• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.79-89
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• 2013

ATCIS (Army Tactical Command Information System) provides commanders and staff officers the battlefield information that is reported by tactical echelons under an army corps and the commanders make decisions based on the information by using their experience and specialty in military domain. If ATICS can automatically understand the reported information from rapidly changing battlefield and provide new knowledge that can support decision making, the commanders would be able to make faster and more accurate decision. In this paper, therefore, we propose an intelligent ATCIS using a national defense ontology. To this end, we built the national defense ontology by analyzing the electronic field manuals and ATCIS database, and then we defined military knowledge for decision making as a form of rule by interviewing several staff officers from different fields. In order to show how to apply the ontology and rules to decision making support for the commanders, we implemented a decision support service to estimate the possibility of enemy's provocation by using semantic web technologies.

• Journal of The Korean Association For Science Education
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• v.33 no.5
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• pp.1041-1054
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• 2013

Big ideas are overarching principles that help students to build a holistic understanding of domain-specific knowledge and assimilate individual facts and theories. This study aims to design a standard-based integrated science curriculum framework based on Big Ideas. The core contents were extracted by analysing the 2009 National Science Standards curriculum of primary and middle schools. Four Big Ideas, 'diversity,' 'structure,' 'interaction,' and 'change,' were generated after the process of examination and categorization of core contents. The scientific facts, disciplinary concepts, and interdisciplinary concepts of every scientific domains included in each Big Idea are represented as a knowledge pyramid. Essential questions guiding the direction of curriculum design were proposed on each Big idea. Based on the framework, teaching modules for 'structure' were developed for grades 5~6.

• The KIPS Transactions:PartD
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• v.10D no.2
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• pp.247-260
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• 2003

To share and standardize information, especially in the database environments, MDR (Metadata Registry) can be used to integrate various heterogeneous databases within a particular domain. But due to the discrepancies of data element representation between organizations, global information integration is not so easy. And users who are searching integrated information on the Web have limitation to obtain schema information for the underlying source databases. To solve those problems, in this paper, we present a 3-layered Information Integration System (LI2S) based on MDRs and Ontology. The purpose of proposed architecture is to define information integration model, which combine both of the nature of MDRs standard specification and functionality of ontology for the concept and relation. Adopting agent technology to the proposed model plays a key role to support the hierarchical and independent information integration architecture. Ontology is used as for a role of semantic network from which it extracts concept from the user query and the establishment of relationship between MDRs for the data element. (MDR and Knowledge Base are used as for the solution of discrepancies of data element representation between MDRs. Based on this architectural concept, LI2S was designed and implemented.

• Knowledge Management Research
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• v.21 no.4
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• pp.287-300
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• 2020

We investigate empirically the impact of IT exploration & exploitation capability and operational capability upon organizational agility, especially small and medium sized firms in the logistics industry in South Korea. Based on literature on the bilateral relationship between organizational agility and IT capability, we follow the established research model and propose hypotheses. This work takes an empirical methodology to test the hypotheses: design survey questionnaires, collect data, test reliability and validity of data, and finally test the hypotheses. Our results based on the data collected in 2018 present that IT exploration & exploitation capability significantly increases operational capability, and operational capability increases organizational agility. We find our contribution in updating previous research findings with recent data and in expanding the domain of research more specifically into small and medium sized firms in logistics industry in South Korea. Practically our work suggests that managers and policy makers should consider both fostering newly emerging IT exploration and existing IT resource exploitation capability in order to enhance organizational agility of those small and medium sized firms in logistics industry.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.429-437
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• 2022

Recently, the demand for a QA (Question Answering) system for human-machine communication has increased. Among the QA systems, a closed domain QA system that can handle spatial-related questions is called GeoQA. In this study, a new type of graph database, LPG (Labeled Property Graph) was used to overcome the limitations of the RDF (Resource Description Framework) based database, which was mainly used in the GeoQA field. In addition, GraphQL (Graph Query Language), an API-type query language, is introduced to address the fact that the LPG query language is not standardized and the GeoQA system may depend on specific products. In this study, database was built so that answers could be retrieved when spatial-related questions were entered. Each data was obtained from the national spatial information portal and local data open service. The spatial relationships between each spatial objects were calculated in advance and stored in edge form. The user's questions were first converted to GraphQL through FOL (First Order Logic) format and delivered to the database through the GraphQL server. The LPG used in the experiment is Neo4j, the graph database that currently has the highest market share, and some of the built-in functions and QGIS were used for spatial calculations. As a result of building the system, it was confirmed that the user's question could be transformed, processed through the Apollo GraphQL server, and an appropriate answer could be obtained from the database.

• Journal of Korean Elementary Science Education
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• v.43 no.1
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• pp.95-107
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• 2024

In this study, we explored the mediating effect of grit in the relationship between elementary school science teachers' perceived personal pedagogical content knowledge (pPCK) and enacted pedagogical content knowledge (ePCK). Drawing on insights from a review of the literature, we developed a research hypothesis model that set pPCK, ePCK, and grit as latent variables. Pearson correlation was conducted to examine the interrelationships among the latent variables. Structural equation modeling (SEM) was then employed to analyze the model fit. Additionally, bootstrap analysis was performed to specifically investigate the mediating effect of grit in the relationship between pPCK and ePCK. The Pearson correlation analysis indicated statistically significant correlations among the measurement variables. Meanwhile, the SEM analysis revealed that the measurement model aligned with the research hypothesis model. Furthermore, the bootstrap analysis demonstrated that grit had a statistically significant mediating effect in the relationship between elementary school science teachers' perceived pPCK and ePCK. These findings quantitatively examine the importance and impact of grit in the teacher expertise domain, providing valuable insights for the development of teachers' expertise and teacher education research within elementary school science classes.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.9
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• pp.3973-3980
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• 2014

Prostate adenocarcinoma is one of the leading causes of cancer related mortality in men but still limited knowledge is available about its associated functional SNPs including rs1042522 (Pro72Arg). The present study was undertaken to explore the association of this SNP with susceptibility to prostate adenocarcinoma along with its structural and functional impacts in the Pakistani population in a case-control study. Three-dimensional structure of human TP53 with Pro72Arg polymorphism was predicted through homology modeling, refined and validated for detailed structure-based assessment. We also carried out a HuGE review of the previous available data for this polymorphism. Different genetic models were used to evaluate the genotypes association with the increased risk of PCa (Allelic contrast: OR=0.0.34, 95%CI 0.24-0.50, p=0.000; GG vs CC: OR=0.17, 95%CI 0.08-0.38, p=0.000; Homozygous: OR=0.08, 95%CI 0.04-0.15, p=0.000; GC vs CC: OR=2.14, 95%CI 1.01-4.51, p=0.046; Recessive model: OR=0.10, 95%CI 0.05-0.18, p=0.000; Log Additive: OR=3.54, 95%CI 2.13-5.89, p=0.000) except the Dominant model (OR=0.77, 95%CI 0.39-1.52, p=0.46). Structure and functional analysis revealed that the SNP in the proline rich domain is responsible for interaction with HRMT1L2 and WWOX. In conclusion, it was observed that the Arg coding G allele is highly associated with increased risk of prostate adenocarcinoma in the Pakistani population (p=0.000).

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.87-101
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• 2016

This study analyzes the content validity of descriptive tests developed for elementary schools, in order to acquire basic data to improve them. Various descriptive tests were collected and tested for differences in proportions between two-dimensional classification of educational objectives and the level of behavioral objectives. Results show that the descriptive tests developed by elementary school teachers mainly focused on "knowledge" and "understanding," and that content validity for behavioral levels to be low. Nine elementary school teachers were interviewed to understand the result. From the interviews, we found both internal and external factors that cause low content validity. The main internal factors were teachers' ability to make two-dimensional classification of educational objectives, the teachers' consideration of students' level, item level of difficulty, the ease of scoring, and path dependence. The main external factors were curriculum, parents, and administration. Based on the results, we suggested the factors related to elementary school teachers' PCK of descriptive tests.

• School Mathematics
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• v.17 no.2
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• pp.309-329
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• 2015

This study is to provide didactical implications for teaching and learning of radian through a analysis of investigation result about pre-service teachers' understanding of radian. The results of this study are as follows. First, pre-service teachers understood the radian as ${\frac{180^{\circ}}{\pi}}$, rather than as the definition. Secondly, the definition style of radian affected the problem solving strategy for the measurement of the angle. Thirdly, pre-service teachers had insufficient content knowledge about properties of measurement as a pure number of radian. Lastly, They failed to describe the usefulness of circular measure. We suggested the definition of radian in textbooks should be changed from ${\frac{180^{\circ}}{\pi}}$ to mathematical definition of radian. And the general angle should be stated as the reason why the domain of trigonometric function is real numbers.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.59-69
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• 2020

The purpose of this study is to design the framework of evaluation on learner's cognitive skill for artificial intelligence(AI) education through computational thinking. To design the rubric and framework for evaluating the change of leaner's intrinsic thinking, the evaluation process was consisted of a sequential stage with a) agency that cognitive learning assistance for data collection, b) abstraction that recognizes the pattern of data and performs the categorization process by decomposing the characteristics of collected data, and c) modeling that constructing algorithms based on refined data through abstraction. The evaluating framework was designed for not only the cognitive domain of learners' perceptions, learning, behaviors, and outcomes but also the areas of knowledge, competencies, and attitudes about the problem-solving process and results of learners to evaluate the changes of inherent cognitive learning about AI education. The results of the research are meaningful in that the evaluating framework for AI education was developed for the development of individualized evaluation tools according to the context of teaching and learning, and it could be used as a standard in various areas of AI education in the future.