• Journal of Engineering Education Research
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• v.23 no.3
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• pp.13-19
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• 2020

The purpose of this study is to develop and apply a make-a-thon program based on engineering problem solving for science high school students and to analyze the changes of participating students. Through the consultation of teachers and experts, a team-based and student-driven engineering problem-solving-oriented make-a-thon program was developed. And, the program operated using KAIST's human and material resources for 51 students. Students composed of 12 teams studied 12 topics through an engineering problem-solving process, and the overall program satisfaction was very high, on average 4.62. Through this program, students' creative leader competency have been positively changed, especially in cognitive characteristics (diffusion thinking, problem solving ability) and social characteristics (pursuit of social values). Attitudes toward engineering also changed positively, especially in terms of difficulty of engineering, interest in engineering, gender role in engineering, and engineering and occupational factors. In conclusion, it was confirmed that this program is very effective for science high school students with high demand for engineering education.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.257-270
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• 2010

This study investigated preschoolers' happiness, behavior problems, and interpersonal problem solving strategies according to their sex and age, and the relationships among them. The subjects were 185 preschoolers (97 boys and 88 girls; 83 four-year-olds and 102 five-year-olds). Results showed that boys were higher in behavior problems (aggression) and forceful problem solving strategies than girls, while girls were higher in happiness (characteristics of self) than boys. Also, 4-year-old children were higher in forceful problem solving strategies than 5-year-olds. Children's happiness was negatively related to their internalizing and externalizing behavior problems. Behavior problems and interpersonal problem solving strategies of children were influenced by their happiness. These findings provide preliminary evidence that children's happiness may predict their behavior problems and interpersonal problem solving strategies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1284-1291
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• 2015

This study was conducted as a descriptive study with the aim of identifying the effects of clinical nurses' resilience and social problem solving abilities on burnout. Data collection for the study was carried out between May $30^{th}$ and June $19^{th}$, 2013 by surveying 192 clinical nurses working in university medical centers and general hospitals located in D city. Measures were subjects' resiliency, social problem solving abilities, and burnout. For the analysis of the data, the statistical methods of frequency, mean and standard deviation, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression analysis were employed. When the category of burnout was analyzed by general features, placement in a desired department and size of hospital, there were significant differences. Burnout correlated negatively with resilience and social problem solving abilities. Factors affecting clinical nurses' burnout were identified in the order of resilience, size of hospital, social problem solving abilities, and placement in a desired department and the explanatory power was 43.1%. The findings of the study indicate that in order to decrease clinical nurses' burnout, their resilience and social problem solving abilities have to be enhanced.

• 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%.

• Korean Journal of Culture and Social Issue
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• v.19 no.3
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• pp.389-407
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• 2013

This study investigated the mediating effects of depression on the relationship between perceived problem solving ability and suicidal ideation. 548 college students were examined with PSI(Problem Solving Inventory), BDI(Beck Depression Inventory) and SSI(Scale for Suicidal Ideation). To explore the relationship among these variables, correlation analysis was undertaken. Regression analysis was then applied to test the mediating effects of depression. In the results, perceived problem solving ability, depression and suicidal ideation were correlated positively. Depression operated as a factor to mediate between the perceived problem solving ability and suicidal ideation. This mean that perceived problem solving ability impact indirectly, rather than directly, on suicidal ideation. These results suggest the importance of psychological intervention to improve depression and perceived problem solving ability that affect suicidal ideation.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.301-311
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• 2018

Purpose: The purpose of this study was to examine the effects of the simulation-based cooperation program on self-efficacy, social problem-solving ability and college life adjustment of health college students. Methods: A nonequivalent control group pre-posttest design was used. Sixty-eight students were in the experimental group receiving the simulation-based cooperation program, and 68 were in the control group with no treatment. Results: There were significant increases in self-efficacy(z=-4.70, p<.001) and college life adjustment(t=2.03, p<.05) in the experimental group compared to the control group. However, there was no difference in the social problem-solving ability (z=-1.87, p=.061) between the experimental and control groups. Conclusion: The findings indicate that the simulation-based cooperation program has a significant effect on improving self-efficacy and college life adjustment in health college students. Thus the simulation-based cooperation program to promote the social problem-solving ability needs to be more developed and research related with cooperation program is further needed.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.2
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• pp.252-261
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• 2008

Purpose: The purpose of this study was to explore how an educator can empower students by fostering communication, problem-solving, and self-directed learning ability. Method: In order to accomplish this purpose, 136 students who were attending J University and 105 students attending M University participated in the questionnaire. The students were freshman in the nursing or social welfare departments, There were 136 in the control group and 105 in the experimental group. The control group was given an applicable class of project learning. On the other hand, the experimental group was given traditional lessons once a week for 15 weeks. The research instrument used the measuring instruments developed by KEDI for communication and problem-solving and self-directed learning ability. Data was analysed by ANCOVA with SPSS/PC. Result: The results of analysis show that communication, problem-solving, and self-directed learning ability significantly increased in the experimental group. Conclusion: Based on the research finding, project learning has an educational value. Interdisciplinary cooperation project learning is effective for communication, problem-solving, and self-directed learning ability.

• Journal of Families and Better Life
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• v.15 no.1
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• pp.225-237
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• 1997

The Purpose of this study was to examine how children's perceptuions of parental childrearing behaviors and family support were related to their interpersonal problem-solving behaviors. 580 subjects of the 5th 6th grades filled out questionnaires concerning the three research variables. The data were analyzed through correlation analyses and regression analyses. The results were as follows: The significant correlations were found between parental warmth·acceptance and children's interpersonal problem-solving behavior and between family support and problem-solving behaviors. Problem-solving behaviors showed higher correlations with maternal warmths·acceptance than paternal behaviors and with opposite-sex parents behaviors than with same-sex parents behaviors. Family support predicted children's social problem-solving behaviors better than parental warmth·acceptance especially among boys.

• Educational Technology International
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• v.12 no.1
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• pp.125-145
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• 2011

Facilitating critical thinking is important for students' cognitive growth and knowledge acquisition. This study examines the dimensions of tutors' roles in facilitating the critical thinking required for problem solving in online discussions. The research procedures include identifying the research problems related to critical thinking skills; synthesizing theories and perspectives on critical thinking skills; and analyzing, validating, and determining tutors' roles. Using the results of this study, problem solving processes are divided into four phases: analyzing, judging, inferencing, and meta-cognitively evaluating. Tutors' roles in online problem solving can be categorized into four domains: cognitive, social, managerial, and technical. Tutors' roles in each domain are specifically analyzed, and the strengths, weaknesses, and improvements in tutors' facilitation of critical thinking for online problem solving are evaluated.

• Journal of Science and Technology Studies
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• v.19 no.2
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• pp.85-116
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• 2019

This research examines the characteristics of the newly emerging 'transformative innovation policy' and discusses the current status and issues of the Korean social problem solving R & D policy. Transformative innovation policy is a new paradigm that aims to transform socio-technical systems to address societal challenges. In this study, we analyzed 'the policy plan for solving social problems based on science and technology'. In the "Policy Plan", efforts are being made to establish new direction of science and technological innovation activities such as emphasis on social values, network formation of innovation actors, and spreading of social impact. But in this "Policy Plan", the perspective of transformative innovation policy is weakly reflected. The Policy Plan refers to system improvement that adds new elements to existing system, but it is not discussing system transformation. In order to develop social problem solving R & D policy from the viewpoint of the transformative innovation policy, it is necessary to construct the innovation platform deliberating vision and prospect for the socio-technical transformation.