• Korean Journal of Cognitive Science
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• v.18 no.2
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• pp.139-157
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• 2007

We compared brain activation areas during participants drawn from contrasting two college majors performed intentionality detection (known as the basic mechanism of theory of mind) task using fMRI. The main purpose of this study was to identify whether individual differences are present in intentionality detection or not. In psychology major, the left inferior frontal gyrus, the fusiform gyrus, the superior temporal gyrus and the right fusiform gyrus, the supramarginal gyrus were activated. In engineering major, the inferior parietal lobule and the superior parietal lobule were found. This result suggests that according to participants' major, different brain areas were activated. The relations between performance of the intentionality detection task and the individual variants of participants were discussed.

• Journal of environmental and Sanitary engineering
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• v.13 no.2
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• pp.1-13
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• 1998

Seasonal variation of algae distribution were studied in the Chuam reservoir from August 1996 to July 1997. As a result, 127 taxa were observed, representing 6 classes, 14 orders, 5 suborders, 29 families, 2 subfamilies, 54 genus, 118 species, 7 variaties and 2 formula. The majors of them are Chlorophyceae (59 taxa), Bacillariophyceae(39 taxa) and Cyanophyceae(20 taxa). The number of species was that 35 and 31 taxa were occurred in August 1996 and April 1997, 11 and 17 taxa in July 1997 and October 1996 respectively at Dam station, 53 taxa were occurred in September, 18 taxa in November at Munduck station. The biomass composition of occurrence species were as fallowes; Cyanophyceae are 80%, Bacillariophyceae 14% and Chlorophyceae 5% at Dam station and Cyanophyceae are 90%, Bacillariophyceae 1.3% and Chlorophyceae 0.4% at Munduck at Munduk station. At Munduk station, water bloom occurred by Cyanophyceae(99.9%, 3.7 $\times$ 10$^{7}$ cells/L) in November 1996 and the major causing algae was Microcrystis aeruginosa. Microcystis aeruginosa was dominant species (dominant index : 0.72 - 0.99) during summer and autumn, Fragilaria crotonensis and Asterionella formasa (DI : 0.33 - 0.74) during winter and spring. The water quality factors of the Chuam reservoir were that the values of water temperature ranged of 3.6 - 31.4$\circ$C, pH 6.7 - 9.0, conductivity 69.6-118.2 $\mu $s/cm, and turbidity 1.0-22.5 NTU, and the proper temperature of water for algae growth was 15 and 16.7$\circ $C in April and November. Also the concentration of dissolved oxygen(DO) ranged of 6.8-15.5mg/L, total nitrogen(T-N) 0.54-1.78 mg/L, total phosphrous (T-P) 0.003-0.034 mg/L, and chlorophyll-a 0.9-23.2mg/m$^{3}$. The concentration of Chlorophyll-a was in inverse proportion T-N/T-P ratio.

• The Journal of Korean Association of Computer Education
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• v.19 no.2
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• pp.51-60
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• 2016

This study has two major purposes. One is to find out the impact of learning programming language on deciding major for freshmen who enter the university without specific major and decide their majors from sophomore. Another is to compare between 2015 group without specific major at freshmen and 2013 group who were not required to take program language courses. Our study has several important implications. First, this study is the first attempt to figure out the effects of the program language education on deciding major. Secondly, one can predict the effects and importance of software education which is going to imply to all highschool students starting from 2018. Thirdly, software education may help to alleviate science and engineering aversion.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.205-211
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• 2018

The purpose of this study is to propose a strategy to educate the core contents of various major fields in practical and convergent ways in universities in order to prepare for the 4th industrial revolution era. First, convergence field is established in the university curriculum in addition to the existing major and the liberal arts field. Second, convergence courses are created in connection with job ability, which are major curriculum but only for students in other departments. Third, convergence courses are organized in the form of module curriculum, which is a small-sized and independent curriculum consisting of 4 courses. D University, one of the local private universities in Korea, has provided such convergence module education since 2016, and satisfactory results have been obtained in the course enrollment rate and the course evaluation, etc. By combining these convergence modules in various ways, it is possible to easily create customized majors required and designed by local companies at low cost.

• School Mathematics
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• v.12 no.3
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• pp.323-335
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• 2010

Linear algebra is not only applied comprehensively in the branches of mathematics such as algebra, analytics, and geometry but also utilized for finding solutions in various fields such as aeronautical engineering, electronics, biology, geology, mechanics and etc. Therefore, linear algebra should be easy and comfortable for not only mathematics majors but also for general students as well. However, most find it difficult to learn linear algebra. Why is it so? It is because many studying linear algebra fail to achieve a correct understanding or attain erroneous concepts through misleading knowledge they already have. Such cases cause learning disability and mistakes. This research suggests more effective method of teaching by analyzing difficulty and errors made in learning system of linear equations.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.7-12
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• 2018

With our society entering the Fourth Industrial Revolution, there has been heightened interest in coding education, which has led to an increased number of coding classes offered in schools. Once catered to degree holders only, coding courses are now being offered as liberal arts courses to even non-majors. As the importance of computing abilities and creativity-oriented education through software learning becomes increasingly pronounced, the need for research on effective coding learning is growing more urgent. The present study sought an effective coding education model that would encourage and enhance learners' participation and interest in coding. The proposed learning model is designed to invoke learner's recognition of various coding grammars and data search in the process of designing and performing their own unique project. Application of the proposed learning model and analysis of such case studies showed improvement in learning outcomes. One can expect improved performance among learners if the proposed learning model is applied to various coding courses.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.651-660
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• 2011

This study aims at improving teaching and learning abilities on the courses of probability/statistics in the fields of the S/W and H/W. In order to do this, this paper firstly conducts a survey which measures the perception of the surveyees' necessity of the related courses, and includes the contents that the related courses should cover. Secondly, this paper analyzes the educational effect on the achievement by studying Pattern Recognition, a major course of S/W and H/W, with combining probability/statistics or data analysis. Lastly, this paper suggests the promising pedagogical method for educating probability/statistics by using a survey and the case studies. In this way, this paper shows the necessity of probability/statistics for acquiring a new technology and the flexible approach of various subjects.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.887-898
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• 2016

The purpose of this study is to improve the learning ability of probability/statistics for H/W majors. Firstly, we developed a teaching method coupling probability/statistics with programming and multimedia signal processing courses that are opened in the H/W major curriculum. By use of its teaching-learning, we tried to verify the effectiveness on the improvement of learner's academic achievement and then analyze its educational efficiency through the regression analysis. Secondly, by analyzing the surveys and the statistical results of the education cases, we proposed a management plan on efficient teaching-learning in order to cultivate the learning ability of probability/statistics at a future time. Lastly, we concluded that probability/statistics is a required course of learners so as to contribute for the advanced technical development and the enhanced competitiveness in the field of the H/W.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.207-216
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• 2015

Recent statistics revealed that with the crisis of humanities, the unemployment rate of the students majoring in this field of study is very high. Considering the seriousness of current situations, the government announced 'Plan to Help Students Majoring in Humanities Find Job.' This study confirmed that the government's policy for those from the department of humanities is valid and reasonable. However, the convergence of humanistic imagination and engineering thoughts could generate some side effects. Therefore, this study suggested a direction for humanistic convergence education to help these students get the career they want. In this study was investigated methodology which can maximize the efficiency of digital storytelling through microscopic convergence instead of macroscopic convergence. In addition, this study proposed that an inter-disciplinary convergence system-based project would be the best solution to nurture convergence-oriented talents in humanities.

• The Journal of Korean Association of Computer Education
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• v.23 no.1
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• pp.53-61
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• 2020

In the information society, the ability of learners to use computers to conduct self-directed learning is important. Indeed, the higher the computer's ability to use computers, the more the academic achievement needs to be analyzed. The purpose of this study was to identify longitudinal trajectories of student awareness of ICT literacy and frequency of computer use. We also examined the effects of the longitudinal patterns on academic achievement and college major choice. A non-parametric approach, K-means for longitudinal data(KML) algorithm, was conducted using 9-year longitudinal data from Seoul Education Longitudinal Study (2010-2018). Findings indicated that a pattern presenting a higher awareness of ICT literacy and frequency of computer use showed better academic achievements and was likely to prefer to choose engineering-related majors.