• Journal of The Korean Association For Science Education
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• v.17 no.1
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• pp.11-19
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• 1997

Students' protocols obtained from think-aloud interviews were analyzed in the aspects of the success at first two problem-solving stages (understanding and planning), the time to complete a problem, the time at each problem-solving stage, the number of transition, and the transition rate. These were compared in the aspects of the context of problem, the success in solving problem, students' logical reasoning ability, spatial ability, and learning approach. The results were as follows:1. Students tended to spend more time in everyday contexts than in scientific contexts, especially at the stages of understanding and reviewing. The transition rate during solving a problem in everyday contexts was greater than that in scientific contexts. 2. Unsuccessful students spent more time at the stage of understanding, but successful students spent more time at the stage of planning. 3. Students' logical reasoning ability, as measured with the Group Assessment of Logical Thinking, was significantly correlated with the success in solving problem. Concrete-operational students spent more time in completing a problem, especially understanding the problem. 4. Students' spatial ability, as measured with the Purdue Visualization of Rotations Test and the Find A Shape Puzzle, was significantly correlated with their abilities to understand a problem and to plan for its solution. 5. Students' learning approach, as measured with the Questionnaire on Approaches to Learning and Studying, was not significantly correlated with the success in solving problem. However, the students in deep approach had more transitions and greater transition rates than the students in surface approach.

• The Journal of Industrial Distribution & Business
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• v.10 no.11
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• pp.71-80
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• 2019

Purpose: The purpose of this study is to design the curriculum of Basic College Software Programming to develop creative and logical-thinking. This course is guided by algorithmic thinking and logical thinking that can be solved by computing for problem-solving, and it helps to develop by software through basic programming education. Through the stage of problem analysis, abstraction, algorithm, data structure, and algorithm implementation, the curriculum is designed to help learners experience algorithm problem-solving in various areas to develop diffusion thinking. For Learners aim to achieve the balanced development of divergent and convergent-thinking needed in their creative problem-solving skills. Research design, data and methodology: This study is to design a basic software education for improving algorithm-thinking for non-major. The curriculum designed in this paper is necessary to non-majors students who have completed the 'Creative Thinking and Coding Course' Design Thinking based are targeted. For this, contents were extracted through advanced research analysis at home and abroad, and experts in computer education, computer engineering, SW education, and education were surveyed in the form of quasi-openness. Results: In this study, based on ADD Thinking's algorithm thinking, we divided the unit college majors into five groups so that students of each major could accomplish the goal of "the ability to internalize their own ideas into computing," and extracted and designed different content areas, content elements and sub-components from each group. Through three expert surveys, we established a strategy for characterization by demand analysis and major/textbook category and verified the appropriateness of the design direction to ensure that the subjects and contents of the curriculum are appropriate for each family in order to improve algorithm-thinking. Conclusions: This study helps develop software by enhancing the ability of students who practice various subjects and exercises to explore creative expressions in various areas, such as 'how to think like a computer' that can implement and execute their ideas in computing. And it helps increase the ability to think logical and algorithmic computing based on creative solutions, improving problem-solving ability based on computing thinking and fundamental understanding of computer coding and development of logical thinking ability through programming.

• Korean Journal of Logic
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• v.19 no.1
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• pp.1-49
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• 2016

In the Tractatus, 'logical space' raises the several puzzles as follows. What are logical space, logical coordinates and logical place? What is the point of such analogies and what do they refer to exactly in the Tractatus? And what do occupy logical space? Can facts, proposition, propositional sign, situation and contradiction occupy it respectively? Or is it impossible to reconcile the remarks concerning logical place in the Tractatus? Futhermore, why did Wittgenstein need the concept of logical space? What is the problem that he tried to solve through this concept? In this paper, I will endeavor to answer to these problems. Logical space in the Tractatus is the system of propositions with senses. And it is the concept which Wittgenstein contrived by making model of Hertz's configuration space. Wittgenstein's fundamental coordinates are in some ways similar to geometrical ones. On the other hand logical coordinates are completely different from geometrical ones. Hence attempts to understand logical space by a kind of geometrical spaces cannot be right at all.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.85-96
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• 2006

This study analyzes a phenomenon observed in the problem-solving process using ICT that field learners prioritize functional and logical fields. The purpose of this study is to anticipate the future direction of education utilizing ICT and to explore what effort is needed to increase balanced ability of utilizing ICT in the area of education. To analyze the patterns of ICT usage in education, students were asked to solve the problems including functional and logical requests by using the program of framing document. That results were marked in accordance with standards framed in both functional and logical fields. As a result, students utilized the ICT functional field more than logical one. Therefore, we confirm learning through ICT is more effective on functional sides than on logical sides. We also confirm the excellency of ICT's functional sides in such variables as major, grade, computer capability and qualification, etc.

• Korean Journal of Logic
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• v.17 no.1
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• pp.71-109
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• 2014

Gila Sher believes that Tarskian definition of logical consequence is a conceptually and extensionally adequate explanation. She has tried to show this on the basis of Mostowskian conceptions of generalized quantifiers as being invariant under isomorphic structures and her own conceptions of models. In this paper I try to show that her attempt to justify the Tarskian definition is only partially successful. I admit that her conceptions of the logical as being invariant under isomorphic structures are enough to show the logical formality of logical consequence relations. But I think that since her conceptions of meanings of terms are quite inadequate for dealing with the problem of empty predicates, she fails to distinguish logically necessary truths from other kinds of truths.

• Journal of The Korean Association For Science Education
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• v.17 no.1
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• pp.75-83
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• 1997

The purpose of this study was to determine the strategies that middle school students used in solving problems concerning density and solubility. These were compared in the aspects of problem contexts for 42 students of varying logical reasoning ability, spatial ability, and learning approach. A coding scheme used consists of five categories: reading & organization, production, errors, evaluation, and strategy. Students' protocols were analyzed after intercoder agreement had been established to be .95. The results were as follows: 1. Students had more difficulties in reading and organizing the problems in everyday contexts than in scientific contexts. Students at the concrete-operational stage and / or surface approach were more likely to have difficulties in reading and organizing the problems than those at the formal-operational stage and / or deep approach. 2. Students tended to split up the solubility problems into sub-problems and to solve the density problem in everyday contexts in random manner. These were significantly correlated with the test scores concerning logical reasoning ability, spatial ability, and learning approach at the .1 level of significance. 3. Major errors in solving the density problems were to disregard the given information or generated and to use inappropriate information. Many errors in solving the solubility problems were found to be executive errors. The strategy to use the information given appropriately was positively related to students' logical reasoning ability, spatial ability, and learning approach. 4. More evaluation strategies were found in everyday contexts. Their strategies to grasp the meaning of answers and to check the math were significantly related to students' logical reasoning ability. 5. Students used the random trial-and-error strategy more than the systematic strategy and the systematic trial-and-error strategy, especially in everyday contexts. The strategies used by the students were significantly related to students' logical reasoning ability, spatial ability, and learning approach.

• The Journal of Korean Association of Computer Education
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• v.18 no.5
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• pp.1-13
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• 2015

In recent domestic and international curriculum it is emphasized that students should acquire 'problem solving' competence as a member of knowledge information society and various programming educational methods of improving problem solving competence have been studied. But there is no difference between programming problems in related research and traditional programming courses. Most methods of solving problems are focused on acquiring specific languages rather than enhancing problem solving ability. In this research, we developed a suitable programming problems and curriculum for fostering problem solving competence and designed and developed teaching and learning contents based on PSA(Problem Solving Activities). Furthermore, we obtained meaningful results of improving learners' problem solving ability and logical thinking ability by operating curriculum with developed contents as learning materials. The results of this research are expected to be used as a reference model or basic teaching materials for developing and operating the programming teaching and learning contents or curriculum to enhance problem solving competence.

• Management Science and Financial Engineering
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• v.6 no.2
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• pp.29-45
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• 2000

We consider the design of a two-level telecommunication network having logical full-mesh/star topology, with the implementation of conduit systems taken together. The design problem is then viewed as consisting of three subproblems: locating hub facilities, placing a conduit network, and installing cables therein to configure the logical full-mesh/star network. Without partitioning into subproblems as done in the conventional approach, the whole problem is directly dealt with in a single integrated framework, inspired by some recent successes with the approach. We successfully formulate the problem as a variant of the classical multicommodity flow model for the fixed charge network design problem, aided by network augmentation, judicious commodity definition, and some flow restrictions. With our optimal model, we solve some randomly generated sample problems by using CPLEX MIP program. From the computational experiments, it seems that our model can be applied to the practical problem effectively.

• Journal of Fisheries and Marine Sciences Education
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• v.23 no.1
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• pp.105-115
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• 2011

Education is focused on how to nurture creative problem-solving skills talent in rapidly changing information society. The algorithm education of computer science is effective in improvement of students' logical thinking and problem solving capability. However, the algorithm education is very difficult to teach in elementary students level. Because it is difficult to understand abstract characteristic of algorithm. Therefore we developed educational contents based on the principle of the algorithm for improve students' logical thinking and problem-solving capability in this study. And educational contents contain interesting elements of the game. So, students will be interested in algorithm learning and participate actively through developed educational contents. Furthermore, students' creative problem-solving capability may improve through algorithm learning.

• Journal of Digital Contents Society
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• v.10 no.3
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• pp.375-380
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• 2009

Computer programming education can improve students' logical thinking and problem-solving ability. Therefore, it is essential tool to improve algorithmic thinking ability. We study how much Dolittle and Squeak influences improving elementary students' logical thinking ability. Thus, we divided 6th grade elementary students into two classes and then taught Dorittle and Squeak programming languages for 6 weeks, respectively. We compare and analyze each logical thinking ability and its sub-classifications. The results showed that Dorritle affects significant improvement, but not Squeak.