• Journal of the Korean Geographical Society
• /
• v.47 no.6
• /
• pp.955-974
• /
• 2012

This study investigated six teachers who used the lessons utilizing geospatial technologies including GPS and Google Earth. The lessons were designed to ask students to solve problems with the technologies rather than to teach students to just use technology and teachers to function more as a facilitator. Key findings include: (1) The teachers with background and interest in learner-centered teaching were more effective in implementing the lessons with their students while the teachers who were familiar with teacher-centered instruction often reduced learners' roles in the lesson; (2) Generally, students expressed huge interests in the lessons. Changes in attitude and participation toward lessons were more clearly observed from low achievers and passive learners; (3) Key influencing factors in adoption of lessons utilizing geospatial technologies were school culture toward innovativeness, characteristics of school administrators, learning experience of the lessons during the workshops, and support systems for lesson preparation and implementation.

• Journal of the Korean association of regional geographers
• /
• v.10 no.3
• /
• pp.579-591
• /
• 2004

Recently more emphasis thinking is domain-specific by cognitive psychologists, because problem solving needs domain-specific knowledge. Improving students' geographical thinking should ensure that geographic skills are used when developing teaching-leaming objectives. Knowledge is undoubtedly important, but for the purpose of the teaching of geography thinking, skills are critical. The purpose of this paper is to make specification of geographic skills as a frame of reference for instructional objectives. Based on cognitive psychology, this paper examined the interdependence relationship between thinking and knowledge. Next, we attempt to conceptualize high order geographical thinking and relatively lower order geographic skills and to explore specification of geographic skills in complex thinking strategical perspectives.

• Journal of the Korean association of regional geographers
• /
• v.22 no.2
• /
• pp.397-410
• /
• 2016

Although industrial complexes have played as an engine of the Korean economy for the last 40 years, the majority of industrial complexes shows limitations to the continuous growth such as a lack of innovation capabilities and social capital, conceived as a key to transforming into clusters of innovation. To overcome those problems, the Korean government embarked on the cluster policy from the mid 2000's, focusing on promoting the endogenous development capabilities of individual industrial complexes. Drawing upon the in-depth case study of the Gumi IT cluster, one of the representative large-scale industrial complexes in Korea, the authors conclude that the cluster policy has contributed to making the Gumi IT cluster enhance the capabilities of endogenous development through the facilitation of self-organizing learning communities within the cluster.

• Journal of the Korean association of regional geographers
• /
• v.11 no.5
• /
• pp.349-367
• /
• 2005

The purpose of this paper is to establish three themes of regional instruction based on new regional geography and to examine explanation of space, understanding of place and judgement of environmental values for the Jinju regional instruction. Under the premise that region is the representation of space, place, and environmental perception, we reviewed location and space, event and place, development and environmental values in Jinju area. The results of the study are as follows: Owing to locational conditions, commercial agriculture, industrial and agroindustrial park, bio industry have been developed in Jinju. There are however some tasks that have to be solved such as rural investment, industrial park relocation and economic reconstruction. The Jinju castle combat, Farmers' resistance in 1862, Human right campaign for butchers in 1923, and educational conflict all occurred in the Jinju community. These events resulted in the integration and separation of the stratified citizens. They were represented as a variety of semiotics and landscape in the place. Citizens who live in Jinju are confronted with judging the environmental values. They ask whether inviting companies to town will ensure environmentally sound and sustainable development. The regional characteristics of knowledge, culture and environment in Jinju have been reproduced through the economic activity, place understanding, place marketing, and citizens' campaign.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.25 no.4
• /
• pp.63-80
• /
• 2022

As a technology to analyze and predict an issue has been developed by constructing real space into virtual space, it is becoming more important to acquire precise spatial information in complex cities. In this study, images were acquired using an unmanned aerial vehicle for urban area with complex landscapes, and land cover classification was performed object-based image analysis and semantic segmentation techniques, which were image classification technique suitable for high-resolution imagery. In addition, based on the imagery collected at the same time, the replicability of land cover classification of each artificial intelligence (AI) model was examined for areas that AI model did not learn. When the AI models are trained on the training site, the land cover classification accuracy is analyzed to be 89.3% for OBIA-RF, 85.0% for OBIA-DNN, and 95.3% for U-Net. When the AI models are applied to the replicability assessment site to evaluate replicability, the accuracy of OBIA-RF decreased by 7%, OBIA-DNN by 2.1% and U-Net by 2.3%. It is found that U-Net, which considers both morphological and spectroscopic characteristics, performs well in land cover classification accuracy and replicability evaluation. As precise spatial information becomes important, the results of this study are expected to contribute to urban environment research as a basic data generation method.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.26 no.3
• /
• pp.37-51
• /
• 2023

Spatial information is essential for interpreting urban phenomena. Methodologies for spatializing urban information, especially when it lacks location details, have been consistently developed. Typical methods include Geocoding using structured address information or place names, spatial integration with existing geospatial data, and manual tasks utilizing reference data. However, a vast number of documents produced by administrative agencies have not been deeply dealt with due to their unstructured nature, even when there's demand for spatialization. This research utilizes the natural language processing model BERT to spatialize public documents related to urban planning. It focuses on extracting sentence elements containing addresses from documents and converting them into structured data. The study used 18 years of urban planning public announcement documents as training data to train the BERT model and enhanced its performance by manually adjusting its hyperparameters. After training, the test results showed accuracy rates of 96.6% for classifying urban planning facilities, 98.5% for address recognition, and 93.1% for address cleaning. When mapping the result data on GIS, it was possible to effectively display the change history related to specific urban planning facilities. This research provides a deep understanding of the spatial context of urban planning documents, and it is hoped that through this, stakeholders can make more effective decisions.

• Journal of the Korean association of regional geographers
• /
• v.13 no.6
• /
• pp.623-638
• /
• 2007

This paper debates on two different theoretical positions in explaining corporate adaptation. Until the 1980s, a restructuring perspective had dominated in explaining corporate success and adaptation. However, this perspective pays little attention to how firms adapt to environmental change and why some firms adapt successfully, while some others fail to adapt. Thus a restructuring perspective does not give insights into a context-specific explanation of corporate learning and adaptation. More recently, especially since the 1990s, academic focus on corporate adaptation and evolution has shifted towards exploring the nature of learning that leads to the dynamic competitiveness. A learning perspective emphasizes the influence of knowledge, learning and competence on corporate evolution. However, it reveals that this view is also less appropriate for explaining corporate adaptation in radical shifts in environment. In this context, the evolutionary theories of the firm need to seek to maintain a balance between two theoretical positions in order to understand more effectively the dynamic evolution and adaptation of the firm. This paper shows that the dynamics of corporate adaptation and evolution are an outcome of the mixture of perpetual processes of restructuring and learning, both continuous and discontinuous.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.3
• /
• pp.297-308
• /
• 2001

We propose an algorithm which can reconstruct the 3D information from geographical information. The conventional techniques, the triangular patches and the Random Fractal Midpoint Displacement (RFMD) method, etc., have often been used to reconstruct natural images. While the RFMD method using Gaussian distribution obtains good results for the symmetric images, it is not reliable on asymmetric images immanent in the nature. Our proposed algorithm employs neural networks for the RFMD method to present the asymmetrical images. By using a neural network for reconstructing the 3D images, we can utilize statistical characteristics of irregular data. We show that our algorithm has a better performance than others by the point of view on the similarity evaluation. And, it seems that our method is more efficient for the mountainous topography which is more rough and irregular.

• Journal of the Economic Geographical Society of Korea
• /
• v.6 no.1
• /
• pp.61-77
• /
• 2003

Finns are central economic agents that play an important role in systems of innovation as they take responsibility for generating and diffusing knowledge in both organizational and societal context. They must be considered as learning organizations which interact with other finns and institutions that share their environment. The systems of innovation literature accentuates institutional conditions that influence innovation in sectoral, regional or national levels. Meanwhile, it tends to ignore the complex dimensions of finn practices in relation to learning and innovation activities. In this context, this paper attempts to examine what finns do for sustaining innovation and how they learn to innovate. This is not just critical to know individual finns innovativeness which depends on interactions with environments within and outside the organizational boundary but also to evaluate the regional innovation system potential. In short, it is important to see that finns would attempt to take advantage of distributed knowledge within and across the boundaries of the finn without sticking to particular regional innovation systems. I argue that the more finns of a cluster attempt not only to combine localized sources of knowledge and external sources of knowledge but also to become a learning organization, the more increased regional innovation system potentials can be.

• Journal of the Korean association of regional geographers
• /
• v.10 no.2
• /
• pp.466-478
• /
• 2004

Regional learning in social studies has an important educational meaning in that it is a tabloid edition of social studies and it also satisfies the regionalization of national curriculum. Social studies in Korea have mainly been led by the social study curriculum of elementary school. But the local textbook which was currently used in elementary school is structured in a negative meaning of regionalization rather than positive one. It is suggested in this study that the regional learning of social studies in middle school should be pursued by the co-work of teachers and students. For this purpose, the theoretical and practical processes to develop the local textbook are compared between two distinctive localities such as Sancheong and Seosan. At first, the relative ratio among the six strands is decided to develop several themes for regional learning, considering the landscape, region-related discourses and ecological environments in each region. Secondly, several themes are extracted to organize the contents of local textbook in each region. Lastly, examples of content-organization are suggested in each region. The processes above are just an example of content-organization, not a fixed one. The process, themes extracted, and the content-organization for each region may be changed according to the school location, local situation, and the quality of classroom.