• Knowledge Management Research
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• v.25 no.2
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• pp.19-47
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• 2024

Organizational ability to analyze and utilize data plays an important role in knowledge management and decision-making. This study aims to investigate the potential application of large language models in corporate data analysis. Focusing on the field of human resources, the research examines the data analysis capabilities of these models. Using the widely studied IBM HR dataset, the study reproduces machine learning-based employee turnover prediction analyses from previous research through ChatGPT and compares its predictive performance. Unlike past research methods that required advanced programming skills, ChatGPT-based machine learning data analysis, conducted through the analyst's natural language requests, offers the advantages of being much easier and faster. Moreover, its prediction accuracy was found to be competitive compared to previous studies. This suggests that large language models could serve as effective and practical alternatives in the field of corporate data analysis, which has traditionally demanded advanced programming capabilities. Furthermore, this approach is expected to contribute to the popularization of data analysis and the spread of data-driven decision-making (DDDM). The prompts used during the data analysis process and the program code generated by ChatGPT are also included in the appendix for verification, providing a foundation for future data analysis research using large language models.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.135-145
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• 2023

ChatGPT is an artificial intelligence-based conversation agent developed by OpenAI using natural language processing technology. In this study, an empirical study was conducted on incumbent teachers on the intention to use the newly emerged Chat GPT. First, we studied how accuracy, entertainment, system accessibility, perceived usefulness, and perceived ease of use affect ChatGPT's acceptance intention. In addition, we analyzed whether perceived usefulness and perceived ease of use differ in the intention to accept depending on the digital technology of teachers. As a result of the study, the suitability of the structural equation model was generally good. Accuracy and entertainment were found to have a significant effect on perceived usefulness, and system accessibility was found to have a significant effect on perceived ease of use. In the analysis of teachers' digital technology control effects, it was found that perceived usefulness and perceived ease of use had a control effect between acceptance intentions. It was found that the group with high digital skills of teachers was strongly intended to accept the service regardless of perceived usefulness and ease of use. In the group with low digital skills of teachers, it is thought that ChatGPT's service shows the acceptance intention only when the perceived usefulness and ease of use are high. Therefore, in the group with low digital technology, it is necessary to seek teaching activities such as the development of instructional models using ChatGPT.

• Journal of The Korean Association of Information Education
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• v.7 no.1
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• pp.37-47
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• 2003

A grading system of practical word processor skills is designed and implemented by using HWPML(Hangul Word Processor Markup Language) which is a product of Hangul and Computer Co Ltd. By using HWPML, which is a markup tag structure of Hangul file, Hangul files can be edited in other application programs. Authorized users can make questions. However, only the manager is allowed to register answers to the questions in order to maintain the correctness of grading. The result of test is stored in the database and the statistics on pass or failure can be shown interactively. The number of taking test and scores for each user are stored in the database and they can be accessed to whenever the user wants them. Comments on the test results are provided by the manager so that learners can intensity their weak points.

• Journal of Korean Public Health Nursing
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• v.36 no.3
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• pp.375-388
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• 2022

Purpose: The purpose of this study was to identify the factors influencing depression among married Vietnamese immigrant women living in Korea. Methods: This study was a retrospective review of the dataset from the Korean 2018 National Multicultural Family Survey. The data were analyzed using the Rao-Scott x² test and multiple logistic regression using complex samples analysis. Results: The proportion of married Vietnamese immigrant women subjects in Korea who experienced depression was 27.7%. The factors affecting depression were age, length of stay in Korea, living area, economic status, difficulties in using medical care, difficulties faced during their stay in Korea and Korean language skills relationship with spouse and parents-in-law marital conflicts, cultural differences, their experience of social discrimination, life satisfaction, and meeting with friends from their homeland. Conclusion: The findings in this study indicate that the prevention of depression in married immigrant women in Korea could be aided by acculturation programs that deal with the relationships with their spouses and social supports.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.403-416
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• 2019

The focus of this study is on the new instructional and pedagogical application of teaching English as a foreign language (TEFL) with technology and by gender. Participants comprised 204 TEFL students in Korea. The study was conducted in the 2017 academic year. For this study, all participants attended English class using technology for three hours a week. Course syllabus, lecture notes, and other study materials were uploaded to the school website. Homework assignments, quizzes, and exams were also distributed through the website. To ascertain whether there are any differential effects from gender on learning English as a foreign language using technology, the quantitative materials included pre- and post-tests. This study also adopted qualitative methods, with structured interviews to obtain participants' comprehensive view of technology-assisted English lessons. Paired sample t-tests and independent t-tests were administered to analyze the quantitative data. The qualitative data were analyzed with the content analysis method. Findings show that both male and female students improved their English-speaking skills using technology. However, no gender difference was found in technology-assisted TEFL. Technology use for learning English also resulted in both genders' positive perceptions of language lessons. Based on these findings, this study yields practical implications for TEFL teachers in Korea.

• Asian Journal for Public Opinion Research
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• v.5 no.4
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• pp.319-345
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• 2018

Effective higher educational management in undergraduate nursing programs is an important issue from the viewpoint of stakeholders. This qualitative research aimed to examine the characteristics of nursing students and curriculum development of undergraduate nursing education from the opinions of Boromarajonani College of Nursing Saraburi, Thailand stakeholders. The population included 4 groups: 1) the alumni who have graduated within the past 5 years and currently work in primary, secondary, and tertiary care units, 2) the supervisors and colleagues of the alumni, 3) nursing lecturers, and 4) the current nursing students. The respondents who are the alumni, nursing lecturers, and current nursing student were selected using a purposive sampling, for the supervisors and colleagues were selected using snowball techniques. Semi-structured interview questions were used for data collection. Group discussions were conducted until saturation on 55 key informants. The qualitative data was analyzed using content analysis. Results showed the viewpoints of stakeholders on the characteristics of future nurse graduates were comprised of four elements: knowledge that meets standards; essential skills for self-development and lifelong learning process; good morals and professional ethics in providing nursing care; and nurse competencies in teamwork, communication, language, research, management, IT, life skills, and global literacy. The viewpoints on the development of the nursing curriculum focus on four elements: the learner, teaching and learning, course content, and instructor tasks. For learners, the admission criteria should include a minimum not only of knowledge, but also positive attitude, science, and art skills, since the nursing profession is both a science and the art of caring. Teaching and learning elements should be authentic, including exposure to real situations, an integrated network, and activities that improve nursing care. Course content was comprised of an updated curriculum, humanized nursing care, student center, theory and practice with moral integration, case-based study, critical thinking, multidisciplinary work, and love for the nursing profession. Instructor tasks are to elicit student ideas, provide opportunities to learn, support infrastructure, support technology use, and extra-curricular activities to develop the competencies of nursing students. Recommendations were that the curriculum administration should review the selection process of student candidates and instructional management to achieve expected outcomes of nursing characteristics in the future. The nurse lecturer should provide authentic and integrated instruction, decrease lecturing, cultivate a lifelong learning process, and sustain the nursing characteristics.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.137-146
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• 2011

The elementary school English Education Course consists of four integrated aspects of language (Listen, Speak, Read, Write) used to develop skills for daily communication in English. yet the 6th Grade English Education Curriculum focuses almost exclusively on sentence completion through copying and "fill-in-the-blank" exercises. Further, these activities are insufficient time to develop literacy skills. Additionally, the curriculum's emphasis on memorization within the written component is very time consuming for students, leading many to develop negative opinions of the written aspect of a comprehensive understanding of English. This thesis attempts to address each these problems through development of a web-based Learning Model for Cooperative Writing in English. The study resulted in three observations. First, this model overcame limitations of the current teaching model in schools. Second, students expressed more interest in the experimental model than in the current curriculum and standard pedagogical methods. Finally, the study demonstrated that improvement of English literacy is indeed possible using the model presented here.

• Journal of The Korean Association of Information Education
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• v.10 no.1
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• pp.37-46
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• 2006

We expected that PBL (Problem based Learning) methode has good effectiveness for HTML(Hyper Text Markup Language) learning of elementary school students. In this study, a test was conducted in which a PBL method and the traditional lecture-based learning method were applied to an HTML class, and compared the level of educational accomplishment and compared the effectiveness of the two methods. PBL applied was based on the IMSA model of problem-based learning center. Educational accomplishment was evaluated base d on evaluation of theory and application skills. Test results revealed that there were no significant differences in theoretic learning between the two methods of learning. However, in application skills, the PBL was proved to be significantly more effective th an the traditional lecture-based learning method. Through the study, it was verified that PBL has a more positive educational effect that the traditional lecture-based learning.

• English Language & Literature Teaching
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• no.1
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• pp.69-108
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• 1995

Listening comprehension can be defined as a process of an integrative, positive and creative activity through which listeners get the message of speakers' production using linguistic or non-linguistic redundancy as well as linguistic or non-linguistic knowledge. Compared with reading comprehension, it has many difficulties especially for foreigners. while it can be transferred to the other skills: speaking, reading, writing. With this said, listening comprehension can be taught effectively using the following teaching strategies. First. systematic and intensive instruction of segmental phonemes, suprasegmental phonemes and sound changes must be given to remove the difficulties of listening comprehension concerned with the identification of sounds. Second, vocabulary drill through various games and other activities is absolutely needed until words can be unconsciously recognized. Without this, comprehension is almost impossible. Third, instruction of sentence structures is thought to be essential considering grammar is supplementary to listening comprehension and reading comprehension for academic purpose. So grammar translation drills, mechanical drills, meaningful drills and communicative drills should be performed in succession with common or frequently used structures. Fourth, listening activities for overall comprehension should teach how to receive overall meaning of intended messages intact. Linguists and literatures have listed some specific activities as follows: Total Physical Response, dictation, role playing, singing songs, selective listening, picture recognition, list activities, completion, prediction, true or false choice, multiple choice, seeking of specific information, summarizing, problem-solving and decision-making, recognization of relationships between speakers, recognition of mood, attitude and behavior of speakers.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.