• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.160-169
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• 2022

This qualitative study aimed to investigate ways to improve effective cooperative learning from students' perspective by understanding and analyzing the learning experiences of nursing students who participated in a collaborative problem-solving learning model. Data were collected through focus group interviews and reflection journals of six second-year nursing students from G-university in J-city who participated in a collaborative problem-solving learning model course. The interview data were analyzed and divided into 3 categories and 10 subcategories according to the six-step thematic analysis method proposed by Braun and Clarke. The results of analyzing the interviews were considered based on three areas: preparation before learning, the process of collaborating as a cooperative learning experience, and solutions and expectations after learning. The participants felt frustrated because collaborative problem-solving took more time for individual learning than traditional methods did and would not allow them to check the correct answers immediately. However, they gained new experiences by solving problems and engaging in discussions within their learning community. The participants' expectations included material that could help their learning, measures to prevent free-riders, and consideration of the learning process in evaluation factors. Although this study has sample limitations by targeting nursing students in only one region, it can be used to help operate collaborative problem-solving classes, as it reflects the real experiences and opinions of students.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.8-18
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• 2022

Objectives: The objective of this study was to explore the effects of the simulation-based learning program on stress, problem-solving ability, self-efficacy, and resilience of final-year nursing students in a college in South Korea. Methods: The design of the study was a one-group pretest-posttest. The participants of this study were final-year nursing students in 2018. A total of 105 students completed it. The intervention was an 8-week simulation-based practice course. The primary and secondary outcome measures were baseline and follow-up questionnaires regarding demographic factors, stress, problem-solving ability, self-efficacy, and resilience. Results: Problem-solving ability (t=6.567, p<.001), self-efficacy in four situations (p<.001) and resilience (t=2.352, p=.021) increased after simulation-based learning than before learning. Stress also increased after simulation-based learning compared to before learning (t=5.960, p<.001). The level of stress, self-efficacy, and resilience were mainly related to participants' satisfaction with their clinical placement, and interpersonal relationships (p<.05). Conclusions: Simulation-based learning is expected to improve nursing students' problem-solving ability, self-efficacy, and resilience. This can lead to induce learning motivation of nursing students, improve their coping strategies for solving problems, and ultimately provide high-quality care.

• Knowledge Management Research
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• v.16 no.3
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• pp.65-80
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• 2015

Problems solved by the TRIZ method have been developed and applied in many fields ranging from management as well as engineering. Most of the problems occurring in the construction site should be applied immediately. To solve the problem of building engineering, formulation of the problem solving process using the TRIZ method is needed. This study classified and analyzed the problem solving process of architectural engineering technology in accordance with the procedures of TRIZ, and showed the case of solving problem in the field and the availability of TRIZ theory in architectural engineering. This paper shows that the TRIZ theory can be used as a tool for creative problem solving and cost reduction in architectural engineering.

• The Mathematical Education
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• v.43 no.3
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• pp.275-289
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• 2004

The purpose of the study is to investigate how children and preservice teachers would make a progress in solving the open-problems related to area. In knowledge-based information age, information inquiry, information construction, and problem solving are required. At the level of elementary school mathematics, area is mainly focused on the shape of polygon such as square, rectangle. However, the shape which we need to figure out at some point would not be always polygon-shape. With this perspective, many open-problems are introduced to children as well as preservice teacher. Then their responses are analyzed in terms of their logical thinking and their understanding of area. In order to make students improve their critical thinking and problem solving ability in real situation, the use of open problems could be one of the valuable methods to apply.

• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.472-479
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• 2019

Today, computational thinking takes an important role in problem solving in software education. As a result, software education as liberal arts for non-CS major students is rapidly expanding. It is necessary to study the effects of computational thinking on software problem solving ability compared to traditional programming language education. In this paper, we propose an evaluation model for analyzing the effects of computational thinking on the overall software development process, and analyze how the problem solving process is different for learners who take computing thinking classes and programming language courses as liberal arts courses. As a result, students who learned computational thinking showed higher ability in problem analysis and design process.

• Journal of People, Plants, and Environment
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• v.22 no.5
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• pp.515-524
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• 2019

This study was conducted based on the fact that children in institutions for early childhood education located in cities lack the opportunity to experience nature. Therefore, urban parks are where it is possible to observe nature and natural environment, through which we examined the effects of nature activities on kindergarten children's curiosity and scientific problem-solving ability. The subjects of this study were 5-years old kindergarten children in attending public kindergartens in Cheonan and Asan and 42 children were randomly selected. The pretest and posttest were conducted on curiosity and scientific problem-solving ability before and after nature activities. The results showed that nature activities in urban parks had significant effects on improvement of kindergarten children's curiosity and scientific problem-solving ability (p <.05). Therefore, nature activities in urban parks had positive effects on preference for unknown and exploratory behavior, which are sub-factors of kindergarten children's curiosity. Nature activities also had positive effects on discovery and statement of the problem, creation and application of ideas, and conclusion to problem solving.

• Journal of Advanced Information Technology and Convergence
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• v.9 no.1
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• pp.77-87
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• 2019

The Butterfly model, which aims to solve contradiction problems, defines the type of contradiction for given problems and finds the problem-solving objectives and their strategies. Unlike the ARIZ algorithm in TRIZ, the Butterfly model is based on logical proposition, which helps to reduce trial and errors and quickly narrows the problem space for solutions. However, it is hard for problem solvers to define the right propositional relations in the previous Butterfly algorithm. In this research, we propose a contradiction solving algorithm which determines the right problem-solving strategy just with yes or no simple questions. Also, we implement the Butterfly Chatbot based on the proposed algorithm that provides visual and auditory information at the same time and help people solve the contradiction problems. The Butterfly Chatbot can solve contradictions effectively in a short period of time by eliminating arbitrary alternative choices and reducing the problem space.

• Journal of the Korean School Mathematics Society
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• v.10 no.3
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• pp.303-322
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• 2007

This study is to investigate student's processes of problem solving using open-ended Geometric problems to understand student's thinking and behavior. One 8th grader participated in performing her learning in 5 lessons for June in 2006. The result of the study was documented according to Polya's four problem solving stages as follows: First, the student tended to neglect the stage of "understanding" a problem in the beginning. However, the student was observed to make it simplify and relate to what she had teamed previously Second, "devising a plan" was not simply done. She attempted to solve the open-ended problems with more various ways and became to have the metacognitive knowledge, leading her to think back and correct her errors of solving a problem. Third, in process of "carrying out" the plan she controled her solving a problem to become a better solver based on failure of solving a problem. Fourth, she recognized the necessity of "looking back" stage through the open ended problems which led her to apply and generalize mathematical problems to the real life. In conclusion, it was found that the student enjoyed her solving with enthusiasm, building mathematical belief systems with challenging spirit and developing mathematical power.

• Journal of Elementary Mathematics Education in Korea
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• v.18 no.2
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• pp.189-209
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• 2014

This study designed and developed a model of ill-structured problem solving and ill-structured problems for the 4th, 5th, and 6th graders. In addition, two sets of ill-structured problems has been explored to 23 4th graders, 33 5th graders, and 23 6th graders in elementary schools in order to investigate their problem solving, creative personality, and mathematical reasoning. The model of ill-structured problem solving was suggested ABCDE (Analyze-Browse-Create-DecisionMaking-Evaluate) model and analyzed participants' problem solving procedure. As results, participants showed improvement between pretest and posttest in problem solving and the high graders showed the greater creative personality.

• The Mathematical Education
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• v.58 no.4
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• pp.519-530
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• 2019

According to previous studies, meta-affect based on the interaction between cognitive and affective elements in mathematics learning activities maintains a close mechanical relationship with the learner's mathematical ability in a similar way to meta-cognition. In this study, in order to grasp these characteristics phenomenologically, small group problem-solving cases of 5th grade elementary mathematically gifted children were analyzed from a meta-affective perspective. As a result, the two types of problem-solving cases of mathematically gifted children were relatively frequent in the types of meta-affect in which cognitive element related to the cognitive characteristics of mathematically gifted children appeared first. Meta-affects were actively acted as the meta-function of evaluation and attitude types. In the case of successful problem-solving, it was largely biased by the meta-function of evaluation type. In the case of unsuccessful problem-solving, it was largely biased by the meta-function of the monitoring type. It could be seen that the cognitive and affective characteristics of mathematically gifted children appear in problem solving activities through meta-affective activities. In particular, it was found that the affective competence of the problem solver acted on problem-solving activities by meta-affect in the form of emotion or attitude. The meta-affecive characteristics of mathematically gifted children and their working principles will provide implications in terms of emotions and attitudes related to mathematics learning.