• Education of Primary School Mathematics
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• v.22 no.4
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• pp.223-237
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• 2019

There is a close interaction between the linguistic-syntactic representation system and the affective representation system that appear in the mathematical process. On the other hand, since the mathematical conceptual system is fundamentally metaphoric, the analysis of the mathematical concept structure through linguistic representation can help to identify the source of cognitive and affective obstacles that interfere with mathematics learning. In this study, we analyzed the problem-solving protocols of mathematical gifted children from the perspective of cognitive language and meta-affect to identify the relationship between the functional characteristics of the text and metaphor they use and the functional characteristics of meta-affect. As a result, the behavior of the cognitive and affective characteristics of mathematically gifted children differed according to the success of problem solving. In the case of unsuccessful problem-solving, the use of metaphor as an internal representation system was relatively more frequent than in the successful case. In addition, while the cognitive linguistic aspects of metaphors play an important role in problem-solving, meta-affective attributes are closely related to the external representation of metaphors.

• Smart Structures and Systems
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• v.22 no.4
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• pp.413-424
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• 2018

The factors affecting the shear strength of the angle shear connectors in the steel-concrete composite beams can play an important role to estimate the efficacy of a composite beam. Therefore, the current study has aimed to verify the output of shear capacity of angle shear connector according to the input provided by Support Vector Machine (SVM) coupled with Firefly Algorithm (FFA). SVM parameters have been optimized through the use of FFA, while genetic programming (GP) and artificial neural networks (ANN) have been applied to estimate and predict the SVM-FFA models' results. Following these results, GP and ANN have been applied to develop the prediction accuracy and generalization capability of SVM-FFA. Therefore, SVM-FFA could be performed as a novel model with predictive strategy in the shear capacity estimation of angle shear connectors. According to the results, the Firefly algorithm has produced a generalized performance and be learnt faster than the conventional learning algorithms.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.127-132
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• 2023

The rapid development and progress of information and communication technology are bringing about changes in the field of education, and innovative methods in teaching-learning have been introduced and applied a lot in the actual field starting with the pandemic. Reflecting this trend, the purpose of this study is to examine the perception of prospective elementary school teachers on the use of edutech, which is widely used in the educational field after COVID-19. To this end, I analyzed the results of 7 major ideas selected at the Edutech Utilization Competition held by K University of Education and the focus group interview conducted with 2 pre-service teachers. As a result of the analysis, it was found that prospective elementary school teachers valued the necessity and importance of edutech-based classes. In addition, they were positively aware of the educational effect of edutech-based classes. To sum up, it could be predicted that edutech classes are also linked to the policies and plans of the Ministry of Education, and will play an important role in effectively guiding future learners while achieving the goals set by the curriculum.

• Communications of Mathematical Education
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• v.26 no.1
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• pp.51-69
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• 2012

The cognition of an intrinsic attribute play an important role in the process of theoretical generalization. It is the aim of this paper to study how the theoretical generalization is made. First of all, we suggest the What-if-only-strategy(WIOS) which is the strategy helping the cognition of an intrinsic attribute. And we propose the process of the theoretical generalization that go on the cognitive stage, WIOS stage, conjecture stage, justification stage and insight into an intrinsic attribute in order. We propose the process of generalization adding the concrete process cognizing an intrinsic attribute to the existing process of generalization. And we applied the proposed process of generalization to two mathematical theorem which is being managed in middle school. We got a conclusion that the what-if-only strategy is an useful method of generalization for the proposition. We hope that the what-if-only strategy is helpful for both teaching and learning the mathematical generalization.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.27-33
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• 2021

The whole world now is dealing with Coronavirus, and it has turned to be one of the most widespread and long-lived pandemics of our times. Reports reveal that the infectious disease has taken toll of the almost 80% of the world's population. Amidst a lot of research going on with regards to the prediction on growth and transmission through Symptomatic carriers of the virus, it can't be ignored that pre-symptomatic and asymptomatic carriers also play a crucial role in spreading the reach of the virus. Classification Algorithm has been widely used to classify different types of COVID-19 carriers ranging from simple feature-based classification to Convolutional Neural Networks (CNNs). This research paper aims to present a novel technique using a Random Forest Machine learning algorithm with hyper-parameter tuning to classify different types COVID-19-carriers such that these carriers can be accurately characterized and hence dealt timely to contain the spread of the virus. The main idea for selecting Random Forest is that it works on the powerful concept of "the wisdom of crowd" which produces ensemble prediction. The results are quite convincing and the model records an accuracy score of 99.72 %. The results have been compared with the same dataset being subjected to K-Nearest Neighbour, logistic regression, support vector machine (SVM), and Decision Tree algorithms where the accuracy score has been recorded as 78.58%, 70.11%, 70.385,99% respectively, thus establishing the concreteness and suitability of our approach.

• Journal of Labour Economics
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• v.30 no.1
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• pp.85-108
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• 2007

This article analyzes the formative factors of the basic job skills(also the ability of computer using) and the economic effects of the basic job skills in Korea. This article uses the ALL(Adult Literacy and Life Skills) 2005 data in Korea. The factors which form the basic job skills are school years, father's education. Women are under men in the ability of computer using. The older a man grow, the more basic job skills he has, but the less ability of computer using he has. The employees in office worker or new service industry have more using computer ability than them in sales worker or manufacture industry. The wage effects of the basic job skills are insignificant, and the economic effects of basic job skills appear apparently in the entry into the good jobs. As the basic job skills can play a important role to enter into the good jobs, the policy agenda should make deal with the methods and programs through which the people without basic job skills must have the opportunities to get a lifelong learning for the basic job skills.

• Hwankyungkyoyuk
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• v.12 no.1
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• pp.64-75
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• 1999

The goals of moral education according to the 7th educational curriculum are (1) to learn the basic life custom and ethical norms necessary to desirable life, (2) to develop the judgment to solve desirably and practically the ethical matters in daily life, (3) to develop the sound citizenship, national identity and consciousness, and the consciousness of world peace and mankind's mutual prosperity, and (4) to develop the ethical propensity to practice the ideal and principle of life systematically Based on the goals in the above, the following can be established as goals of environmental education possible: (1) to learn judgment to solve practically the environmental problems in the society with their ethical understanding, and (2) to recognize that environmental consciousness is the basic necessity of sound citizenship and national identity and consciousness, and mankind's mutual prosperity, and to have attitudes to practice environmental preservation in daily life. Like these, the intellectual aspect, the affective aspect, and the active aspect can be established in the environmental education in the ethics education keeping their balance. In order to achieve its goals, the contents of ethics subject are organized largely with 4 domains: (1) individual life, (2) home life, life with neighbors, and school life, (3) social life, and (4) national life. Among these, environmental education is mainly included in the domain of social life. These contents concerning environmental education take 22 (32.4%) out of the whole 68 teaching factors which are taught in the ethics subject from the 3rd grade to 10th grade. These 22 environmental teaching factors are mainly related to environmental ethics, environmental preservation and measures, and sound consumption life. Classified according to each goal, the environmental contents in the 7th curriculum for ethics subject put emphasis on environmental value and attitudes, action and participation, and information and knowledge. Therefore, the recommendable teaching and learning method for the environmental education in ethics subject is to motivate students' practice or to make them practice in person. For example, role-play model, value-conflict model, group study model can be applied according to the topics of environmental education.

• The Mathematical Education
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• v.58 no.1
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• pp.55-77
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• 2019

Textbooks play a very important role as a medium for implementing curriculum in the school. This study aims to analyze tasks for mathematical competencies in the high school 'mathematics' textbooks based on the 2015 revised mathematics curriculum emphasizing competencies. And our study is based on the following two research question. 1. What is the relationship between core competencies and mathematical competencies? 2. What is the distribution of competencies of tasks for mathematical competencies presented in the textbooks? 3. How does the tasks for mathematical competencies reflect the meaning of the mathematical competencies? For this study, the tasks, marked mathematical competencies, were analyzed by elements of each mathematical competencies based on those concept proposed by basic research for the development of the latest mathematics curriculum. The implications of the study are as follows. First, it is necessary to make efforts to strengthen the connection with core competencies while making the most of characteristics of subject(mathematics). Second, it needs to refine the textbook authorization standards, and it should be utilized as an opportunity to improve the textbook. Third, in order to realize competencies-centered education in the school, there should be development of teaching and learning materials that can be used directly.

• Journal of the Korean earth science society
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• v.31 no.1
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• pp.36-50
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• 2010

The purpose of this study is to investigate the aspect of variation of the texts in elementary and secondary school science textbooks at each grade level in terms of linguistic features. Data included some of the written texts related to 'Volcano and Earthquake' in Korean elementary and secondary school science textbooks in the seventh National Curriculum. The written texts were comparatively analyzed in terms of textual meaning, interpersonal meaning, and ideational meaning. Results revealed that there were different structures and linguistic features of the texts in school science textbooks depending on the grade level. Therefore, we argue that the differences in this study may make students feel difficult and strange when they read and understand science textbooks. We suggest that science teachers need to play the role of a mediator between students' understanding and the structural features of the scientific language in science learning.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.847-851
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• 2004

In the original mixture density network(MDN), which was introduced by Bishop and Nabney, the parameters of the conditional probability density function are represented by the output vector of a single multi-layer perceptron. Among the recent modification of the MDNs, there is the so-called modified mixture density network, in which each of the priors, conditional means, and covariances is represented via an independent multi-layer perceptron. In this paper, we consider a further simplification of the modified MDN, in which the conditional means are linear with respect to the input variable together with the development of the MATLAB program for the simplification. In this paper, we first briefly review the original mixture density network, then we also review the modified mixture density network in which independent multi-layer perceptrons play an important role in the learning for the parameters of the conditional probability, and finally present a further modification so that the conditional means are linear in the input. The applicability of the presented method is shown via an illustrative simulation example.