• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.49-58
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• 2019

Efficient evidential reasoning is an important issue in the development of advanced knowledge based systems. Efficiency is closely related to the design of problems solving methods adopted in the system. The explicit modeling of problem-solving structures is suggested for efficient and effective reasoning. It is pointed out that the problem-solving method framework is often too coarse-grained and too abstract to specify the detailed design and implementation of a reasoning system. Therefore, as a key step in developing a new reasoning scheme based on properties of the problem, the problem-solving method framework is expanded by introducing finer grained problem-solving primitives and defining an overall control structure in terms of these primitives. Once the individual components of the control structure are defined in terms of problem solving primitives, the overall control algorithm for the reasoning system can be represented in terms of a finite state diagram.

• Research in Mathematical Education
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• v.11 no.1
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• pp.1-31
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• 2007

Recent research has documented that there is a close relationship between problem posing and problem solving in arithmetic. However, most studies investigated the relationship between problem posing and problem solving only by means of standard problem situations. In order to overcome that shortcoming, a pilot study with Chinese fourth-graders was done to investigate this relationship using a non-standard, realistic problem situation. The results revealed a significant positive relationship between students' problem posing and solving abilities. Based on that pilot study, a more extensive and systematic ascertaining study was carried out to confirm the observed relationship between problem posing and problem solving among Chinese elementary school children. Results confirmed that there was indeed a close relationship between both skills.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.163-169
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• 2018

Problem solving by programming has a lot of influence on computational thinking improvement. Programming learning has been self-directed based on the individual's thoughts and principles. However, the revised informatics curriculum in 2015 puts importance on collaborative learning. Collaborative learning emphasizes results differently from cooperative learning, which emphasizes problem-solving processes. And cooperative learning leads to structured learning, such as role sharing and activity stages, within a small group, while collaborative learning leads to unstructured learning. Therefore, it is becoming more in collaborative learning that peer interaction can be affected by learners' cognitive style. In this paper, we propose the effect of cognitive style on problem solving ability in collaborative learning for problem solving by programming. As a result, collaborative learning was effective in improving problem solving ability and there was no significant difference in cognitive style.

• Research in Mathematical Education
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• v.15 no.2
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• pp.159-179
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• 2011

This paper reports on the learning journeys in mathematical problem solving of 21 teachers enrolled on a Masters of Education course entitled Discrete Mathematics and Problem Solving. It draws from the reports written by these teachers on their personal journeys: the commonalities and differences among them in terms of how they look at their own problem solving experiences, what language they employ in talking about problem solving, and what impact the course has on their views about problem solving. One particular aspect of problem solving instruction, a pedagogical innovation called the Practical Worksheet, is addressed in some detail. These graduate students are full-time mathematics teachers with at least two years of classroom experience. They include primary and secondary teachers.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.55-61
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• 2021

As the demand for distance education increases, it is necessary to present a problem solving path through a learning tracking algorithm in order to support the efficient learning of learners. In this paper, we proposed a problem solving path of various difficulty levels in various subjects by supplementing the existing learning tracking algorithm. Through the data set obtained through the path for solving the learner's problem, the path through the prim's minimum Spanning tree was secured, and the optimal problem solving path through the recursive neural network was suggested through the path data set. As a result of the performance evaluation of the contents proposed in this paper, it was confirmed that more than 52% of the test subjects included the problem solving path suggested in the problem solving process, and the problem solving time was also improved by more than 45%.

• Journal of Engineering Education Research
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• v.19 no.6
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• pp.3-9
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• 2016

Amonng many creative problem-solving methodologies, the TRIZ with practicality and applicability has been utilized a lot in practice and education. This research introduced the TRIZ course for engineering problem-solving training to engineering college students. Then, a survey about students' ability to solve engineering problems after the TRIZ course were analyzed statistically. Finally, problem-solving cases of industry in each team project were examined. It is proved that an understanding of the TRIZ should be confirmed on that can be applied and utilized and can be linked to well performing team projects. Therefore, it is determined that more active efforts are required for the development of TRIZ learing methods to improve the education system to help students improve comprehension for students in creative problem-solving skills.

• Journal of dental hygiene science
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• v.23 no.4
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• pp.271-281
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• 2023

Background: This study aims to improve dental hygiene education by investigating the relationship between metacognition, learning flow, and problem-solving abilities in dental hygiene majors. Methods: A survey was conducted on 2nd to 4th-year students from dental hygiene programs, with 132 responses analyzed. Data analysis involved t-tests and ANOVA to examine the differences in metacognition, learning flow, and problem-solving abilities based on the general characteristics. Multiple regression analysis was employed to investigate the factors influencing the dependent variable, which is problem-solving abilities. The collected data were analyzed using SPSS. Results: First, when comparing metacognition, learning flow, and problem-solving abilities based on the general characteristics of the study participants, statistically significant differences were observed in common factors such as major satisfaction, subjective academic performance, GPA (grade point average), and reason for major choice (p<0.05). Second, it was found that there is a significant positive correlation between metacognition, learning flow, and problem-solving abilities in dental hygiene students (r≥0.79, p<0.05). In other words, higher levels of metacognition and learning flow were associated with better problem-solving abilities. Third, factors influencing problem-solving abilities were identified, with both metacognition and learning flow having a statistically significant positive impact. It was also noted that metacognition had a greater influence on problem-solving abilities compared to learning flow (adjusted R²=0.815, p<0.05). Conclusion: To enhance the core competency of problem-solving abilities, it is essential to improve metacognition and learning flow. To enhance metacognition and promote learning flow, strategies such as goal setting, utilizing effective learning methods, boosting self-efficacy, managing the learning environment, choosing activities that foster immersion, stress management, self-assessment and feedback integration, improving focus, and utilization a variety of learning experiences will be necessary.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.777-792
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• 2022

Purpose: This paper investigates the effects of leader feedback on employee creative problem-solving behavior. It also explores the relevant conditions that maximize the above relationship from the psychological trait and task nature perspectives. Specifically we examine how employee feedback acceptance and task complexity moderate the relationship between leader's feedback behavior on follower creative problem-solving behavior. Finally the three-way interaction among leader's feedback behavior, employee feedback acceptance and task complexity is analyzed for the best conditions to maximize the positive effect of leader's feedback on creative problem solving behavior. Methods: This paper used a cross-sectional design with questionnaires administered to 411 employees working in Korean manufacturing and service firms. It applied a hierarchical regression analysis to test the hypothesized relationships including three-way interaction effect among leader's feedback behavior, follower feedback acceptance and task complexity on follower creative problem-solving behavior. Results: The empirical results of the paper indicated that the leader feedback behavior had enhanced employee creative problem-solving behavior. It was also found that follower feedback acceptance and task complexity positively moderated the relationship between leader's feedback and follower problem solving behavior. In addition, the test of three-way interaction effects also revealed that the higher the levels of both employee feedback acceptance and task complexity, the greater the positive effect of leader feedback behavior on employee creative problem solving behavior. Conclusion: This paper contributes to the leadership and creativity literatures by identifying the role of leader's behavior enhancing employee creative problem-solving behavior and the specific conditions strengthening the positive effect of leader feedback behavior on employee creative problem-solving behavior.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.193-200
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• 2021

This study was conducted to explore factors for evaluating creative problem-solving ability and to identify measurement items. After reviewing the previous study, a questionnaire was conducted, and from that, 7 factors and 26 preliminary questions were obtained. Regarding the creative problem-solving ability, problem-discovery ability, idea generation ability, idea evaluation ability, and idea execution ability were confirmed in the problem-solving process. In addition, the factors of interaction ability between problem solving practitioners and creative efficacy of problem solving practitioners were explored. Finally, in the above results, metaphors and figurative cognitive thinking ability and evaluation items for creative problem-solving ability of HTE creative education model were presented. Through subsequent studies, we hope to serve as the groundwork of the evaluation model of HTE creative education.

• Journal of Engineering Education Research
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• v.9 no.4
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• pp.46-62
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• 2006

The purpose of this study is to identify characteristics which are related with design problem solving. For this, an effective problem solver and an ineffective problem solver have been compared and analyzed in terms of the process of design problem solving with a population of students who are enrolled in College of Engineering. This study can be concluded as follows. First, the process of design problem solving was performed in non-linear form and it was varied depending on individuals. Second, the results of problem solving could be varied according to the qualitative level of performance in each stage rather than according to the differences of consumption time by each stage. Third, the main activities in process of design problem solving were identifying a design brief, identifying requirements, exploring a problem solution, and idea modeling. Fourth, the making activities took place most frequently and the longest time in the entire process, meanwhile exploring a problem solution was related to the results of design problem solving.