• Journal of The Korean Association For Science Education
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• v.37 no.3
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• pp.453-464
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• 2017

The purposes of the study are to investigate the experiences of major stakeholders (i.e. science teachers, program instructors, local experts, etc.) who participated in implementing Community-Based Socioscientific Issues Programs (SSI-COMM) and to provide educational implications for further implementation. SSI-COMM dealt with three issues (i.e. abandoned pets, fine dust, and recycling) that students often encountered in their local community. Each program, lasting over 16 class periods in a free semester, included in-school and out-of-school activities in order to promote their interest and participation in community. Four teachers, four program instructors, and six local experts joined the interviews to explain their experience of participating in the programs. As a result, school teachers, program instructors, and local experts positively appreciated their experiences of the program implementation and perceived educational potentials of SSI-COMM. All the stakeholders mentioned that they became more interested in local socioscientific issues and strongly perceived the need for the implementation of such programs linked to their own community. The science teachers appreciated the opportunities to identify students' potentials through SSI-COMM and believed that SSI-COMM would contribute to reducing the gap between learning and practice. The program instructors, observed that out-of-school activities contributed to enhancing students' self-confidence and fulfillment in learning. Finally, the local experts obtained a sense of belonging to their community and were very satisfied with their contribution. The SSI-COMM programs are expected to be one of the educational models that will help to encourage the participation of students and stakeholders in facilitating educational activities in relation to the community.

• Journal of Christian Education in Korea
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• v.62
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• pp.101-133
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• 2020

This study is an attempt to grasp the fundamental characteristics and core structures of Bibliodrama, which has recently received a lot of attention in various fields including Christian education. Bibliodrama is a guided form of process-oriented staging of biblical texts in groups with the aim of mutually opening up the text and the biography of the participants in the implementation of holistic encounters (H. Aldebert). In the background of the birth of Bibliodrama can be found the hermeneutical efforts of the biblical scholar Walter Wink who sentenced the bankruptcy of historical criticism. He laid the biblical interpretative foundation for Bibliodrama which combines Bible and body. German theologian Gerhard Marcel Martin had a new experience of seeing the Bible through body activity during his life in New York, and based on that experience he began to work on the Bibliodrama. And the New Testament scholar Tim Schramm, who focused on the TCI (themecentered interaction) movement, found the optimal methodology to embody the interaction of biblical studies in Bibliodrama. On the other hand, Peter Pitzele, who wanted to realize the Bibliodrama in the tradition of Midrash, has developed a new type of Bibliodrama (Bibliolog) that is different from the European Bibliodrama. When we put together the positions of the pioneers of Bibliodrama, it turns out that it has three fundamental characteristics: body, interaction, and the empty space of the Bible. The body refers to the personality of learners participating in the Bibliodrama. They are not passive participants, but voluntary and active participants. Interaction is realized through the dramatic way of Bibliodrama. Bibliodrama aims for a dynamic process in which hermeneutical interaction occurs. The empty space of the Bible, which Bibliodrama pays attention to, allows us to understand why the Bible is not a fixed word but a living word that is still heard today. In order to understand the Bible as the content of education, Bibliodrama liberates the text that is fixed in a literal way and gives life by paying attention to the empty space of the Bible and reading it slowly.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.675-687
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• 2019

As interest in artificial intelligence increases, each university has been establishing a special graduate school with artificial intelligence major, and recently, the Korea government has established various support policies for artificial intelligence education. However, each university has a lot of difficulties because it has little experience in operating graduate education with the latest field of artificial intelligence and it is not easy to find experts. In this study, the response of graduate school students majoring in artificial intelligence was analyzed using IPA technique, and the direction of education of graduate school artificial intelligence major was searched. Among the 40 items surveyed by IPA, 12 items such as systematization of artificial intelligence curriculum, progress of class considering learning level, improvement of academic relations with guidance professors were extracted as items to be improved first. On the other hand, 8 items such as assistant capacity, and relationship with colleagues were overloaded, and twelve items such as instructor's lecture competency, appropriateness of educational contents, learner's artificial intelligence skills and knowledge, and attitude acquisition were to be maintained. In addition, eight items such as convergence education curriculum and diversity of education methods were all low in importance and performance. It is suggested that AI graduate school should be divided into two tracks(technical specialization, convergence expansion) by educational goal, and each track should be conducted by level-specific educational contents and methods suitable for student level. The curriculum should be elaborate and systematic to acquire AI knowledge, skills, and attitudes, and should have an individualized guidance system centered on excellent faculty members.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1047-1056
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• 2022

Sea ice, frozen sea water, in the Artic is a primary indicator of global warming. Due to its importance to the climate system, shipping-route navigation, and fisheries, Arctic sea ice prediction has gained increased attention in various disciplines. Recent advances in artificial intelligence (AI), motivated by a desire to develop more autonomous and efficient future predictions, have led to the development of new sea ice prediction models as alternatives to conventional numerical and statistical prediction models. This study aims to evaluate the performance of the two-stream convolutional long-and short-term memory (TS-ConvLSTM) AI model, which is designed for learning both global and local characteristics of the Arctic sea ice changes, for the minimum September Arctic sea ice from 2001 to 2021, and to show the possibility for an operational prediction system. Although the TS-ConvLSTM model generally increased the prediction performance as training data increased, predictability for the marginal ice zone, 5-50% concentration, showed a negative trend due to increasing first-year sea ice and warming. Additionally, a comparison of sea ice extent predicted by the TS-ConvLSTM with the median Sea Ice Outlooks (SIOs) submitted to the Sea Ice Prediction Network has been carried out. Unlike the TS-ConvLSTM, the median SIOs did not show notable improvements as time passed (i.e., the amount of training data increased). Although the TS-ConvLSTM model has shown the potential for the operational sea ice prediction system, learning more spatio-temporal patterns in the difficult-to-predict natural environment for the robust prediction system should be considered in future work.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.367-372
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• 2022

With the recent advent of the New Normal era, realistic technologies and non-contact technologies are receiving social attention. However, the hair styling field focuses on the direction of the hair itself, individual movements, and modeling, focusing on hair simulation. In order to create an improved practice environment and demand of the times, this study proposed a non-contact hair styling VR system. In the theoretical review, we studied the existing cases of hair cut research. Existing haircut-related research tend to be mainly focused on force-based feedback. Research on the interactive haircut work in the virtual environment as addressed in this paper has not been done yet. VR controllers capable of finger tracking the movements necessary for beauty enable selection, cutting, and rotation of beauty tools, and built a non-contact collaboration environment. As a result, we conducted two experiments for interactive hair cutting in VR. First, it is a haircut operation for synchronization using finger tracking and holding hook animation. We made position correction for accurate motion. Second, it is a real-time interactive cutting operation in a multi-user virtual collaboration environment. This made it possible for instructors and learners to communicate with each other through VR HMD built-in microphones and Photon Voice in non-contact situations.

• Journal of Korea Water Resources Association
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• v.55 no.8
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• pp.565-575
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• 2022

Recently, in the field of water resource engineering, interest in predicting time series water levels and flow rates using deep learning technology that has rapidly developed along with the Fourth Industrial Revolution is increasing. In addition, although water-level and flow-rate prediction have been performed using the Long Short-Term Memory (LSTM) model and Gated Recurrent Unit (GRU) model that can predict time-series data, the accuracy of flow-rate prediction in rivers with rapid temporal fluctuations was predicted to be very low compared to that of water-level prediction. In this study, the Paldang Bridge Station of the Han River, which has a large flow-rate fluctuation and little influence from tidal waves in the estuary, was selected. In addition, time-series data with large flow fluctuations were selected to collect water-level and flow-rate data for 2 years and 7 months, which are relatively short in data length, to be used as training and prediction data for the LSTM and GRU models. When learning time-series water levels with very high time fluctuation in two models, the predicted water-level results in both models secured appropriate accuracy compared to observation water levels, but when training rapidly temporal fluctuation flow rates directly in two models, the predicted flow rates deteriorated significantly. Therefore, in this study, in order to accurately predict the rapidly changing flow rate, the water-level data predicted by the two models could be used as input data for the rating curve to significantly improve the prediction accuracy of the flow rates. Finally, the results of this study are expected to be sufficiently used as the data of flood warning system in urban rivers where the observation length of hydrological data is not relatively long and the flow-rate changes rapidly.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.1
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• pp.129-141
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• 2024

Amidst the acceleration of digital transformation across various sectors, the financial market is increasingly focusing on the development of digital and electronic payment methods, including currency. Among these, Central Bank Digital Currencies (CBDC) are emerging as future digital currencies that could replace physical cash. They are stable, not subject to value fluctuation, and can be exchanged one-to-one with existing physical currencies. Recently, both domestic and international efforts are underway in researching and developing CBDCs. However, current CBDC systems face scalability issues such as delays in processing large transactions, response times, and network congestion. To build a universal CBDC system, it is crucial to resolve these scalability issues, including the low throughput and network overload problems inherent in existing blockchain technologies. Therefore, this study proposes a solution based on reinforcement learning for handling large-scale data in a CBDC environment, aiming to improve throughput and reduce network congestion. The proposed technology can increase throughput by more than 64 times and reduce network congestion by over 20% compared to existing systems.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.115-125
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• 2016

Recently, many attentions have been paid to conducting convergence research across diverse disciplines. Along with this convergence era, an IT-based multi-disciplinary convergence project, called EDISON (EDucation-research Integrated Simulation On the Net), has been launched to support the studies of researchers engaged in several computational science and engineering (CSE) fields and to boost learning motivations of CSE students. Since 2011, we have been successfully carrying out the EDISON project. EDISON as a cyber-learning platform enables CSE researchers to share their own high-performance computing (HPC) simulation softwares developed to solve their research problems accompanying large-scale computation and I/O and users to run the softwares with little constraints on the web. Also, the EDISON platform has been utilized as lecture material by many universities in Korea. This article introduces the construction and service statistics of this EDISON platform. Specifically, we explicate several distinctions between EDISON and existing other HPC service platforms and discuss a three-layered technical architecture of the EDISON platform. We then present the up-to-date service statistics of EDISON over the past four years. Finally, we conclude this article and describe future plans.

• Journal of The Korean Association For Science Education
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• v.36 no.3
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• pp.457-470
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• 2016

We investigated the conceptual and methodological characteristics of self-study as an innovational way with reflective research methods and explored the possibility of application of self-study in the field of science education by reviewing previous researches done in foreign countries. The results show that Self-study in education means the study of self, self-practice, self-thought, and so on in the teaching and learning context. It is a kind of new research method to pursue the improvement of teaching and learning practice with integrated perspectives on the context of instruction, identities of members, their beliefs and values, innovation agenda for better education, etc. This can be attained by collective and critical reflection in doing research. Most previous articles on the methodology of self-study suggested that the self-study should be more than just daily journals written only by her/him self. To do self-study in the academic way, they requested interaction with critical and cooperative colleagues, multiple but strict qualitative research methods, and participants' efforts for making better practice in instruction. Similar features to the above are found in the previous 14 self-study papers related to science education done in foreign countries. Based on the results, we concluded that self-study could be applied usefully into the field of science education in Korea. This paper could contribute to stimulation in the innovation of science instruction in a more practical way by increasing the attention to self-study and provoking its practice in Korea.

• Journal of Korean Home Economics Education Association
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• v.31 no.4
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• pp.81-95
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• 2019

This study examined the research trends of sustainable development education in the family life area, focusing on papers published in journals specialized in the Practical Arts (Technology & Home Economics) subject from 1989 to 2018. The papers from three journals were selected based on the titles, abstracts, and keywords for their contents related to sustainable development education. The results were analyzed by frequency analysis and cross-tabulation. Sustainable development education has surged since the mid-2000s when national interest on this topic sharply increased. Rather than focusing on particular content areas in home economics, most research was conducted through an integrated approach. More than half of the studies were conducted in experimental studies, with the largest number of studies involving elementary school students. Of the three components of ESD, research on society was most frequently conducted, followed by the environmental area. The contents of the home economics curriculum and the details of sustainable development were related. More related research should be conducted so that various sustainable development education can improve students' practical problem-solving ability through Practical Arts (Technology & Home Economics) curriculum.