• Journal of Korean Elementary Science Education
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• v.33 no.3
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• pp.427-438
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• 2014

In this study, we explored the factors related with preference for and participation in science-related activities of elementary school students. We developed a questionnaire to measure the characteristics of students such as motivation toward science learning, science aspiration, family science orientation, parental educational level and occupation, and the degrees of preference and participation of science-related activities. The questionnaire was administered to about 400 fourth graders in Seoul. The results revealed that the students with higher motivation toward science learning and/or science aspiration preferred and participated more in most activities. It was also found that parental educational level and occupation did not make an appreciable difference in preference and participation. The students who perceived their parents to be science-oriented, however, preferred and participated more in most activities. These results may offer practical implications for effective uses of both school and out-of-school science activities in elementary science education.

• The KIPS Transactions:PartD
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• v.18D no.5
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• pp.385-392
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• 2011

Recently, the concern of IT-in-Agriculture convergence technology that combines information technology and agriculture is increasing rapidly. Especially, the crop cultivation related prediction services by spatial data mining (SDM) can play an important role in reducing the damage of natural disaster and enhancing crop productivity. However, the data conversion and integration procedure to acquire the learning dataset of SDM for the prediction service need a lot of effort and time, because of their heterogeneity between distributed data. In addition, calculating spatial neighborhood relationships between spatial and non-spatial data necessitates requires the complicated calculation procedure for large dataset. In this paper, we suggest a SOA-based data integration framework that can effectively integrate distributed heterogeneous data by treating each data source as a service unit and support to find the optimal prediction service by improving productivity of learning dataset for SDM. In our experiment, we confirmed that our framework can be effectively applied to find the optimal prediction service for the frost damage area, by considering the case of peach crop cultivation in Icheon in Korea.

• Communications of Mathematical Education
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• v.22 no.2
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• pp.109-124
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• 2008

A characteristic of the national mathematics curriculum revised in 2007 is to repeal the level-oriented individualized curriculum and choose substance of individualized teaching and learning based on the student's achievement level and quality. To do this we first have to think through how to compare students' achievement and differentiate classes. In this paper, we introduce the (modified) Angoff method as a method for comparing students' achievement and the concept of representative items for each achievement level in the National Assessment of Educational Achievement of Mathematics, and discuss how to use them in individualized teaching and learning, especially comparing students' achievement.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.7
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• pp.1467-1474
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• 2009

What matters in the society of knowledge and information is not that they just know certain facts, but that when faced with new situations, they should be able to develop novel ideas, apply them and do the problems or the tasks confronting them. This cannot be achieved through learning of mere knowledge. Computer programming lessons have shown positive effects on general thinking ability, metacognitive aspects, and logical thinking. The ACM has suggested that 8th grade students at the first level (second year students of middle school) be educated in programming languages such as LOGO to raise their ability to think logically. Previous studies have confirmed educational programming languages such as LOGO and BASIC, which are currently used, are helpful in improving the ability to think logically and to solve problems. However these languages lack connectivity with later learning. Little research has been done on 'Dolittle', an educational programming language, newly developed, using object-oriented notions. Few studies have been made of the effects of 'Dolittle' on the ability to think logically. The following results were obtained. The research didn't lead to a statistically significant improvement of the students' cognitive development level. However, proportional logic and combinational logic, among the six subcategories of logic, improved through the introduction of 'Dolittle' programming lessons. This leads to the conclusion that in the processing of solving the problems given, the students learned by themselves and improved their ability to think logically.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.180-187
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• 2021

This thesis explores the place and role of a performer's action from a perspective of a director and playwright David Mamet's concept for performer training. This thesis takes inspiration from the idea of Mamet's simple and practical investigation specifically in text-based approach with a performer's bodily function on stage. For Mamet, the writings and practices of many different body-centered training are not rooted in the principle and nature of acting/performance. Reconsidering complicated approaches particularly psychological-oriented theory, practice, and assumption draw on several practitioners takes us beyond the field of visible and/or outer appearance of a performer which in turn leads the performer's body to be as abstract therefore not to being in the moment on stage. Arming the points, we argue that whatever disciplines and/or methods necessarily need to meet the principles and demands of acting/performance/theatre to connect to the materials, an action/objective given by a specific playwright which the performer must inhabit through his/her body. Out of the context, any 'method' serves no purpose. That is, the mechanics of an action is an extension of addressing what a performer's specific needs which shifts his/her body to respond appropriately to the theatrical demands. Taking this argument further, we claim that the purpose of performer training should not be understood as learning and improving techniques or skills for his/her self-perfection. The research finding shows that this resembles to the phenomenon that the visible very often precedes the invisible where the performer's body lose a clarity with no more chance to happen and/or change the event(s). Rather, it is a process of learning what/how to learn which in turn brings us back to the central question of why we do training for what purpose in this contemporary era. Exploring and answering these questions is not only a way to employ the key materials applicable to the theatrical demands but also to achieve the identify as a professional performer/doer on stage.

• Journal of the Korean Society of Earth Science Education
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• v.12 no.2
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• pp.131-140
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• 2019

In this study, a block-base coding that could develop computing thinking was applied to Earth science teaching and learning to identify how the perception of computational thinking and scientific attitude was changed as part of creativity education. Based on the results of the study, the conclusions are as follows: First, an Earth science education program was developed using a block-based coding for elementary school students. The 12-hour program was designed for inquiry activities to encourage students to engage in various thinking by providing them with activity-oriented problems. Second, the Earth science education program using a block-based coding showed significant results in confidence in the use of a computer program, integrated learning with a computer, computational thinking, and problem-solving factors with computational thinking. Third, the Earth science education program using block-based coding showed significant differences in the categories of curiosity, criticism, cooperation, persistence, and creativity. It could be judged that it was effective for students in the process of questioning and trying to solve the problem themselves.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1602-1608
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• 2019

In this study, we developed a "Zetton Children's Traffic Safety Education" application using mixed reality to help children experience a variety of traffic situations indirectly and to help them defend themselves from accidents. We analyze the types of high mortality child traffic accidents to set learning goal. And we developed the experience-oriented contents that players could acquire signal systems and traffic information naturally and funny in the course of playing scenarios according to designed various traffic situations. In order to verify the educational effectiveness of the developed application, children were given traffic safety education through after-school education activities. The result shows that the frequency of right answers to questions related to traffic safety awareness and learning objectives is increased.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.5
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• pp.173-185
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• 2016

As a dual-degree program/exchange student program becomes widespread, the faculty and students consisting of a course are being globalized. Recently, there has been an online or blended learning-based course, which is evolved from a conventional offline course. However, the course has no consideration of a dual-degree program or exchange student program because it is limited to a domestic university. To create and manage a global course, there have several of difficulties in the aspects of cost or effectiveness. As a solution to tackle them, it is necessary to do research on providing blended global courses with a fusion approach of online and offline. In this paper, we studied and presented a model of blended global courses. To create and maintain overseas scholar-oriented courses, we devised eight types of blended global courses depedning on their opening time and the cooperative relation between online and offline and made their comparative analysis. The blended global course proposed in this paper can be applied to cultivating global human resources in universities.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.103-109
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• 2023

The Safe Life is an essential subject of education introduced in the 2015 revised curriculum for first and second graders of elementary school to cultivate safety awareness. This study aims to explore the relationship between concepts and concepts that are important in the Safe Life textbook using a keyword network analysis. The results indicate that the areas of life safety, traffic safety, and disaster safety are emphasized in terms of topics in the textbook. The teaching and learning methods for the Safe Life education are mainly based on "experience" and "practice," and the most common teaching materials are card games and sticky stickers. Based on the findings, we suggest maintaining the experience-oriented safety education approach and diversifying the teaching and learning materials and methods to incorporate various safety education areas.

• Convergence Security Journal
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• v.24 no.2
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• pp.9-17
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• 2024

This paper examines the security threats to enterprise Generative Artificial Intelligence systems and proposes countermeasures. As AI systems handle vast amounts of data to gain a competitive edge, security threats targeting AI systems are rapidly increasing. Since AI security threats have distinct characteristics compared to traditional human-oriented cybersecurity threats, establishing an AI-specific response system is urgent. This study analyzes the importance of AI system security, identifies key threat factors, and suggests technical and managerial countermeasures. Firstly, it proposes strengthening the security of IT infrastructure where AI systems operate and enhancing AI model robustness by utilizing defensive techniques such as adversarial learning and model quantization. Additionally, it presents an AI security system design that detects anomalies in AI query-response processes to identify insider threats. Furthermore, it emphasizes the establishment of change control and audit frameworks to prevent AI model leakage by adopting the cyber kill chain concept. As AI technology evolves rapidly, by focusing on AI model and data security, insider threat detection, and professional workforce development, companies can improve their digital competitiveness through secure and reliable AI utilization.