• Journal of Christian Education in Korea
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• v.78
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• pp.191-212
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• 2024

Purpose of the study: The purpose of developing this youth mission education material is to enable youth to understand the fundamental truths and values of Christianity based on the Bible, comprehend mission work, and practice it in their lives. Research Content and Method: In this study, we examined the concept and necessity of mission education for youth, and presented cases of mission education. The development process of the the materials involved prototype development and conducting FGI, first and second rounds of materials development, expert review and proofreading, and revisions and enhancements to produce the final version. Conclusions and Suggestions: This paper presents the development of mission education materials structured in 12 lessons, specifically designed for youth engagement within churches and Christian alternative schools. These materials include editions for teachers, students, and instructional resources. The contents of mission education are designed from the perspective of Bible, history, culture, and strategy, and are organized into modules so that they can be flexibly utilized in any order in the Christian education field. Additionally, each lesson includes three mission activities to enhance student engagement and motivation. This youth mission education material can serve as a foundational resource for conducting mission education suitable for the next generation in local churches and Christian alternative schools and for continuing mission work.

• Journal of Society of Preventive Korean Medicine
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• v.28 no.2
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• pp.131-150
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• 2024

Objectives : The aim of this study was to perform network analysis and analysis using the K-HERB database on inflammatory bowel disease (IBD), to verify the similarity between the derived networks and existing prescriptions, and to explore the possibility of developing new IBD prescriptions preliminarily. Methods : We conducted a comprehensive literature search on July 6, 2024, utilizing databases such as ScienceON, RISS, and OASIS. Clinical studies assessing the efficacy of herbal medicine in treating Crohn's disease and ulcerative colitis were identified and compiled into a structured database. This dataset, which included related prescriptions and herbal formulations, was subsequently analyzed using NetMiner 4 for centrality and Louvain clustering analyses. We then compared the networks derived from the K-HERB database with existing therapeutic prescriptions to assess their similarity. Results : A total of 24 prescriptions and 66 herbs were identified across the surveyed studies on IBD. Paeoniae Radix Alba(白芍藥) emerged as the most frequently utilized herb for both Crohn's disease and ulcerative colitis. Prominent herb combinations included Paeoniae Radix Alba-Angelicae Sinensis Radix (白芍藥-當歸), Angelicae Sinensis Radix-Coptidis Rhizoma (當歸-黃連), and Coptidis Rhizoma-Scutellariae Radix (黃連-黃芩) for ulcerative colitis. Centrality analysis revealed that Poria cocos (茯苓) and Paeoniae Radix Alba (白芍藥) had high centrality in the Crohn's disease, while Angelicae Sinensis Radix (當歸) and Paeoniae Radix Alba (白芍藥) had high centrality in the ulcerative colitis, indicating their prominent roles within the networks. Cohesion analysis resulted in 7 networks for Crohn's disease and 16 networks for ulcerative colitis. After excluding networks with a single herb, three networks related to Crohn's disease and two related to ulcerative colitis were examined using the K-HERB database. Among the 14 derived prescriptions for Crohn's disease and seven for ulcerative colitis, all except Oryeong-san (五苓散) were non-traditional in the context of IBD treatment. Conclusion : This preliminary study may provide a basis for the understanding and application of herbal prescriptions for IBD based on network analysis and the K-HERB database.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.531-542
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• 2024

The purpose of this study was to analyze the mediating effect of beauty workers' presenteeism on job burnout in the relationship between job performance and job turnover. The participants in this study were 272 beauty workers in Seoul and Gyeonggi Province, and data were collected through a structured questionnaire. The collected data were analyzed through descriptive statistics, confirmatory factor analysis, correlation, structural equation model, and mediation effect analysis using bootstrapping method using SPSS and AMOS 26.0 statistical programs. The conclusions drawn through a series of research procedures are as follows. First, beauty workers' presenteeism was found to have a statistically significant positive (+) effect on job burnout. Second, beauty workers' presenteeism showed a statistically significant positive (+) effect on turnover intention, but no significant relationship was found with job performance. Third, job burnout among beauty workers was found to have a statistically significant effect on job performance and turnover intention. Fourth, as a result of analyzing the mediating effect of beauty workers' presenteeism on job burnout in the relationship between job performance and turnover intention, the effect of presenteeism on job performance through job burnout showed a complete mediating effect, and it was different from turnover intention. It showed a partial mediation effect.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.721-732
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• 2024

This study is a descriptive research to determine the mediating effect of Positive Psychological Capital on the relationship between Job Stress and Retention Intention among nurses working at blood centers in the metropolitan area. Data were collected from 167 nurses using a structured questionnaire between May 2021 and April 2022, and analyzed by SPSS ver.25. General characteristics were analyzed through frequency, percentage, mean, and standard deviation. The relationship between Job Stress and Retention Intention was analyzed using independent samples t-test, ANOVA, and Pearson's correlation. Hypotheses were tested using hierarchical multiple regression analysis and PROCESS macro model 4. The results substantiated the hypotheses: Hypothesis 1 proposed that higher Retention Intention and Positive Psychological Capital were associated with lower Job Stress. Hypothesis 2 suggested that Positive Psychological Capital significantly partially mediates the relationship between Retention Intention and Job Stress. To promote Retention Intention among blood center nurses, it is crucial to implement human resource management systems aimed at alleviating Job Stress and enhancing Positive Psychological Capital. Specifically, enhancing Positive Psychological Capital within blood centers is particularly significant. This study contributes empirical evidence necessary for efficient personnel management and competency enhancement programs to reduce Job Stress, thereby enhancing the quality of nursing care among blood center nurses. Furthermore, it is recommended to develop intervention programs for Positive Psychological Capital to enhance Retention Intention and reduce Job Stress among blood center nurses.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.89-97
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• 2024

This study identifies the factors that influence metacognition, digital literacy and digital addiction on academic achievement in nursing students. This study was undertaken to determine the influence of metacognition, digital literacy and digital addiction on academic achievement in nursing students. Using a structured questionnaire, data on 198 participant characteristics, metacognition, digital literacy, digital addiction and academic achievement were collected from May 17 to May 27, 2024. Data were analyzed with the SPSS/WIN 26.0 program for descriptive statistics using descriptive statistics, pearson's correlation coefficient, and stepwise multiple regression. As a result of the study metacognition was 3.67±0.61 points, digital literacy was 3.66±0.70 points, digital addiction was 2.85±0.67 points, and academic achievement was 3.23±0.59 points. academic achievement was a significant positive correlation with metacognition (r=.610, p<.001), digital literacy (r=.468, p<.001). The determining factors affecting academic achievement in nursing students were followed by metacognition (β=.518, p <.001) and digital literacy (β=.196, p =.003). The explanatory power of these factors was about 40.7%. In order to improve the academic achievement of nursing students through the results of this study, it is necessary to develop an effective nursing intervention program that can increase metacognition.

• Journal of Ecology and Environment
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• v.48 no.3
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• pp.319-342
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• 2024

Background: The current study is the first quantitative ethnobotanical evaluation of Fateh Pur Thakyala, an unexplored area of Azad Kashmir, Pakistan. The exploration and quantification of ethnobotanical knowledge among people of the study area mainly focused during field survey. The study likely focuses on documenting and preserving the indigenous knowledge and practices related to medicinal plants in the region. A total 70 informants (45 males and 25 females) selected randomly to collect data were interviewed using semi structured questionnaire. The data like demographic characteristics of informants, methods of preparation, life form, modes of application, parts used, and ethnomedicinal uses was documented. The quantitative indices including relative frequency of citation (RFC), use value (UV), informant consensus factor (ICF), fidelity level (FL), consensus value for plant part (CPP), rank order priority (ROP), percentage respondent knowledge (PRK), were applied to analyze the collected data. Furthermore, primary data were also compared with fifteen papers published from adjoining areas by Jaccard index (JI). Results: The current study reported 135 medicinally important plants species belonging to 115 genera and 54 families. The dominating family was Asteraceae (14 sp.), followed by Fabaceae (11 sp.), Rosaceae (11 sp.), Lamiaceae (8 sp.), Moraceae (5 sp.), Solanaceae, Cyperaceae, Euphorbiaceae (4 sp.) and Poaceae, Sapindaceae, Rhamnaceae, Mrytaceae, Malvaceae (3 sp.) for each. The study revealed that there were small differences in usage of medicinal plants of different families. The herbaceous life form was dominating the study area with (79 sp.) used as herbal medicines followed by shrubs (23 sp.) and trees (33 sp.). The comparative study of for novelty of species and their uses by JI revealed 13 novel plants species which were not reported earlier from this region. Conclusions: Local inhabitants still prioritize herbal medicines as an effective way to treat a wide variety of ailments. Elders and health practitioners of the study area are well aware of indigenous knowledge about medicinal plants, but young people are not much interested in herbal practices. Thus, valuable knowledge about the use of plants is on the verge of decline. The overexploitation and seasonal fires are major threats for medicinal flora in the area.

• Journal of Agricultural Extension & Community Development
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• v.31 no.3
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• pp.153-175
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• 2024

This study aims to identify the factors influencing farmers' barriers to adopting climate-smart agriculture (CSA) practices in the coastal area of Bangladesh. We have used a semi-structured, pre-tested questionnaire to collect quantitative and qualitative data from 160 coastal farmers who had at least 10 years of farming experience. We found that internal consistency (Cronbach's alpha) values for the items of agricultural vulnerability, adopted CSA practices, and perceived barriers to adopting CSA practices were 0.72, 0.74, and 0.79, respectively. The Agricultural Vulnerability Index (AGVI) found increased soil salinity in the dry season, reduced freshwater resources, poor seed germination, and more pests and diseases as vulnerabilities in agriculture. The Adoption Index (ADI) identified most adopted CSA practices as including growing HYVs of vegetables on high land, short-duration HYVs of rice, using compost, proper fertilizer management, and sarjon cultivation methods. The Barrier Index (BI) showed that high initial investment costs, poor embankment infrastructure, low crop prices, a lack of solar-powered irrigation systems, and insufficient technical assistance from local extension organizations are the main barriers to the adoption of CSA practices. Farmers' age, education, training experience, job satisfaction, and use of information sources have influenced barriers to adopting CSA practices. The study suggested policies on coastal farmer competency development, ensuring crop insurance, providing interest-free credit policies, and a fair pricing system for crops.

• The Transactions of the Korea Information Processing Society
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• v.13 no.10
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• pp.537-544
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• 2024

The rapid advancement of artificial intelligence and machine learning technologies is driving innovation across various industries, with natural language processing offering substantial opportunities for the analysis and processing of text data. The development of effective text classification models requires several complex stages, including data exploration, preprocessing, feature extraction, model selection, hyperparameter optimization, and performance evaluation, all of which demand significant time and domain expertise. Automated machine learning (AutoML) aims to automate these processes, thus allowing practitioners without specialized knowledge to develop high-performance models efficiently. However, current AutoML frameworks are primarily designed for structured data, which presents challenges for unstructured text data, as manual intervention is often required for preprocessing and feature extraction. To address these limitations, this study proposes a web-based AutoML platform that automates text preprocessing, word embedding, model training, and evaluation. The proposed platform substantially enhances the efficiency of text classification workflows by enabling users to upload text data, automatically generate the optimal ML model, and visually present performance metrics. Experimental results across multiple text classification datasets indicate that the proposed platform achieves high levels of accuracy and precision, with particularly notable performance when utilizing a Stacked Ensemble approach. This study highlights the potential for non-experts to effectively analyze and leverage text data through automated text classification and outlines future directions to further enhance performance by integrating Large language models.

• Journal of Korean Elementary Science Education
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• v.43 no.4
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• pp.504-518
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• 2024

In this study, the pre-service elementary teachers' characteristics of pedagogical design using science teacher's guides were analyzed. Eleven pre-service teachers at the University of Education in Korea participated in the study. They were provided with three types of teacher's guides and were asked to use them to design a science lesson. Semi-structured interviews were conducted to obtain specific information on how the guides were implemented. The analysis of the results revealed that they primarily used the guides to classify the learning content for each lesson and establish connections between the content of the particular lessons through the unit learning system. The teacher's guides mainly featured knowledge-based learning objectives, and most pre-service teachers accepted them without considering the attitudinal aspects. In the process of designing the assessments, the teaching goals written down by the pre-service teachers were used as the main source. Teaching and learning activities were supplemented by evaluating the activities presented in the teacher's guides based on the students' cognitive level and misconceptions. In terms of teaching methods, the teacher's guides were evaluated and reorganized to develop teaching-learning models and to construct introductory activities that cater to students' interests and motivations. Based on the results, we discussed the utilization of the guides to enhance their pedagogical design capacity and suggested directions to improve them.

• Journal of The Korean Association For Science Education
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• v.44 no.5
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• pp.379-390
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• 2024

In this study, chemistry teachers' noticing of high school student's chemistry problem-solving materials was explored. Fourteen high school teachers participated in the study. We created materials documenting student's problem-solving processes and conducted semi-structured interviews with teachers. The results of the study revealed that most teachers only paid attention to errors in student's scientific thinking, and the number of teachers who paid attention to scientific thinking partially or completely was the same. In interpreting, teachers were most likely to provide an exaggerated interpretation with evidence, followed by a correct interpretation with evidence, and an incorrect interpretation with some evidence. In responding, many teachers suggested responses that aligned with student's thinking, with slightly more aligning with student's specific thinking than with general thinking. Teachers who suggested actions that aligned with student's specific thinking tended to be content-focused, with some vague or off-target responses. Teachers who suggested responses that aligned with student's general thinking tended to be similar to those who suggested responses that aligned with student's specific thinking, but neither type of teacher suggested student-centered responses. Some teachers suggested responses that did not align with student thinking. Based on these findings, we discussed ways to improve teachers' noticing of student problem-solving.