• Journal of Korean Elementary Science Education
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• v.33 no.3
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• pp.510-523
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• 2014

Modern society is rapidly changing in the fields of science and technology, with new information and knowledge constantly being discovered. So enhancing the creativity and positive attitude of students is important. STEAM education enables students to develop their creativity, personality, intelligence and sensitivity with a well-balanced curriculum. In this study, considering the student's interest, a theme-centered STEAM program was developed in the 'Strata and Fossils' unit of elementary 4th grade science. The purposes were to find the impact on the academic achievement, creative problem solving abilities, and scientific attitude of elementary school students. The STEAM program are composed of contents which can be applied effectively indoors. As application results for STEAM program to J elementary school's students in J province, the experimental group increased significantly in the academic achievement, creative problem solving abilities and scientific attitude compared to the control group. Therefore, it is necessary to be developed continuous and systematic STEAM programs in units of various subjects to improve the students' academic achievement, creative problem solving abilities and scientific attitude.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.67-76
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• 2020

Because of the development and spread of artificial intelligence (AI) technology, new security threats and adverse AI functions have emerged as a real problem in the process of diversifying areas of use and introducing AI-based products and services to users. In response, it is necessary to develop new AI-based technologies in the field of information protection and security. This paper reviews topics such as domestic and international trends on false information detection technology, cyber security technology, and trust distribution platform technology, and it establishes the direction of the promotion of technology development. In addition, the development of international trends in ethical AI guidelines to ensure the human-centered ethical validity of AI development processes and final systems in parallel with technology development are analyzed and discussed. ETRI has developed AI policing technology, information protection, and security technologies as well as derived tasks and implementation strategies to prepare ethical AI development guidelines to ensure the reliability of AI based on its capabilities.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.1-21
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• 2021

Recently, the importance of entrepreneurship based on innovative ideas is being emphasized. Most startup companies misunderstand that a good solution is a good idea, so they try to start a business by choosing an idea that prioritizes solutions, products, and technology rather than problem-first. However, to be a successful startup, it is essential to focus on the quality of the problems your customers are trying to solve. The online community is a place where many people exchange their thoughts and communicate with each other through a network, and communities about consumption, a concern of modern people, are developing. Against this background, this study proposed an integrated methodology that combines big data and netnography analysis so that entrepreneurs can use online community data to derive customer-centered startup ideas. The integrated methodology was verified based on the actual start-up case, who derived a startup idea based on the data of domestic cloth diapers online cafe. The case company found customer problems based on online community data and used it to develop startup items and new products. The integrated methodology for deriving entrepreneurial ideas in this study is expected to be an important guideline that explains in detail the consumer-centered idea derivation process.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.31-36
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• 2021

In the era of the 4th industrial revolution represented by AI technology, various AI education is being conducted in the education field. However, AI education in the educational field is mostly one-off project education or teacher-centered education. In order to practice student-centered, field-oriented education, an artificial intelligence education program was developed based on design thinking. The AI education program based on design thinking will improve understanding and ability to use AI through the process of solving everyday problems with AI, and will develop the ability to create new values beyond understanding AI. It is expected that various AI education will take place in the educational field through design thinking-based artificial intelligence education programs.

• Journal of The Korean Association of Information Education
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• v.13 no.1
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• pp.69-76
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• 2009

This paper proposes a teaching plan of programming language class for university of education students amusingly with LEGO Mindstorms NXT robot. The goal of class is not fragmentary knowledge acquirement but problem-solving of maze. This robot communicates with GUI named NXT-G installed in computer via USB. GUI is not text-based but icon-based programming tool. This paper designs a semester with 3 steps such as beginner, intermediate, high-rank. Beginner step is consists of learning of basic functions such as GUI usage and several sensors of robot. Intermediate step is consists of solving of maze problem with low complexity. High-rank step is consists of solving maze problem with medium and high complexity. All maze problem-solving have 3 process with algorithm, flowchart, and programming with stack.

• The Journal of Bigdata
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• v.5 no.2
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• pp.29-42
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• 2020

In Korea, micro-enterprises are in charge of an important part of the common people's economy, but face difficulties such as excessive competition, deteriorating profitability, and concentration of life-oriented industries. In order to solve this problem, the government is providing commercial district analysis services for micro-enterprises. However, the data provided by various organizations is not standardized, and there is a limit to the composition of the service with limited data. In this paper, we propose a method of solving the data consistency problem and linking and analyzing between questionnaire information and commercial district information to expand the data analysis service. The proposed linking methods are three methods: linking the commercial area information and questionnaire information in the same area based on the type of business and area, linking the survey information centered on individual micro-enterprise, and linking a small area of questionnaire information with a large area of commercial district information. The linked commercial district information and questionnaire information can be used in various ways or expanded analysis services. This proposed a method to overcome the limitations of existing commercial district analysis services with questionnaire information and lay the foundation for expanding the commercial district analysis services necessary for micro-enterprises.

• The Journal of Korean Medicine
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• v.33 no.4
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• pp.60-68
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• 2012

Objectives: By grasping trends in research, technology, and general characteristics of learning support tools, this study was conducted to present a model for research on Korean Medicine (KM) to make use of information technology to support teaching and learning. The purpose is to improve the future clinical competence of medical personnel, which is directly linked to national health. Methods: With papers and patents published up to 2011 as the objects, 438 papers were extracted from "Web of Science" and 313 patents were extracted from the WIPS database (DB). Descriptive analysis and network analysis were conducted on the annual developments, academic journals, and research fields of the papers, patents searched were subjected to quantitative analysis per application year, nation, and technology, and an activity index (AI) was calculated. Results: First, research on medical learning support tools has continued to increase and is active in the fields of computer engineering, education research, and surgery. Second, the largest number of patent applications on medical learning support tools were made in the United States, South Korea, and Japan in this order, and the securement of remediation technology-centered patents, rather than basic/essential patents, seemed possible. Third, when the results of the analysis of research trends were comprehensively analyzed, international research on e-PBL- and medical simulation-centered medical learning support tools was seen to expand continuously to improve the clinical competence of medical personnel, which is directly linked to national health. Conclusions: The KM learning support tool model proposed in the present study is expected to be applicable to computer-based tests at KM schools and to be able to replace certain functions of national KM doctor license examinations once its problem DB, e-PBL, and TKM simulator have been constructed. This learning support tool will undergo a standardization process in the future.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.2
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• pp.245-269
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• 2016

In this study, we develop a categorization of citizens' information problems in their everyday life based on the characteristics in their information seeking behavior for developing information services which support to solve the problems practically. First of all, we extracted keywords related to their faced everyday life problems from the scripts of open-ended interviews with citizens who had diverse characteristics. The keywords were categorized into 6 groups, such as hobby/recreation, legal problems, current affairs, education, health, and economic matters, based on the characteristics in related information seeking behaviors. Then the 6-group categorization was tested statistically with questionnaire survey data based on their prefered information sources. Through the statistical test, the 6-group categorization has proved being valid. Based on the results, we suggested to reconsider the current information services in public libraries, and discussed a possibility to shift the services to problem-based information services.

• The Journal of Korean Academic Society of Nursing Education
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• v.3 no.2
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• pp.207-213
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• 1997

Basic science teaching and clinical education should be integrated whenever appropriate, and the development of skills, values, and attitudes which are emphasized to the same extent as the acquisition of knowledge in nursing. Problem-based learning provides a students-centered learning environment and encourages an inquisitive style of learning. The purpose of this paper is to review and comment the role of tutors and students on problem-based learning. The use of problem-based learning places a high demand on faculty members' time and support. The role of tutors in Problem-based learning focuses primarily on issues of developing and teaching the curriculum and on organizational implementation and institutionalization. Tutors are an integral part of course planning. Tutors serve as a constant source of feedback on student needs and concerns to the course director and constitute an informal steering committee while the course is in progress. Tutors write cases, develop student evaluation methods, recommend resources, suggest modifications in lectures and laboratories. Students have a limited amount of time available to study what is traditionally defined as the core content of nursing. But, the role of students in Problem-based learning would be active, independent learners and problem-solvers rather than passive recipients of information. Students using a deep level approach attempt to integrate what they learn with what they already know, to understand the meaning underlying the material to be learned, and to look for explanations rather than facts. Students are encouraged, with appropriate guidance, to define their own learning goals, to select appropriate experiences to achieve these goals, and to be responsible for assessing their own learning progress. Problem-based learning is more flexible and meaningful, by encouraging student interaction, and by having a better emotional climate than the conventional learning.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.489-500
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• 2009

This research takes a user-centered approach to define relevance, the core concept in information retrieval. The literature on relevance has identified numerous factors affecting such a judgment. We examined the model of user relevance judgment that describes the relationship between user relevance criteria and different types of relevance with information search task. We consider 7 criteria of user relevance-topicality, novelty, reliability, understandability, specificity, richness, and interest-and 3 type of user relevance-cognitive relevance, situational relevance, and affective relevance. Data were collected from a semi-controlled survey and analyzed by a structural equation modeling. As a result, topicality and reliability were found to be the essential relevance criteria in all information retrieval tasks. In the fact search task, topicality, reliability, novelty, richness, and interest were found to be significant. In the problem solving search task, topicality, reliability, understandability, and specificity were found to be significant. In the decision making search task, topicality, reliability, novelty, understandability, richness, specificity, and interest were found to be significant. In addition, the relationships between types of user relevance were determined. This research made theoretical and practical contributions to the field of information retrieval by identifying a definite model of user relevance judgment.