• Journal of Korea Multimedia Society
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• v.24 no.1
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• pp.13-20
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• 2021

A Wasserstein GAN(WGAN), optimum in terms of minimizing Wasserstein distance, still suffers from inconsistent convergence or unexpected output due to inherent learning instability. It is widely known some kinds of restriction on the discriminative function should be considered to solve such problems, which implies the importance of Lipschitz continuity. Unfortunately, there are few known methods to satisfactorily maintain the Lipschitz continuity of the discriminative function. In this paper we propose techniques to stably maintain the Lipschitz continuity of the discriminative function by adding effective regularization terms to the objective function, which limit the magnitude of the gradient vectors of the discriminator to one or less. Extensive experiments are conducted to evaluate the performance of the proposed techniques, which shows the single-sided penalty improves convergence compared with the gradient penalty at the early learning process, while the proposed additional penalty increases inception scores by 0.18 after 100,000 number of learning.

• Educational Technology International
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• v.7 no.1
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• pp.39-57
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• 2006

Supporting individual or group learners through designing effective learning environment has been major concern for instructional technologists. In CSCL environment, the effectiveness of learning depends not only on the design of the learning incidences but also on that of psychological environment because in CSCL the learners encounter virtually a new environment deviate from the ordinary physical world. CSCL is one of the most demanding environment for learners and thus it requires a highly refined learner support mechanisms. The purpose of the research was to devise conceptual tools for supporting learners in CSCL environment. Especially, the researchers tried to develop special kinds of scaffolding that directly support the collaborative practice in the social and psychological dimension of the learner. Body of literature on scaffolding has been reviewed and effective CSCL environments were observed and analyzed. As a result of the study, the research proposes a new type of scaffolding, named as "collaboration scaffolding" as a conceptual tool for supporting learners in CSCL environment. Also the research suggests three subtypes of scaffolds as the most typical collaboration scaffolding; emotional scaffolds, facilitative scaffolds, and exploratory scaffolds.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.233-238
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• 2023

In the Fourth Industrial Revolution era, creative ideas are creating enormous value. This study conducted a case study on curriculum management plans aimed at protecting ideas and their results, recognizing the importance of intellectual property (IP), and cultivating basic knowledge about intellectual property. In particular, this study looked at ways to quickly learn related issues regarding new intellectual property rights related to computer software and artificial intelligence. In addition, research was conducted on ways to learn about efficient protection and utilization of inventions through actual examples. This study checked the importance and necessity of the interaction and communication between instructors and learners through the status of distance learning in domestic universities and a case study of distance learning of convergence subjects. We aim to continuously research effective class management methods and contribute to academic development through case studies of convergence subjects.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.63-71
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• 2024

Deep reinforcement learning (RL) significantly influences autonomous vehicle development by optimizing decision-making and adaptation to complex driving environments through simulation-based training. In deep RL, an activation function is used, and various activation functions have been proposed, but their performance varies greatly depending on the application environment. Therefore, finding the optimal activation function according to the environment is important for effective learning. In this paper, we analyzed nine commonly used activation functions for RL to compare and evaluate which activation function is most effective when using deep RL for autonomous vehicles to learn highway merging. To do this, we built a performance evaluation environment and compared the average reward of each activation function. The results showed that the highest reward was achieved using Mish, and the lowest using SELU. The difference in reward between the two activation functions was 10.3%.

• Hwankyungkyoyuk
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• v.22 no.2
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• pp.23-42
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• 2009

The purpose of this study is to investigate the influences of water environmental program using PBL on pro-environmental behavior for 4th graders in elementary school. The results of this study are as follows. First, the experimental group is more effective in promoting the pro-environmental attitude compared with the control group. Second, the experimental group is more effective in promoting the pro-environmental behavior compared with the control group. Third, the experimental group is not more effective in promoting the pro-environmental knowledge compared with the control group. Fourth, students are concerned and interested in the environment and environmental problems of the daily-life. And, they presented positive attitude and active participation toward environmental preservation. So, the process of PBL using water environmental program showed that it promotes active learning participation and various action. In conclusion, the environmental education program through PBL program has a positive effect on pro-environmental attitudes and behavior of elementary school students. It is demanded that more intensive research on this study should be done, linking with teaching and learning method, as a follow-up activity.

• Journal of Engineering Education Research
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• v.18 no.3
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• pp.3-12
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• 2015

The aim of this paper is to provide teacher awareness and the status of robot based instruction(RBI) by focusing on the school curriculum. To gather that information, we conducted a questionnaire survey composed of six items to 116 teachers who have had experiences on RBI. The questions are about the fit school year for RBI, the fit subjects for it, the possibility of applying it to regular subject, the fit students' learning levels for it, the fit learning styles for it and effective methods to apply it to regular subject teachers. The result is as follows: (1) RBI is suitable for fifth and sixth grade in elementary school and all grades in high school. (2) It is suitable for all regular subjects in all schools. (3) It is more effective for the students who have average learning level. (4) It fits into introverted students more than the other style of learners. (5) It is likely to be more effective in supporting of learning and understanding of the contents than merely assisting the teachers' instruction. (6) The teachers showed positive awareness on applying RBI to subject of creative activities. The results are significant in relation to the following two views. First, we can get the positive possibility in applying school curriculum using RBI. Second we can foresee that RBI will provide an innovative paradigm to school curriculum. In addition, the results of this paper can be used as preliminary information for developing models and programs on RBI.

• Journal of the Korean earth science society
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• v.25 no.3
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• pp.119-128
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• 2004

This project was carried out under the assumption that applying a science history program to a teaching-learning process would lead to students' increased interest in science and increase the development of their scientific process skills. The project aimed at designing an effective science history program which would help to improve students' scientific process skills, to enhance their interest in learning science, and to maintain their inquiry learning abilities. The survey for the activity objectives was produced by the authors. The test items used for testing students' scientific attitude and scientific process skills were created by Korea National University of Education. The survey about scientific perception indicated that there was a meaningful difference of p=0.005 before and after implementing this program. The survey about scientific interest shows that students became interested in science, science-learning and science-related activities after participating in the science history program. Students' scientific process sills increased by 9% after the program was implemented in the subjects' classes. This indicates that the science history program was effective in improving students' science scientific process skills. Since this project, which targeted 8th grade science education activities, has proven to be effective, developing other programs suitable for younger and older students seems promising, too.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.274-284
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• 2021

Customized services to a sleep induction for better sleepcare are more effective because of different satisfaction levels to users. The EOG data measured at the frontal lobe when a person blinks his eyes can be used as biometric data because it has different values for each person. The accuracy of measurement is degraded by a noise source, such as toss and turn. Therefore, it is necessary to analyze the noisy data and remove them from normal EOG by filtering. There are low-pass filtering and high-pass filtering as filtering using a frequency band. However, since filtering within a frequency band range is also required for more effective performance, we propose a machine learning model for the filtering of EOG data in this paper as the second filtering method. In addition, optimal values of parameters such as the depth of the hidden layer, the number of nodes of the hidden layer, the activation function, and the dropout were found through experiments, to improve the performance of the machine learning filtering model, and the filtering performance of 95.7% was obtained. Eventually, it is expected that it can be used for effective user identification services by using filtering model for EOG data.

• Journal of Broadcast Engineering
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• v.25 no.2
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• pp.157-165
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• 2020

In this paper. we propose an effective compensation scheme to the quantization error arisen from quantized learning in a machine learning on an embedded system. In the machine learning based on a gradient descent or nonlinear signal processing, the quantization error generates early vanishing of a gradient and occurs the degradation of learning performance. To compensate such quantization error, we derive an orthogonal compensation vector with respect to a maximum component of the gradient vector. Moreover, instead of the conventional constant learning rate, we propose the adaptive learning rate algorithm without any inner loop to select the step size, based on a nonlinear optimization technique. The simulation results show that the optimization solver based on the proposed quantized method represents sufficient learning performance.

• Journal of Technologic Dentistry
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• v.43 no.4
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• pp.186-193
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• 2021

Purpose: The purpose of the study was to determine the general characteristics of students in dental technology departments; the correlations among their immersion in learning, class satisfaction, and academic achievement; factors influencing online learning experience; ways to improve students' class satisfaction; and basic data for designing effective online courses. Methods: A total of 300 questionnaires were produced and distributed to dental technology students from September 29 through October 8, 2020. The outcome was analyzed using IBM SPSS Statistics ver. 25.0. A significance level of α=0.05 was used for reliable verification. Results: Immersion in learning, class satisfaction, and academic achievement were relatively high among students who studied on a regular basis, and class satisfaction and academic achievement were relatively high among students who studied with almost no interruption. Concerning the correlations between academic achievement, immersion in learning, and class satisfaction in online learning, the correlation between academic achievement and class satisfaction was the highest at r=0.862. Class satisfaction was the largest factor that influenced academic achievement, and the higher students' immersion in learning and class satisfaction were, the higher their academic achievement was. Conclusion: The research is a case study that investigated the general characteristics of dental technology department students and the correlations among their immersion in learning, class satisfaction, and academic achievement. The study outcome could be used in determining factors that influence online learning and designing effective online courses that improve learner satisfaction.