• Journal of the Korean association of regional geographers
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• v.7 no.1
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• pp.51-66
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• 2001

The curriculum of integrated social studies is not conceptually established, but various forms pursuing so-called perfect integrated subject have appeared from elementary school to high school. But we cannot find out desirable integration in the elementary school though the apparent goal is to integrate all kinds of social concepts into one unit. The current method of integration has some problems over advantages people initially expected by integration. It is problematic in that students learn fragmental knowledges of geography without capturing the whole geographical concept structure or obtaining their own geographical viewpoint. Therefore, we purpose to reinterpret integration of social studies and reorganize the current textbook into the right direction under the assumption that simple mixture of knowledges is far from our goal of true integration. For this purpose, we suggest a new method for social studies as an integrated subject. Instead of providing knowledges unrelated to each other into one bundle, it helps students to see the real world in his own knowledge framework equipped with geographical viewpoint. The text we claim will show students that geography consists of three key concepts: physical environment, man and environment, and spatial structure. With this text, they will have an easy access to the relationships between key concepts and details, and between geographical concepts and similar concepts from other disciplines. The proposal contributes to both upcoming textbook development and classroom teaching by eliminating problems in the current social studies teaching.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.269-281
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• 2017

Recently, the need for research into environmental and intrapsychic variables to promote active career preparation behavior is increasing, due to the increasing need to cultivate career preparation behavior starting from middle school. On the basis of this need, the purpose of this study is to identify the mediating effects of hope in the relationship between maternal learning involvement and career preparation behavior among middle school students. We surveyed 320 middle school students in W city, Gangwon-do, regarding these variables. We evaluated the results according to Baron and Kenny's (1986) mediating effect test procedure. The findings showed a significant positive correlation between positive maternal learning involvement, such as respecting their children's learning methods and providing academic information and advice, and the students' career preparation behavior and hope. However, the findings didn't show any significant correlation between negative maternal learning involvement, such as pressure for academic performance, and the students' career preparation and hope. Furthermore, hope was found to partially mediate the relationship between maternal positive learning involvement, including academic information and advice, and career preparation behavior, while fully mediating the relationship between career preparation behavior and respecting the students' learning methods. However, it did not have any mediating effect on the relationship between pressure for academic performance and career preparation behavior. These results highlight the important role that instilling hope in students, through respecting their learning methods and advising and providing the necessary academic information, plays in achieving a higher level of career preparation behavior.

• School Mathematics
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• v.16 no.1
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• pp.157-180
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• 2014

This study investigated relationships between academic stress and mathematics learning motivation focusing on the mediating effect of academic motivation types. It also tested differential structural relationship among the variables in the high vs. low academic achievement level groups and the boys vs. girls of middle schools. The participants were 952 second graders from five middle schools. Student scores from the standardized tests that were developed to assess the students' academic stress, mathematics learning motivation, and three types of motivation (amotivation, controlled motivation, and autonomous motivation) were used in this study. The results demonstrate that there were significant differences in the relationship patterns of the research variables. Correlation analysis provided evidences that academic stress was negatively related with mathematics learning motivation and autonomous motivation but positively related with amotivation and controlled motivation. Also, mathematics learning motivation was negatively related with amotivation and controlled motivation but positively related with autonomous motivation. Structural equation modelling analysis provided the evidence that the full mediation model was a significant, in that the students' types of academic motivation mediated the effect of academic stress on mathematics learning motivation. Multiple group analysis revealed that there were group differences in the path coefficients of the structural model. But the academic stress showed negative influence on the mathematics learning motivation via amotivation and autonomous motivation in all groups.

• Journal of Technology Innovation
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• v.23 no.3
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• pp.255-286
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• 2015

This study focuses on the role of supplier's organizational learning capacity in creating the outcomes of technological innovation based on buyer-supplier collaboration. In doing so, the study is carried out through mediating effect analysis using 221 small and medium enterprises among Korean manufacturers. As a result of empirical tests, buyer's indirect supports(knowledge, know-how, value, information sharing) have significant and positive effects on the outcomes of technological innovation, whereas direct supports(technical staff support, machine tools and test equipments support, education for facility utilization) show no statistical significance. In addition, a further test for mediation effects reveals that a full mediation exists between supplier learning capacity and buyer's direct support, while there is a partial medication effect for buyer's indirect support. The findings suggest that buyer's indirect support can take on more important role to enhance the outcomes of supplier's technological innovation.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.185-192
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• 2022

This study investigates the effect of the semi-supervised learning(SSL) method on predicting default risk of peer-to-peer(P2P) loans. Despite its proven performance, the supervised learning(SL) method requires labeled data, which may require a lot of effort and resources to collect. With the rapid growth of P2P platforms, the number of loans issued annually that have no clear final resolution is continuously increasing leading to abundance in unlabeled data. The research data of P2P loans used in this study were collected on the LendingClub platform. This is why an SSL model is needed to predict the default risk by using not only information from labeled loans(fully paid or defaulted) but also information from unlabeled loans. The results showed that in terms of default risk prediction and despite the use of a small number of labeled data, the SSL method achieved a much better default risk prediction performance than the SL method trained using a much larger set of labeled data.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.35-38
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• 2023

포트홀은 주행하는 자동차와 접촉이 이뤄지면 차체나 운전자에게 충격을 주고 제어를 잃게 하여 도로 위 안전을 위협할 수 있다. 포트홀의 검출을 위한 국내 동향으로는 진동을 이용한 방식과 신고시스템 이용한 방식과 영상 인식을 기반한 방식이 있다. 이 중 영상 인식 기반 방식은 보급이 쉽고 비용이 저렴하나, 컴퓨터 비전 알고리즘은 영상의 품질에 따라 정확도가 달라지는 문제가 있었다. 이를 보완하기 위해 영상 인식 기반의 딥러닝 모델을 사용한다. 따라서, 본 논문에서는 사전 학습된 딥러닝 모델의 정확도 향상을 위한 Feature Level Ensemble 기법을 제안한다. 제안된 기법은 사전 학습된 CNN 모델 중 Test 데이터의 정확도 기준 Top-3 모델을 선정하여 각 딥러닝 모델의 Feature Map을 Concatenate하고 이를 Fully-Connected(FC) Layer로 입력하여 구현한다. Feature Level Ensemble 기법이 적용된 딥러닝 모델은 평균 대비 3.76%의 정확도 향상을 보였으며, Top-1 모델인 ShuffleNet보다 0.94%의 정확도 향상을 보였다. 결론적으로 본 논문에서 제안된 기법은 사전 학습된 모델들을 이용하여 각 모델의 다양한 특징을 통해 기존 모델 대비 정확도의 향상을 이룰 수 있었다.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.457-467
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• 2019

The purpose of this study is to find out how those taking early childhood preservice teachers experience their learning through learner-centered education and the meaning given by such experiences to grasp their values. Especially, to look into experiences of learning the project approach theory studied and directly experienced, which is one of the early childhood educational approach methods, data on participatory observation, personal interviews, personal reflective journals, activity reports and ect. were collected and analyzed by the current writer, who fully participated in the class. The meaning of early childhood preservice teacher'experiences in the project approach was analyzed from the two aspects of 'my' learning activities and 'teacher's teaching activities. In the aspect of 'my' learning activities, they got indulged through purposeful practices in the process of tackling problems that originated from personal interest and wanted to share the joy of learning they'd had with others. Aware of themselves as doers of behavior and thinking, they were found to be able to focus an 'my' own learning activities based on these learning experiences of theirs. In the aspect of 'teacher's teaching activities, project theories and practices done at the same time helped them internalize the project and they learned possible changes ign the project by experiencing actual cases. To sum up, the project approach has its meaning in that it not only helps teachers learn theoretical knowledge but also have reflective thinking through their experiences as doers of learning and form practical knowledge. Accordingly, it indicates th need for intensive discussion on the project approach as a way to educate pre-teachers or current ones.

• The Journal of the Acoustical Society of Korea
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• v.23 no.2
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• pp.187-191
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• 2004

This paper describes an efficient algorithm to generate compact and complete prompts lists for connected spoken words speech corpus. In building a connected spoken digit recognizer, we have to acquire speech data in various contexts. However, in many speech databases the lists are made by using random generators. We provide an efficient algorithm that can generate compact and complete lists of digits in various contexts. This paper includes the proof of optimality and completeness of the algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.5
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• pp.46-50
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• 1997

In fuzzy logic control, static fuzzy rules cannot cope with significant changes of parameters of plants or environment. To solve this prohlem, self-organizing fuzzy control. neural-network-hased fuzzy logic control and so on have heen introduced so far. However, dynamically changed fuzzy rules of these schemes may make a fuzzy logic controller Fall into dangerous situations because the changed fuzzy rules may he incomplete or inconsistent. This paper proposes a new adaptive filzzy logic control scheme using a predictivc neural network. Although some parameters of a controlled plant or environment are changed, proposed fuzzy logic controller changes its decision outputs adaptively and robustly using unchanged initial fuzzy rules and the predictive errors generated hy the predictive neural network by on-line learning. Experimental results with a D<' servo-motor position control problem show that propnsed cnntrol scheme is very useful in the viewpoint of adaptability.

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.758-765
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• 2021

Recently, various research on the application of deep learning to video encoding for enhancing coding efficiency are being actively studied. This paper proposes a deep learning based intra prediction which uses multiple models by extending Matrix-based Intra Prediction(MIP) that is a neural network-based technology adopted in VVC. It also presents an efficient learning method for the multi-model intra prediction. To evaluate the performance of the proposed method, we integrated the VVC MIP and the proposed fully connected layer based multi-model intra prediction into HEVC reference software, HM16.19 as an additional intra prediction mode. As a result of the experiments, the proposed method can obtain bit-saving coding gain up to 0.47% and 0.19% BD-rate, respectively, compared to HM16.19 and VVC MIP.