• Journal of Industrial Convergence
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• v.20 no.5
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• pp.83-92
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• 2022

As cases of social and ethical problems caused by artificial intelligence technology have occurred, artificial intelligence ethics are drawing attention along with social interest in the risks and side effects of artificial intelligence. Artificial intelligence ethics should not just be known and felt, but should be actionable and practiced. Therefore, this study proposes an artificial intelligence ethics education model to strengthen the practical ability of artificial intelligence ethics. The artificial intelligence ethics education model derived educational goals and problem-solving processes using artificial intelligence through existing research analysis, applied teaching and learning methods to strengthen practical skills, and compared and analyzed the existing artificial intelligence education model. The artificial intelligence ethics education model proposed in this paper aims to cultivate computing thinking skills and strengthen the practical ability of artificial intelligence ethics. To this end, the problem-solving process using artificial intelligence was presented in six stages, and artificial intelligence ethical factors reflecting the characteristics of artificial intelligence were derived and applied to the problem-solving process. In addition, it was designed to unconsciously check the ethical standards of artificial intelligence through preand post-evaluation of artificial intelligence ethics and apply learner-centered education and learning methods to make learners' ethical practices a habit. The artificial intelligence ethics education model developed through this study is expected to be artificial intelligence education that leads to practice by developing computing thinking skills.

• Journal of Gifted/Talented Education
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• v.23 no.3
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• pp.479-499
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• 2013

The purpose of this study is to examine the effects of Mother's Child-Rearing Attitudes on young children intelligence, multiple intelligences and emotional intelligence. In order to achieve the purpose of the study, 215 children and their mothers and teachers of children 15 were investigated. Data analysis, correlation analysis and regression analysis were conducted to analyze the mother's Child-Rearing Attitudes and the relationship between the young children's intelligence and multiple intelligences and emotional intelligence. The results of this study and the conclusions obtained through the discussion are as follows: First, the relationship between the mother's child-rearing attitudes and intelligence, multiple intelligences, on the other hand, showed a high correlation relationship between the mother's child-rearing attitudes and emotional intelligence and appeared to be correlated with low. Second, the rejective attitude and autonomous attitude variables that best explain the entire intelligence and multiple intelligence of young children, the affectionate attitude and autonomous attitude, the young children's the entire emotional intelligence best explain the factors. These results in the development of intelligence, multiple intelligence, emotional intelligence, affectionate attitude depending on the situation, autonomous attitude shows rejective attitude avoiding uniform, certain attitudes, rather than to show the mother's Child-Rearing Attitudes desirable that suggests.

• ETRI Journal
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• v.45 no.4
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• pp.724-724
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• 2023

• Convergence Security Journal
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• v.3 no.2
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• pp.41-55
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• 2003

Today the traditional national intelligence activities which are mainly based on classified informations are confronted with several problems. These are excessive collection cost, morality of intelligence activity, objectivity of intelligence, intelligence dead zone and timeliness of intelligence etc. On the other hand, circumstances of national intelligence activity are rapidly changed. Those are rapid growth of internet, transformation of classified information into open one and rapid growth of intelligence capabilities of private sector. To cope these problems and circumstances, we reevaluated OSINT(Open Source INTelligence) which is collected from all kinds of open source informations on the internet. First, we classified OSINT into four categories corresponding to the traditional classified collection methods i.e., IMINT, SIGINT, HUMINT and MASINT. And we evaluate the value of OSINT in comparison with classified collection methods. Finally a system for national intelligence activity based on all kinds of open source intelligence on the internet is proposed, described and compared with the system of traditional national intelligence activity.

• Knowledge Management Research
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• v.24 no.3
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• pp.127-148
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• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.677-694
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• 2018

Purpose: The purpose of this study is to investigate various prior studies on artificial intelligence and to examine the concept and characteristics of various prior studies of existing service quality. And this paper is to study the concept and characteristics of artificial intelligence services and propose suitable quality measurement items. Methods: The research method of this paper is to examine previous research related to existing artificial intelligence and to analyze characteristics related to service quality. Results: This paper examines the concept and characteristics of artificial intelligence service in a new era by examining previous studies related to artificial intelligence and derives quality measurement items. Conclusion: In the future, it is necessary to verify the validity of the quality measurement items of artificial intelligence service. Therefore, it is necessary to elicit and verify the main quality measurement items through the investigation of the expert group.

• Asian Journal of Business Environment
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• v.8 no.4
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• Korean Journal of Artificial Intelligence
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• v.6 no.2
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• pp.1-9
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• 2018

Recently, the rapid development of artificial intelligence industry has resulted in a great change in our modern society. Due to this background, this paper takes the United Kingdom as an example to explore the determinants of artificial intelligence industry in terms of United Kingdom's macroeconomics. The quarterly time series from the first quarter of 2010 to the fourth quarter of 2017 will be employed to conduct an empirical analysis under the vector error correction model. In this paper, the real GDP, the employment figure, the real income, the foreign direct investment, the government budget and the inflation will be regarded as independent variables. The input of artificial intelligence industry will be regarded as a dependent variable. These macroeconomic variables will be applied to perform an empirical analysis so as to explore how the macroeconomic variables affect the artificial intelligence industry. The findings show that the real GDP, the real income, the foreign direct investment and the government budget are the driving determinants to promote the development of artificial intelligence industry. Conversely, the employment figure and the inflation is the obstructive determinants to hamper the development of artificial intelligence industry.

• Journal of the Korean Home Economics Association
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• v.49 no.8
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• pp.85-95
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• 2011

The purpose of this study was to examine the relationship between preschool teachers' multiple intelligence and their teaching and learning plans. For this purpose, multiple intelligences test(K-MIDAS) was conducted on 80 teachers in kindergartens located in Seoul and Gyeongsangnam-do and they were asked to map out teaching and learning plans about topics. The data were analysed with descriptive statistics and Pearson's correlation using SPSS PC program(16.0 version). Major findings were as follows: Teachers had the highest levels in interpersonal intelligence, followed by musical intelligence and linguistic intelligence; interpersonal intelligence and linguistic intelligence accounted for an especially high proportion of their teaching and learning plans. The higher a preschool teacher's physical activity intelligence, the greater the proportion of physical exercise, music, and logic and mathematics in their teaching plans. It was also found that preschool teachers with higher levels linguistic intelligence made more plans on self-understanding, whereas preschool teachers with higher levels of intelligence in the observation and investigation of nature made more plans on spatial area.

• Journal of Practical Engineering Education
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• v.6 no.1
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• pp.31-36
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• 2014

Intelligence Fusion cluster is a interdisciplinary program which consists of school of electrical, electronics, and communication, school of computer science and engineering, school of architecture and architectural engineering, and department of industrial design engineering. To make an effective management plan for intelligence fusion cluster, we surveyed students and faculty members who belong to the cluster. A management plan was derived based on this survey. The plan was presented in two ways: by curriculum improvement and research vitalization.