• Journal of Korean Elementary Science Education
• /
• v.35 no.3
• /
• pp.305-315
• /
• 2016

The purpose of this paper was to analyze the role of illustrations in elementary textbooks (3~4 grade) of the 2009 revised curriculum of science education in Korea from point of view of aim of science by applying the criteria of 5E inquiry process model for reflecting core aim of the science education. The subjects of the paper was the 105 illustrations in the earth-science domain of elementary science textbooks (3~4 grade) of the 2009 revised curriculum of science education in Korea. The analysis criterion was of two categories, the function of illustration and the role of illustration. the function of illustration was divided into three subcategories such as Exclusiveness type, correspondence type and supplementary type. The role of illustration was divide into five subcategories such as Engagement, Exploration, Explanation, Elaboration and Evaluation. According to results of the illustration analysis are as follows: the result of the function of illustration are exclusiveness type 39, correspondence type 36 and supplementary type 30, the important of point to note is that there are a lot of exclusiveness type considerably. compared with other subjects, this fact indicate character of illustration of the only science textbook. The result of the role of illustration are Engagement 14, exploration 64, explanation 25, elaboration 2 and evaluation 0. This data indicate main role of illustrations in earth-science domain is to help the students to be able to observe and explore. Cross-analysis of the function and role was a significant difference. Role of illustration was evenly distributed within Exclusiveness type on the other hand, the role of illustrations was mainly exploration and explanation in correspondence and supplementary type. Especially, illustration of exploration was mainly correspondence type.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.3
• /
• pp.185-190
• /
• 2018

In the recent field of education, they open career-related curriculums either as formal curricular programs or extracurricular programs as highlighting value of career education. However, this lecture-based career education has failed to attract students' interest, and results are not satisfactory either. Since then, in order to design entertaining career education, the field has developed diverse tools and as a vocational aptitude testing tool for career development, methods that would use vocational cards were introduced. Today, schools from elementary school to middle and high schools frequently make use of the cards to conduct the vocational aptitude test and yet, as this web-based learning and smartphones are distributed, changes in the testing tool are being intensely demanded. This study aims to create and implement an application to help the vocational cards-using vocational aptitude test targeting students in elementary, middle and high schools to be actually conducted in a mobile platform.

• KIISE Transactions on Computing Practices
• /
• v.23 no.12
• /
• pp.698-702
• /
• 2017

Since the introduction of Deep Neural Networks to the Natural Language Processing field, two major approaches have been considered for modeling text. One method involved learning embeddings, i.e. the distributed representations containing abstract semantics of words or sentences, with the textual context. The other strategy consisted of composing the embeddings trained by the above to get embeddings of longer texts. However, most studies of the composition methods just adopt word embeddings without consideration of the optimal embedding unit and the optimal method of composition. In this paper, we conducted experiments to analyze the optimal embedding unit and the optimal composition method for modeling longer texts, such as documents. In addition, we suggest a new discourse-based composition to overcome the limitation of the sequential composition method on composing sentence embeddings.

• KIISE Transactions on Computing Practices
• /
• v.23 no.5
• /
• pp.310-315
• /
• 2017

In a centralized control structure, the software defined network controller manages all openflow enabled switched in a data plane and controls the telecommunication between all hosts. In addition, the network manager can easily deploy the network function to the application layer with a software defined network controller. For this reason, many methods for network management using a software defined network concept have been proposed. The main policies for network management are related to traffic Quality of Service and resource management. In order to provide Quality of Service and load distribution for network users, we propose an efficient routing method using a naive bayesian algorithm and transmission delay estimation module. In this method, the forwarding path is decided by flow class and estimated transmission delay result in the software defined network controller. With this method, the load on the network node can be distributed to improve overall network performance. The network user also gets better dynamic Quality of Service.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.11
• /
• pp.403-409
• /
• 2016

Recently, harmful content (such as images and photos of nudes) has been widely distributed. Therefore, there have been various studies to detect and filter out such harmful image content. In this paper, we propose a new method using Haar-like features and an AdaBoost algorithm for robustly extracting navel areas in a color image. The suggested algorithm first detects the human nipples through color information, and obtains candidate navel areas with positional information from the extracted nipple areas. The method then selects real navel regions based on filtering using Haar-like features and an AdaBoost algorithm. Experimental results show that the suggested algorithm detects navel areas in color images 1.6 percent more robustly than an existing method. We expect that the suggested navel detection algorithm will be usefully utilized in many application areas related to 2D or 3D harmful content detection and filtering.

• The KIPS Transactions:PartB
• /
• v.13B no.5 s.108
• /
• pp.533-540
• /
• 2006

The semantic web environment promise semantic search of heterogeneous data from distributed web page. Semantic search would resuit in an overwhelming number of results for users is increased, therefore elevating the need for appropriate personalized ranking schemes. Culture Finder helps semantic web agents obtain personalized culture information. It extracts meta data for each web page(culture news, culture performance, culture exhibition), perform semantic search and compute result ranking point to base user profile. In order to work efficient, Culture Finder uses five major technique: Machine learning technique for generating user profile from user search behavior and meta data repository, an efficient semantic search system for semantic web agent, query analysis for representing query and query result, personalized ranking method to provide suitable search result to user, upper ontology for generating meta data. In this paper, we also present the structure used in the Culture Finder to support personalized search service.

• Journal of the Korea Convergence Society
• /
• v.9 no.1
• /
• pp.205-212
• /
• 2018

The purpose of this study is to examine an influence of university students' openness to diversity on career preparation behavior, unlearning, and the mediating effect of unlearning. The survey questionnaire was distributed to 258 university students and SPSS 22.O program was used for statistical analysis of the data. The results of this study are as follows: First, openness to diversity has a positive effect on career preparation behavior and unlearning. Second, unlearning also has a positive effect on career preparation behavior. Third, unlearning has a partial mediating effect between openness to diversity and career preparation behavior. These results show that the more students enhance their openness to diversity and unlearning, the more students develop their career preparation behavior.

• Korean Medical Education Review
• /
• v.20 no.3
• /
• pp.164-172
• /
• 2018

The aim of this study is to determine whether the 65 competencies, defined in "the role of Korean doctor, 2014", are suitable for basic medical education phase in Korea. It seeks to analyze the gap among the educational reality and expectation, assessment situation of the competencies above. We also try to define issues of the development, application and assessment phases of competency-based medical education (CBME) at individual medical schools. We designed survey tools based on the Miller's assessment pyramid (knowledge, explanation, demonstration, and performance) for each of the 65 competencies. The survey distributed to 41 medical schools in April 2015 and 38 replies were received (92.7%). Competencies that matched both the educational reality and expectation were numbers 1 (patient care), 33 (social accountability), and 49 (professionalism). However, all the other competencies ranked lower in current status than that of desirable level. 54 out of 65 competencies (83.07%) remained at the knowledge and explanation level when each competence were assessed. In the development, application, and assessment phases of CBME, common issues that medical schools commonly noted were difficulty linking competencies to curriculum preparation and student assessment, the lack of faculty's understanding, difficulty to reach consensus among faculties, and absence of teaching and learning methods and assessment tools that fits CBME. For the successful settle down of CBME, there is a need for efforts to develop the model of graduate outcomes, to share information and experience, and to operate faculty development program by the medical education communities.

• Journal of Korean Library and Information Science Society
• /
• v.23
• /
• pp.1-27
• /
• 1995

The purpose of this study is twofold: to investigate into general characteristics of the networks in Korea as a new information technology and to discuss general directions of development of the use of the Internet. This study is designed to achieve the purpose by gathering and analysing data related to the use of Internet of librarians those who work in public libraries and research and development libraries and university libraries. The major conclusions made in this study is summarized as follows. (1) From this survey, received detailed response from 69 librarians, the majority (42) from research and development libraries. The majority (56) were from Library and Information Science subject area, half of them (37) hold advanced degrees. (2) Majority (40) have accessed Internet for one year or less, 9(17%) respondents for two years, 17(32%) spend every day Internet related activity. (3) 44.9% of the respondents taught themselves. 28.9% learned informally from a colleague. Formal training from a single one-hour class to more structured learning was available to 30.4%. (4) The most common reason respondents use the Internet are to access remote database searching(73.9%), to communicate with colleagues and friends and electronic mail(52.2%), to transfer files and data exchange(36.2%), to know the current research front(23.2%). They search OPACs for a variety of traditional task-related reasons(59.4%) and to see what other libraries are doing with their automated systems(31.9%). (5) Respondents for the most part use the functions : WWW (68. 1%), E-Mail(59.4%), FTP(52.2%), Gopher(34.8%), Wais(7.2%). (6) Respondents mentioned the following advantages : access to remote log-in database, an excellent and swift communications vehicle, reduced telecommunication cost, saving time. (7) Respondents mentioned the following disadvantages : low speed of communication, difficult of access to the relevant information and library materials, and shortage of database be distributed within Korea.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.2
• /
• pp.511-519
• /
• 2016

The purpose of this study was to examine the effects of motivation for the selection of major and satisfaction in the major on the adaption of university life among university students and to present basic data to assist in the healthy adaption of university life. A survey was given to university students in Seoul and Chungcheong cities from October 13 to October 27, 2015 of 250 copies of the questionnaire distributed, a total of 242 copies were in the final analysis. For data analysis, SPSS 21.0 for Windows was used. As a result, there were correlations among the variables, the adaption of University life of university students was affected by the personal motivation, social motivation for the selection of major with the largest effect being class satisfaction. The explanatory power was 38%. In conclusion, it is important to develop teaching and learning programs and counselling students considering class satisfaction for improving the adaption to university life.