• Journal of The Korean Association of Information Education
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• v.17 no.2
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• pp.177-189
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• 2013

According to a comparison study of international academic achievements, Korean students showed high academic achievements in science and mathematics, whereas their learning motivation appeared relatively low. Therefore, this work developed the robot-based STEM integrated education program reflecting an engineering class model. The title of the program is determined as 'animals' which are included in one section of the fourth grade science curriculum, are friendly to students, and are effective for robot application. Robot-based STEM program is consisted of three areas: robot education, subject-related course learning, and engineering education. The STEM program was reviewed by 14 teachers. The study result presented that regardless of knowledge of robot, most teachers gave positive response to program goal, composition of contents, application of robot.

• Journal of Korean Home Economics Education Association
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• v.11 no.2
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• pp.51-63
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• 1999

For Korean education to be able to handle increasing knowledge and new values in the 21st century, it needs to change. Korean education needs various teaching methods. At the present, CAI, multimedia, interact video system and computer communication are being used. Compared to the traditional teaching methods, computer-assisted instructions were reported to be more effective. The students’demands for these kind of lessons are adamant and increasing. In this study, an attempt was made to develop “child-development and parent education”using CAI program. This chapter is in high demand for high school students. This study model was developed help the students’understanding and make their learning easier. A lesson plan was proposed using CAI program which was developed by authors with assistance of professional computer programmers. The CAI program includes following curriculum contents：1. Child development, 2. the meaning of parenthood, 3. pregnancy, 4. delivery, 5. abortion. The CAI program was designed to allow students to participated activity in several current issue related with parenthood and aborting problems. This study ultimately aimed to show students moving pictures, animation, vivid photos, and music to motivate them. Another goal was to help the Home Economics teachers give lessons using CAI and to show an example of the teaching model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.69-78
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• 2018

When it comes to the value of modern education, teachers are required to perform the role of a helper to promote interaction between learners, the role of a manager to facilitate smooth learning, and the role of a guide who has expert knowledge in the learning contents. Therefore, this study investigated what kind of learner-centered teaching methods there are, which require teachers to perform the roles of helper, manager, and guide, and conducted a pedagogical research on coding education to explore class models for self-directed learning. Subsequently, a class model was proposed by applying the flipped learning and havruta learning to a coding class. In this study, the learner-centered education methods of flipped learning and havruta method were applied to constructing a coding class as a university general education course. The feature of this class is that it enables dynamic interaction between teachers and learners as well as active interaction between leaners in a classroom instruction. After applying the proposed method to the actual class and analyzing it, the students taught using suggested method were more positively assessed in learning interest than those taught using a traditional method. And that in academic achievement as well, suggested method was more effective.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.1
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• pp.31-40
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• 2016

The purpose of this study is to dimensionally examine the factors of policy changes by applying the ACMS model to KEPCO's structural reorganization privatization policies and study its implications. As a result of the analysis, among the external variables that affect as a financial source or restriction to advocates, all areas except for the difference in opinion of the people as well as policy decision and effects of other subordinate systems were shown to be in an advantageous condition acting as a financial source to advocates of structural reorganization privatization. On the other hand, advocates affected by the external variables share a certain belief system in which the advocates of privatization share the justification of profitability while the advocates of collectivization share the justification of publicness. In these flows, the announcement of the privatization plan of public enterprises of the committee of planning and budgeting acts as a matter of contact which opens the windows for policy changes, and this window goes through ignition, explosion, and fixation which causes fierce interactions among advocates of both sides. Eventually, in accordance with the contents of excluding electricity(KEPCO) from the list for privatization the window for policy changes has closed and things have changed to a transitional KEPCO privatization policy. Based on this, the first implication is that non-official participants such as the people, social organizations, labor unions, etc. influence policy changes more than they did before. Secondly, in the process of policy changes, there is an order of boundary even in the fierce interactions between each advocate. Thirdly, specific variables can play various roles in complex policy phenomenon. Fourthly, a logical analysis using the ACMS model is possible in Korea as well. Fifthly, as a result of analyzing the change process of the KEPCO structural reorganization privatization policy through the ACMS model, not all matched with the main research results implied by the ACMS model.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.313-322
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• 2009

Recently, According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer patterns in automotive market with data mining using association rule and basic statics methods. With 4he help of information technology.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.318-325
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• 2010

This study is to examine loyalty building model which reflected differentiated traits of professional service to establish strong loyalty for gaining competitive edge. Professional service is where consumer can not easily predict the result of service as well as other common traits. It also has trait that is difficult to evaluate service satisfaction and quality even after using the service because knowledge imbalance between service provider and user is great. Therefore, in professional service, satisfaction and emotion that consumer perceives in the service use process will play critical role in loyalty formation. As a result, the model of this study divided dimension into responsiveness satisfaction which is satisfaction dimension of professional service use process, interaction satisfaction, technical satisfaction and structurally examined the relationship between emotional commitment and cognitive commitment and the relationship between dimension of commitment and loyalty. The analysis result show that dimension of satisfaction which perceived in professional service use process increases both emotional commitment and cognitive commitment and these commitments effect to loyalty formation.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.942-946
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• 2007

The new gravity field combination models are expected to improve the knowledge of the Earth's global gravity field. This study evaluates six global gravity field models derived from gravimetry and altimetry surface data in a comparison with ground truth in South Korea. For calculating a more accurate estimate of the geoid heights from the height anomalies, the terrain corrections due to the terrain masses over geoid have considered, the model for the topographic correction is a spherical harmonic expansion of the ETOPO2 DTM model. Geoid heights obtained from GPS and levelling in land area of South Korea are compared with those from the EGMs. The results show that EIGEN-CG03C EGM and EIGEN-GL04C EGM displayed the nearest results to GPS/leveling, and also confirmed the importance of terrain correction for geoid height in case of the uneven topography.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1419-1425
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• 2017

The ultimate goal of legal knowledge search is to obtain optimal legal information based on laws and precedent. Text mining research is actively being undertaken to meet the needs of efficient retrieval from large scale data. A typical method is to use a word embedding algorithm based on Neural Net. This paper demonstrates how to search relevant information, applying Korean law information to word embedding. First, we extracts reference laws from precedents in order and takes reference laws as input of Law2Vec. The model learns a law by predicting its surrounding context law. The algorithm then moves over each law in the corpus and repeats the training step. After the training finished, we could infer the relationship between the laws via the embedding method. The search performance was evaluated based on precision and the recall rate which are computed from how closely the results are associated to the search terms. The test result proved that what this paper proposes is much more useful compared to existing systems utilizing only keyword search when it comes to extracting related laws.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.513-519
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• 2018

The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.685-696
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• 2022

This study explores convergence curriculum for design and data science, and applies data science knowledge on undergraduate design classes for designer's data literacy. First, related studies about data literacy education for non-data science major's, and data driven design project cases are explored, then design competency and data competency based on NCS are studied. Then this study developed 3 step design-data convergence curriculum model for designers' data literacy. The curriculum model is applied on case study classes, which are Big data and UX design(2) classes. The learning results and student's feedback of the case study classes are collected and analyzed to prove the design-data convergence curriculum, and the results provide findings and implications of the design-data convergence class case study.