• Journal of the Korean earth science society
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• v.37 no.5
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• pp.309-322
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• 2016

This paper presents an analytical framework of Conceptual Understandings of Earth Systems (CUES) that shows a relationship between disciplinary knowledge of Earth systems and the specific thinking skills required to understand that knowledge. This framework is developed through an extensive literature review of students' and teachers' understandings of earth systems concepts and systems thinking in earth science context. This study first presents the categories of disciplinary knowledge of Earth systems, Earth System Knowledge (ESK). This study then illustrates a relationship between categories of ESK and the ontological categories (Matter, Process, Systems) that has been used to study students' conceptual understandings of Earth systems. Finally, this study presents the CUES framework to show the relationship between disciplinary knowledge and thinking skills. The implications of using this framework for curriculum development, assessment, and teacher education and ESS research are discussed.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.567-591
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• 2021

This study examined the curriculum of 23 graduate schools of archival sciences in the United States, Canada, the United Kingdom, and Australia and 25 graduate schools of archival sciences in Korea, and compared core knowledge categories. The average number of courses in Korea and other countries was similar, but each university in other countries set required courses, and few in Korea. As a result of comparison by knowledge category, all knowledge categories in North America were opened as individual courses, while the UK and Australia did not open knowledge categories of outreach, instruction, advocacy, and knowledge categories of professionalism separately. In Korea, the category of outreach, instruction, advocacy, the knowledge category of professionalism, and the knowledge category of information technology have not been established separately, while courses related to history and administration are subdivided. In order to reform the archival science education in Korea, the knowledge categories for archival professionals should be prepared and the guidelines and certification standards for the education should be established.

• Smart Media Journal
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• v.13 no.7
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• pp.36-44
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• 2024

Identifying plant species and diseases is crucial for maintaining biodiversity and achieving optimal crop yields, making it a topic of significant practical importance. Recent studies have extended plant disease recognition from traditional closed-set scenarios to open-set environments, where the goal is to reject samples that do not belong to known categories. However, in open-world tasks, it is essential not only to define unknown samples as "unknown" but also to classify them further. This task assumes that images and labels of known categories are available and that samples of unknown categories can be accessed. The model classifies unknown samples by learning the prior knowledge of known categories. To the best of our knowledge, there is no existing research on this topic in plant-related recognition tasks. To address this gap, this paper utilizes knowledge distillation to model the category space relationships between known and unknown categories. Specifically, we identify similarities between different species or diseases. By leveraging a fine-tuned model on known categories, we generate pseudo-labels for unknown categories. Additionally, we enhance the baseline method's performance by using a larger pre-trained model, dino-v2. We evaluate the effectiveness of our method on the large plant specimen dataset Herbarium 19 and the disease dataset Plant Village. Notably, our method outperforms the baseline by 1% to 20% in terms of accuracy for novel category classification. We believe this study will contribute to the community.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.1
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• pp.27-46
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• 2020

The need for changes in archival studies curriculum has been steadily raised because of the wide variation of the curriculum in each graduate school. In this study, the foreign archival studies guidelines and certification standards were compared and analyzed to derive key categories and elements for developing the Korean guidelines for a graduate program in archival studies. The five key categories and elements of the guideline include introduction, mission and goal, knowledge categories, administrative factors, and conclusion. On the other hand, the 10 knowledge categories to be learned by archivists include ① The Nature of Records and Archives, ② Selection, Appraisal, and Acquisition, ③ Arrangement and Description, ④ Preservation, ⑤ Reference and Access, ⑥ Outreach, Instruction, and Advocacy, ⑦ Management and Administration, ⑧ Social and Cultural Systems, ⑨ Legal and Financial Systems, and ⑩ Information Technology. In the future, knowledge categories need to be actively reflected by the opinions of the academic community and archivists to improve the graduate curriculum.

• Journal of Information Science Theory and Practice
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• v.6 no.2
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• pp.46-61
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• 2018

The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.

• The Korean Journal of Rehabilitation Nursing
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• v.15 no.2
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• pp.117-125
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• 2012

Purpose: The purpose of this study was to develop and validate of a knowledge scale for lymphedema in patients with breast cancer. Methods: 34 preliminary items were made according to literature review, then verified content validity, construct validity, and reliability of the scale. 28 items among them were confirmed through content analysis by 4 experts. After a preliminary test, a survey for 156 breast cancer patients was performed for confirming construct validity and reliability. The data were analyzed using factor analysis, independent t-test, and KR-20. Results: This scale had 28 items consisting of 2 categories: prevention and self-care of lymphedema. Construct validity was confirmed by known-group technique because there were some categories consisted of just one or two items, and some mismatches between categories and items in factor analysis. Women who were educated about lymphedema scored significantly higher than women who had not (t=-3.92, p<.001). Reliability was appropriate (KR-20=.81). A percentage of correct answers was 74.6%, but it was from 31.8% to 96.1%. Conclusion: The study shows that this scale is reliable and valid to measure the knowledge of lymphedema. This scale can be effective to assess and educate the patients with breast cancer.

• Hwankyungkyoyuk
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• v.17 no.1
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• pp.144-153
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• 2004

The purpose of this study was to investigate middle school student's environmental literacy level and variables that affect their environmental literacy. Of the students, 987 in 7th grade from big cities, medium sized cities and mountain areas participated in this study, and their environmental literacy was measured through 88 questions (27 items for knowledge, 27 items for attitude, 25 items for behavior, 9 items for skill) with 14 demographic variables. Forty-five minutes were given to answer the questions. Statistical analysis was conducted on each of the categories(knowledge, attitude, behavior, skill) that make up environmental literacy and factor analysis was also conducted to investigate variables that affect environmental literacy. Results indicated that the correlation between attitude and behavior is the strongest. Also, it was found that a demographic variable might affect one, two, or sometimes all categories of the environmental literacy. Especially students' perceptions, knowledge and attitude of science positively affect all categories of environmental literacy.

• Knowledge Management Research
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• v.19 no.2
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• pp.47-68
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• 2018

Business environment is shifting from industrial economy to knowledge based economy. Enterprises go through numerous trials for successful management in changing environment. Along with trial tests, research area has been growing simultaneously. Unlike initial research which focused on basic concepts such as: form of business model and success points. Current research emphasizes on actualization of business that enterprises plan, which brought academic research with perplex form of knowledge structure. On the other hand, there is limitation in understanding business model systematically due to preceding research primarily centered on analyzing definition and case study. In order to analyze knowledge structure, this study utilized social network analysis based on "relationship". For the analysis, 13,412 keywords were extracted from 36years worth of article or research related to business model stored in SCOPUS database. From the analysis, it was shown core research subject was INNOVATION and the number of co-authors has increased due to the academic diversity. Business model research is divided into five sub-categories (E-commerce, SMEs, sustainability, open-source, and e-book). Through cognitive map analysis on each of research characteristics of sub-category, it has shown that E-commerce, SMEs, sustainability, and open-source are core categories.

• Journal of Korean Society for Atmospheric Environment
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• v.18 no.3
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• pp.231-245
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• 2002

A better knowledge of emission inventories can serve several important functions such as provision of public information, identification of primary sources, assessment of temporal and spatial trend, and analysis for national modelling studies. The purpose of this paper is to propose the new air emission source categories on the basis of the Korea Standard Industrial Classification. Hence, the paper focuses on reviewing and comparing the air emission sources categories of USEPA, and EU. The new emission source categories compose Tiers 1, 2, and 3. For Tier 1, there are 14 categories; fuel combustion-utilities, industries, and heating and others, chemical and allied product manufacturing, metals processing, and petroleum and related industries, etc. Tier 2 consists of small categories classified minutely in Tier 1. Tier 3 connects the categories of Tier 2 with the Korea Standard Industrial Classification.

• Journal of Korean Library and Information Science Society
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• v.36 no.1
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• pp.459-477
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• 2005

The purpose of this study is to investigate a fundamental model for categories and relationships among concepts in library and information science field in order to construct an ontology based upon the knowledge construct of human being. Questionnaire and interview were involved for this study, The results shows that students' knowledge structure was different from KDC and DDC schemes. Students had an object oriented knowledge structure and provided four relationship models. These model could provide a fundamental data for ontology construction. Also, it shows that student academic grades influenced their knowledge structures.