• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.399-400
• /
• 2023

본 프로젝트는 ChatGPT와 카카오톡 채널 챗봇을 사용하여 초등학생 대상의 학교폭력 예방교육을 위한 대화형 챗봇을 개발한다. 이를 위해, 한림대학교 간호대학에서 제공받은 학교폭력 예방교육 자료를 기반으로 ChatGPT를 사용하여 데이터를 증강하였고, AWS RDS의 데이터베이스에 사용자의 예상 발화와 그에 대한 답변을 저장하였다. 그리고 AWS Lambda에 REST API를 구현하고, AWS API Gateway를 통해 카카오톡 채널 챗봇과 연결하였다. 사용자가 발화를 입력하면 발화를 포함한 요청이 AWS Lambda로 전달되고, ChatGPT를 사용해 답변을 생성하며 데이터베이스에 저장된 데이터와 코사인 유사도를 비교한다. 이때 기준치보다 유사도가 높다면 저장되어 있던 데이터를 반환하고, 낮다면 생성된 답변을 반환한다. 이후 반환된 답변을 카카오톡 채널 챗봇으로 전달해 사용자에게 출력한다.

• Communications of Mathematical Education
• /
• v.38 no.1
• /
• pp.49-67
• /
• 2024

Recent interest in the diverse applications of artificial intelligence (AI) language models has highlighted the need to explore didactical uses in mathematics education. AI language models, capable of natural language processing, show promise in solving mathematical word problems. This study tested the capability of ChatGPT, an AI language model, to solve word problems from elementary school textbooks, and analyzed both the solutions and errors made. The results showed that the AI language model achieved an accuracy rate of 81.08%, with errors in problem comprehension, equation formulation, and calculation. Based on this analysis of solution processes and error types, the study suggests implications for the didactical application of AI language models in education.

• Journal of the Health Care and Life Science
• /
• v.11 no.1
• /
• pp.11-23
• /
• 2023

In this study, a practice model that can improve healthcare information management ability using Chat GPT and SQL was studied. For SQL utilization, learners were asked to use Chat GPT to easily access the database and write SQL for data extraction. For the contents analyzed in the claims database, the sum of insurance claim amount, insurance claim amount by treatment item, claim details corresponding to a specific amount, other diagnosis names of specific prescription patients, examination details of specific diagnosis names, and total amount by item were calculated. As a result of executing SQL statements written for each subject in Chat GPT, it was confirmed that the analysis contents were the same. It is believed that the use of ChatGPT as progressed in this study will contribute to improving the ability of healthcare data management to increase accuracy and efficiency in database management and analysis work, rather than simply simplifying or automating tasks.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.2
• /
• pp.565-574
• /
• 2024

ChatGPT is causing significant reverberations across all sectors of our society, and this holds true for the field of education as well. However, scholarly and societal discussions regarding ChatGPT in academic settings have primarily focused on issues such as plagiarism, with relatively limited research on the positive effects of utilizing generative AI. Additionally, amidst the educational crisis of the post-COVID era, there is a growing recognition of the need to enhance academic engagement. In light of these concerns, we investigated how academic engagement varies based on students' levels of ChatGPT literacy and examined whether students' academic confidence and perceived academic competence serve as mediators between ChatGPT literacy and academic engagement. An analysis using SPSS was conducted on the data collected from 406 college students. The results showed that ChatGPT literacy had a positive effect on academic engagement, and academic confidence mediated the relationship between ChatGPT literacy and academic engagement. Also, when the mediating effect of perceived academic competence was significant only when it was serially mediated. Based on these findings, we discussed the theoretical contributions of identifying the theoretical mechanism between ChatGPT literacy and academic engagement. In addition, practical implications regarding the importance of ChatGPT literacy education were described.

• Journal of Internet Computing and Services
• /
• v.25 no.2
• /
• pp.79-92
• /
• 2024

ChatGPT, as a representative chatbot leveraging generative artificial intelligence technology, is used valuable not only in scientific and technological domains but also across diverse sectors such as society, economy, industry, and culture. This study conducts an explorative analysis of user sentiments and needs for ChatGPT by examining global social media discourse on Reddit. We collected 10,796 comments on Reddit from December 2022 to August 2023 and then employed keyword analysis, sentiment analysis, and need-mining-based topic modeling to derive insights. The analysis reveals several key findings. The most frequently mentioned term in ChatGPT-related comments is "time," indicative of users' emphasis on prompt responses, time efficiency, and enhanced productivity. Users express sentiments of trust and anticipation in ChatGPT, yet simultaneously articulate concerns and frustrations regarding its societal impact, including fears and anger. In addition, the topic modeling analysis identifies 14 topics, shedding light on potential user needs. Notably, users exhibit a keen interest in the educational applications of ChatGPT and its societal implications. Moreover, our investigation uncovers various user-driven topics related to ChatGPT, encompassing language models, jobs, information retrieval, healthcare applications, services, gaming, regulations, energy, and ethical concerns. In conclusion, this analysis provides insights into user perspectives, emphasizing the significance of understanding and addressing user needs. The identified application directions offer valuable guidance for enhancing existing products and services or planning the development of new service platforms.

• Journal of Medicine and Life Science
• /
• v.20 no.2
• /
• pp.53-59
• /
• 2023

This study explores the potential use of artificial intelligence (AI)-based services, specifically ChatGPT-3.5, in medical education. The application of this technology is acknowledged as a valuable tool for simulating authentic clinical scenarios and enhancing learners' diagnostic and communication skills. To construct a case, students received ChatGPT training using a clinical ethics casebook titled "Clinical Ethics Cases and Commentaries for Medical Students and Physicians." Subsequently, a role-play script was generated based on this training. The initial draft of the script was reviewed by two medical professors and was further optimized using ChatGPT-3.5. Consequently, a comprehensive role-play script, accurately reflecting real-world clinical situations, was successfully developed. This study demonstrates the potential for effectively integrating AI technology into medical education and provides a solution to overcome limitations in developing role-play scripts within conventional educational settings. However, the study acknowledges that AI cannot always generate flawless role-play scripts and recognizes the necessity of addressing these limitations and ethical concerns. The research explores both the potential and limitations of employing AI in the early stages of medical education, suggesting that future studies should focus on overcoming these limitations while further investigating the potential applications of AI in this field.

• The Mathematical Education
• /
• v.63 no.3
• /
• pp.549-571
• /
• 2024

As digital·AI-based teaching and learning is emphasized, discussions on the educational use of generative AI are becoming more active. This study analyzed the mathematical performance of ChatGPT 4, Claude 3 Opus, and Gemini Advanced on solving examples and problems from five first-year high school math textbooks. As a result of examining the overall correct answer rate and characteristics of each skill for a total of 1,317 questions, ChatGPT 4 had the highest overall correct answer rate of 0.85, followed by Claude 3 Opus at 0.67, and Gemini Advanced at 0.42. By skills, all three models showed high correct answer rates in 'Find functions' and 'Prove', while relatively low correct answer rates in 'Explain' and 'Draw graphs'. In particular, in 'Count', ChatGPT 4 and Claude 3 Opus had a correct answer rate of 1.00, while Gemini Advanced was low at 0.56. Additionally, all models had difficulty in explaining using Venn diagrams and creating images. Based on the research results, teachers should identify the strengths and limitations of each AI model and use them appropriately in class. This study is significant in that it suggested the possibility of use in actual classes by analyzing the mathematical performance of generative AI. It also provided important implications for redefining the role of teachers in mathematics education in the era of artificial intelligence. Further research is needed to develop a cooperative educational model between generative AI and teachers and to study individualized learning plans using AI.

• Journal of Practical Engineering Education
• /
• v.16 no.5_spc
• /
• pp.643-651
• /
• 2024

This study aims to design and implement an AI mock interview system for Computer Science (CS) interview preparation using LLM (Large Language Model) based ChatGPT. The system utilizes AI's natural language processing and speech recognition capabilities to analyze and provide real-time feedback on interview responses, helping users improve their weaknesses during the preparation process. According to a survey, 90% of users reported that the real-time feedback function provided substantial assistance in their interview preparation. Key features include GPT prompt generation and Speech-to-Text functionality, which converts voice data into text. The system received positive evaluations for its response time and feedback accuracy. Future research will explore expanding the range of question types and applying the system to various industries.

• The Mathematical Education
• /
• v.63 no.3
• /
• pp.467-484
• /
• 2024

The rapid advancement of generative AI has ushered in an era where anyone can create and freely utilize personalized chatbots without the need for programming expertise. This study aimed to develop a customized chatbot based on OpenAI's GPTs for the purpose of pre-service teacher education and to analyze its educational performance in mathematics as assessed by educators guiding pre-service teachers. Responses to identical questions from a general-purpose chatbot (ChatGPT), a customized GPTs-based chatbot, and an elementary mathematics education expert were compared. The expert's responses received an average score of 4.52, while the customized GPTs-based chatbot received an average score of 3.73, indicating that the latter's performance did not reach the expert level. However, the customized GPTs-based chatbot's score, which was close to "adequate" on a 5-point scale, suggests its potential educational utility. On the other hand, the general-purpose chatbot, ChatGPT, received a lower average score of 2.86, with feedback indicating that its responses were not systematic and remained at a general level, making it less suitable for use in mathematics education. Despite the proven educational effectiveness of conventional customized chatbots, the time and cost associated with their development have been significant barriers. However, with the advent of GPTs services, anyone can now easily create chatbots tailored to both educators and learners, with responses that achieve a certain level of mathematics educational validity, thereby offering effective utilization across various aspects of mathematics education.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.6
• /
• pp.191-197
• /
• 2023

The farming diary has significant value for farmers as it serves as crucial documentation, supporting evidence for eco-friendly and GAP (Good Agricultural Practices) certifications, as well as when applying for diverse subsidies. A detailed farming diary holds immense value, yet many farmers face challenges in document preparation, so even though training is provided on how to write a farming diary, making these remains impracticable for some. Therefore, this paper suggests using ChatGPT as a solution, enabling the effortless addition of comprehensive information to existing farming diary. With this method, it is expected that enhancing the thoroughness of the farming diary will significantly amplify its worth as robust certification evidence, thereby providing substantial support for future farming endeavors.