• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.508-516
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• 2016

This study was conducted to investigate the fitness of major courses according to the development and application of new curricula based on the NCS (National Competency Standards) of health-related departments at junior colleges. To accomplish this, 300 students of the health-related departments at junior colleges were surveyed from March 11 to March 30, 2016. The overall findings showed that their awareness of NCS, intent of integration and understanding of curriculum contents had a significant effect on the fitness for linkage and combination with existing education. Competency unit elements based on the newly developed NCS (job, work, qualification and training standardization of major courses) were linked with existing education. And students - who accept this - are rapidly assimilated into the new curriculum contents. In particular, they have a high understanding of the integrated development of standardized curricula between three major departments, unlike existing textbooks. In conclusion, the high perception and understanding of knowledge integration education are expected to have a positive effect on healthcare education, establishing an early health-related NCS system in the future, and improving site fitness for development of the contents of NCS.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6475-6482
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• 2015

The purpose of the study was two folded: to examine whether form-focused instruction (FFI) with corrective feedback (CF) is effective for the acquisition of the target linguistic forms and to find out the extent to which of the students' perceptions as well as their attitudes towards English instruction that they received. Tests and questionnaires were implemented to 122 Korean EFL students from eight classes enrolled in an English communication course. They were randomly assigned to three groups: the input-based group, who received typographical input enhancement materials, so-called the TIE group, the output-based group, who performed dictogloss tasks, so-called the DICT group, and the control group (CG). The data analysis was made on both tests and questionnaires by using SPSS 21.0 for Windows. The study found that different types of FFI with CF contributed to the improvement of students' grammatical knowledge and both the TIE and DICT task group students positively changed their perceptions and understanding as well as their attitudes towards the English instruction given, and students in all groups preferred pair work activities. In addition, most of the TIE and DICT students showed their interest and satisfaction with English class, whereas the CG group students did not. Based on the findings, this study suggested that well-planned and properly-chosen FFI in the form of pair work activities should be applied in classrooms with consideration of students' instructional preference in Korean EFL contextual settings.

• Journal of KIISE:Software and Applications
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• v.33 no.9
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• pp.787-801
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• 2006

Ontology merging describes the process of integrating two ontologies into a new ontology. How this is done best is a subject of ongoing research in the Semantic Web, Data Integration, Knowledge Management System, and other ontology-related application systems. Earlier research on ontology merging, however, has studied for developing effective ontology matching approaches but missed analyzing and solving methods of problems of merging two ontologies given correspondences between them. In this paper, we propose a specific ontology merging process and a generic operator, T-MERGE, for integrating two source ontologies into a new ontology. Also, we define a taxonomy of merging conflicts which is derived from differing representations between input ontologies and a method for detecting and resolving them. Our T-MERGE operator encapsulates the process of detection and resolution of conflicts and merging two entities based on given correspondences between them. We define a data structure, MergeLog, for logging the execution of T-MERGE operator. MergeLog is used to inform detailed results of execution of merging to users or recover errors. For our experiments, we used oriental philosophy ontologies, western philosophy ontologies, Yahoo western philosophy dictionary, and Naver philosophy dictionary as input ontologies. Our experiments show that the automatic merging module compared with manual merging by a expert has advantages in terms of time and effort.

• Journal of KIISE
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• v.42 no.4
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• pp.451-458
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• 2015

Previous multimodal learning methods focus on problem-solving aspects, such as image and video search and tagging, rather than on knowledge acquisition via content modeling. In this paper, we propose the Multimodal Concept Hierarchy (MuCH), which is a content modeling method that uses a cartoon video dataset and a character-based subtitle generation method from the learned model. The MuCH model has a multimodal hypernetwork layer, in which the patterns of the words and image patches are represented, and a concept layer, in which each concept variable is represented by a probability distribution of the words and the image patches. The model can learn the characteristics of the characters as concepts from the video subtitles and scene images by using a Bayesian learning method and can also generate character-based subtitles from the learned model if text queries are provided. As an experiment, the MuCH model learned concepts from 'Pororo' cartoon videos with a total of 268 minutes in length and generated character-based subtitles. Finally, we compare the results with those of other multimodal learning models. The Experimental results indicate that given the same text query, our model generates more accurate and more character-specific subtitles than other models.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.7
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• pp.303-310
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• 2013

As the role of software increases in computing environments, issues in software security become more important problems. Dynamic taint analysis is a technique to trace and manage tainted data originated from unreliable sources during the execution of a program. This analysis can be applied to software security verification as well as software behavior understanding, testing unexpected errors, or debugging. In the previous researches, they focussed only to show the analysis results of dynamic taint analysis, and they did not logically describe propagation process of tainted data and analysis procedures. So, there were difficulties in understanding the analysis procedures or applying to other analysis. In this paper, by theoretically describing the analysis procedure, we logically show how the propagation process of tainted data can be traced, and present a theoretical model for dynamic taint analysis. In addition, we verify the correctness of the proposed model by implementing an analyser, and show that propagation of tainted data can be traced by the model. The proposed model can be applied to understand the analysis procedures of data flows in dynamic taint analysis, and can be used as an base knowledge for designing and implementing analysis method, which applies such analysis method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.425-436
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• 2019

This study constructs independent potential variables that are variables expected to affect child abuse reporting intention of child care teachers. In addition, this study establishes a research model based on the relationships between potential variables according to the results of previous studies and planning behavior theory. The purpose of this study was to examine what factors affect and how reporting intention is determined. The subjects of this study included a convenience sample of nursery teachers working in 67 daycare centers in the C region. The following results were obtained. First, the research model proposed in this study was found to be a suitable model to explain the child abuse teacher's intention to report child abuse through the analysis of the measurement and structural models. Second, the child abuse teacher's knowledge of child abuse is an important factor explaining the reporting intention and has an indirect effect through the mediation. Third, attitudes toward reporting of child care teachers were found to be the most direct factor that predicts reporting intentions. Fourth, subjective norms and reporting intentions of child care teachers were not statistically significant. Bsead on these results, basic data for improving child abuse reporting rate of childcare teachers were presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.30-41
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• 2018

This phenomenological study aims to explore Nursing Students' Experiences who have experienced team-based learning (TBL). The purpose of this study is to contribute to fostering professional nurses required in the clinical field by improving the learning outcomes by applying the TBL classes. The study participants were seven students of the nursing department who took TBL classes in adult nursing classes. The data were collected through participating observations and in-depth interviews, and analyzed using Colaizzi's phenomenological methods. As a result of the study, nine conceptual descriptions and five theme clusters were derived. The major theme clusters for the experiences of students were 'Dedication to best results', 'Self-led learning attitudes are formed', 'Becoming a communal knowledge creator', 'Active class time', and 'Meaningless peer evaluation'. Nine conceptual descriptions were 'Doing one's best to fulfill one's role', 'Preparing for the class with the pre-learning', 'Forming confidence through pre-learning', 'Solving problems through interaction with friends', 'Becoming a mentor to each other', 'Working together to resolve issues', 'Intimacy formed', 'A lively class', and 'Peer evaluation with familiarity'. This study contributes to the improvement of the learning outcomes of the nursing students by enabling learner-centered classes and self-led learning, thereby contributing to fostering the professional nursing manpower required in the clinical field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.564-568
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• 2020

Problem-based learning (PBL) is applied to various subjects for the sake of learners' creative thinking, problem-solving skills, presentation skills, confidence, self-directed learning, cooperation, and for the communication skills required in a rapidly changing society. Among them, the English language-an official language-is invested in 2.3 times more than other subjects, according to the English education company Yoon's Teacher. Therefore, PBL is an important learning method. However, the reality is that teacher-centered instruction, acquiring knowledge of the best answers only, and traditional evaluations are the main subjects. In order to supplement these weak points, this study designed a learning model for English subjects based on Barrows & Myers (2002) and the analyze, design, develop, implement, and evaluate (ADDIE) model. As a result of a PBL English class based on the ADDIE model, the learners were able to improve their presentation skills by 86%, their interest in learning by 86%, their understanding of learning by 86%, and cooperation by 100%. As such, studies on designing the learning model should be carried out continuously to achieve the purpose of 21st century English education, which is to improve learners' communication skills and information processing skills.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.412-425
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• 2008

One of the important elements for improving academic achievement of learners in education through e-learning is to support learners to study by finding questions they want with providing various evaluation questions. However, most of question retrieval systems usually depend on keyword search based on only a syntactical analysis and/or a hierarchical browsing system classified by the topics of subjects. In such a system it is not easy to find integrative questions associated with each other. In order to improve this problem, in this paper we proposed a question management and retrieval system which allows users to easily manage questions and also to effectively find questions for study on the Web. Then, we implemented a system that gives to access questions for the domain of C language programming. The system makes it possible to easily search questions related to not only a single theme but also questions integrated by interrelationship between topics and questions. This is done by supporting to be able to retrieve questions according to conceptual interrelationships between questions from user query. Consequently, it is expected that the proposed system will provide learners to understand the basic theories and the concepts of the subjects as well as to improve the ability of comprehensive knowledge utilization and problem-solving.

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.49-61
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• 2011

In recent, library is considered as an integrated knowledge convergence center that can respond to various requests about information service of users. Therefor it is necessary to establish a novel information system based on information communications technologies of the era. In other words, it is currently required to develop mobile information service available in portable devices such as smart phones or tablet PCs, and to establish information system reflecting cloud computing, SaaS, Annotation, and Library 2.0 etc. In this paper we design and implement a library information system using collective intelligence and cloud computing. This information system can be adapted for the varieties of mobile service paradigm and abruptly increasing amount of electronic materials. Advantages of this concept model are resource sharing, multi-tenant supporting, configuration, and meta-data supporting etc. In addition it can offer software on-demand type user services. In order to test the performance of our system, we perform an effectiveness analysis and TTA authentication test. The average response time corresponding to variance of data reveals 0.692 seconds which is very good performance in timing effectiveness point of view. And we detect maturity level-3 or 4 authentication in TTA tests such as SaaS maturity, performance, and application programs.