• The Mathematical Education
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• v.62 no.1
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• pp.57-78
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• 2023

Students' engagement in lessons not only determines the direction and result of the lessons, but also affects academic achievement and continuity of follow-up learning. In order to provide implications related to teaching strategies for encouraging students' engagement in elementary mathematics lessons, this study implemented lessons for middle-low achieving fifth graders using open-ended tasks and analyzed characteristics of students' engagement in the light of the framework descripors developed based on previous research. As a result of the analysis, the students showed behavioral engagement in voluntarily answering teacher's questions or enduring difficulties and performing tasks until the end, emotional engagement in actively expressing their pleasure by clapping, standing up and the feelings with regard to the topics of lessons and the tasks, cognitive engagement in using real-life examples or their prior knowledge to solve the tasks, and social engagement in helping friends, telling their ideas to others and asking for friends' opinions to create collaborative ideas. This result suggested that lessons using open-ended tasks could encourage elementary students' engagement. In addition, this research presented the potential significance of teacher's support and positive feedback to students' responses, teaching methods of group activities and discussions, strategies of presenting tasks such as the board game while implementing the lessons using open-ended tasks.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.419-430
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• 2019

The study sought to find out the actual process of adapting to social life through interviews with college students and adult women living as defectors in the South, and to find out how it would be desirable to move forward in terms of education in order for all of our lives to be happy. The method of research consisted of semi-structured interviews. The interview period was four months. Based on the results of the interview, the following conclusions are given. First, it is necessary to establish a direction for strengthening cooperation rather than conflict in education, and restoring homogeneity of the same people. It is also true that real challenges are not easy at a time when the fratricidal war like the 6.25 conflict has deepened the conflict. However, at this point, 65 years later, the nation cannot stay only in the past. Second, the perception that they disapprove of economic aid to North Korean defectors also exists in part among adults. Third, negative thoughts about reunification among South Koreans also appear relatively high. This is believed to be due to the argument that the growth of social welfare and economic growth is offset by the increase in unification costs. Fourth, the content of living in real life such as culture and art, along with knowledge-oriented education in school education, should be treated with the same weight. This should create an environment in which North Korean defectors can enjoy the same happiness as South Koreans.

• The Journal of Korean Philosophical History
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• no.29
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• pp.203-230
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• 2010

This article is aimed for to state the rationality of Mojia and reveal the scientific meaning in the theories related to the motion of objects in Mojing: the basic approach to the principle of gravitation in building castle, and comprehension and application of the principle in the lever devised for improving productivity as well as in an inclined plane. It is denied in this article that the technical advance and the positive influence on the people is achieved by Mojias only because they were occupied in the filed of craft. Mojia was one of the schools of Qin in the early stage who realized how important science wass for the better society focused on humanity. Furthermore, they were the frontiers who pursued the proper society through science. Therefore, the scientific theories claimed by Mojia is not emphasized only on the deducting regularity of nature. Instead, it could be theorized only by guaranteeing the welfare for common people and having close relation to it. The Chinese philosophy in the early Twentieth century had vigorous interest in the Mojia's opinions in science and set about conducting study in this part. Based on the study, it was revealed that the Mojia's opinion toward motion is superior to that of the West. Furthermore, it was proved to reflect the main idea in Mojia: the love for common people. Particularly, the theories from Mojia can be so applicable to today's life that some scholars regret the lack of interest in Mojia for the time and even scold themselves for the retarded progress in science of China.

• 한국노년학
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• v.32 no.2
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• pp.611-629
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• 2012

This research examines the participation experience of a Focusing group program dealing with elderly depression, with the aim of providing a groundwork for developing and improving such programs. Qualitative analysis is performed based interviews conducted with 9 elderly clients with depression symptoms that participated in a 10 week Focusing group program. The results summarize into 3 themes, 3 categories per theme, and 3 sub-categories per category. The first theme is "program effectiveness" with three associated categories: Category 1) The reduction effect of the depression ; Category 2) Increased self-awareness, self-respect and acceptance experience; Category 3) Everyday life changes. The second theme is "expectation and difficulties of the program", with 3 related categories: Category 1) Expectation of program; Category 2) Difficulties of program; Category 3) Personal difficulties. The third theme is "program enhancement methods" with 3 affiliated categories: Category 1) Differentiation with other programs; Category 2) Improvement of program; Category 3) Post program direction. Based on the results of the analysis, the effectiveness of the Focusing group program for elderly depression is examined and suggestions are provided for further program improvements and applications.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.717-736
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• 2023

The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.1077-1086
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• 2023

The searchable encryption model allows to selectively search for encrypted data stored on a remote server. In a real-world scenarios, the model must be able to support multiple search keywords, multiple data owners/users. In this paper, these models are referred to as Multi Ranked Searchable Encryption model. However, at the time this paper was written, the proposed models use fully-trusted trapdoor centers, some of which assume that the connection between the user and the trapdoor center is secure, which is unlikely that such assumptions will be kept in real life. In order to improve the practicality and security of these searchable encryption models, this paper proposes a new Multi Ranked Searchable Encryption model which uses random keywords to protect search words requested by the data downloader from an honest-but-curious trapdoor center with an external attacker without the assumptions. The attacker cannot distinguish whether two different search requests contain the same search keywords. In addition, experiments demonstrate that the proposed model achieves reasonable performance, even considering the overhead caused by adding this protection process.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.81-89
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• 2023

In modern society, blind people face difficulties in navigating common environments such as sidewalks, elevators, and crosswalks. Research has been conducted to alleviate these inconveniences for the visually impaired through the use of visual and audio aids. However, such research often encounters limitations when it comes to practical implementation due to the high cost of wearable devices, high-performance CCTV systems, and voice sensors. In this paper, we propose an artificial intelligence fusion algorithm that utilizes low-cost video sensors integrated into smartphones to help blind people safely navigate their surroundings during walking. The proposed algorithm combines motion capture and object detection algorithms to detect moving people and various obstacles encountered during walking. We employed the MediaPipe library for motion capture to model and detect surrounding pedestrians during motion. Additionally, we used object detection algorithms to model and detect various obstacles that can occur during walking on sidewalks. Through experimentation, we validated the performance of the artificial intelligence fusion algorithm, achieving accuracy of 0.92, precision of 0.91, recall of 0.99, and an F1 score of 0.95. This research can assist blind people in navigating through obstacles such as bollards, shared scooters, and vehicles encountered during walking, thereby enhancing their mobility and safety.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.17-27
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• 2023

Today, as AI (Artificial Intelligence) technology develops and its practicality increases, it is widely used in various application fields in real life. At this time, the AI model is basically learned based on various statistical properties of the learning data and then distributed to the system, but unexpected changes in the data in a rapidly changing data situation cause a decrease in the model's performance. In particular, as it becomes important to find drift signals of deployed models in order to respond to new and unknown attacks that are constantly created in the security field, the need for lifecycle management of the entire model is gradually emerging. In general, it can be detected through performance changes in the model's accuracy and error rate (loss), but there are limitations in the usage environment in that an actual label for the model prediction result is required, and the detection of the point where the actual drift occurs is uncertain. there is. This is because the model's error rate is greatly influenced by various external environmental factors, model selection and parameter settings, and new input data, so it is necessary to precisely determine when actual drift in the data occurs based only on the corresponding value. There are limits to this. Therefore, this paper proposes a method to detect when actual drift occurs through an Anomaly analysis technique based on XAI (eXplainable Artificial Intelligence). As a result of testing a classification model that detects DGA (Domain Generation Algorithm), anomaly scores were extracted through the SHAP(Shapley Additive exPlanations) Value of the data after distribution, and as a result, it was confirmed that efficient drift point detection was possible.

• Korean Journal of Culture and Social Issue
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• v.11 no.3
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• pp.67-89
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• 2005

This overview study of mass culture is based on an academic point of view and based thereon an investigation of mass culture from a psychological standpoint follows. This study reviewed previous studies of mass culture that have been done so far divided into Producer-oriented, Text Decoding-oriented, and Recipient Theory, according to subjects of the study. The studies were also reviewed from the viewpoints of industry, consumer science, education, and developmental psychology. Further, it was discussed how trends and limitations in research were covered according to each viewpoint on mass culture. Based on the analysis, this study aims to promote overall psychological interest in studies of mass culture; to present the necessity of analysis and measurement of emotional experience on mass culture; to increase the roles of industrial and consumer science approaches in terms of planning and culture; to change the viewpoint of developmental psychology that accepts youth culture positively; and, to present interdisciplinary studies related to mass culture. Mass culture has already penetrated deeply into real life but there are few analyses and interpretations of mass culture in terms of psychology. This study is meaningful from the aspect that discussion of mass culture has been placed in a position that recognizes the entity of and interest in mass culture. Through this study, I hope that the scope of interest in psychology will expand and that approaches to mass culture will become more diversified.

• Journal of Korean Elementary Science Education
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• v.43 no.1
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• pp.136-147
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• 2024

It has recently be emphasized in science education that lessons that can develop "scientific participation and action" should be implemented to scientifically recognize various problems and respond to them as well as risks that occur in real life. This study aims to analyze the characteristics of scientific participation and action lessons as perceived by the preservice primary school teachers. To do that, the researchers collected and analyzed the lesson plans designed by the preservice teachers based on the achievement standard related to noise for grades 3-4 in 2022 revised science curriculum. Focusing on the stages of "problem recognition," "data collection and analysis," and "implementation and sharing," the results identity the four main characteristics as problem-solving activity, inquiry activity, investigative activity, and activity that encourages practical actions. The two or three features were found to be combinated in a lesson depending on its context. In some cases, only one feature was seen in a lesson. Based on the results, educational implications were discussed in terms of the teaching and learning methods and teacher education for implementing scientific participation and action.