• 한국초등수학교육학회지
• /
• 제14권2호
• /
• pp.217-239
• /
• 2010

본 연구는 영재교육의 최근연구 경향과 요구를 반영하는 것으로 초등수학영재들과 일반학생들 사이의 학습전략을 비교분석하는 것이다. 본 연구의 결과는 다음과 같다. 첫째, 초등학교 수학영재들이 일반학생보다 학습동기와 자아효능감이 높게 나타났으며, 인지 초인지전략 및 자원관리전략의 활용도 매우 높게 나타났다. 둘째, 수학영재의 경우 성별에 따라 자원관리전략에 있어서 차이를 나타내며, 일반학생은 성별에 따라 학습동기에서 차이가 나타났을 뿐만 아니라, 영재교육 경험이 있는 학생들이 그렇지 않은 학생들보다 학습동기 및 자아효능감이 높게 나타났다. 셋째, 초등학교 수학영재는 학습 동기, 자아효능감, 인지 초인지전략, 자원관리전략 사이의 높은 정적인 상관관계를 가지며, 일반학생의 경우도 인지 초인지전략과 자원관리전략 사이의 상관관계는 없으나, 학습동기, 자아효능감, 인지 초인지전략, 자원관리전략 사이에서 모두 높은 정적인 상관관계를 가지고 있는 것으로 나타났다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권9호
• /
• pp.2573-2589
• /
• 2023

As 5G mobile systems carry multiple services and applications, numerous user, and application types with varying quality of service requirements inside a single physical network infrastructure are the primary problem in constructing 5G networks. Radio Access Network (RAN) slicing is introduced as a way to solve these challenges. This research focuses on optimizing RAN slices within a singular physical cell for vehicle-to-everything (V2X) and enhanced mobile broadband (eMBB) UEs, highlighting the importance of adept resource management and allocation for the evolving landscape of 5G services. We put forth two unique strategies: one being offline network slicing, also referred to as standard network slicing, and the other being Online reinforcement learning (RL) network slicing. Both strategies aim to maximize network efficiency by gathering network model characteristics and augmenting radio resources for eMBB and V2X UEs. When compared to traditional network slicing, RL network slicing shows greater performance in the allocation and utilization of UE resources. These steps are taken to adapt to fluctuating traffic loads using RL strategies, with the ultimate objective of bolstering the efficiency of generic 5G services.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권1호
• /
• pp.30-45
• /
• 2024

This study introduces an effective method for predicting individual local tax delinquencies using prevalent machine learning and deep learning algorithms. The evaluation of credit risk holds great significance in the financial realm, impacting both companies and individuals. While credit risk prediction has been explored using statistical and machine learning techniques, their application to tax arrears prediction remains underexplored. We forecast individual local tax defaults in Republic of Korea using machine and deep learning algorithms, including convolutional neural networks (CNN), long short-term memory (LSTM), and sequence-to-sequence (seq2seq). Our model incorporates diverse credit and public information like loan history, delinquency records, credit card usage, and public taxation data, offering richer insights than prior studies. The results highlight the superior predictive accuracy of the CNN model. Anticipating local tax arrears more effectively could lead to efficient allocation of administrative resources. By leveraging advanced machine learning, this research offers a promising avenue for refining tax collection strategies and resource management.

• 한국조리학회지
• /
• 제8권3호
• /
• pp.123-146
• /
• 2002

Outsourcing is procuring of outside resources, other than core resources for core competence, by a contract, from which a corporate can focus its core resources on core business. The outsourcing strategies of Korea tourist hotel business are in a rudimentary stage, which has been limited in simple work areas such as housekeeping services, room maid services, parking control services, security services, janitor services, laundry services, facility management, shuttle bus services, and sterilization services and their purposes are mainly to retrench a burden of employment or firm-fixed expenses. Therefore, the outsourcing strategies of Korea tourist hotel business have the following problems. First, their outsourcing has introduced only for the purpose of retrenching expenses. Second, it tends to deteriorate service quality, due to lack of pre-training. Third, it tends to concentrate their attentions only on simple repetition works. Fourth, their outsourcing is slow adjusted to the needs of business cultures. Outsourcing services in Korea tourist hotel business have never contributed to their basic concepts such as 1) maintenance or enhancement of core competences, 2) promotion of business efficiency through service quality improvement and expense retrenchment, and 3) achievement or enhancement of competitive advantage through enlarging their specialties, cultivating their market, learning new knowledge, and developing their asset. Therefore, this study is to insist on fife necessity of overcoming simple repetitive service outsourcing in tourist hotel business. In order to build a core competence and/or achieve a competitive advantage, the scopes of outsourcing services should be enlarged in Korea tourist hotel business.

• 지질공학
• /
• 제34권1호
• /
• pp.107-115
• /
• 2024

This study assesses forest fire susceptibility in Gangwon-do, South Korea, which hosts the largest forested area in the nation and constitutes ~21% of the country's forested land. With 81% of its terrain forested, Gangwon-do is particularly susceptible to wildfires, as evidenced by the fact that seven out of the ten most extensive wildfires in Korea have occurred in this region, with significant ecological and economic implications. Here, we analyze 480 historical wildfire occurrences in Gangwon-do between 2003 and 2019 using 17 predictor variables of wildfire occurrence. We utilized three machine learning algorithms—random forest, logistic regression, and support vector machine—to construct wildfire susceptibility prediction models and identify the best-performing model for Gangwon-do. Forest and soil map data were integrated as important indicators of wildfire susceptibility and enhanced the precision of the three models in identifying areas at high risk of wildfires. Of the three models examined, the random forest model showed the best predictive performance, with an area-under-the-curve value of 0.936. The findings of this study, especially the maps generated by the models, are expected to offer important guidance to local governments in formulating effective management and conservation strategies. These strategies aim to ensure the sustainable preservation of forest resources and to enhance the well-being of communities situated in areas adjacent to forests. Furthermore, the outcomes of this study are anticipated to contribute to the safeguarding of forest resources and biodiversity and to the development of comprehensive plans for forest resource protection, biodiversity conservation, and environmental management.

• 한국초등수학교육학회지
• /
• 제19권1호
• /
• pp.57-80
• /
• 2015

이 연구는 초등학교 수학 시험준비전략과 시험수행전략 검사를 개발하는 데 목적이 있다. 이를 위해 초등학생 9명을 대상으로 반구조화면접을 시행하여 시험준비전략 및 시험수행전략의 요인을 도출하고 요인별 문항을 개발한 다음, 초등교원 및 전문가의 내용타당도 검토를 거쳤다. 또한 G광역시 소재 13개 초등학교 6학년 학생 857명을 대상으로 변수중심 검사타당화를 시도하였다. 본 연구의 결과는 다음과 같다. 첫째, 수학 시험준비전략 및 시험수행전략 검사에서 각각 인지전략, 메타인지전략, 학습자원관리전략의 3요인이 도출되었다. 둘째, 탐색적 요인분석, 확인적 요인분석 및 신뢰도 분석을 사용하여 타당화한 결과, 3요인 23문항의 수학 시험준비전략 검사와 3요인 24문항의 수학 시험수행전략 검사가 구성되었다. 이 연구에서 개발한 검사를 이용하여 초등학생 수학 시험준비전략과 시험수행전략의 각 요인별 수준을 파악하고, 이를 바탕으로 각 요인별 전략을 향상시키기 위한 프로그램 개발이 가능할 것으로 본다.

• 한국항공운항학회지
• /
• 제29권4호
• /
• pp.21-27
• /
• 2021

The paper, in an online learning environment which becomes prolonged for reason of COVID-19, on 80 students belonging to the aviation and aeronautics, proposed more concrete direction for raising effectiveness of online class by analyses of various standpoints regarding the relation between 8 detailed elements of self-initiated learning ability and learning satisfaction. As a result of analyses, first, it turned out that, among detailed elements of self -initiated learning ability, relatively high scores were showed in basic self management ability, grasp of resources for learning, attribution of efforts to results, and selection of learning strategies. Second, in correlation between self-initiated learning ability detailed elements and learning satisfaction and technical statistical analyses, the score of the two elements: learning goal setting and continuance of learning execution is low, so that it is necessary to note the two elements. Third, as to self-initiated learning ability, the average of female students is high and in learning satisfaction, the average of male students was high. Fourth, it was found that the first-class students showed significantly high learning satisfaction compared with the second-class students. Fourth it turned out that, regarding a difference, both of self-initiated learning ability and learning satisfaction were dismissed and thus there is no difference. Fifth, as to the effects of self-initiated learning ability on learning satisfaction, both of a corelation analysis and a regression analysis showed significant results. Accordingly, self-initiated learning ability in online class has a very significant effect on learning satisfaction.

• 한국정보시스템학회지:정보시스템연구
• /
• 제14권2호
• /
• pp.75-99
• /
• 2005

Today, many universities are confronted with the changing education paradigm such as e-learning, Distance Education, Virtual University, This IT-based teaming paradigm shift is certainly a new opportunity or a threat to our universities. To overcome this problem the universities should think e-Learning as strategic weapon, such as many firms created competitive weapons from the information systems at the 1980s. So, e-Learning system can be a SIS(Strategic Information System) which supports university's future education strategies. To build a e-Learning system, not only many H/W and S/W resources but also expert personnels are required. An organization such as local university who is week at financial status can't himself plan the system. The Local University Community e-Learning Centers that support the demand of e-learning for their community are recommended. In order to operate these centers efficiently, the strategic roles of the e-Learning center should first be defined. To define the strategic roles, We classified the strategic roles of the e-Learning center into four dimensions, (1) to improve management efficiency, (2) to enhance educational service, (3) to acquire competitive advantages, (4) to build new education infrastructure, and each dimension has 5 or 6 measurement items. As result, to enhance the educational service was considered as the most significant factor among the four dimensions of strategic roles, and the infrastructure building was the next. We also tried to find the difference for each factor by the characteristics of responsor. The data showed that there was litter difference between the groups in evaluating the significance of strategic roles of e-learning centers. Through the strategic roles definition and analysis of expected role ratings, we could have recommended the direction and operation policies of the e-Loaming centers.

• 경영과정보연구
• /
• 제3권
• /
• pp.317-352
• /
• 1999

The results of a discussion among parties involved in the Industrial Educational Cooperation Program are as follows: 1. Ensure that students in the Continuing Education System have certain work experience as a prerequisite for admission. 2. Studies and evaluation methods should be diversified in order to give students better selection of lectures and credits. 3. Re-education system should be established, and a degree conferred through development of human resources and study terms. 4. Educate students by cooperating between the union of industries and that of the colleges. 5. Students are satisfied about the intensive study by $\ulcorner$2+2$\lrcorner$ joint education which connects junior college and university. 6. Put into practice creative technical education for technological development by learning their classroom studying just as actual practice in the industrial field. I offer strategies for settlement of the Industrial Trust Education mentioned above, and urge the Ministry of Education to comply.

• 대한공업교육학회지
• /
• 제34권2호
• /
• pp.179-204
• /
• 2009

조직구성원의 인재개발을 위한 교육훈련의 관심이 증대되면서 다양한 교육프로그램이 제공 및 보편화되고 있으며, 교육의 정당성 확보와 프로그램에 대한 지속적인 질 관리 차원에서 평가의 중요성이 부각되고 있다. 따라서 이 연구의 목적은 지식정보화 사회에서 요구되고 있는 인재개발 교육프로그램 평가준거 개발의 기초자료를 제공하는데 있으며, 국내 외 문헌고찰과 사례조사를 통하여 과정중심 평가모형인 Stufflebeam의 CIPP(Context, Input, Process, Product)모형에 기반한 인재개발 교육프로그램의 평가준거 대영역을 도출하였으며, 이에 따른 연구의 결과는 다음과 같다. 첫째, 인재개발 교육프로그램의 상황평가 대영역으로 도출한 평가영역은 요구분석, 목표설정, 조직환경이다. 둘째, 인재개발 교육프로그램의 투입평가 대영역으로 도출한 평가영역은 교육프로그램 전략, 인적자원, 물적자원이다. 셋째, 인재개발 교육프로그램의 과정평가 대영역으로 도출한 평가영역은 교육프로그램 관리, 교수 학습 전략, 교육지원환경이다. 넷째, 인재개발 교육프로그램의 산출평가 대영역으로 도출한 평가영역은 영향력, 효과성, 지속가능성, 전이력이다. 이러한 인재개발 교육프로그램의 평가준거 분석과 대영역 도출에 관한 연구결과는 교육프로그램 평가의 체제적 접근에 기초자료가 될 것으로 판단된다.