• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.373-384
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• 2019

This study aims to look closely picture books regarding bullying and to analyze people directly involved in resolution to bullying problems and conflict-coping method in those picture books. 71 picture books on bullying were examined in this study. Results are as follows: (1) As person directly involved in resolution to bullying problems, 'victim by himself' settles a conflict situation over half of the books, followed by 'victim and other character' and 'other character alone'. (2) various types are described relatively evenly such as 'getting positive mind or building confidence', 'distancing bullies group or making new friends', 'gaining recognition by showing one's competence off', 'helping bullies or being nice to bullies' for conflict-coping method to bullying problems. In conclusion, the necessity of community effort rather than an individual's own effort to solve bullying problems and possibilities of teaching of language use in those books were discussed.

• The Journal of Korean Association of Computer Education
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• v.21 no.6
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• pp.105-115
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• 2018

The descriptive-type question is appropriate for deep thinking ability evaluation, but it is not easy to grade. Since, even though same grading criterion, the graders produce different scores, we need the objective evaluation system. However, the system needs the Korean analysis. As the descriptive-type answering is described with the compound sentence, the system has to analyze the compound sentence. This paper develops the Korean syntactic-semantic analysis system for compound sentence and evaluates performance of the system. This system selects the modifiee of the word phrase using syntactic-semantic constraint and semantic dictionary. The 93% accurate rate shows that the system is effective. This system will be utilized in descriptive-type grading and Korean processing.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.375-384
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• 2019

In a rapidly changing society with the Fourth Industrial Revolution, future students should have the skills to utilize and organize high-quality knowledge, not the amount of knowledge. With the launch of the revised curriculum in 2015, the curriculum has been reorganized based on competency and the software education has been seeking capabilities such as 'Cultural computing knowledge', 'Computational thinking', and 'Collaborative problem solving skills'. Therefore, practical collaboration tools and education programs that can be used in the field of education are developed based on Pair Programming, which is a specific collaborative learning strategy to develop cooperative problem solving skill. The educational program using this collaboration tool was developed with a focus on developing computational thinking and collaborative problem solving skills through Pair Programming rather than focusing on learning grammar of programming language and programming techniques. In a educational program, students will be able to use collaborative tools for pair programming and foster collaborative problem-solving skills.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.11-21
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• 2021

The aim of this study is to examine the effectiveness of learning by running an extracurricular program to make effective learning of unfamiliar and difficult programming education possible for students in the humanities. Analysis of learning-related data for one semester of lectures that were collected from 70 humanities students in departments A and B, data collected from a creative convergence app development contest extracurricular program, and data obtained through a questionnaire show that extracurricular program activities affect academic performance. The results of the core competency diagnosis test for students that was conducted before and after participating in the curriculum showed that core competencies improved for both A and B departments after participating in the curriculum. This study shows that extracurricular program activities can help individuals improve their abilities, while also providing customized guidance to reclusive students to improve their academic performance. By carrying out customized coaching for each department to develop apps related to the major field rather than general apps, we hope for improvements in ability to solve problems by converging with the major field, computational thinking, and creative thinking, in the future.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.487-495
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• 2021

The purpose of this study is to make it easier, more fun and more convenient to learn a foreign language through the development of an efficient audio contents platform that utilizes each person's native language ability. In order to achieve the goal to produce audio contents centering on the native language used in real life. Contents that are created without much effort in daily life could be used as precious contents for foreign language learners to learn the natural use of the language. Currently, most of the online foreign language learning platforms have problems with the contents depletion and the low practicality of contents. Accordingly, I am expecting this platform improves the existing shortcomings, giving foreign language learners the opportunity to learn a foreign language more realistically and at the same time giving native speakers an opportunity to generate additional revenue by utilizing their spare time.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.158-165
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• 2022

Journal of Convergence for Information Technology. This study explores how native speakers (NSs) and non-native speakers (NNSs) of English negotiate meanings during conversational interactions to achieve successful communication. This study involved 40 participants: 20 native English speakers and 20 Korean university students. The participants were divided into 20 pairs, with each pair consisting of one NS and one NNS. Tasks for conversation were given and the execution recorded in order to collect data. 37 recorded conversations were transcribed and used for analysis, including statistical analyses. Results showed that both NSs and NNSs mutually put in effort for successful communication. While NSs mostly played the role of leading the natural flow of the conversation, encouraging their non-native interlocutors to speak, NNSs used various strategies to compensate for their lack of linguistic competence in the target language. NNSs employed a wide range of communicative strategies to keep the conversation going. The results of this study contribute to a better understanding of interactions between NSs and NNSs and yield pedagogical implications.

• Journal of the Korea Computer Graphics Society
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• v.27 no.5
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• pp.81-89
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• 2021

This study proposes a text interface for support of language-based educational contents in a mobile platform environment. The proposed interface utilizes deep learning as an input structure to write words through handwriting. Based on GUI (Graphical User Interface) using buttons and menus of mobile platform contents and input methods such as screen touch, click, and drag, we design a text interface that can directly input and process handwriting from the user. It uses the EMNIST (Extended Modified National Institute of Standards and Technology database) dataset and a trained CNN (Convolutional Neural Network) to classify and combine alphabetic texts to complete words. Finally, we conduct experiments to analyze the learning support effect of the interface proposed by directly producing English word education contents and to compare satisfaction. We compared the ability to learn English words presented by users who have experienced the existing keypad-type interface and the proposed handwriting-based text interface in the same educational environment, and we analyzed the overall satisfaction in the process of writing words by manipulating the interface.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.213-219
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• 2020

The purpose of this study was to investigate the characteristics of error types in naming task for 8 questionable demeatia groups, 9 definite dementia groups, and 10 normal groups. The items of naming error analysis were classified into visual perception errors, semantic association errors, semantic non-correlation errors, phoneme errors, Don't Know, and No Response. For the analysis, descriptive statistics analysis, analysis of variance, and multivariate analysis of variance were conducted using SPSS 21.0. As a result, there was a significant difference in the error rate between groups according to the error type. The errors that showed significant differences between the normal group and the other two groups were visual perception errors and semantic non-related errors. The error of non-response was different from the dementia confirmation group, but there was no significant difference from the dementia suspicion group. These results showed that Alzheimer's patients had a defect in confrontation naming ability. Also, it was found that it is appropriate to provid other clues when the defects caused by the degeneration of a specific step during the information processing process become severe.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.12-12
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• 2023

지하수자원 관리의 정량적 및 정성적 측면에 있어, 최첨단 인공지능 언어 모델인 ChatGPT의 혁신적인 기능이 활용될 수 있다. 본 발표에서는 지하수 자료에 대한 분석과 도출된 문제의 중요도에 따른 목표를 설정, 그리고 지하수 관리 전략 개발에 있어서의 ChatGPT 활용 방법을 논의할 것이다. 이를 위한 구체적 사례로, 지하수자원 관리에 활용될 수 있는 다양한 도구들의 개발과 고도화에 ChatGPT가 기여하는 방식을 살펴볼 것이다. 이러한 개별 도구들은 지하수자원 관리 결정에 있어 더 나은 예측 및 평가를 제공하여, 지하수 자원 관리의 효율성을 도모할 수 있다. 또한, ChatGPT의 문제 발견 및 해결책 제안 능력에 대해서도 다룰 것이다. 이를 통해 지하수 관리에 있어서의 다양한 문제를 식별하고, 이해당사자들이 보다 효과적으로 대응할 수 있는 방안을 찾아낼 수 있을 것이다. 또한 ChatGPT가 제공하는 다양한 정보 및 문제에 대한 솔루션 접근 방식을 활용한 브레인스토밍 방법을 설명할 것이다. 추가적으로, 일반 인공지능(AGI)의 개발에 근접하면서 지하수 관리의 자동화 및 가속화 그리고 산업 및 환경에 미칠 수 있는 영향에 대해 고찰해 볼 것이다. 이를 위하여, ChatGPT와 같은 인공지능 기술이 더욱 고도화되고 향상되면서, 지하수 관리 및 관련 분야에서의 의사결정, 계획 수립, 그리고 모니터링과 같은 작업들이 어떻게 변화할지에 대하여 토의할 것이다. 본 발표는 지하수 자원 관리 분야에서 ChatGPT와 같은 인공지능 기반 접근법의 가치를 보여주며, 복잡한 지하수 환경 문제를 해결하는 데 있어 첨단 기술의 활용 가능성을 강조할 것이다. 또한, AGI가 등장할 때까지 여전히 요구되는 지하수 분야 도메인 지식과 전문기술의 중요성을 강조할 것이다. 지하수 관리자들의 도메인 지식과 전문적 기술은 인공지능 기반 도구와 결합되어 보다 정확한 분석, 예측 및 해결책 도출을 가속화하며 정교화할 것이다. 결론적으로, 지하수 관리에 대한 종합적인 이해와 전문성을 갖춘 전문가들의 인공지능 기술활용은 지속가능한 지하수의 첨단 관리 효과적 달성에 중요한 계기가 될 것으로 판단한다.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.35-43
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• 2023

Along with the increase in Multi-unit housing defect disputes, the importance of defect management is also increased. However, previous studies have mostly focused on the Multi-unit housing's 'common part'. In addition, there is a lack of research on the system for the 'management office', which is a part of the subject of defect management. These resulted in the lack of defect management capability of the management office and the deterioration of management quality. Therefore, this paper proposes a machine learning-based defect data management system for management offices. The goal is to solve the inconvenience of management by using Optical Character Recognition (OCR) and Natural Language Processing (NLP) modules. This system converts handwritten defect information into online text via OCR. By using the language model, the defect information is regenerated along with the form specified by the user. Eventually, the generated text is stored in a database and statistical analysis is performed. Through this chain of system, management office is expected to improve its defect management capabilities and support decision-making.