• The Journal of Korean Association of Computer Education
• /
• v.6 no.1
• /
• pp.109-120
• /
• 2003

Recently, as more web-based applications are widely used, various methods for education are developed in practical areas. As a result, in many organizations, virtual educations such as WBI learning. CAI, and distance learning are offered actively. With the advantages of web-based education, in order to achieve feasible and efficient effects on education. a new web-based instruction model that considers the abilities, the interests, and the aptitudes of students individually is required. In this paper, a new web-based instruction model, called a hybrid model, is proposed and implemented. And then, two model - the stepwise model and the hybrid model- are applied to a computer accounting class of a vocational high school. Students attend the web-based class in a computer center for 100 minutes autonomously. After the classes, a questionnaire is made in order to analyze both the effect on that class and the learning fulfillment of the proposed instruction model.

• Journal of The Korean Association of Information Education
• /
• v.8 no.2
• /
• pp.261-268
• /
• 2004

The Government has established the infrastructure for knowledge and information-oriented society, strengthening the ICT technology education. Although information knowledge ability of learners is prerequisite to educate ICT, but systematic educating courses and time for that are insufficient, and many difficulties have been pointed out. In order to solve such problems, this study developed Web-based computerized adaptive testing system using the item response theory. This system enables the learners to evaluate their own ICT knowledge abilities in their school or home by using familiar web interface and to perform supplementary or deepening study according to the results, and consequently, smooth education of ICT application will be achieved. In addition, this system will be a very effective method for the elementary/middle/high-school ICT knowledge ability certification system.

• Journal of the Korean association of regional geographers
• /
• v.11 no.2
• /
• pp.247-262
• /
• 2005

Environmental education has been introduced in elementary education in the early 1980s; while, environmentally responsible behavior was not improved as much as the educators expected. This paper analyzed the contents of environment education in the textbooks and objectives of the teacher's guidebooks in the seventh national curriculum. The proportion of cognitive objectives were higher than affective ones. Environment preservation and countermeasure, natural environment, environment pollution were overemphasized in all grades. The contents of environmental education were not progressed; it did not follow the spiral curriculum. Social studies dealt with on built environment, population, industrialization and urbanization, resources that the other subjects did not much concern on. Geographic area in social studies was well fit to teach environment as a holistic approach. Environmental programs oriented geographic area within social studies could help to conduct outdoor activities in the residential areas; therefore, environmentally responsible behavior would be improved.

• Journal of Practical Engineering Education
• /
• v.8 no.2
• /
• pp.83-89
• /
• 2016

Flip-learning enables an effective teaching and learning in accordance with the deepening degree of engineering education as a framework that enables learning according to the individual differences of the theoretical aspects, and solving real problems and practice of the learner-centered education through the application of this. The subject of basic fluid power practice which is used in various industries requiring factory automation aims at understanding of the composition and operating principles of pneumatic components and programming of electric sequential circuits, building the design ability of pneumatic system. This subject goes by 3 hour classes with theory and practice side by side. So it has not enough time to instruct students various contents related in this subject. In this study, the instructional design was performed according to the KOREATECH (Korea University of Technology and Education) flip-learning basic model for the effective teaching of 'Basic Fluid Power Practice' in basic engineering practice courses,. And the effectiveness of flip-learning is analyzed through the students survey after performing classes.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.7
• /
• pp.1400-1406
• /
• 2007

The core part of education program of the gifted students in information is the thinking ability extension of the programming. We propose four phases of the education model : (1) problem understanding (2) visualization (3) symbolization (4) algorithmization. This model of four phases is applied to learn the abstract concept of recursion using the data structure of Tree. This model is verified by presenting the example of 'Hanoi Tower' to stimulate intellectual curiosity of the students and help to expand their thinking strength. Also, we show the characteristics of which the teaching subjects and learning activities have, by presenting and clarifying the type of education program, properties of the learning contents, and lower level components. The students can deepen and foster the growth of the learning contents by the students' activities of self-evaluation, and their thinking abilities are increased by the guidances of their teachers.

• Journal of The Korean Association of Information Education
• /
• v.26 no.3
• /
• pp.167-174
• /
• 2022

In blended learning, which combines school and online learning, unidirectionalness and disconnection of interaction are pointed out as the reason for widening the educational gap. This study conducted focus group interviews with teachers, students, and parents to develop a blended learning model to enhance the effectiveness of online learning. In order to increase the interaction between teachers and students online, the EduCare model considering care factors was proposed. Six practical models were proposed for the blended EduCare model. Not only interaction can be maximized, but learning reality and psychological well-being, social presence can be improved, and the effectiveness of online learning can be cultivated positively.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.511-511
• /
• 2023

기후변화로 동절기 기온 저하에 따른 수도계량기의 동파는 지속적으로 심화되고 있으며, 이는 계량기 교체 비용, 누수, 누수량 동결에 의한 2차 피해, 단수 등 사회적 문제를 야기한다. 이와같은 문제를 해결하고자 구조적 대책으로 개별 가정에서 동파 방지형 계량기를 설치할 수 있으나 이를 위한 비용발생이 상당하고, 비구조적 대책으로는 기상청의 동파 지도 알림 서비스를 활용하여 사전적으로 대응하고자 하나, 기상청자료는 대기 온도를 중심으로 제공하고 있기 때문에 해당서비스만으로는 계량기의 동파를 예측하는데 필요한 추가적인 다양한 변수를 활용하는데 한계가 있다. 최근 정부와 공공부문에서 22개 지역, 110개소 이상의 수도계량기함내 IoT 온도센서를 시범 설치하여 계량기 함내의 상태 등을 확인할 수 있는 사업을 수행했다. 전국적인 계량기 상태의 예측과 진단을 위해서는 추가적인 센서 설치가 필요할 것이나, IoT센서 설치 비용 등의 문제로 추가 설치가 더딘 실정이다. 본 연구에서는 겨울 동파 예방을 위해 실제 온도센서를 기반으로 가상센서를 구축하고, 이를 혼합한 하이브리드 방식으로 동파위험 기준에 따라 전국 동파위험 지도를 구축하였다. 가상센서 개발을 위해 독립변수로 위경도, 고도, 음·양지, 보온재 여부 및 기상정보(기온, 강수량, 풍속, 습도)를 활용하고, 종속변수로 실제 센서의 온도를 사용하여 기계학습 모델을 개발하였다. 지역 특성에 따라 정확한 모델을 구축하기 위해 위치정보 및 보온재여부 등의 변수를 활용하여 K-means 방법으로 군집화 하였으며, 각 군집별로 3가지의 기계학습 회귀모델을 적용하였다. 최적의 군집 수를 검토한 결과 4개가 적정한 것으로 판단되었다. 군집의 특성은 지역별 구분과 유사한 패턴을 보이며, 모든 군집에서 Gradient Boosting 회귀모델을 적용하는 것이 적합한 것으로 나타났다. 본 연구에서 개발한 모델을 바탕으로 조건에 따라 동파 예측 알람서비스에 실무적으로 활용할 수 있도록 양호·주의·위험·매우위험 총 4개의 기준을 설정하였다. 실제 본 연구에서 개발된 알고리즘을 국가상수도정보 시스템에 반영하여 테스트 수행중에 있으며, 향후 지속 검증을 할 예정에 있다. 이를 통해 동파 예방 및 피해 최소화, 물절약 등 직간접적 편익이 기대된다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.2
• /
• pp.417-426
• /
• 2024

In general, the implementation of machine learning requires prior knowledge and experience with deep learning models, and substantial computational resources and time are necessary for data processing. As a result, machine learning encounters several limitations when deployed on embedded processors. To address these challenges, this paper introduces a novel approach where a genetic algorithm is applied to the convolution operation within the machine learning process, specifically for performing a selective convolution operation.In the selective convolution operation, the convolution is executed exclusively on pixels identified by a genetic algorithm. This method selects and computes pixels based on a ratio determined by the genetic algorithm, effectively reducing the computational workload by the specified ratio. The paper thoroughly explores the integration of genetic algorithms into machine learning computations, monitoring the fitness of each generation to ascertain if it reaches the target value. This approach is then compared with the computational requirements of existing methods.The learning process involves iteratively training generations to ensure that the fitness adequately converges.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.34 no.1
• /
• pp.143-156
• /
• 2024

Federated Learning (FL) has emerged as a potent methodology for decentralized model training across multiple collaborators, eliminating the need for data sharing. Although FL is lauded for its capacity to preserve data privacy, it is not impervious to various types of privacy attacks. Differential Privacy (DP), recognized as the golden standard in privacy-preservation techniques, is widely employed to counteract these vulnerabilities. This paper makes a specific contribution by applying an existing, task-specific adaptive DP mechanism to the FL environment. Our comprehensive analysis evaluates the impact of this mechanism on the performance of a shared global model, with particular attention to varying data distribution and partitioning schemes. This study deepens the understanding of the complex interplay between privacy and utility in FL, providing a validated methodology for securing data without compromising performance.

• Journal of Labour Economics
• /
• v.43 no.2
• /
• pp.135-159
• /
• 2020

This paper analyzes and compares the effects of various government subsidies to improve labor productivity. Laborers are differentiated in learning ability, and duopsonists in the labor market sequentially determine the quality levels and wages of employed laborers in a two-stage noncooperative game under perfect information. If a subsidy is given to the advanced firm in quality and productivity of labor, that firm will prefer to intensify wage competition due to strengthening its competitiveness in the labor market, and attempt to lower its quality in order to reduce the degree of differentiation in quality. At that time, the other firm wants to avoid competition because of its weakened competitiveness, and may have an incentive to lower the quality level to expand the differentiation. If the government subsidizes low-quality and low-productivity firm, it is motivated to increase its quality level to reduce differentiation due to the strengthening of competitiveness, and its competitor has an incentive to improve the quality to expand the differentiation. And there is no significant difference in whether payments are made to laborers or firms.