• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.3
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• pp.363-368
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• 2005

Artificial life is a science studying artificial systems that implement various behavioral characteristics of lives as an attempt of applying some features found in living creatures to artificial intelligent objects in virtual worlds. Attempts and researches are actively being made to apply human needs to games and express them through artificial life. Human needs and the expression of the needs are extremely diverse and complicated, so they cannot be modeled in a specific way. Thus this study modeled game AI object needs using AHP, which is a useful model in solving problems quantitatively through basic observation of human nature, analytic thinking, measuring, etc. In addition, the modeled game AI object needs were examined through the analysis of performance sensitivity and their applicability to actual games was assessed with example.

• Journal for History of Mathematics
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• v.20 no.4
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• pp.23-48
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• 2007

This study begins from posing a problem, 'formal introduction of mathematical induction in school mathematics'. Most students may learn the mathematical induction at the level of instrumental understanding without meaningful understanding about its meaning and structure. To improve this didactical situation, we research on the historical progress of mathematical induction from implicit use in greek mathematics to formalization by Pascal and Fermat. And we identify various types of thinking included in the developmental process: recursion, regression, analytic thinking, synthetic thinking. In special, we focused on the role of regression in mathematical induction, and then from that role we induce the implications for teaching mathematical induction in school mathematics.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.1-13
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• 2019

This purpose of this study is to develop and apply the physical computing lessons based on the software guidelines from the Ministry of Education (2015). In this study, I research how computational thinking occurs in class by applying the physical computing lessons to elementary students based on computational practices. The physical computing lessons and analytic methods for computational thinking in this study can be used as a sample and case-study to develop the lessons in the educational field.

• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.393-401
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• 2017

The purpose of this study is to develop a deep learning based learning system for improving learner's data analytical thinking ability. The contents of the study are as follows. First, deep learning was applied to the discovery learning model to improve data analytical thinking ability. This is a learning method that can generate a model showing the relationship of given data by using the deep learning method, then apply the model to new data to obtain the result. Second, we developed a deep learning based system for DBD learning model. Specifically, we developed a system to generate a model of data using the deep learning method and to apply this model. The research of deep learning based learning system will be a new approach to improve learner's data analytical thinking ability in future society where data becomes more important.

• School Mathematics
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• v.15 no.2
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• pp.243-262
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• 2013

This study attempts to create an analytical framework of the transformation and transmission of knowledge by teachers to students. I focuses on the assertion that the cognitive thinking of a teacher is reflected in his use of mathematical language. Mathematical language is one of the critical elements of communicating mathematical knowledge to students. I examined the cognitive teaching style of different teachers as expressed in their use of mathematical language. An analytical framework of Mathematics Teaching styles was created integrating thinking factors of each visual and analytic style into 5 categories. After that, I regarding the teaching style of mathmatics teachers places its significance not on which teaching style is right or wrong but on identifying the strong and weak points of the teaching styles through actual analysis. With the help of this analytical framework, I conducted an analysis on the videotaped classes and found that the teachers were not biased to one side but in fact there were teachers who demonstrated visual, analytic or mixed teaching style. Therefore, I concludes that math teachers can analyze their teaching styles and improve them through the analytical framework provided in these findings.

• Journal of the Korean School Mathematics Society
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• v.15 no.4
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• pp.643-671
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• 2012

The purpose of this study was to examine How the exploratory activities using Excel and GSP which are exploratory software, in learning analytic geometry affected on the underachievers' analytic geometry concept development process. The subjects of 5 students who received the 8th~9th grades from their examination of the last semester, participated in a total of 7 units based on Skemp's intelligent learning model. The results of the study showed that there were two important cases found to nearly achieve the category $R_2$. One was reflective thinking could happen through exploratory software in category $R_1$. The other was the exploratory activities which could have the same effectiveness as the relational understanding in category $I_2$, as Skemp mentioned that there is a room to be achieved in the elementary level when such relational understanding is achieved.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.477-482
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• 2020

Currently, suggesting directions for strengthening publicity of social services is thinking in the direction of each person's advantage from the stakeholder's perspective. The position of the service provider and the position of the user shows different opinions on the definition and evaluation of publicity of the city or province as the management entity. Therefore, this study combines opinions on publicity focusing on community service, derives consensus on the definition and evaluation of publicity, and evaluates different indicators or factors that cannot be quantified at the same time. The goal is to solve the problem of publicity by applying the Analytic Hierarchy Process(AHP) as a possible technique. In addition, in order to achieve the research objectives according to the designed frame, an empirical study was conducted by conducting a pairwise comparison questionnaire for experts and users. Through the AHP evaluation model" developed in this study, as a result of measuring the relative satisfaction of major factors, service utilization rate (0.470), facility management (0.210), and other project implementations (0.073) appeared in order. Here, the service utilization rate was evaluated as the most important.

• The Mathematical Education
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• v.58 no.3
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• pp.459-481
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• 2019

This study aims to investigate students' statistical thinking through statistical processes in different instructional settings: Teacher-centered instruction vs. student-centered learning. We first developed instructional materials that allowed students to experience all the processes of statistics, including data collection, data analysis, data representation, and interpretation of the results. Using the instructional materials for four classes, we collected and analyzed the data from 57 seventh graders' discourse and artifacts from two different instructional settings using the analytic framework generated on the basis of literature review. The results showed that students felt difficulty particularly in the process of data collection and graph representations. In addition, even though data description has been heavily emphasized for data analysis in statistics education, it is surprisingly discovered that students had a hard time to understand the relationship between data and representations. Also, there were relationships between students' statistical thinking and instructional settings. Even though both groups of students showed difficulty in data collection and graph representations of the data, there were significant differences between the groups in terms of their performance. Whereas students from student-centered learning class outperformed in making decisions considering verification and justification, students from teacher-centered lecture class did better in problems requiring accuracy than the counterpart. The results from the study provide meaningful implications on developing curriculum and instructional methods for statistics education.

• Journal of Korea Game Society
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• v.19 no.2
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• pp.55-66
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• 2019

This research studied how game contents related experts recognize the transition of contents industries in intellectual information era. This study also studied experts' priorities of evaluation elements in contents industry policies. For this, Analytic Hierarchy Process was utilized to analyze the relative importance and priorities of evaluation elements in contents industry policies. According to the analysis, the order of priorities was 'strengthening content technology', 'training content experts', 'improving the contents-related system' and 'strengthening content usage and consumer safety'. Also, in complex importance analysis, 'strengthening R&D system for content' was gauge as the most important element. In the analysis about each related group's thinking, industries and policy institutes considered 'strengthening content technology' important and academia evaluated 'training content experts' as the most important one.

• Journal of The Korean Association For Science Education
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• v.19 no.4
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• pp.507-515
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• 1999

This study is to develope the performance scoring rubrics for the inquiry-based experiments of general chemistry course in the college of education. Two types of analytic scoring rubrics have been developed for nine different experiments. The first one is to assess scientific process skills from the written experimental reports. These analytic scoring rubrics include seven process skills selected from the Lawson's 'creative and critical thinking skills' and other known process skills. The second one is to assess the individual manipulative skills and experimental attitudes through direct observations by the teacher. The content validity of all scoring rubrics was testified by six science educators. Also the inter-scorer reliability of analytic scoring rubrics administered on the students' experimental reports was examined. The correlation coefficient between the scores obtained from the experiments and those of the written test for theoretical knowledges was found to be r=.663(p <.01). From the variance($r^2$=.440), we would say indirectly that the 56% of this experimental assessment does not overlap with the theoretical knowledges test and assesses students' science process skills, manipulative skills, and attitudes.