• 대한공업교육학회지
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• v.30 no.1
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• pp.37-45
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• 2005

The purpose of this study is to find out the relationship between the Multiple Intelligence and the technological problem solving and the differences between the two. There were a group of 200 third grade middle school students that were comprised of 100 boys and 100 girls and what the difference is exited between the boys and the girls. To measure the students' Multiple Intelligence, MI(Multiple Intelligent)Test designed by Youngrin, Moon was used. As the testing instrument of the Technological problem Solving, we use the test developed by National Center for Research on Evaluation, Standards, and Students Testing(CRESST). The results were; First, In comparison with the boys and girls' multiple intelligence part, there were individual differences in musical intelligence, bodily-kinesthetic intelligence, logical-mathematical intelligence, and naturalistic intelligence of multiple intelligence. Second, In comparison to the technological problem solving part, there were individual differences in self-regulation and there was a mild difference in understanding of the contents. Third, The multiple intelligence related with the self-regulation is continuous with logical-mathematical intelligence, intra-personal intelligence and linguistic intelligence. Fourth, The multiple intelligence related with the technological problem solving strategy is continuous with logical-mathematical intelligence and musical intelligence. Fifth, The multiple intelligence related with the understanding of the contents is continuous with the logical-mathematical intelligence and naturalistic intelligence. To improve the students' technological problem solving ability, it is required the development of the curriculum which focus on the improvement of logical-mathematical intelligence, musical intelligence, intra-personal intelligence, linguistic intelligence and naturalistic intelligence of the students.

• 대한공업교육학회지
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• v.31 no.2
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• pp.64-82
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• 2006

This study investigated what effects multiple intelligence, through which the diverse intelligence abilities of a learner are identified, has on technological problem solving ability according to sex. And it was carried out to present a way to reduce the gap between boys and girls in technological problem solving ability. The subject was 833 middle school students in the third grade (boys: 423, girls: 410) whose schools are located in a megalopolis or more large area. And the instruments developed by Yong-Lyn Moon(2001) and in CRESST(1998) were used. The results of this study are as follows. First, it appeared that there were statistically meaningful differences at six items in multiple intelligence between boys and girls. The six items were bodily-kinesthetic intelligence, logical-mathematical intelligence, naturalistic intelligence, musical intelligence, interpersonal intelligence, and introspective intelligence. Second, in technological problem solving ability, it appeared that boys and girls showed statistically meaningful differences at self-regulation and problem solving strategy. Third, it appeared that logical-mathematical intelligence, linguistic intelligence, introspective intelligence, and natural intelligence had an effect on boys in the way of self-regulation and logic-mathematical intelligence, introspective intelligence, naturalistic intelligence, and linguistic intelligence did on girls. Fourth, it appeared that logical-mathematical intelligence, musical intelligence, and bodily-kinesthetic intelligence had an effect on boys in the way of problem solving ability and linguistic intelligence and musical intelligence had on girls. Fifth, it appeared that logical-mathematical intelligence did an effect on both sexes in drawing up the understanding of contents. On the basis of the results of this study, the area related to multiple intelligence directly or indirectly should be developed in the course of designing the primary and secondary curriculums to reduce the gap between boys and girls in multiple intelligence. With these efforts, the scholastic attainments gap caused by the difference of multiple intelligence will be overcome.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.66-83
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• 2022

Artificial Intelligence (AI) is to assumed to be one of next generation technology which determine technological competitiveness and strategic advantage of a certain country. By using the patent data, this study aims to have a comparative analysis of the technological competitiveness of evolving artificial intelligence at different stages of development among the five largest intellectual property offices in the world (IP5). For the analysis data, all AI technology patent data from 1956 to 2019 were utilized according to the classification system presented in the "WIPO 2019 Technology Trend: Artificial Intelligence" report published by the World Intellectual Property Organization (WIPO) in 2019. The results shows that China has already surpassed the United States in terms of the number of patent applications in the field of artificial intelligence technology. However, in the domains of the United States, Europe, Japan, and Korea, the technology competitiveness of the United States is far ahead of China. Interestingly, the rate of increase of Korea's technology competitiveness is also very fast, and it has been shown that the technology strength is ahead of China in non-Chinese domains. The significance of this study can be found in the fact that the temporal and spatial change process of technological competitiveness of significant countries in the field of artificial intelligence technology artificial intelligence was viewed as a macro-framework using the technology index (TS) the differences were compared.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.35-38
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• 2021

The article discusses approaches to the definition and understanding of artificial intelligence, research directions in the field of artificial intelligence; artificial intelligence in the anthropological dimension; the importance of the systems approach as a methodological basis for the design of intelligent systems; structural and functional components of intelligent systems; intelligent systems in the technological aspect; problems and prospects of relations in the system "man - intellectual system".

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.257-263
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• 2022

The objective of this study was to see how artificial intelligence applications affected organizational innovation in Jordanian commercial banks. Both independent and dependent variables were measured in three dimensions: expert systems, neural network systems, and fuzzy logic systems for artificial intelligence applications variable. Product innovation, process innovation, and management innovation for the organizational innovation variable. To achieve study objectives, a questionnaire was developed and distributed to a sample of one hundred fifty-three managers in Jordanian commercial banks, who were selected according to the simple random sampling method. Except for the neural network systems dimension, which comes in at an average level, the study indicated that there is a high level of organizational innovation and artificial intelligence applications. Furthermore, the findings revealed that artificial intelligence applications have a significant impact on organizational innovation in Jordanian commercial banks, with the most important artificial intelligence application being a fuzzy logic system. The study suggested keeping track of technological advancements in the field of artificial intelligence applications and incorporating them into banking operations by benchmarking with the best commercial bank practices and allocating a portion of the budget to technological applications and infrastructure development, as well as balancing between technology use and information security risks to ensure client privacy is protected.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.265-271
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• 2001

It is highly for the research in artificial intelligence area to be able to manage knowledge as human beings do. One of the fantastic natures that human knowledge management systems have is being active. Human beings actively manage their knowledge, solve conflicts and make inference. It makes a major difference from artificial intelligent systems. This paper focuses on the discussion of the features of that human knowledge systems, which underlies the active nature. With the features extracted, further research can be done to construct a suitable infrastructure to facilitate these features to build a man-made active knowledge management system. This paper proposed 10 features that human beings follow to maintain their knowledge. We believe it will advance the evolution of active knowledge management systems by realizing these features with suitable knowledge representation/decision models and software agent technology.

• Journal of The Korean Association of Information Education
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• v.21 no.5
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• pp.527-535
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• 2017

In this study, we analyzed the image of artificial intelligence recognized by elementary students using semantic differential scale. First, we extracted 23 pairs of image adjectives related to perception of artificial intelligence. Adjectives were classified into three types related to recognition, emotion and ability and 827 elementary students were examined. Image factors were classified into four factors: convenience, technological progress, human-friendliness, and concern. As a result, they showed a clear image that artificial intelligence is clever, new, and complex but exciting. In comparison with variables, female students, coding experience and older students thought that artificial intelligence was more human-friendly and technological progressive.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.46-59
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• 2005

After the IMF jurisdiction period, the Korean economy experienced a venture boom. Korean venture enterprises had been recognized that high profitable and high technology capacity based. These ventures also have contributed to national added value tolerably. In particular, Korean information technology (IT) venture companies got away the order of economy concentrated big companies, which were taken the opportunity of new economy to make suggestion of the future courses and to open an e-Korea era. However, IT ventures firms or dotcom enterprises have had difficulties through sinking down their bubbles and slumping technology sector from the first half of the 2000. In consideration of Korea IT venture companies' conditions, Korean government introduce new national vision in order to go ahead of intelligence based society form knowledge based. Korea is planning new investment to meet with the challenge of globalization proactively by national band named u-Korea. As following a step in IT infrastructure, it will give Korean IT ventures new demand creative technologies and services by new technological windows of opportunity. This situation is expected that will become an economic take-off. This paper will look for the way to stimulate Korean IT ventures' competence and present new frontier of IT ventures turnaround.

• Journal of Fisheries and Marine Sciences Education
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• v.20 no.3
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• pp.462-472
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• 2008

Education is a field that has tried to make use of the advantages of computers since they were introduced to the world. Intelligent Tutoring System and multimedia have become methods of teaching students of Computer Science, Education, Psychology, and Cognitive Science. Until now, they have been designed and produced only on the basis of a very specific domain and format. However, in the education field, most learners ask for integrated service that is practical, realizable, and sensitive to technological change. Therefore, in this study, we would like to present the technological and formal integration model as an ITS model which acknowledges changes in the fields of technology and education. As a technological integration model, the integration model of traditional Symbolic Artificial Intelligence and Artificial Neural Networks was presented. As a formal integration model, three integration models were presented according to (a) the process of learning diagnosis (b) learners' action behaviors (c) intelligence service respectively.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.13-22
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• 2020

There is no denying that computing power has been a crucial driving force behind the development of artificial intelligence today. In addition, artificial intelligence (AI) semiconductors and computing systems are perceived to have promising industrial value in the market along with rapid technological advances. Therefore, success in this field is also meaningful to the nation's growth and competitiveness. In this context, ETRI's AI strategy proposes implementation directions and tasks with the aim of strengthening the technological competitiveness of AI semiconductors and computing systems. The paper contains a brief background of ETRI's AI Strategy #2, research and development trends, and key tasks in four major areas: 1) AI processors, 2) AI computing systems, 3) neuromorphic computing, and 4) quantum computing.