• Journal of Elementary Mathematics Education in Korea
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• v.14 no.2
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• pp.217-239
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• 2010

This study is to understanding characteristics of Mathematical gifted children by comparing and analyzing of the learning strategies between gifted children and average students. The result of this study is as below. First, the mathematical gifted children's application ability on the cognitive meta-cognitive strategies and learning resources management strategies was higher than average students. Second, in case of learning resources management strategies between gender, male mathematical gifted students's t-test showed higher than female gifted students. Also, in case of average students, male student's t-test for the learning motive was higher than average female students. Third, mathematical gifted children are positive correlation among the learning motive, self-efficacy, cognitive meta-cognitive strategies, and learning resources management strategies. And in case of average student, it had a positive correlation among the learning motive, self-efficacy, and cognitive meta-cognitive strategies. But there is no correlation between learning strategies and cognitive meta-cognitive strategies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2573-2589
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• 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)
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• v.18 no.1
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• pp.30-45
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• 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.

• Culinary science and hospitality research
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• v.8 no.3
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• pp.123-146
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• 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.

• The Journal of Engineering Geology
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• v.34 no.1
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• pp.107-115
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• 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.

• Journal of Elementary Mathematics Education in Korea
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• v.19 no.1
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• pp.57-80
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• 2015

This study was to develop the mathematics test-preparation and the test-taking strategies scales for elementary school students. Elementary school students and teachers participated in developing factors and items of the mathematics test-preparation and test-taking strategies scales. The subjects were 857 students in 6th grade from 13 elementary schools in G-city. The variable-centered approach such as exploratory factor analyses, confirmatory factor analyses, and reliability analyses were used for validating the scales. The results of the study were as follows. First, the mathematics test-preparation and the test taking strategies scales for elementary school students consisted of three strategies: cognitive, metacognitive, and learning resources management strategies, respectively. Second, the mathematics test-preparation strategies scale for elementary school students comprised of three factors and 23 items, and the mathematics test-taking strategies scale three factors and 24 items. The scales could be used to assess elementary students' mathematics test-preparation and test-taking strategies and to further develop programs for enhancing strategies use.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.21-27
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• 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.

• The Journal of Information Systems
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• v.14 no.2
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• pp.75-99
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• 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.

• Management & Information Systems Review
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• v.3
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• pp.317-352
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• 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
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• v.34 no.2
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• pp.179-204
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• 2009

As the concern with the educational training for human resources development in organizations grows, various programs are being offered in many places. Accordingly, the issue of securing the validity of the education and the importance of its assessment at the level of continuous quality management of the programs draw our attention. The purpose of this study is to offer the basic data of evaluation criteria for human resources development which knowledge-and-information saturated society requires, and also to draw out the greater area of human resources development educational program based on CIPP(Context, Input, Process, Product) model by Stufflebeam, an evaluation model concentrated on process, through literature and case study in and out of Korea. The result of the study is as follows. First, the evaluation areas drawn out by the greater sphere of context evaluation of human resources education program are needs analysis, goal setting, and organizational environment. Second, the evaluation areas drawn out by the greater sphere of input evaluation of human resources education program are educational program strategies, human resources, and physical resources. Third, the evaluation areas drawn out by the greater sphere of process evaluation of human resources education program are educational program management, teaching-learning strategies, and educational support environment. Fourth, the evaluation areas drawn out by the greater sphere of product evaluation of human resources education program are influence, effect, durability, and transference. The author supposes that these results will be able to become the basic materials for the systematic approach to educational programs through the analysis of evaluation criteria for and the greater sphere of educational program of human resources development.