• Journal of Korean Society of Archives and Records Management
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• v.21 no.4
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• pp.1-18
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• 2021

Today, record management has become more important in management as records generated from administrative work and data production have increased significantly, and the development of information and communication technology, the working environment, and the size and various functions of the government have expanded. It is explained as an example in connection with the concept of public records with the characteristics of big data and big data characteristics. Social, Technological, Economical, Environmental and Political (STEEP) analysis was conducted to examine such areas according to the big data generation environment. The appropriateness and necessity of applying big data technology in the field of public record management were identified, and the top priority applicable framework for public record management work was schematized, and business implications were presented. First, a new organization, additional research, and attempts are needed to apply big data analysis technology to public record management procedures and standards and to record management experts. Second, it is necessary to train record management specialists with "big data analysis qualifications" related to integrated thinking so that unstructured and hidden patterns can be found in a large amount of data. Third, after self-learning by combining big data technology and artificial intelligence in the field of public records, the context should be analyzed, and the social phenomena and environment of public institutions should be analyzed and predicted.

• Education of Primary School Mathematics
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• v.25 no.4
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• pp.411-431
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• 2022

In this paper, implications for future curriculum compilation were sought by analyzing the process and results of compiling books for elementary school mathematics textbooks government published according to the 2015 revised curriculum. The 2015 revised elementary mathematics textbooks government published was operated with a systematic compilation system so that academia and school field experts across the country could demonstrate their expertise. As improvements in content, the unit and time to strengthen basic computational skills were increased, and the mathematical concept and principle introduction method and algorithm presentation method were improved, and the internal connection between contents was strengthened. The learning period was adjusted, such as moving and arranging contents that are difficult for students to understand to the upper semester or the upper grade. In the 1st and 2nd graders, the amount of reading was drastically reduced to suit the students' level of Korean, and sentences and vocabulary were improved, and instructions were briefly revised. As for editing and design improvements, illustrations of each unit's introduction and contextual pictures were presented in detail, and the characters in the textbook were consistently presented across all grades, giving children characters a role to actively participate in learning in the textbook. In the process of compiling, the media, the National Assembly, and civic groups raised opinions that sentences and vocabulary in first-year textbooks are more difficult than students' level of Hangeul education, that reducing textbooks makes it difficult for students to understand. Accordingly, efforts to improve textbook compilation and the results were viewed. Through the overall analysis as above, for future compilation of state-authored textbooks and certified textbooks, a plan to improve textbook compilation for students and teachers and a plan to operate compilation was proposed.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.913-924
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• 2022

In this paper, we presented a database construction of undersea images for the Habitats of Ecklonia cava and Sargassum and conducted an experiment for semantic segmentation using state-of-the-art (SOTA) models such as High Resolution Network-Object Contextual Representation (HRNet-OCR) and Shifted Windows-L (Swin-L). The result showed that our segmentation models were superior to the existing experiments in terms of the 29% increased mean intersection over union (mIOU). Swin-L model produced better performance for every class. In particular, the information of the Ecklonia cava class that had small data were also appropriately extracted by Swin-L model. Target objects and the backgrounds were well distinguished owing to the Transformer backbone better than the legacy models. A bigger database under construction will ensure more accuracy improvement and can be utilized as deep learning database for undersea images.

• Journal of Korean Elementary Science Education
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• v.41 no.4
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• pp.754-770
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• 2022

For teachers, noticing refers to paying attention to something, indicating they interpret it and how they are willing to react to it in the context of their own instruction. Analysis of noticing features enables us to understand the overall characteristics of the teacher's lesson design, practice, and reflection, which are core agents in the educational design and implementation. This can also be taken to be the basis of education design for competency reinforcement for teachers. Therefore, in this study, the characteristics of noticing shown in teachers' reflections after class design and demonstration were identified. For this purpose, the self-reflection journals of 106 elementary pre-service teachers enrolled in the College of Education in Gangwon-do were analyzed. In particular, the journals were gathered that were written after the demonstration dealing with the change of gas volume by temperature in science class. After designing a noticing analysis frame consisting of the five dimensions 'agent', 'stage', 'topic', 'focus', and 'stance', the frequency and ratio of noticing by each dimension's components were derived. The frequency and ratio of noticing for the dimension of 'focus' were analyzed for the dimensions of 'stage' and 'topic'. The results of the study were as follows. For the dimension of 'agent', the frequency of teacher and student was the highest, and for the dimension of 'stage', inquiry activity was the highest. For the 'topic' dimension, class design according to the teaching strategy appeared most frequently, and in the 'focus' dimension, the cases that did not specify the goal of the class and the competencies to be achieved by the students appeared most frequently. In the 'stance' dimension, description showed the highest frequency. From the analysis of how the 'focus' changes according to the 'stage' and 'topic', it was found that a characteristic focus appeared for each component of the dimension. From these results, the implications of the noticing characteristics of pre-service teachers for the design and implementation of teacher education were discussed.

• Journal of The Korean Association For Science Education
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• v.42 no.2
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• pp.227-238
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• 2022

One of the main roles of the science teacher is to help students become active agents in their learning of science. This study described how an elementary science teacher used students' emotional resources to conduct emotionally responsive teaching and what were the learning outcomes of this approach. The participants of the study included the teacher himself and his 6^th grade students, and emotionally responsive teaching was applied in the science unit of 'Various Living Things and Our Human Lives'. Multiple types of data, including the teacher's teaching logs, video recordings of the lessons in the unit, and interviews with the students, were collected. The data were analyzed qualitatively, and the results were described using a self-study method. The teacher took advantage of three kinds of students' emotional resources (i.e., character drawing, t-shirt design, and raps) to organize his emotionally responsive teaching. The learning outcome included the students' positive emotions and active participation in science lessons, their epistemic practices such as explorations and justifications of knowledge, and the students' reconstruction of knowledge in consideration of their everyday lives. It was suggested that emotionally responsive teaching can promote elementary school students' active participation in science learning, resulting in meaningful learning outcomes in emotional, cognitive, and conceptual aspects. Further studies should thus be conducted to understand the characteristics of emotionally responsive teaching and its detailed teaching strategies.

• 한국노년학
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• v.41 no.1
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• pp.1-24
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• 2021

This study aims to examine how old people think about 'dignifiable aging'. For the study, the authors have tried to understand and analyze of old people's view on 'classy and gracious aging' through their life experiences. The study focuses on the questions of 'how the participants experience aging', 'how they understand well, classy and successful aging and 'how they explain their ideas of the aging, then analyzes their ideas as types of 'within cases' as well as 'inter cases'. Indepth interview has employed as main methodology of data collection with the analysis of concerned written documents such as on-line and off-line essays as secondary data. The collected data had been basically sorted and analyzed by sorting commonimity and differences. Then they have been classified into the thems that indicate meanings and forms of 'dignified aging': 'ageless mind', 'happiness determined by one's mind', 'responsibility on family', 'desire for learning and social activities'. These meaning-units are added up to the main meaning of '(fullfilled) satisfaction through life-values' mediated by 'acceptance and acknowledgement', 'efforts', 'others' gaze', 'dreams and hopes', '(fullfilled) Satisfaction through life-values' can be achieved by 'sharing with others'. An interesting fact is that the meaning-units can be devided into two groups: 'the real life is the ideal life' which explains the actualization of the ideal in the daily life and 'life, conflict, the ideal' in which the real and the ideal are parellel with constant conflicts. In the conclusion, some implications and suggestions derived from the analysis are described from the v iew of social welfare.

• The Mathematical Education
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• v.61 no.3
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• pp.457-476
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• 2022

Mathematics textbooks as the main resources to support mathematical teaching and learning are used importantly in Korean lessons. Although the scope of mathematics textbook research has been expanded and the research has increased, few studies have analyzed the overall trends of mathematics textbook research in Korea. This study analyzes the overall trends of textbook research on 418 papers pertinent to mathematics textbooks published in domestic mathematics education journals. The results of this study showed that the proportion of textbook analysis research was the highest, followed by textbook use and textbook development research in order. There were more textbook studies at the elementary school level than at the middle or high school levels. Regarding textbook analysis studies, the most frequent topic was to analyze how specific mathematical concepts were presented in textbooks. Regarding textbook use studies, many studies asked both teachers and students to review the appropriateness of textbooks under development or analyzed the perception and use of specific activities of textbooks based on a survey. Regarding textbook development studies, the most popular topics included the directions and examples of new development, such as storytelling-based or electronic textbooks. This paper finally presented implications for textbook research in light of the domestic mathematics education context and the international mathematics textbook research trends.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.1
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• pp.72-86
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• 2023

The purpose of this study is to examine what epistemological beliefs pre-service teachers have about science depending on the situation, and to explore in-depth changes in epistemological beliefs through disciplinary reading. For this purpose, 77 essays written by pre-service elementary school teachers after reading Feynman's 'the meaning of it all' were analyzed using an inductive analysis method. As a result of the study, the epistemological beliefs of pre-service teachers were divided into two situations: 'science in subject learning' and 'science in daily life', and the epistemological beliefs formed in the 'science handled by scientists' situation were analyzed after reading the book. Each situation was divided into sub-categories of 'Impression of Knowledge', 'Source of Knowledge', 'Justification of Knowledge', 'Variability of Knowledge', 'Structure of Knowledge', and 'Value of Knowledge Acquisition' to reveal differences in sophisticated beliefs and naive belief levels. As a result, it was derived that Feynman's science lecture influenced pre-service teachers in terms of establishing new perspectives and recontextualizing existing epistemological beliefs. This study is meaningful in that pre-service teachers' scientific epistemological beliefs may vary depending on the situation, and that the scope and depth of epistemological beliefs may be expanded to include scientists' beliefs in science through disciplinary reading.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.5-24
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• 2023

In ancient Egypt, temples were not only religious sanctuaries but also community centers. One of the core spaces created in the temple is the facility where priests and scribes copied and preserved texts on papyrus and other media. Its common designation was 'pr-mḏȝ'(House of Books) and the 'per-(nw)-seshw'(House of Scrolls). The general term used during that time was 'Per Ankh', and the modern term for it is 'temple library'. Therefore, this study first identified the character and identity of the Per Ankh attached to the temple, and then traced whether it is appropriate to designate 'healing place of the souls' depicted on the hypostyle hall(Per Ankh) in the Ramesseum(mortuary temple) built by Ramses II of the New Kingdom as a library. As a result, Per Ankh, a hieroglyph combining the Per(house) and Ankh(life), was revealed to be a multi-purpose complex facility consisting of a learning and research center, a treatment and healing center with medical facilities and sanatoriums, a religious ceremony and a center for the celebration of eternal life, a scriptorium and a library. Therefore, the traditional argument that Per Ankh refers to a library cannot be justified. In the same context, the inscription 'Ψυχῆς ἰατρεῖον' on the doorplate of the hypostyle hall of the Ramesseum, which was first introduced by Greek historian Hecataeus of Miletus in the 4th century BC, was translated into Latin as 'Psychēs Iatreion' by Diodorus Siculus in the 1st century BC and described as the motto of the sacred library. However, Psyche is the goddess of Greek and Roman mythology, and Iatreion means hospital(clinic, healing center) and pharmacy, so Per Ankh in the Ramesseum is a space to heal the soul of the pharaoh (Ka). Therefore, 'Psychēs Iatreion = library' is a distortion and a mistranslation. It is not the motto of the library, but a metaphor for the Per Ankh.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.31-49
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• 2023

With the growth of the food-catering industry, consumer preferences and the number of dine-in restaurants are gradually increasing. Thus, personalized recommendation services are required to select a restaurant suitable for consumer preferences. Previous studies have used questionnaires and star-rating approaches, which do not effectively depict consumer preferences. Online reviews are the most essential sources of information in this regard. However, previous studies have aggregated online reviews into long documents, and traditional machine-learning methods have been applied to these to extract semantic representations; however, such approaches fail to consider the surrounding word or context. Therefore, this study proposes a novel review textual-based restaurant recommendation model (RT-RRM) that uses deep learning to effectively extract consumer preferences from online reviews. The proposed model concatenates consumer-restaurant interactions with the extracted high-level semantic representations and predicts consumer preferences accurately and effectively. Experiments on real-world datasets show that the proposed model exhibits excellent recommendation performance compared with several baseline models.