• Journal of Gifted/Talented Education
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• v.21 no.3
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• pp.659-682
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• 2011

The objective of this research is to search the solution for the difficulties of science and invention gifted middle school students with social and emotional problems that they are faced. The result of this research has shown that the gifted students were feeling difficulties of low self-esteem in their peer relationships, communication and cooperation skills. They were feeling less confident in their stress processing capacity and their multi-processing capacity. Some were also troubled with the intense expectations from their environment and theirselves which led them to feel confusion in their identities and their future. Therefore, instead of education focused on academic achievement and cognitive activity, present education for the gifted must focus on helping to solve the student's social and emotional problems and to strengthen social and emotional skills they need. To achieve this, the education for the gifted students should include a social-emotional learning program, and it should also run a continued and personalized consultation program for gifted students.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1205-1212
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• 2004

As electronic commerce systems have been widely used, the necessity of adaptive e-commerce agent systems has been increased. These kinds of adaptive e-commerce agents can monitor customer's behaviors and cluster thou in similar categories, and include user's preference from each category. In order to implement our adaptive e-commerce agent system, in this paper, we propose an adaptive e-commerce agent systems consider customer's information of interest and goodwill ratio about preference goods. Proposed system build user's profile more accurately to get adaptability for user's behavior of buying and provide useful product information without inefficient searching based on such user's profile. The proposed system composed with three parts , Monitor Agent which grasps user's intension using monitoring, similarity reference Agent which refers to similar group of behavior pattern after teamed behavior pattern of user, Interest Analyzing Agent which personalized behavior DB as a change of user's behavior.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.43-50
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• 2020

The purpose of this study is to examine the case of constructing information and communication facilities in daycare centers and to propose an educational environment that can foster young talents who can lead the era of the fourth industrial revolution. In particular, after COVID19, a method was proposed to create an information and communication environment suitable for children to receive personalized education, and to create an environment for experiential education if possible, and at the same time to enable averaging of customized learning. Since there has been no research on information and communication facilities in daycare centers, we intend to place significance on starting, and in the future, to foster creative and contextual children, we will reduce the movement of teachers through smart speakers and mobile devices, and tailor the educational environment through AI data. I think that the design of the daycare center should be changed in the direction of making the product. To this end, the CM role of information and communication supervision is needed, and it is hoped that it will become a design standard for daycare centers after COVID19 by developing research on daycare centers.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.53-59
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• 2008

Recently, vision-based hand gesture recognition techniques have been developed for assisting elderly and disabled people to control home appliances. Frequently occurred problems which lower the hand gesture recognition rate are due to the inter-person variation and intra-person variation. The recognition difficulty caused by inter-person variation can be handled by using user dependent model and model selection technique. And the recognition difficulty caused by intra-person variation can be handled by using fuzzy logic. In this paper, we propose multivariate fuzzy decision tree learning and classification method for a hand motion recognition system for multiple users. When a user starts to use the system, the most appropriate recognition model is selected and used for the user.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.4
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• pp.3-12
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• 2009

In recent years, the development of ubiquitous computing environment, according to the time, place, regardless of the environment changes dynamically based on providing a service. In particular, ubiquitous computing environment, education support services in the fields of education according to the principal of each member is required to provide personalized information. Therefore, this paper describes the education support system which provide adaptive information to member of education. The structure of the proposed system consists of mobile agents multi-agent system platform, JADE (Java Agent DEvelopment framework) is based. Also, we describes the design of agents for application services and the interaction model. In this paper, the performance of proposed system to verify availability, classroom teachers, students and parents and administrators as a service application based on the user's role to provide appropriate information system was implemented. Finally, we shows the result of user interface GUIs according to adaptive education services.

• Korean Medical Education Review
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• v.19 no.3
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• pp.134-137
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• 2017

The main points of issue with the former premedical curriculum of Seoul National University College of Medicine (SNUCM) were the absence of educational objectives, decline in student motivation caused by uniform education, students' lack of a sense of belonging, and lack of humanistic education. In accordance with these issues, there were five aspects considered for the improvement of the premedical curriculum: reform based on the newly established educational objectives that corresponds with the 6-year medical school curriculum as a whole, expansion of elective courses and the development of personalized curriculum for the improvement of students' learning motives, expansion of social sciences and humanities curriculum for the development of students' capabilities as good doctors, active participation of medical professors in premedical education, and expansion of informal education and the student support program. According to the assessment done after the implementation of the reformed curriculum, premedical students were gratified with its establishment and management of multifarious liberal arts and major subjects. In preparation of the more rigorous entrance quota of the premedical school at SNUCM, there is ongoing reform of required major subjects and establishment of new subjects in the premedical curriculum in pursuit of unity with the 6-year medical curriculum. Moreover, there is ongoing development of an e-portfolio system for the association of premedical and medical education, integration of formal and informal curriculum, and reinforcement of student observation and formative evaluation. Further discussion on the assessment and betterment of premedical curriculum is needed.

• KIISE Transactions on Computing Practices
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• v.21 no.11
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• pp.706-712
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• 2015

These days, much information is provided as a list of summaries through mobile services. In this regard, users consume information in which they are interested by observing the list and not by expressing their interest explicitly or implicitly through rating content or clicking links. Therefore, to appropriately model a user's interest, it is necessary to detect latent interest content. In this study, we propose a method for reasoning latent interest of a user by analyzing mobile content consumption logs of the user. Specifically, since erroneous reasoning will drastically degrade service quality, a unanimity ensemble method is adopted to maximize precision. In this method, an item is determined as the subject of latent interest only when multiple classifiers considering various aspects of the log unanimously agree. Accurate reasoning of latent interest will contribute to enhancing the quality of personalized services such as interest-based recommendation systems.

• The Journal of Information Technology
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• v.6 no.1
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• pp.21-38
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• 2003

The college and university is a knowledge-centered organization, and 'knowledge' is the important strategic resource. Although this organization composed entirely of the knowledge worker that is able to use the knowledge in the most efficient and effective method, our university is not enough to manage the knowledge as strategic advantage. So, we need to implement knowledge management system under knowledge community centered in students, faculty and staff. The well-designed knowledge community can produce a new value and profit that can develope the university organization. We used to the portal technology defined as a personalized, single point of access through a web browser to various information located inside and outside of an university Knowledge portal supporting the activities of knowledge community will improve the knowledge transfer in student's learning activity, the knowledge creation in faulty's research activity, the knowledge sharing amount the various communities, and the accumulation of a process knowledge in operation and management. Eventually, a redesigned knowledge portal-based system will create a new value of university.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.39-45
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• 2018

Twitter users use 'Following', 'Retweet' and so on to find tweets that they are interested in. However, it is difficult for users to find tweets that are of interest to them on Twitter, which has more than 300 million users. In this paper, we developed a customized tweet recommendation system to resolve it. First, we gather current trends to collect tweets that are worth recommending to users and popular tweets that talk about trends. Later, to analyze users and recommend customized tweets, the users' tweets and the collected tweets are categorized. Finally, using Web service, we recommend tweets that match with user categorization and users whose interests match. Consequentially, we recommended 67.2% of proper tweet.