• Journal of the Korean earth science society
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• v.41 no.2
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• pp.176-193
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• 2020

The purpose of this study was to explore the effects of science classes on positive science experiences and science learner identity, using smart devices in a future school: C middle school. We conducted a paired t test at the beginning and end of the first school year with first-grade students at the future school to investigate positive experiences with science (Shin et al., 2017). Additionally, first and second-grade students in future schools using smart devices wrote and drew their own depictions in science classes to explore science learner identity, based on a modified analytical framework (Luehmann, 2009). The results show that significant effects on science-related career aspirations, self-concepts, and academic emotions were produced by science classes using smart devices. Science classes using smart devices helped students improve their level of agency and activity, solve problems with immediate and sufficient feedback, and experience meaningful perceptions of the nature of science. On the other hand, if students were immature in terms of their use of smart devices, they felt pressured to participate in the classes. The results of this study can be used as a foundation for designing various classroom contexts for the use of smart devices.

• Journal of the Korea Society of Computer and Information
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• v.24 no.7
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• pp.153-160
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• 2019

This study aims to analyze the mutual influences between adolescents' multicultural acceptability and school adjustment. Research problems for research are as follows. First, is multicultural acceptability and school adjustment stable over time? Second, what is the longitudinal impact of school adjustment on multicultural acceptability over time? Third, what is the longitudinal impact of multicultural acceptability on school adjustment over time? The results of analyzing the research problems by applying the autoregressive cross-lagged model are as follows. First, the autoregressive model of school adjustment has a significant effect on the future time point and is stable over time. Second, the autoregressive model of multicultural acceptability have a significant effect on the future time point and is stable over time. Third, cross-lagged effect from school adjustment to multicultural acceptability has a statistically significant effect on the multicultural acceptability at a later time, and is stable over time. Fourth, cross-lagged effect from multicultural acceptability to school adjustment was not statistically significant at the time of multicultural acceptability, and there was no change with time. This study is meaningful to provide the theoretical and practical implications by verifying the influence of the three - year term data over time.

• Journal of Interdisciplinary Genomics
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• v.4 no.2
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• pp.31-34
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• 2022

Background: Arteriovenous malformations (AVMs) are rare diseases comprising abnormally dilated arteries and veins with an absence of a capillary network. Since these diseases are intractable after diagnosis, various treatment strategies have been examined, with continuous efforts to identify target genes. Here, we report relevant new target genes selected via gene microarray. Methods: Endothelial cells were isolated from samples collected from three patients with AVM and three healthy individuals, followed by microarray analysis. Additionally, quantitative PCR was performed to select genes highly relevant to AVM. Results: In the vascular endothelial cells derived from the tissues of patients with AVM, the expression of ANGPT1, ANGPT2, DLL4, IL6, NRG1, TGFBR1, and VEGFA was typically higher compared to those derived from normal tissues. Conclusion: Seven candidate genes were selected to analyze the pathophysiological mechanism of AVM. These results may aid in future directions of diagnosis and treatment.

• The Journal of Sustainable Design and Educational Environment Research
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• v.21 no.2
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• pp.11-24
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• 2022

The purpose of this study is to derive a curriculum environment for operating various student-centered teaching and learning methods, and the following results were derived: First, most of the lectures, discussions and consultations, data search, report preparation, presentation, work exhibition, and others were commonly derived, regardless of the types of long-term and short-term project classes for each subject. In particular, the necessity of operating various classes at the same time was suggested, indicating the need for an integrated teaching and learning operation environment in the unit subject class. Second, considering that practical classes are linked concurrently to lectures and discussion classes to conduct one subject class, it is necessary to switch to a specialized curriculum system that allows various classes such as lectures to be carried out at the same time. Third, as a result of grasping the appropriateness of the space size of the subject class for realizing different class types in the future, it can be seen that the space size of the practice room, including the space for practice and the area for exhibition, should be expanded. Based on the research results, the spatial environment for the operation of future teaching and learning classes is based on the public curriculum classroom system, and whether professional curriculum classes, such as lecture rooms and discussion and presentation rooms, are secured according to the number of students.

• The Journal of Sustainable Design and Educational Environment Research
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• v.19 no.1
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• pp.13-24
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• 2020

The purpose of this study is to analyze and match future teaching-learning methods with learning-space types as customized not only by school grade or grade groups, but also by learning modality. As a result, the following six teaching-learning methods were identified as future teaching-learning methods: flipped learning, deeper learning, collaborative learning, learning through immersive virtual reality, playful learning, and learning through OER(Open Educational Resources). There were also six learning-space types that were identified: playing and discovering space, a making and placement space, a presentation and sharing space, a space for independent study, space as a stage, and space as content(See Tables 8 and 11). Learning-space types and future teaching-learning methods were matched with 22 different types of learning modalities based on the presented degree of utilization by school grade or grade groups(See Table 13).

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.510-516
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• 2012

Recently, along with mechanization, automation, modernization of industry, because of decrease in the conventional job that provide labor and receive wages, the industrial society that require production workers have become overcrowded. accordingly, the unemployeds are increasing. in the future, in preparation for IT, content industry that stand on the basis of knowledge industry, we have to develop competitive IT, content industry based on creativity. in the center of the progress, art education holds a special place. However, recent our education is so concentrated in college entrance examination that art education is losing its footing. this paper try to search the basis of creativity for future industry in the art education, emphasize the importance and invigoration of school art education. by the increase of artistic sensitivity that can be attained through art education, we can promote the whole man that can be creative, change one's way of thinking and develop the ability of carving one's way and leading future society. Therefore, we need future education that can promote the whole man that can be creative, change one's way of thinking through revitalized art education.

• Asia Marketing Journal
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• v.15 no.3
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• pp.1-14
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• 2013

Our research brings managerial insights for developing new digital convergence of devices and services. To explain the phenomenon of device and service convergence, we combine two different approaches from separate research fields: a perceptual mapping technique generally used for segmentation in marketing and associative network analysis mobilized to understanding network structure of core and peripheral as well as the information mediating role of nodes in network science. By combining these two approaches, we provide an in-depth analysis of the associations among devices and services by assessing the centrality of device and service nodes in an associative network. This is done by examining the connections between these services and devices as well as investigating the role of mediation in the combined device-service associative network. Our results based on bi-partite network analysis of survey responses from 250 Internet Protocol (IP) television viewers show which device and which service will play the major role in future device and service convergence as well as which characteristics and functionalities have to be incorporated into future convergence. Among the devices, the mobile handset with the betweenness centrality of 0.26 appears to be the device that would lead future device convergence. Among the services, wireless broadband with the betweenness centrality of 0.276 appears to be the service on which future service convergence needs to be developed. This result is quite unexpected, since wireless broadband has a lower penetration rate than other services, such as fixed broadband and cable TV. In addition, we indicate the possibility of converging devices, such as personal digital assistant (PDA) and mobile handset, and services, such as IPTV and mobile Internet, into wireless broadband services in the future.

• Computers and Concrete
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• v.33 no.5
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• pp.559-572
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• 2024

Problems of under-sized dams (small dams with large basin area) could get worse under the global warming condition. This study evaluates the possible change of these problems with the Namgang Dam, an under-sized dam in Korea. For this purpose, first, this study simulates the dam inflow data using a rainfall-runoff model, which are then used as input for the reservoir operation. As a result, daily dam storage, dam release, and dam water supply are derived and compared for both past observed period (1973~2022) and future simulated period (2006~2099) based on the global warming scenarios. Summarizing the results are as follows. First, the inflow rate in the future is expected to be increased significantly. The maximum inflow could be twice of that observed in the past. As a result, it is also expected that the frequency of the water level reaching the high level is increasing. Also, the amount and frequency of dam release are to be increased in the future period. More seriously, this increase is expected to be concentrated on rather extreme cases with large dam release volume. Simply, the condition for flood protection in the downstream of the Namgang Dam is becoming worse and worse. Ironically, the severity of water shortage problem is also expected to become much worse. As the most extreme case, the frequency of no water supply was zero in the observed period, but in the future period, it becomes once every five years. Both the maximum consecutive shortage days and the total shortage volume are expected to become more than twice in the future period. To prevent or mitigate this coming problem of an under-sized dam, the only countermeasure at this moment seems to be its redevelopment. Simply a bigger dam with larger dam reservoir can handle this adverse effect more easily.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.67-78
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• 2024

Amidst the onset of the Fourth Industrial Revolution and the prominence of artificial intelligence, societal structures are undergoing significant changes. There is a heightened global interest in AI education for nurturing future talents. Consequently, this research aims to develop an AI-integrated Korean language curriculum for first-year high school students, utilizing the ADDIE model for instructional program development. To assess the program's effectiveness, pre-post assessments were conducted on future core competencies (Collaboration, Communication, Critical Thinking, Creativity) and knowledge information processing skills. The curriculum, spanning nine sessions and incorporating four small projects, sought to provide students with a new experience of AI-integrated Korean language education. As a result, students who participated in the program demonstrated improvement in future core competencies across all areas, and positive outcomes were observed in satisfaction levels and qualitative analysis. Through these findings, it is suggested that this program successfully integrates artificial intelligence into high school Korean language education, potentially contributing to the cultivation of future talents among students.

• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.4
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• pp.1-15
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• 2024

In recent years, climate change has been responsible for unusual weather patterns on a global scale. Droughts, natural disasters triggered by insufficient rainfall, can inflict significant social and economic consequences on the entire agricultural sector due to their widespread occurrence and the challenge in accurately predicting their onset. The frequency of drought occurrences in South Korea has been rapidly increasing since 2000, with notably severe droughts hitting regions such as Incheon, Gyeonggi, Gangwon, Chungbuk, and Gyeongbuk in 2015, resulting in significant agricultural and social damage. To prepare for future drought occurrences resulting from climate change, it is essential to develop long-term drought predictions and implement corresponding measures for areas prone to drought. The Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report outlines a climate change scenario under the Shared Socioeconomic Pathways (SSPs), which integrates projected future socio-economic changes and climate change mitigation efforts derived from the Coupled Model Intercomparison Project 6 (CMIP6). SSPs encompass a range of factors including demographics, economic development, ecosystems, institutions, technological advancements, and policy frameworks. In this study, various drought indices were calculated using SSP scenarios derived from 18 CMIP6 global climate models. The SSP5-8.5 scenario was employed as the climate change scenario, and meteorological drought indices such as the Standardized Precipitation Index (SPI), Self-Calibrating Effective Drought Index (scEDI), and Standardized Precipitation Evapotranspiration Index (SPEI) were utilized to analyze the prediction and variability of future drought occurrences in South Korea.