• Title/Summary/Keyword: GPT level

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Analysis of Changes in Question Levels and Class Perception in Elementary Science Classes Using ChatGPT (ChatGPT 활용한 초등 과학 수업에서 질문 단계의 변화 및 수업에 대한 인식 분석)

  • Shin, Hwayoung;Paik, Seoung-Hey
    • Journal of Korean Elementary Science Education
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    • v.43 no.2
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    • pp.322-336
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    • 2024
  • This study explored the educational effects of using ChatGPT in science lessons for elementary school students. The participants included 25 sixth-grade students studying at an elementary school in Metropolitan City D. This study examined the impacts of elementary science lessons on the cognitive development of elementary school students and their perceptions of using ChatGPT in their science classes. We found that science lessons that used ChatGPT aided the cognitive development of the participating elementary students. These students responded positively to the classes using ChatGPT. The results were then divided into those who perceived ChatGPT positively, those who perceived it negatively, and those who recognized both positive and negative aspects. Students who perceived it negatively mainly remained at the memorization level, and those who recognized both positive and negative aspects posed higher-level questions to ChatGPT.

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.

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.

User Factors and Trust in ChatGPT: Investigating the Relationship between Demographic Variables, Experience with AI Systems, and Trust in ChatGPT (사용자 특성과 ChatGPT 신뢰의 관계 : 인구통계학적 변수와 AI 경험의 영향)

  • Park Yeeun;Jang Jeonghoon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.53-71
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    • 2023
  • This study explores the relationship between various user factors and the level of trust in ChatGPT, a sophisticated language model exhibiting human-like capabilities. Specifically, we considered demographic characteristics such as age, education, gender, and major, along with factors related to previous AI experience, including duration, frequency, proficiency, perception, and familiarity. Through a survey of 140 participants, comprising 71 females and 69 males, we collected and analyzed the data to see how these user factors have a relationship with trust in ChatGPT. Both descriptive and inferential statistical methods, encompassing multiple linear regression models, were employed in our analysis. Our findings reveal significant relationships between user factors such as gender, the perception of prior AI interactions, self-evaluated proficiency, and Trust in ChatGPT. This research not only enhances our understanding of trust in artificial intelligence but also offers valuable insights for AI developers and practitioners in the field.

Effect of Food Preferance on the Health Status of Adults in Iksan City (식품 기호가 성인의 건강상태에 미치는 영향 -익산시를 중심으로-)

  • Shin, Mee-Kung;Han, Sung-Hee
    • Journal of the East Asian Society of Dietary Life
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    • v.7 no.2
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    • pp.181-198
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    • 1997
  • The purpose of this study was to investigated relationship between heath status and food preference of male and fermale adults who live in Iksan City, Cheonbuk, Korea. The subjects consisted of 96 male and 93 fermale adults were aged 20 to 70 years old. Each subject was interviewed to get information of food preference. Blood samples were taken concentration of serum in hemoglobin, glucose, total cholesterol, GOT(glutamic oxaloacetic transaminase), GPT(glutamic pyruvic transaminase) were measured. The results obtained were as follows: Among the food preference were like, dislike and ordinary answered to male and fermale adults the normal average of serum concentration with hemoglobin level showed 15.4, 14.2, 15.5, 12.9, 15.8 and 13.2g/dl, glucose level showed 85.8, 86.1, 87.5, 88.1, 87.9 and 86.1mg/dl, total cholesterol level showed 183.1, 185.0, 172.4, 193.5, 181.2 and 184.0mg/dl, GOT level showed 4.8, 23.4, 24.8, 23.9, 24.9 and 21.7ppm, GPT level showed 22.7, 20.2, 26.3, 18.5, 22.5 and 18.4ppm respectively. The abnormal average of serum concentration with hemoglobin level showed 11.1, 10.8, 12.2, 11.3, 12.5 and 11.0g/dl, abnormal glucose level showed 155.7 168.5, 166.2, 134.1, 124.1, 130.1, abnormal total cholesterol level showed 260.3, 273.7, 255.2, 286.5, 255.9 and 251.8mg/dl, abnormal GOT level showed 58.8, 66.8, 51.8, 50.3, 51.2 and 51.0ppm abnormal GPT level showed 54.3, 48.6, 51.3, 50.2, 53.2 and 45.5ppm respectively.

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Studies on the serochemical status in dairy Holstein cows of reproductive disorder (불임유우의 혈청화학치에 관한 연구)

  • 이관복;신창호;김선희;임종목;최원식;박현기
    • Korean Journal of Veterinary Service
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    • v.20 no.2
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    • pp.177-182
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    • 1997
  • To make index on therapy or releasing from dairy holstein cows of reproductive disorder, the levels of serological sex hormones and total ALP, GOT, GPT, and serum protein were measured. The results obtained through the experiments are summarized as follows ; 1. The levels of FSH and estradiol in reproductive disorder group were significantly higher and lower than those in pregnant group and control group, respectively. (p<0.05) 2. The level of prolactin was showed mild difference in three groups and that of progesterone was reasonably higher in pregnant group with significance (p<0.05). 3. The activity of GPT was significantly higher and that of GOT was showed higher In reproductive disorder group, respectively ( p<0.05) 4. The level of total ALP was higher in reproductive disorder group, however no difference was showed between pregnant and control group. 5. The level of serum protein was followed as control, pregnant, and reproductive disorder with insignificance.

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Effect of Ganoderma lucidum Extract on Experimentally Induced Hepatic Damage and Hyperlipemic Rats. (영지(靈芝)엑기스가 백서(白鼠)의 실험적(實驗的) 간장중독(肝臟中毒) 및 고지혈증(高脂血症)에 미치는 영향(影響))

  • Lee, Moon-Joo;Chung, Myung-Hyun
    • Korean Journal of Pharmacognosy
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    • v.18 no.4
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    • pp.254-264
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    • 1987
  • This study was attempted to investigate the effect of Ganoderma lucidum (Young-Jii) extract on the activities of GPT GOT Al. P LDH and the level of total bilirubin and total cholesterol in serum of $CCl_4$-intoxicated rats, and on the level of total lipids triglyceride phospholipids and total cholesterol in the serum of experimentally induced hyperlipemic rats, and on the effect of body and liver weight in rats. The results were shown as follows; In $CCl_4$-intoxicated rats, the extract showed a significant decrease in the activities of GPT and Al.P, a slight decrease in the activity of GOT and LDH; The level of total bilirubin was slightly affected, but significantly decreased at a dose as high as 500 mg/kg; the level of total cholesterol was increased dose dependently. In hyperlipemic rats, the extract caused a significant decrease in the level of total lipids and triglyceride and the rate of decrease was more pronounced with repeated treatments for 10 days; the level of phospholipids and total cholesterol were slightly decreased with repeated treatment of the extract at a dose of 300 mg/kg for 10 days; A significant body weight gain was shown with the treatment of the extract.

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A Study on the Semantic Network Analysis for Exploring the Generative AI ChatGPT Paradigm in Tourism Section (관광분야 생성형 AI ChatGPT 패러다임 탐색을 위한 의미연결망 연구)

  • Han Jangheon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.87-96
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    • 2023
  • ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.

University Faculty's Perspectives on Implementing ChatGPT in their Teaching

  • Pyong Ho Kim;Ji Won Yoon;Hye Yoon Kim
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.56-61
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    • 2023
  • The present study explored a comprehensive investigation of university professors' perspectives on the implementation of ChatGPT - an artificial intelligence-powered language model - in their teaching practices. A diverse group of 30 university professors responded to a questionnaire about the level of their interest in implementing the tool, willingness to apply it, and concerns they have regarding the intervention of ChatGPT in higher education setting. The results showed that the participants are highly interested in employing the tool into their teaching practice, and find that the students are likely to benefit from using ChatGPT in classroom settings. On the other hand, they displayed concerns regarding high depandency on data, privacy-related issues, lack of supports required, and technical contraints. In today's fast-paced society, educators are urged to mindfully apply this inevitable generative AI means with thoughtfulness and ethical considerations to and for their learners. Relevant topics are discussed to successfully intervene AI tools in teaching practices in higher education.

Design to Improve Educational Competency Using ChatGPT

  • Choong Hyong LEE
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.182-190
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    • 2024
  • 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 self-reliant courses.