• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.661-670
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• 2019

The purpose of the study was to review the evidence of effects of virtual reality (VR) technology in nursing education. Four databases were searched for articles publised until November 2018 that databases include PubMed, Proquest (nursing and allied health), CINAHL, & RISS. Key word used for search include 'education, nursing', 'simulation', 'skill training', 'virtual reality' and 'VR'. Of 695 papers searched, Seven studies were selected for data analysis. Of seven studies, five studies used quasi-experimental design and two used one group design. There were two studies used VR technology for skill training and five were scenario based VR simulation program. Studies evaluated outcomes including students performance, time spent on practice, self-efficacy and communication ability that most studies reported positive effects while some figures were not statistically significant. The findings of this study provides evidence of nursing education program using VR, however, additional research with rigorously designed studies using systematized measurements for study outcomes are required. In addition, comparison with existing skill training and simulation education should be considered in the future studies.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.879-890
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• 2021

AI education is being emphasized nationwide as a literacy education. At this point, it is necessary to identify critical issues and suggest the direction of future research by examining domestic AI education research trends. To this end, the study applied the scoping review method. A total of 29 AI educational studies from 2017 to 2020 in South Korea were analyzed. As a result, it was confirmed that the number of studies increased rapidly in 2020, and a large proportion of studies targeted elementary school students. In addition, the study found that AI principles were treated as contents at a high rate, both cognitive and affective aspects were frequently reported as a learning outcome, and various practice environments were used relatively evenly. Based on the results, the direction of future research was discussed and suggested.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.15-23
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• 2022

In the field of patents, as NLP(Natural Language Processing) is a challenging task due to the linguistic specificity of patent literature, there is an urgent need to research a language model optimized for Korean patent literature. Recently, in the field of NLP, there have been continuous attempts to establish a pre-trained language model for specific domains to improve performance in various tasks of related fields. Among them, ELECTRA is a pre-trained language model by Google using a new method called RTD(Replaced Token Detection), after BERT, for increasing training efficiency. The purpose of this paper is to propose KorPatELECTRA pre-trained on a large amount of Korean patent literature data. In addition, optimal pre-training was conducted by preprocessing the training corpus according to the characteristics of the patent literature and applying patent vocabulary and tokenizer. In order to confirm the performance, KorPatELECTRA was tested for NER(Named Entity Recognition), MRC(Machine Reading Comprehension), and patent classification tasks using actual patent data, and the most excellent performance was verified in all the three tasks compared to comparative general-purpose language models.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.199-220
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• 2023

Research competitiveness is the future of the university and the future of the country. This study is to present considerations when university libraries introduce and perform research performance analysis services and to propose guidelines for selection of analysis solutions. In order to achieve the purpose of this study, 6 university library staff were interviewed and 4 research performance analysis solutions were compared. The contents of the interview include the background of service promotion, service content, subscription solution, service provision scope and provision method. The research performance analysis solutions selected for analysis are InCite, SciVal, RIMS and Scholytics. As a result of analyzing the four solutions, it was found that most of the software has the necessary functions to perform research performance analysis service tasks, and generally subscribed to the solution according to the purpose of analysis. The results of this study can be used as reference materials for performing research performance analysis services in university libraries.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.97-117
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• 2023

The purpose of this study is to develop descriptive metadata elements of contents of oral history records. First, the meaning of contents in transcripts and detailed interview lists, as well as the characteristics of metadata for oral history records, were examined. Second, elements related contents of domestic and international oral history metadata were compared to identify 18 elements, then streamlined 12 elements were set by removing duplicates. Third, 12 elements were compared with detailed interview lists based on transcripts of 6 interviewees who had interviews on knit business in Haebangchon. The result of this study discovered 1 additional element that designated as 'basic' and these were further categorized into 15 element of 'enhanced'. These elements are expected to contribute to expanding the scope of utilization of oral history records by supporting the structure and expression of that contents.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.3
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• pp.65-89
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• 2024

This study developed a model to classify news articles into categories of topic, genre, and region using a Korean Pre-trained Language model. To achieve this, a new news article classification system was designed by referring to the classification systems of domestic media outlets. The topic and genre classification models were implemented as hierarchical classification models that link the main categories and subcategories, and their performance was compared with that of an integrated category model. The evaluation results showed that the hierarchical structure classification model had the advantage of providing more precise categorization in ambiguous or overlapping categories compared to the integrated category model. For regional classification of news articles, a model was built to classify into 18 categories, and for regional news articles, the regional characteristics were clearly reflected in the text, resulting in high performance. This study demonstrated the effectiveness of classifying news articles from multiple perspectives-topic, genre, and region-and emphasized the significance of suggesting the potential for a multi-dimensional news article classification service that meets user needs.

• Journal of the Health Care and Life Science
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• v.9 no.2
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• pp.267-273
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• 2021

The purpose of this study is a systematic literature review to investigate the effect of clinical judgment after simulation practice in nursing students in Korea. The research subjects were papers published from 2011 to February 2021, and the Korean database, KmBase, Korea Research Information (KISS), and Science and Technology Information (NDSL) were searched. ','Nursing debriefing' was searched. Out of a total of 279 studies, the final 3 literatures were selected. All three studies were non-randomized quasi-experimental studies, and the quality of the literature was confirmed. As a result of the study, it was confirmed that the debriefing after the simulation-based class showed statistically significant results for clinical judgment. In order to see the effect of simulation-based education, it is necessary to design a systematic interventional study in the future, and it can be suggested that field practice and a comparative study of simulation are necessary.

• Journal of the Daesoon Academy of Sciences
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• v.48
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• pp.41-155
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• 2024

Among the records that attest to the period from July to August of 1863, when Suwun was believed to have transmitted the orthodox lineage to Haewol, the oldest documents are The Collection of Suwun's Literary Works (水雲文集), The Collection of Great Master Lord's Literary Works (大先生主文集), and The Records of Dao Origin of Master Choe's Literary Collection (崔先生文集道源記書, hereafter referred to as The Records of Dao Origin). The records regarding Suwun in these three documents are considered to have originated from the same context. The variances embedded in the three documents have led to arguments about which documents accurately reflect the fact of orthodox lineage transmission. Additionally, these variances highlight the necessity of a review regarding the characteristics of early Eastern Learning, such as its faith and organizational systems. Accordingly, by thoroughly examining these three documents, it is possible to elucidate the chronological order, establishment-date, accuracy, descriptive direction, and characteristics of the faith system of early Eastern Learning as these are reflected in each document. If successful, this examination would provide a clearer description of the developmental process of Eastern Learning from 1860 to 1880, facilitating a more in-depth analysis of the significance embedded in various forms of discourse on the movement's orthodox lineage transmission. In comparing the three documents and contrasting them with related sources, the results of the textual examination assert that the documents within the lineage of The Collection of Suwun's Literary Works, given they lack a clear record of the event regarding Haewol's orthodox lineage succession, may be the first draft of The Collection of Great Master Lord's Literary Works and The Records of Dao Origin, as these texts distinctly include that record. This reflects that Haewol's succession was not precisely recognized within and outside of the Eastern Learning order until the time when The Collection of Great Master Lord's Literary Works and The Records of Dao Origin were published. This is further attested to by the fact that during the late 1870s, when various Yeonwon (fountainhead) factions of Eastern Learning began to converge around Haewol, and his Yeonwon became the largest organization within Eastern Learning. At that point, the order's doctrine was reinterpreted, and its organization was reestablished. In this regard, it is necessary to view Eastern Learning after Suwun-especially the orthodox lineage transmission to Haewol-from a perspective that considers it more as competing forms of discourse than as a historical fact. This view enables a new perspective on Haewol's Eastern Learning, which forms a distinct layer from Suwun's, shedding light on the relationship between Haewol and the new religious movements in modern-day Korea.

• Korean Journal of Construction Engineering and Management
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• v.5 no.6 s.22
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• pp.129-137
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• 2004

When we consider the present state of construction delay claim analysis, the delay analysis methods generally used from the abroad construction industries are not applied to our industry. By reviewing the existing methods of delay analysis, this study investigated the important concepts and characteristics of the delay analysis methods. Selection of the delay analysis methods could be decided among 1)As-planned versus as-built comparison method,2)What-if method,3)But-for method.4)CPA method, and 5)DAMUDS method. In order to make clear the characteristics and mechanisms of the analysis methods, this study performed a case study.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.177-193
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• 2011

This study constructed an ontology targeting journal articles and evaluated its performance. Also, the performance of a triple structure ontology was compared with the knowledge base of an inverted index file designed for a simple keyword search engine. The coverage was three years of articles published in the Journal of the Korean Society for Information Management from 2007 to 2009. Protege was used to construct an ontology, whilst utilizing an inverted index file to compare performance. The concept ontology was manually established, and the bibliography ontology was automatically constructed to produce an OWL concept ontology and an OWL bibliography ontology, respectively. This study compared the performance of the knowledge base of the ontology, using the Jena search engine with the performance of an inverted index file using the Lucene search engine. As a result, The Lucene showed higher precision rate, but Jena showed higher recall rate.