• Journal of Korean Home Economics Education Association
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• v.2 no.1
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• pp.91-99
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• 1990

By the comparative analysis of middle school Home Economics curricula in the U.S, Sweden, japan, Taiwan, and Korea, this study attempts to understand the current Home Economics education and to access its trends for each country. Based on the findings of the analysis, this study also seeks to get the major implications of the analysis for the betterment of the Korean Home Economics Education. The main sources of information and data analyzed here are :1)curricula for 10 School Districts in Pennsylvania state as representives of the U.S ; 2)Home Economics curriculum for middle school in Sweden ; 3) Home Economics Teaching Guidelines in Japan ;4)Home Economics curriculum in Taiwan ; and 5) Home Economics curriculum in Korea. Content Analysis technique is applied in this study. The major elements of contents include :1)structure of the curriculum ;2)subject name ; 3)time allotment; 4)goals and objectives ; 5)subject areas and content composition ; 6) other related characteristics for the implemention of the curriculum Summarized results of the study outline as follows; 1)Home Economics is offered as independently required subject without sex discrimination in all five countries. 2)Time allotment for Home Economics in Sweden is double that in the other countries. 3)The common goals of Home Economics courses is practical learning experiences closely related to reality. 4) In terms of subjects areas, Food and Nutrition, Clothing & Textiles, Housing Human Development, and Child care are offered in three of four countries, which is also similar to those of Korea. In addition Consumer Education is also covered in the U.S., Sweden and Korea. 5)Curriculum can be utilized as instructional planning materials due to the clear specification of instructional method, materials, and evaluation method on the curriculum, especially in the U,S, and Taiwan.

• Journal of the Korean School Mathematics Society
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• v.17 no.4
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• pp.747-769
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• 2014

The purposes of this study were to investigate pre-service mathematics teachers' perceptions of the role of cooperating teachers and teacher interactions during teaching practicum. Thirty-four pre-service mathematics teachers who finished student teaching participated in the study. The researcher collected data from various sources such as a questionnaire, interviews, and written documents. According to the results of the study, more than 50 percent of the participants showed negative responses to all of the questionnaire items on teaching activities or guidance of cooperating teachers. Cooperating teachers mainly played a role in the stage of reflection of student teacher's teaching practice, and they provided specific feedback and guidance of teaching and learning methods and contents. Cooperating teachers played roles as (mathematics) teacher educators, classroom observers, and co-teachers, but their roles as teacher educators or co-teachers should be more stressed for pre-service mathematics teachers' professional development.

• Analytical Science and Technology
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• v.33 no.2
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• pp.98-107
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• 2020

Methamphetamine (MA) is currently the most abused illicit drug in Korea. MA is produced by chemical synthesis, and the final target drug that is produced contains small amounts of the precursor chemicals, intermediates, and by-products. To identify and quantify these trace compounds in MA seizures, a practical and feasible approach for conducting chromatographic fingerprinting with a suite of traditional chemometric methods and recently introduced machine learning approaches was examined. This was achieved using gas chromatography (GC) coupled with a flame ionization detector (FID) and mass spectrometry (MS). Following appropriate examination of all the peaks in 71 samples, 166 impurities were selected as the characteristic components. Unsupervised (principal component analysis (PCA), hierarchical cluster analysis (HCA), and K-means clustering) and supervised (partial least squares-discriminant analysis (PLS-DA), orthogonal partial least squares-discriminant analysis (OPLS-DA), support vector machines (SVM), and deep neural network (DNN) with Keras) chemometric techniques were employed for classifying the 71 MA seizures. The results of the PCA, HCA, K-means clustering, PLS-DA, OPLS-DA, SVM, and DNN methods for quality evaluation were in good agreement. However, the tested MA seizures possessed distinct features, such as chirality, cutting agents, and boiling points. The study indicated that the established qualitative and semi-quantitative methods will be practical and useful analytical tools for characterizing trace compounds in illicit MA seizures. Moreover, they will provide a statistical basis for identifying the synthesis route, sources of supply, trafficking routes, and connections between seizures, which will support drug law enforcement agencies in their effort to eliminate organized MA crime.

• Journal of the Korean Solar Energy Society
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• v.31 no.1
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• pp.68-77
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• 2011

The concern of green building has been increased with an environmental problem or a rising oil price by industrialization. Therefore offices, schools and some buildings are expected to acquire the green building certification increasingly, but the information such as a process of green building certification, the state of certificated buildings, a score as specific clauses on green building certification is to seek. For not only school facilities make an effect to an student's learning achievement, but is the place where adolescents in a period of growth almost spend their life, eco-friendly school facilities is absolutely required. For this reason, systematizing the information related with the green building certification is to be needed in school field as well Therefore the effort to systematize certification management of eco-friendly school and provide information of certificated building, certification application procedure and sources related with certification for convenience is needed. Also reference material to decrease an inefficient time and expenses and to systematize certification evaluation is be able to beneficial. On the study, for such as the purpose above-mentioned, as the appraisal standard with 12 selected schools randomly is arranged. Based on the assessed scores table, features or something in common as a cause of the score change between preliminary and main certification is to be classified and anaylized.

• Education of Primary School Mathematics
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• v.21 no.3
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• pp.261-272
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• 2018

In the current era of mathematics education, constructivism is a core theory of learning. For teachers, understanding and applying constructivism to their teaching practices are crucial for student centered teaching. However, some mathematics educators understand Constructivism in a different way. For example, some future teachers view Constructivism as making mathematics 'fun' by creating game without considering conceptual understanding. In this paper, the original articles of Constructivism were revisited and investigated to understand and to search for their meanings. Also several types and sources of Constructivism were identified; Radical Constructivism, Vygotsky's social-cultural theory of development, Social Constructionism, and Social Constructivism. This paper investigated arguments of the several types of Constructivism and discussed their implications for mathematics teaching.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.181-201
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• 2017

Even though the increasing number of researches of school libraries have grown for the last 36 years, the diverse and practical problems of school libraries and teaching librarians have not been addressed to the proper solutions. This article presents an overview of the characteristics and tendency of researches using the method of systematical review in order to check the assumptions and research consequences of school libraries and teaching librarians. Results show that survey study reviewing or comparing certain cases is the most common types of research methods, and that the majority of studies that relied only on prior studies or secondary data from other sources to make their claims and rarely specify the five criteria validating study process and methodological reliability. Some research questions for future study including necessity of change in problem-solving perspective are provided.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.359-368
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• 2013

Mashup is a web application that combines several different sources to create new services using Open APIs(Application Program Interfaces). Although the mashup has become very popular over the last few years, there are several challenging issues when combining a large number of APIs into the mashup, especially when composite APIs are manually integrated by mashup developers. This paper proposes a novel algorithm for automatic Open API composition. The proposed algorithm consists of constructing an operation connecting graph and searching composition candidates. We construct an operation connecting graph which is based on the semantic similarity between the inputs and the outputs of Open APIs. We generate directed acyclic graphs (DAGs) that can produce the output satisfying the desired goal. In order to produce the DAGs efficiently, we rapidly filter out APIs that are not useful for the composition. The algorithm is evaluated using a collection of REST and SOAP APIs extracted from ProgrammableWeb.com.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.39-39
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• 2012

Data assimilation techniques have received growing attention due to their capability to improve prediction in various areas. Despite of their potentials, applicable software frameworks to probabilistic approaches and data assimilation are still limited because the most of hydrologic modelling software are based on a deterministic approach. In this study, we developed a hydrological modelling framework for sequential data assimilation, namely MPI-OHyMoS. MPI-OHyMoS allows user to develop his/her own element models and to easily build a total simulation system model for hydrological simulations. Unlike process-based modelling framework, this software framework benefits from its object-oriented feature to flexibly represent hydrological processes without any change of the main library. In this software framework, sequential data assimilation based on the particle filters is available for any hydrologic models considering various sources of uncertainty originated from input forcing, parameters and observations. The particle filters are a Bayesian learning process in which the propagation of all uncertainties is carried out by a suitable selection of randomly generated particles without any assumptions about the nature of the distributions. In MPI-OHyMoS, ensemble simulations are parallelized, which can take advantage of high performance computing (HPC) system. We applied this software framework for several catchments in Japan using a distributed hydrologic model. Uncertainty of model parameters and radar rainfall estimates is assessed simultaneously in sequential data assimilation.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.253-262
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• 2018

Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.169-190
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• 2019

This study aims to identify the effects of teachers' recognition and application of 2015 revised national curriculum on their educational information needs in high schools. Several in-depth interviews and a questionnaire survey with the teachers, who were in charge of teaching common courses, such as Korean language, mathematics, English, social studies, and science, in general public high schools in Incheon, were executed for the purpose. As a result, the teachers' recognition and application affected their educational information needs in part. Especially, new demands on small sized copies and learning information sources were identified which were related to the application of 2015 revised national curriculum. Based on the results, we proposed several improvements of school library operations, such as small sized local consortium for sharing resources and providing referral services, in order to strengthen the gateway role of school libraries.