• Journal of Families and Better Life
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• v.27 no.5
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• pp.69-76
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• 2009

This study aimed to develop cognitive-behavioral group counseling program for social problem-solving and career decision-making self-efficacy in incoming university freshman and to examine its efficacy through pre- and post-test. The program included cognitive restructuring, problem-solving and social skill training. The program consisted of 12 weekly sessions, approximately 1.5~2 hours in duration. Pre- and post-tests were administered to both a treatment group(n=48) and a control group(n=48). The collected data were statistically analyzed through ANCOVA. The main results of the study were as follows : The students in the treatment group showed a significant increase in both social problem-solving and career decision-making self-efficacy in comparison with those in the control group.

• Korean Journal of Social Welfare
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• v.58 no.1
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• pp.59-85
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• 2006

The purpose of this study was to identify how traumatic experiences and stresses caused hopelessness and depression among low-income residents, and to delineate what social problem solving capabilities might play roles in relation to the hopelessness theory of depression. For the purpose of the study, the target group of this study was restricted to adults over 20. This study recruited 175 low-income residents(the Beneficiary of National Basic Livelihood Security Act and the Near Poor Group) in Busan, Korea and employed a self-administered survey method during February, 2004. The following are the major results of the study. First, in low-income subjects, stresses showed positive influences on hopelessness. Second, in low-income subjects, stresses and hopelessness showed positive influences on depression. Third, stress influenced depression with hopelessness as the intervening variable, but it was not statistically significant path in traumatic experiences. The hopelessness theory of depression is to test whether the individuals who have negative attributional style and experience negative life events are likely to make negative attributions for the negative events they confront. The present study, using low-income residents, found that negative life experience predict negative attributions without negative attributional style. Fourth, social problem solving capabilities buffered the relationship between stress and hopelessness. It was also significant subscales apart from Positive Problem Orientation and Negative Problem Orientation. Fifth, social problem solving capabilities buffered the relationship between hopelessness and depression. It was also significant subscales apart from Negative Problem Orientation and Impulsivity/Carelessness Style. Based on the results, practice implications by identifying what social problem solving capabilities might play roles in hopelessness theory of depression were discussed.

• Journal of The Korean Association of Information Education
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• v.19 no.2
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• pp.197-206
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• 2015

The dissemination of smart appliances, along with the development of the latest information and communication technology has an effect on society. Their application can be seen in the smart learning environment, by use of digital textbooks with smart devices in the classroom. Hence in this study, the 4L-ACC activity using digital textbooks was applied in the third grade social studies class to improve critical thinking and problem solving skills of elementary school students. This study compared and analyzed the impact in critical thinking and problem-solving skills using digital textbooks versus standard social studies classes. As a result, in social studies classes that used the 4L-ACC activity compared to common social studies classes, elementary student's problem understanding, critical thinking, problem resolution, reflective thinking, and all lower areas of critical thinking and problem-solving were improved. In conclusion, using digital textbooks enhance student's ability to think critically and problem solve. This should provide learners a more comprehensive learning experience and therefore be integrated into more education environment.

• Journal of the Korean Society of School Health
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• v.9 no.2
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• pp.171-184
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• 1996

The purpose of this study was to investigate how much students stress have, how they cope with this stress, differences between problem behaviors and personality changes based on stress, and stress differing levels when coping with the situation either actively or passively The hypotheses were stated as follows. 1. There will be differences between problem behaviors and personality problems based on sex. 2 There will be differences between problem behaviors and personality problems based on grade. 3. There will be differences between problem behaviors and personality problems based on stress level. 4. There will be differences between problem behaviors and personality problems based on a student's ability to cope with stress. 5. Upper level students under lower stress and lower level students under higher stress will have more problems behaviors and more personality problems. 300 male/female high school students throughout the Seoul area were randomly selected. Of the 300 subjects that were sampled, 294 (Male=145, Female=149) actually participated in this study. The Stress Scale developed by Lazarus & Folkman (1984) Problem Behavior Scale, Personality Problem Scale, and Checklist were used and the conclusions are stated as follows. First, male students have more anti-social behavior and higher anti-social tendencies than female students and female students have more self-depreciation than male students. Second, upper level students have more anti-social behavior, self-ego, fabrication, and higher personality problems than lower level students. Third, students having too much stress have more anti-social behavior, self-ego, and fabrication and personality problems than students having less stress. Fourth, students coping with stress actively showed less self-ego and fabrication and less thought disturbance, anti-social tendencies, and self-depreciation than students coping with stress passively. Finally, upper level students under lower stress and lower level students under higher stress have more fabrication behaviors and more thought disturbance and self-depreciation.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.159-166
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• 2017

A 'wicked problem' is something that is hard to notice and not easy to perceive. This study focuses on understanding the precise concept of wicked problem through studying the background that led to the introduction of the term wicked problem. On the other hand, for social innovation, which has recently become a hot topic, it is necessary to identify wicked problem. Social innovation means solving in an innovative way that is more effective, efficient and sustainable than existing ones. As the beneficiary is not an individual but a society, it is in line with the field covered by wicked problem. Therefore, the study introduces a case in which wicked problems are solved through novel ways, that is, design thinking. Through the case study, it was confirmed that design thinking helps identifying problems that are not revealed and contributes to social innovation. As a result, we hope that this research will contribute to help solve the problems that we need to resolve in our society by using design thinking.

• Journal of Fashion Business
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• v.13 no.5
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• pp.93-101
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• 2009

The purpose of this study was to examine the effects of PBL (Problem based-learning) on the social psychology of clothing course. Thirty-seven undergraduate university students completed a 15-week capstone course in a clothing and textiles department. Eighty-one percent of the participants were majoring in the clothing and textiles. The study was conducted two focus group interview with 37 undergraduate students. The participants demonstrated positive attitude toward the PBL (Problem Based Learning) in Social Psychology of Clothing course. The results showed that the students have more opportunities to practice collaboration within the team and to increase their self-esteem and self-confidence through the 15 week of teamwork. The participants were developed to express their opinion actively and solving the problem skills. Eighty percent of the instructors had a positive attitude toward the achievement of the course objectives. Seventy-five percent of the instructors expressed the difficulty of student's evaluation. Fifty-five percent of the instructors had a difficulty of development of module problems.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.159-172
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• 2023

In general, social problem-solving research aims to create important social value by offering meaningful answers to various social pending issues using scientific technologies. Not surprisingly, however, although numerous and extensive research attempts have been made to alleviate the social problems and issues in nation-wide, we still have many important social challenges and works to be done. In order to facilitate the entire process of the social problem-solving research and maximize its efficacy, it is vital to clearly identify and grasp the important and pressing problems to be focused upon. It is understandable for the problem discovery step to be drastically improved if current social issues can be automatically identified from existing R&D resources such as technical reports and articles. This paper introduces a comprehensive dataset which is essential to build a machine learning model for automatically detecting the social problems and solutions in various national research reports. Initially, we collected a total of 700 research reports regarding social problems and issues. Through intensive annotation process, we built totally 24,022 sentences each of which possesses its own category or label closely related to social problem-solving such as problems, purposes, solutions, effects and so on. Furthermore, we implemented four sentence classification models based on various neural language models and conducted a series of performance experiments using our dataset. As a result of the experiment, the model fine-tuned to the KLUE-BERT pre-trained language model showed the best performance with an accuracy of 75.853% and an F1 score of 63.503%.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.83-110
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• 2023

This study deals with the process by which 'Social problem-solving R&D model' is established in Korean society through the evolution of the government's R&D program. We will examine the process by which a 'Social problem-solving R&D model', which was not present in companies, science and technology communities, and civil society, is formed through government R&D programs. To this end, we present a conceptual framework to analyze the process of co-evolution of 'Social problem solving R&D model', the organizational community that supports and implements it, and the institutions that supports the new model. In the synthesis, policy measures to enhance 'Social problem-solving R&D model' are dealt with.

• Journal of Families and Better Life
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• v.20 no.6
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• pp.61-68
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• 2002

Relations of regulation, negative emotionality and problem behaviors to school adjustment were examined for 1,105 elementary school children from 558 2nd grade and 547 5th grade. Children reported their regulation and negative emotionality and teachers rated children's problem behaviors such as hyperactive and withdrawal behaviors and school adjustment including school life, grades, social competence with peers and teacher. Measures of problem behaviors were highly contributed to the prediction of children's school adjustment, especially hyperactive to school life and grades and withdrawal to social competence with peers and teacher. Behavioral regulation was associated with school adjustment including school life and social functioning with teacher and was able to modulate the influence of hyperactive. It was found that depression had both direct and indirect effects via withdrawal behavior on school adjustment.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.616-631
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• 2019

With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.