• Journal of the Korean Geographical Society
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• v.39 no.1
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• pp.153-168
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• 2004

This study begins with the interests of the problems in learning a region under the Korean National Curriculum in geography field and the perceptions on the region which affects students 'formation of regional concept. The purposes of this study are to find problems in learning a region and to construct a new content for learning a region to improve the current problems. This study suggests that it is necessary for student to establish a clear concept on a region in order to effectively learn a region. Therefore, this study reviews how concepts on a region have changed and selects important elements in learning a region by considering a level of students' understanding. The important elements selected in this study are the definition of a region, the formation of a region, and the system of a region. By learning a real region established as a 'region for instruction' of a medium scale, students can reach an appropriate level of meaningful understanding of a region. This study found that an appropriate selection of scale in choosing the extent of a region was critical in success of effective organization of learning contents.

• Journal of the Korean association of regional geographers
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• v.13 no.5
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• pp.595-607
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• 2007

The purpose of this paper is to investigate if any effects of GI cooperative learning method, which is compared to the effects of traditional competitive teaching-learning method on the students' academic attitude in middle school social studies classes. Conclusively, it is asserted to be a much more effective teaching-learning method. Some statistical evidences were gathered by questionnaire method just after the experimental classes being applied for a semester to the 241 first year middle school students in a small city. Using the t-test procedure, it is conformed that GI cooperative learning method can draw much more positive changes in the academic attitude of the students. In short, such positive changes in student's academic learning attitude can be related with the increase of self-trust in learning processes, the change in the conception of the subject, and the spontaneous interaction and verbal communication among the group members.

• Hwankyungkyoyuk
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• v.14 no.2
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• pp.95-105
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• 2001

Out-door learning activity in environmental education has been emphasized as an effective method in environmental education since the aims of environmental education emphasize students'value, attitude, actions as well as knowledge. In order to implement successfully out-door learning activity in environmental education classrooms, teachers'perceptions to environmental problems and experiences at fields are essential. An environmental education network among the metropolitan city and provincial office of education, nongovernmental organization of environmental movement and education and university was established and a teachers'in-service training program of out-door learning centered environmental education was implemented. The program was developed in order to 1) connect environmental education with the regional environmental situations, 2) provide teachers with opportunities to participate in an out-door learning program, and 3) train teachers to be environmental education leaders of out-door learning. For evaluation of the program, responses of participants to questionnaire were analyzed. Most of teachers responded that their perception of environment was changed positively after the participation in the program. This study suggested that a future planning of a teachers'in-service training program of out-door learning centered environmental education should be developed in considerations of arranging enough hours for out-door learning at regional environmental sites, applying performance assessment, providing teachers with multiple opportunities with programs in different levels including enriched programs, and establishing an environmental education network among nongovernmental organization of environment movement and education, university, and local offices and department of education.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.1
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• pp.19-38
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• 2010

Following the emergence of a knowledge-based economy, the role of universities in regional development has been re-evaluated through considering localized interactive learning processes. This paper tries to identify the role of universities for regional development and the variables effecting on their localized engagement in regional development. We argues that universities cannot be viewed as a single angle, because the behaviors of a university are influenced by the degree of their independence from regional and national governments. Likewise, the contributions of universities to their regional development can be differential depending on the organizational characteristics of individual universities, the social, political, and economical contexts of a given region and nation, and complex relations between and within universities and other regional stakeholders. These variables can be both the drivers and barriers when each university responds to regional needs. Based on the literature review, we suggest that the explanatory factors of shaping the engagement of universities in regional development can be classified into four categories: the characteristics of individual universities, the national context, the local and regional context, and the policy context.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.13-18
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• 2023

This paper aims to investigate data features for neighbor path selection (NPS) in computer network with regional failures. It is necessary to find an available alternate communication path in advance when regional failures due to earthquakes or forest fires occur simultaneously. We describe previous general heuristics and simulation heuristic to solve the NPS problem in the regional fault network. The data features of general heuristics using proximity and sharing factor and the data features of simulation heuristic using machine learning are explained through examples. Simulation heuristic may be better than general heuristics in terms of communication success. However, additional data features are necessary in order to apply the simulation heuristic to the real environment. We propose novel data features for NPS in computer network with regional failures and Keras modeling for computing the communication success probability of candidate neighbor path.

• Korean Journal of Organic Agriculture
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• v.28 no.4
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• pp.505-534
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• 2020

The purpose of this study is to explore the key elements of the regional innovative milieu by analyzing the role of regional innovative elements and case organizations that promoted the emergence of 'Songakdongnesaramdeul (the people of the Songak town),' and to present pertinent policy implications. For the purpose, this study set the "Songakdongnesaramdeul," a residential community organization founded for regional innovation to revitalize the village community, as a case organization from the perspective of regional innovation system theory. The result of the study showed that creating an innovative milieu through the creation of various innovation elements to revitalize the village community is crucial. Especially, this study confirmed that the existence of regional development organizations is the key element of the innovative milieu. such as case organization that contributes to regional development while promoting interaction between actors, common learning and systemization, and new value creation activities. The implications derived through the study can be summarized in four points. First, a variety of means to promote the formation of subjects in response to the public debate of the village agenda is needed. Second, it is highly important to create innovative elements, for example, organizations and programs, resources, and spaces that promote regional innovation. Third, forming a close network between various innovative resources existing in the region and establishing regional capabilities that allow to mobilize and utilize such innovative resources are important. Fourth, the establishment of a promotion mechanism such as a case organization is suggested as a major task, to revitalize the village community. Specifically, forming and revitalizing numerous private-based community organizations with regional developmental capabilities to establish local governance also has significant importance. In this vein, based on the point of view of the regional innovation system theory, the establishment of regional policies to construct a regional innovation milieu, such as creating innovative elements that can actively promote the regeneration of the village community and establishing a promotion system, can be presented as major tasks.

• Korea Trade Review
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• v.46 no.2
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• pp.281-299
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• 2021

This paper analyzes the feasibility of using machine learning methods to forecast the employment. The machine learning methods, such as decision tree, artificial neural network, and ensemble models such as random forest and gradient boosting regression tree were used to forecast the employment in Busan regional economy. The following were the main findings of the comparison of their predictive abilities. First, the forecasting power of machine learning methods can predict the employment well. Second, the forecasting values for the employment by decision tree models appeared somewhat differently according to the depth of decision trees. Third, the predictive power of artificial neural network model, however, does not show the high predictive power. Fourth, the ensemble models such as random forest and gradient boosting regression tree model show the higher predictive power. Thus, since the machine learning method can accurately predict the employment, we need to improve the accuracy of forecasting employment with the use of machine learning methods.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.4
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• pp.97-107
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• 2017

This study is to determine the coefficients of regression equations and to select the optimal regression equation in the LOADEST model after classifying the whole study period into 5 flow conditions for 16 watersheds located in the Nakdonggang waterbody. The optimized coefficients of regression equations were derived using the gradient descent method as a learning method in Tensorflow which is the engine of machine-learning method. In South Korea, the variability of streamflow is relatively high, and rainfall is concentrated in summer that can significantly affect the characteristic analysis of pollutant loads. Thus, unlike the previous application of the LOADEST model (adjusting whole study period), the study period was classified into 5 flow conditions to estimate the optimized coefficients and regression equations in the LOADEST model. As shown in the results, the equation #9 which has 7 coefficients related to flow and seasonal characteristics was selected for each flow condition in the study watersheds. When compared the simulated load (SS) to observed load, the simulation showed a similar pattern to the observation for the high flow condition due to the flow parameters related to precipitation directly. On the other hand, although the simulated load showed a similar pattern to observation in several watersheds, most of study watersheds showed large differences for the low flow conditions. This is because the pollutant load during low flow conditions might be significantly affected by baseflow or point-source pollutant load. Thus, based on the results of this study, it can be found that to estimate the continuous pollutant load properly the regression equations need to be determined with proper coefficients based on various flow conditions in watersheds. Furthermore, the machine-learning method can be useful to estimate the coefficients of regression equations in the LOADEST model.

• World Technopolis Review
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• v.1 no.2
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• pp.92-106
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• 2012

This study focuses on exploring the behaviours of high-tech start-up firms in response to the policy interventions undertaken to promote regional innovation in South Korea since 1997. High-tech start-ups and their technological entrepreneurship are increasingly considered by policy makers and academics to play a crucial role in the generation of innovation and economic development. However, this study started from a basic concern of why government intervention does not necessarily result in an increase of regional innovation capacity. To explain this concern, we constructed a new conceptual framework of 'government dependency' and apply this to 'Daedeok,' a regional innovation system in South Korea, to explore the reproduction of path dependency as an impact induced by innovation policy. This conceptual framework was developed by remodeling path dependency approaches through a systemic and interactive lens. An empirical study used qualitative interviews of start-up founders to delineate the emergence of a new development path and the extent to which dependency was reproduced in the Daedeok regional innovation system. Empirical analysis suggested that 'reliance' and 'persistence' were the crucial factors in the production and reproduction of the government dependency. Some firms accepted dependency as reliance, but others regarded it as policy utilization. Thus, a critical juncture could not be clearly identified in actors' behaviour. It was also unclear if dependency had hindered innovation, but it was shown that the regional and institutional contexts strongly influenced the reproduction process. The study concludes that the construct of government dependency can also provide useful insights into policy learning as well as the success of government interventions.

• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.599-608
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• 2018

As natural disasters are increasing due to the unusual weather and the modern society is getting complicated, the rapid change of the urban environment has increased human disasters. Thus, citizens are becoming more anxious about social safety. The importance of preparation for safety has been suggested by providing the disaster safety services such as regional safety index, life safety map, and disaster safety portal application. In this paper, we propose an application framework to predict the urban safety index based on user's location with realtime weather/atmosphere data after creating a predication model based on the machine learning using number of occurrence cases and weather/atmosphere history data. Also, we implement an application to provide traffic safety index with executing preprocessing occurrence cases of traffic and weather/atmosphere data. The existing regional safety index, which is displayed on the Si-gun-gu area, has been mainly utilized to establish safety plans for districts vulnerable to national policies on safety. The proposed system has an advantage to service useful information to citizens by providing urban safety index based on location of interests and current position with realtime related data.