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결과 내 검색 동의어 포함

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초록보기

본 연구에서는 인공지능 에이전트인 ChatGPT와 Stable Diffusion을 활용하여 교사가 입력한 수업 주제어에 따라 교수·학습용 그림 자료를 추천하는 프로그램을 구현하여 교육적 활용에 대한 가능성을 탐색하였다. 구현한 프로그램은 키워드당 30가지 내외의 그림 자료를 추천하였으며 부적절한 그림이 생성되는 경우에는 필터링 되었다. 전체 그림자료 추천에 소요된 시간은 평균 6분 내외이다. 대체로 키워드와 관련된 그림을 추천해 주었으며 추천한 그림 속의 글자는 글자를 나타내려는 의도만 알 수 있고 글자를 인식하고 뜻을 알 수는 없었다. 그러나, 추천되는 그림의 종류나 내용이 ChatGPT의 응답에전적으로 의존하고 있다는 점과 모든 키워드에 대한 그림을 정확하게 추천할 수 있는지 알 수 없는점은 추가적인 연구가 필요해 보인다. 또한, 추천된 그림이 키워드와 관련된 것은 사실이나 교육적인가치를 가지고 있는가에 대한 평가는 인간 교사의 판단에 맡겨야 할 논의의 대상이라고 결론지었다.

In this paper, artificial intelligence agents ChatGPT and Stable Diffusion were used to explore the possibility of educational use by implementing a program to recommend picture materials for teaching and learning according to the class topic entered by teachers. The average time spent recommending all picture materials is about 6 minutes. In general, pictures related to keywords were recommended, and the letters in the recommended pictures could only know the intention to represent the letters, and the letters could not be recognized and the meaning could not be known. However, further research seems to be needed on the fact that the type or content of the recommended picture depends entirely on the response of ChatGPT and that it is not possible to accurately recommend the picture for all keywords. In addition, it was concluded that it is true that the recommended picture is related to the keyword, but the evaluation of whether it has educational value is the subject of discussion that should be left to the judgment of human teachers.

권호기사

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
Analyzing performance of time series classification using STFT andtime series imaging algorithms Sung-Kyu Hong, Sang-Chul Kim p. 1-11

Analysis of detected anomalies in VOC reduction facilities using deep learning Min-Ji Son, Myung Ho Kim p. 13-20

Improving the classification of population and housing census with AI : an industry and job code study Byung-Il Yun, Dahye Kim, Young-Jin Kim, Medard Edmund Mswahili, Young-Seob Jeong p. 21-29

Knowledge distillation based-on internal/external correlation learning Hun-Beom Bak, Seung-Hwan Bae p. 31-39

Multi-time window feature extraction technique for anger detection in gait data Beom Kwon, Taegeun Oh p. 41-51

Automatic classification of department types and analysis of co-authorship network : focusing on Korean journals in the computer field Byungkyu Kim, Beom-Jong You, Min-Woo Park p. 53-63

Vector and thickness based learning augmentation method for efficiently collecting concrete crack images Jong-Hyun Kim p. 65-73

(A) study on the risk and countermeasures of hacking cable Hea-Jun Kim, Young-Bok Cho p. 75-81

(An) analysis of the ripple effect of congestion in a specific section using the robustness sensitivity of the traffic network Chi-Geun Han, Sung-Geun Lee p. 83-91

(A) study on the improvement of naval combat management system for the defense of drone Ki-Chang Kwon, Ki-Pyo Kim, Ki-Tae Kwon p. 93-104

Development of agricultural products screening system through X-ray density analysis Eunhyeok Baek, Young-Tae Kwak p. 105-112

Design of smart farm growth information management model based on autonomous sensors Yoon-Su Jeong p. 113-120

Analysis for circumstance of maritime transport in the Chinese Northeastern Three Provinces towards sustainable New Northern Policy Junghwan Choi, Sangseop Lim p. 121-131

Liaohe National Park based on big data visualization visitor perception study Qi-Wei Jing, Zi-Yang Liu, Cheng-Kang Zheng p. 133-142

(A) study on the relationships among user characteristics, perceived value, and user satisfaction of mobile payment system Jong-soo Yoon p. 143-150

Understanding MZ generation's perceptions and preferences for eco-friendly consumption and upcycled souvenirs Cheon Yu, Su-Joung Cha p. 151-163

(The) impact and implications of AI on legal professionals Jong-Ryeol Park, Sang-Ouk Noe p. 165-174

Exploring the operating and supporting direction of AI curriculum by analyzing A high school case study Sungryong Ju, Seulgi Song, Seung-Bo Park p. 175-186

Design of artificial intelligence course for humanities and social sciences majors KyungHee Lee p. 187-195

Comparative analysis of lecture evaluation using decision tree : ways to improve university classes after COVID-19 Bok-Ju Jung, Sang-Chul Lee p. 197-208

Exploring the possibility of using ChatGPT and stable diffusion as a tool to recommend picture materials for teaching and learning Soo-Hwan Lee, Ki-Sang Song p. 209-216

참고문헌 (10건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 ChatGPT, https://openai.com/blog/chatgpt/ 미소장
2 HmJung, JhJung, “Design and Issues of Writing Literatures Using ChatGPT”, Journal of Knowledge Information Technology and Systems(JKITS), Vol. 18, No. 1, pp. 31~40, Feb 2023. DOI:10.34163/jkits.2023.18.1.004 미소장
3 DkShin, HkJung & YsLee, “Exploring the potential of using ChatGPT as a content-based English learning and teaching tool.”Journal of the Korea English Education Society, 22(1), 171-192. Feb 2023. DOI: 10.18649/jkees.2023.22.1.171 미소장
4 Stable Diffusion, https://stablediffusionweb.com/ 미소장
5 Mjchun, “A study on narrative and creative education methods using AI literary works,” Master's thesis. Chung-Ang University. Aug 2021 미소장
6 Dhcho, Esjun, Mgmoon, “Scenario Generation Assistance System Using GPT-3 ,” Journal of the Korea society of computer and information. Vol. 30. No. 2. pp. 503-504. Jul 2022. 미소장
7 Qadir, Junaid. “Engineering Education in the Era of ChatGPT:Promise and Pitfalls of Generative Al for Education.” TechRxiv. Preprint. Dec 2022. DOI: 10.36227/techrxiv.21789434.v1 미소장
8 OpenAI, https://platform.openai.com/docs/model-index-for-researc hers 미소장
9 NLTK, https://www.nltk.org/ 미소장
10 P. Liu, W. Yuan, J. Fu, Z. Jiang, H. Hayashi, and G. Neubig,“Pretrain, prompt, and predict: A systematic survey of prompting methodsin natural language processing.” ACM Computing Surveys, vol. 55, no. 9,pp. 1–35, Jan 2023. DOI: 10.1145/3560815 미소장

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권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
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