• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.44-64
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• 2022

This study explored the elementary school teachers' experiences while teaching students with low achievement in science based on the grounded theory. In-depth interviews and analysis were conducted on 13 teachers with experiences in teaching students with low achievement in science within the last three years and more than five years of field experience until the theoretical saturation of data on the teaching experiences for students with low achievement in science. The analysis results were as follows. First, the teaching experiences of elementary school teachers for underachievers in science were classified into 119 concepts, 41 subcategories, and 17 categories. Based on the paradigm model, the categories were structured and presented as causal conditions, contextual conditions, intervening conditions, action/interaction strategies and consequences based on the central phenomenon of 'difficulty in teaching students with low achievement in science'. Second, the core category of elementary school teachers' teaching underachievers in science was assumed to be 'overcoming difficulties and teaching underachievers in science'. And according to the properties and dimensions of the core category, teachers who teaching students with low achievement in science were divided into four types: 'compromising-', 'overcoming-', 'accepting-', and 'conflicting-reality type'. Third, a conditional matrix was presented to summarize and integrate the results of this study by classifying the teaching experience of elementary school teachers for underachievers in science into educational providers and educational demanders. On the basis of these findings, educational implications for teaching students with low achievement in science were discussed.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.49-56
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• 2011

Because urban areas change rapidly, it is necessary to reflect urban changes in a digital map database in a timely manner. To address these issues, LiDAR data was used to detect changes in urban area buildings. The purpose of this study is to detect object-based building change using LiDAR data and existing digital maps, and classify change types. In the study, we classified change type using overlay and shape comparison with building layer of the digital maps and point-based extracted building outline from the LiDAR data. When applying the overlay method, we were able to increase the accuracy and objectivity of the change detection process throughout an adaptive threshold applied to each object. In the experiments, it was demonstrated that classifying and detecting changes in urban areas using the proposed method can provide superior classification accuracy compared with the existing methodology.

• Journal of The Korean Association For Science Education
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• v.33 no.2
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• pp.310-327
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• 2013

This study aims to develop teaching materials for scientific creativity and to introduce it in more detail. To do this, based on the analysis of the previous studies, we developed about 80 activities in five categories. Main features of the developed materials are as follows: (1) it covers various areas of creativity, (2) each activity includes elements of scientistic creativity, (3) each activity includes guides for thinking creatively and instances of the guides, (4) these guides are categorized to be utilized in other situations for teaching creativity, (5) the activities can be transformed according to actual teaching situations. The teachers gave responses that materials were appropriate to teach scientific creativity and that they wanted to use the materials in schools. And based on the teachers' response about the advantages, disadvantages, and conditions for more effective use of the materials, we hope that further studies for actual use and revisions on the materials will be conducted. Finally, we suggested various methods to use the developed activities for different purposes and educational situations.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.32-48
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• 2022

This study presented a spatial data serialization technique that can efficiently store and transmit large amounts of spatial data for precision road maps was designed and implemented. For efficient serialization, a binary spatial data structure is defined, and a coordinate value encoding technique without loss of information is designed using the Zigzag-Z-order curve. The spatial data serialization technique designed for precision road maps was tested, and the data size and encoding/decoding speed after encoding were compared with Protocol buffer and Geobuff. As a result, it was confirmed that the designed serialization method was excellent in data weight reduction performance and encoding speed. However, the decoding speed was inferior to other serialization techniques in linestring and polygon type spatial data. Through this study, it was confirmed that spatial data can be efficiently encoded, stored, and transmitted using binary serialization techniques.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.217-227
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• 2019

The purpose of this study had been conducted to figure out the relationship of DISC typy behavioral patterns between major satisfaction and job preference. The survey in this subject had been carried out for 192 dental hygiene students from April 1 to 10, 2019. The findings were as follows: Among the sub-factors of major satisfaction based on DISC typy behavioral patterns, S type is higher in the contents of instruction and the way of teaching, the type C and S are higher in school facilities and environments. Among the sub-factors of job preference based on DISC typy behavioral patterns, the type D is higher in honor, development and stability, the type S is higher in aptitude, interest, development, stability and working environment, and the type C is higher in aptitude and interest. As DISC typy behavioral patterns, major satisfaction, and job preference were found to be related to one another, this finding should be considered when teaching career guidance for college students.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.207-213
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• 2022

MBTI(Myer Briggs Type Indicator) is an effective personality type test to intuitively identify and classify people's tendencies. Accordingly, there are active attempts to apply MBTI to the learning area, but research on creating new learning types using MBTI is insufficient. Therefore, this paper examines the factors that affect learning and implements new learning types MY,STI(MY, Study Type Indicator) by applying them to a machine learning algorithm that has these characteristics. Data were collected by conducting a learning type test made with Google Forms on 144 general people, and supervised learning was used during machine learning. As a result, the accuracies of MY,STI were 0.933, 0.866, 0.844, and 0.733 for each learning method, learning motivation, presence or absence of external stimulus, and learning time criteria, respectively.

• Journal of Agricultural Extension & Community Development
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• v.21 no.1
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• pp.177-217
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• 2014

The purpose of this study is to examine the relation between Program Satisfaction and the leadership types of who participating in the program of village lifelong education leader. The detail goals of this study are to (1) understand the concepts about the training program of village lifelong education leader. (2) study the theory related to the leadership of village lifelong education leader. (3) examine the relation between program satisfaction and leadership types by personal characteristics. The results of this study are as follows: First, there is the significant difference between the transactional leadership and the exceptive management leadership which is the transactional leadership's sub-type in age. Second, there is the significant difference between the exceptive management leadership which transactional leadership's sub-type and charisma leadership that is transformational leadership's sub-type by participated in or not the lifelong education program before. Third, the average value of the transformational leadership is more higher than the transactional leader's average value. Fourth. the ranking of the transformational leaders' activities are as follows; (1) individual relationship (2) spiritual motivation (3) intelligence stimulus (4) charisma. Fifth, the ranking of the transactional leader's activities are as follows; (1) reward to achievement (2) exceptional management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.300-309
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• 2020

This study identified the types and dimensions of faculty-student interaction (FSI). A narrative methodology was applied within the qualitative research paradigm. Data was collected using individual in-depth interviews involving 10 students who had experiences of faculty-student interaction more than 6 times over the prior 6 semesters. Data was analyzed according to actors' perspectives, the motivation of actions, and actions toward goal achievement. Three major types of faculty-student interactions emerged from our analysis. First, the initiative interaction type reflects active characteristics of the narrator within FSI and is goal achievement-oriented. Second, the stereotyped interaction was characterized as a unified reaction to the FSI and not significantly related to self-development. Lastly, the reciprocal interaction reflected characteristics of narrators who had potential and flexibility for self-development in the circumstances involving support from professors. The results of this study indicate that faculty-student interaction does not represent the best way to support students for their successful school lives. Faculty needs professionality and sensitivity for student teaching, and students must exhibit curiosity and activeness in developing their knowledge. Positive outcomes from the FSI will be expected in supportive school environments.

• Journal of the Korean Geographical Society
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• v.41 no.6 s.117
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• pp.714-739
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• 2006

This study is to analyze the types and management of old maps collected by library and museum in Korea. About 1,200 items of old maps are collected in 39 institutes. This distribution is due to the scatter during late Joseon period through Japanese imperialism period. Half and half of old maps are reserved in museum and library. Atlas of county maps are reserved mainly in Gyujanggak, the National Library of Korea and Library of Korea University There are 10 copies of $\lceil$cheonggu-do(靑邱圖)$\rfloor$ and 25 copies of $\lceil$Daedongyeo-jido(大東輿地圖)$\rfloor$ put in together in all instutes. Forms of those maps in terms of size, picture and place names recorded are different between each other. Methods of management of those maps are different between library and museum. Old maps are treated as rare old books in library, but as traditional old picture in museum. Methods and levels of opening to public of maps are also different in each institute. More serious thing is that there is no specialist in old maps in most institutes.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.363-369
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• 2021

High-definition road maps are used as the basic infrastructure for autonomous vehicles, so the latest road information must be quickly reflected. However, the current drawing and structural editing process of high-definition road maps are manually performed. In addition, it takes the longest time to generate road lanes, which are the main construction targets. In this study, the point cloud of the road lane markings, in which color types(white, blue, and yellow) were predicted through the PointNet model pre-trained in previous studies, were used as input data. Based on the point cloud, this study proposed a methodology for automatically drawing and structural editing of the layer of road lane markings. To verify the usability of the 3D vector data constructed through the proposed methodology, the accuracy was analyzed according to the quality inspection criteria of high-definition road maps. In the positional accuracy test of the vector data, the RMSE (Root Mean Square Error) for horizontal and vertical errors were within 0.1m to verify suitability. In the structural editing accuracy test of the vector data, the structural editing accuracy of the road lane markings type and kind were 88.235%, respectively, and the usability was verified. Therefore, it was found that the methodology proposed in this study can efficiently construct vector data of road lanes for high-definition road maps.