industrial revolution below it. In addition, it was configured to guide students to use ChatGPT within the permitted range by using the ChatGPT detection function provided by the plagiarism inspection system, after the instructor of the class determined the allowable range of content generated by ChatGPT according to the learning goal. By linking and utilizing ChatGPT and the plagiarism inspection system in this way, it is expected to prevent situations in which ChatGPT's excellent ability is abused in education.

A Study on the Recognition of Teacher Librarians on the Introduction of ChatGPT in School Library (학교도서관에서의 ChatGPT 도입에 대한 사서교사 인식에 관한 연구)

  • Ji Soo Kim;Su Jung Kang;Sun Young Kwon
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.2
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    • pp.349-377
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    • 2023
  • With the recent advancements in artificial intelligence, the emergence of ChatGPT is expected to bring significant changes to various industries. In particular, there are active attempts to introduce ChatGPT in the education sector, and for librarians, utilizing ChatGPT is seen as an essential element for future learning tools. Against this background, this study aimed to examine librarians' perceptions of introducing ChatGPT in the school library through Focus Group Interviews (FGI). As a result, six themes were derived, including differences in perceptions of ChatGPT application in school libraries, teaching and learning activities utilizing ChatGPT, practical operation of ChatGPT, considerations for successful performance, librarians' required competencies and environment (infrastructure), and the development direction of ChatGPT utilization services in school libraries. Based on these findings, implications for the necessity of educational services utilizing ChatGPT were proposed. This study is significant as the first attempt to introduce ChatGPT in the school library field.

Evaluation of the applicability of ChatGPT in biological nursing science education (ChatGPT의 기초간호학교육 활용 가능성 평가)

  • Sunmi Kim;Jihun Kim;Myung Jin Choi;Seok Hee Jeong
    • Journal of Korean Biological Nursing Science
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    • v.25 no.3
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    • pp.183-204
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    • 2023
  • Purpose: The purpose of this study was to evaluate the applicability of ChatGPT in biological nursing science education. Methods: This study was conducted by entering questions about the field of biological nursing science into ChatGPT versions GPT-3.5 and GPT-4 and evaluating the answers. Three questions each related to microbiology and pharmacology were entered, and the generated content was analyzed to determine its applicability to the field of biological nursing science. The questions were of a level that could be presented to nursing students as written test questions. Results: The answers generated in English had 100.0% accuracy in both GPT-3.5 and GPT-4. For the sentences generated in Korean, the accuracy rate of GPT-3.5 was 62.7%, and that of GPT-4 was 100.0%. The total number of Korean sentences in GPT-3.5 was 51, while the total number of Korean sentences in GPT-4 was 68. Likewise, the total number of English sentences in GPT-3.5 was 70, while the total number of English sentences in GPT-4 was 75. This showed that even for the same Korean or English question, GPT-4 tended to be more detailed than GPT-3.5. Conclusion: This study confirmed the advantages of ChatGPT as a tool to improve understanding of various complex concepts in the field of biological nursing science. However, as the answers were based on data collected up to 2021, a guideline reflecting the most up-to-date information is needed. Further research is needed to develop a reliable and valid scale to evaluate ChatGPT's responses.

ChatGPT and Research Ethics (ChatGPT와 연구윤리)

  • Wha-Chul Son
    • Knowledge Management Research
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    • v.24 no.3
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    • pp.1-15
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    • 2023
  • This paper examines research ethics in using the generative AI ChatGPT for research purposes. After reviewing traditional themes of research ethics and relevant principles, it will be argued to be inappropriate to discuss ChatGPT-related issues only from the perspective of permission, detection, and punishment. We need to consider the fundamental problem that the current rules pose concerning the way ChatGPT works. This leads to the proposal that the usage of ChatGPT should be clearly noted when it is used for research purposes and that some unresolved issues should be recognized. Although the advantages of ChatGPT cannot be denied, consensus on the appropriate scope of use is needed from perspectives of the research community and researcher's social responsibility. As generative artificial intelligence technologies are still in the early stages of development, researchers should pay attention to relevant research ethical issues, while not making hasty conclusions. In the conclusion, it will be also proposed to discuss and make a consensus regarding the definition of research that is premised on existing research ethics, but challenged with the advent of ChatGPT and AI technology.

A Study on the impact of ChatGPT Quality and Satisfaction on Intention to Continuous Use (ChatGPT 품질과 활용만족이 지속적 이용의도에 미치는 영향)

  • Park Cheol Woo;Kang Gyung Lan
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.6
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    • pp.191-199
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    • 2023
  • The purpose of this study is to examine the impact of ChatGpt's quality on users' satisfaction and intention to continuous use it. For this purpose, a survey was conducted targeting college students in the Busan and Gyeongnam regions, and responses from a total of 155 people were verified using the SPSS 28.0 program. As a result of the study, reliability and stability among ChatGPT quality factors were found to have a positive effect on satisfaction with use and intention to continuous use. Satisfaction with the use of ChatGPT was found to have a positive effect on intention to continuous use.. Satisfaction with use was found to have a positive mediating effect between the reliability and stability of ChatGPT quality and intention to continous use it. As a result of this study, we aim to contribute to suggesting educational and policy directions necessary to promote the use of ChatGPT by presenting factors that affect users' intention to continuous use ChatGPT among the qualities of ChatGPT.

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A Study on the Problems and Limitations of Chat GPT (챗 GPT 의 문제점과 한계에 대한 고찰)

  • Bo-Gyung Park;Seong-Soo Han
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.588-589
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    • 2023
  • 챗 GPT 는 음성 혹은 문자로 사람과 대화할 수 있는 컴퓨터 프로그램인 챗봇(ChatBot) 중 하나이다. 최근 챗 GPT 의 사용자가 급격히 증가하면서 다양한 문제점과 한계가 발견되고 있다. 본 논문에서는 챗 GPT 를 활용 시 발생하는 문제와 한계에 대하여 살펴본다. 챗 GPT 의 문제점에는 챗 GPT 로 악성코드를 작성하는 사이버 범죄, 개인정보 침해 문제, 챗 GPT 로 과제 작성, 타인에게 챗 GPT 와 대화한 내용이 보이는 보안의 취약점이 발견되는 등이 있다. 챗 GPT 의 한계로는 실시간 학습 불가, 아는 것과 모르는 것의 구분 불가, 저작권 침해와 편향성과 같은 것이 있다. 본 논문이 챗 GPT 의 해결 가능한 문제를 신속하게 해결하고 남아있는 한계에 대한 잠재적인 해결책을 파악하는 데 도움이 되기를 기대한다.

Research cases and considerations in the field of hydrosystems using ChatGPT (ChatGPT를 활용한 수자원시스템분야 문제해결사례 소개 및 고찰)

  • Do Guen Yoo;Chan Wook Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.98-98
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    • 2023
  • ChatGPT(Chat과 Generative Pre-trained Transformer의 합성어)는 사용자와 주고받는 대화의 과정을 통해 질문에 답하도록 설계된 대형언어모델로, 지도학습과 강화학습을 모두 사용하여 세밀하게 조정된 인공지능 챗봇이다. ChatGPT는 주고받은 대화와 대화의 문맥을 기억할 수 있으며, 보고서나 실제로 작동하는 파이썬 코드를 비롯한 인간과 유사하게 상세하고 논리적인 글을 만들어 낼 수 있다고 알려져있다. 본 연구에서는 수자원시스템분야의 문제해결에 있어 ChatGPT의 적용가능성을 사례기반으로 확인하고, ChatGPT의 올바른 활용을 위해 필요한 사항에 대해 고찰하였다. 수자원시스템분야의 대표적인 연구주제인 상수관망시스템의 누수인지와 수리해석을 통한 문제해결에 ChatGPT를 활용하였다. 즉, 딥러닝 기반의 데이터분석을 활용한 누수인지와 오픈소스기반의 수리해석 모델을 활용한 관망시스템 적정 분석을 목표로 ChatGPT와 대화를 진행하고, ChatGPT에 의해 제안된 코드를 구동하여 결과를 분석하였다. ChatGPT가 제시한 코드의 구동결과를 사전에 연구자가 직접 구현한 코드구동 결과와 비교분석하였다. 분석결과 ChatGPT가 제시한 코드가 보다 더 간결할 수 있으며, 상대적으로 경쟁력 있는 결과를 도출하는 것을 확인하였다. 다만, 상대적으로 간결한 코드와 우수한 구동결과를 획득하기 위해서는 해당 도메인의 전문적 지식을 바탕으로 적절한 다수의 질문을 해야 하며, ChatGPT에 의해 작성된 코드의 의미를 명확히 해석하거나 비판적 분석을 하기 위해서는 전문가지식이 반드시 필요함을 알 수 있었다.

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Study on the Activity of GOT and GPT in the Hepatotoxic Rat Treated (구기자 투여 간손상 흰쥐에서 GOT 및 GPT의 활성화 연구)

  • 김병원;노광수
    • Biomedical Science Letters
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    • v.6 no.3
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    • pp.187-192
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    • 2000
  • The present study was undertaken in order to investigate betaine production by tissue culture and its medicinal effect in Lycium chinone Mill. In order to ulvestigate the protective effect of L. chinense on the hepatoxicity induced by $CCl_4$, 0.5 g/kg water extract of the compound mixture (leaves, roots and shoots) of L. chinense and its callus were fed to rat (SD line) once a day. As a result, the activity of GOT and GPT in the group fed compound mixture (GOT 760.4 and GPT 540 Karmen unit) and callus (G0T 772.1 and GPT 556.4 Karmen unit) was decreased in the blood serume relative to the controlled rat group (GOT 949 and GPT 640 Karmen unit) and the same result was obtained in the group fed with 0.1 g/kg sylimarin (the activity of GOT and GPT was shown 492.6 and 320.4 Karmen unit respectively. These results strongly indicate that water extracts of the mixture and callus from L. chinense do have the same decreasing effect of GOT and GPT in the hepatotoxic rat induced by $CCl_4$.

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Research on the Development of Reflective Writing Class Guidelines Using GPT (GPT를 활용한 성찰적 글쓰기 수업 가이드라인 개발 연구)

  • Jeong Gu Kang
    • Journal of Practical Engineering Education
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    • v.15 no.3
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    • pp.581-588
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    • 2023
  • In this paper, we modeled the methods and steps of reflective writing education that effectively utilizes GPT to enable actual classes. In this paper, we sought a teaching model that can be effectively utilized in self-reflective writing education in a reality where it is physically and practically difficult to prevent the use of an artificial intelligence writing machine called GPT. First, in the preparation stage, we made students understand the operating principles of GPT and educated the application team, while suggesting a teaching method using GPT to model and personalize writing ideas. Afterwards, an example of the task was given. Second, in the stage of using GPT, we showed how to model and internalize writing ideas using GPT according to the process of outlining, paragraphing, and reviewing reflective writing. Third, in the organizing stage, the instructor helped learners edit and make final edits to their writing and presented a process of organizing and reflecting.