• Journal of The Korean Association For Science Education
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• v.31 no.4
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• pp.609-620
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• 2011

This study examined how pre-service science teachers, who observed classes for the gifted in science, perceive the gifted in science and the education they are getting, and explored what needs to be improved in the classes for the gifted in science. Based on the results of this study, first, pre-service science teachers were negative about the giftedness of the gifted in science. Second, they recognized that various types of classes were not provided. Especially, while theoretical lectures were mostly offered, they recognized that it had a negative influence in developing the potential giftedness of the gifted in science. Third, they were negative about the absence of programs for improving creativity and thinking skills and teaching materials for the gifted in science; however, they were positive about self-directed learning. Fourth, they had a negative opinion on educational facilities and the number of students in classes. Fifth, they recognized that potential giftedness would be developed the most when the lecturer is a professor majoring in the subject. For improvements in the classes for the gifted in science, they referred to revising the distinction focusing on preceding learning, reinforcing teaching methods to improve creative thinking, constructing creative contents regardless of specific grades and curriculum, securing learning materials for the gifted, and the necessity of lecturers specialized in the education for the gifted. Eventually, pre-service science teachers have negative cognitions for the classes for the gifted in science offered by universities, and it was known that they mentioned the necessity of creative educational courses and professional lecturers, not pre-learning for improvements.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.39-45
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• 2019

The aim of this research is to find out how convergent operation of the learning coaching and compensation system affects the academic self-efficiency and learning performance of university students. In the second semester, a compensation system was prepared based on learning coaching and learning outcomes, made a notice in advance, and conducted a survey before and after operation to measure the academic self-efficacy. In addition, the MLST-II Learning Strategy Diagnosis Examination was conducted on G university students to diagnose the learning tendency. As a result, although G University students felt a reluctance by coaching the learning community and expected negative results during the course of participation in the learning community due to low motivation and low expectation of results, they showed a significant improvement in academic self-efficiency and learning outcomes. Therefore, even students with negative learning tendency will need to consider how to operate these programs in the educational field, as the expert's learning coaching and compensation systems produce positive results for students' academic self-efficiency and learning outcomes rather than leaving them to autonomy.

• Journal of the Korean earth science society
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• v.32 no.3
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• pp.334-345
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• 2011

The purpose of this study was to find out inservice teachers' teaching skills and relevant educational settings that could be applied to an instruction of problem-based learning (PBL). Participants have been instructed PBL teacher training programs and applied PBL into teaching and learning process. Three elementary teachers were selected to participate in the study, and data were collected with semi-structured interviews. The interviews of the teachers in relation to PBL were analyzed by two main topics: (1) the teachers' teaching skills required in PBL and (2) the educational settings in implementing PBL. The results are as follows: First, there is a difficulty involved in the implementation of PBL in that its preparation and teaching process are different from the traditional teaching methodology. However, as a helper who guides the students to self-directed learning in the free and permissible learning environment in which students are motivated to develop their potential effectively, the teachers are to invest their time consistently and to put their efforts into making an effective class in the entire process of PBL. Second, as a method to apply the problem-based learning to the education settings, the teachers must spread the awareness of PBL to fellow teachers, students, their parents and the administrators in education and form the community of the teachers. Most importantly, when the teachers apply PBL in the directly, from the joy of witnessing the changes in the students, they will choose to adopt PBL.

• KIISE Transactions on Computing Practices
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• v.22 no.11
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• pp.614-618
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• 2016

As information on the internet and the data from smart devices are growing, the amount of stream data is also increasing in the real world. The stream data, which is a potentially large data, requires online learnable models and algorithms. In this paper, we propose a novel class of models: predictive convolutional neural networks to be able to perform online learning. These models are designed to deal with longer patterns as the layers become higher due to layering convolutional operations: detection and max-pooling on the time axis. As a preliminary check of the concept, we chose two-month gathered GPS data sequence as an observation sequence. On learning them with the proposed method, we compared the original sequence and the regenerated sequence from the abstract information of the models. The result shows that the models can encode long-range patterns, and can generate a raw observation sequence within a low error.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.123-130
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• 2021

With the recent developments in computer technology, there has been an increasing interest in the field of machine learning. This also has led to a significant increase in real business cases of machine learning theory in various sectors. In finance, it has been a major challenge to predict the future value of financial products. Since the 1980s, the finance industry has relied on technical and fundamental analysis for this prediction. For future value prediction models using machine learning, model design is of paramount importance to respond to market variables. Therefore, this paper quantitatively predicts the stock price movements of individual stocks listed on the KOSPI market using machine learning techniques; specifically, the reinforcement learning model. The DQN and A2C algorithms proposed by Google Deep Mind in 2013 are used for the reinforcement learning and they are applied to the stock trading strategies. In addition, through experiments, an input value to increase the cumulative profit is selected and its superiority is verified by comparison with comparative algorithms.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.109-123
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• 2024

Research into vision-based end-to-end autonomous driving systems utilizing deep learning and reinforcement learning has been steadily increasing. These systems typically encode continuous and high-dimensional vehicle states, such as location, velocity, orientation, and sensor data, into latent features, which are then decoded into a vehicular control policy. The complexity of urban driving environments necessitates the use of state representation learning through networks like Variational Autoencoders (VAEs) or Convolutional Neural Networks (CNNs). This paper analyzes the impact of different image state encoding methods on reinforcement learning performance in autonomous driving. Experiments were conducted in the CARLA simulator using RGB images and semantically segmented images captured by the vehicle's front camera. These images were encoded using VAE and Vision Transformer (ViT) networks. The study examines how these networks influence the agents' learning outcomes and experimentally demonstrates the role of each state representation technique in enhancing the learning efficiency and decision- making capabilities of autonomous driving systems.

• Communications of Mathematical Education
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• v.36 no.2
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• pp.287-311
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• 2022

This study was related to the cases in which pre-service elementary teachers designed math lessons tailored to math underachievers with learning trajectories and universal design for learning. Learning trajectories can be a basis to identify students' current state of understanding and development, and make a lesson plan responsively tailored to underachievers' state. And universal design for learning is a framework that removes potential barriers that may exist in math lessons from the time the lessons are planned, and guides the rich learning environment accessible to all learners. In order to provide an experience of designing math lessons considering the characteristics of math underachievers, this study required pre-service elementary teachers to create learning trajectories and make lesson plans with the principles of universal design for learning. The characteristics of the learning trajectories shown in the lesson plans and the results of applying the principles of universal design for learning were analyzed. By discussing the results, implications were derived regarding the necessity of lesson planning for math underachievers and the development of lesson planning competency of pre-service elementary mathematics teachers in teacher education.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.06a
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• pp.250-253
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• 2017

본 논문에서는 동시적 위치 추정 및 지도 작성 (simultaneous localization and mapping)에서 루프 폐쇄 검출을 딥러닝 방법의 일종인 variational autoencoder 를 이용하여 수행하는 방법에 대해 살펴본다. Autoencoder 는 비감독 학습 방법의 일종으로 입력 영상이 신경망을 통과하여 얻은 출력 영상과 동일하도록 신경망을 학습시키는 모델이다. 이 때 autoencoder 중간의 병목 지역을 통과함에도 불구하고 입력과 동일한 영상을 계산해야 하는 제약조건이 있기 때문에 이는 차원 축소나 데이터 추상화의 목적으로 많이 사용된다. 여기서 한 단계 더 발전된 variational autoencoder 는 기존의 autoencoder 가 가진 단점인 입력 변수의 분포와 잠재 변수의 분포 사이에 상관관계가 없다는 단점을 해결하기 위해 Kullback-Leibler divergence 를 활용한 손실 함수를 정의하여 사용했다. 실험결과에서는 루프 폐쇄 검출에서 많이 사용되는 City-Centre 와 New College 데이터 집합을 사용하여 평가하였으며 루프 폐쇄 검출의 결과는 정밀도와 재현율을 계산하여 나타냈다.

• School Mathematics
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• v.12 no.2
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• pp.239-257
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• 2010

In school mathematics the derivative concept is intuitively taught with the tangents and the concept of instantaneous velocity. In this paper, I investigated the long historical developments of the derivative concepts and analysed the relationships between the definition of derivative and the related elements. Finally I proposed some educational implications based on the analysis.

• Journal for History of Mathematics
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• v.24 no.4
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• pp.181-200
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• 2011

The focus of gifted education program for math should not only be on how to select gifted students but also on how to magnify students' potential ability. This thesis supports Vygotsky's view, which provides an insight into gifted education field as an 'acquired giftedness' theory. The issues in this thesis suggest proper classroom models for current gifted education program together with moderate classroom atmosphere and optimum role of teachers.