• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.363-370
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• 2018

This study aims to analyze the impact of motivation through Response-Based Learning (RBL) on elementary students' attitude of participation and change before and after a Physical Education class and provide a perspective on the understanding of the practice of the PE class. For this purpose, this study selected 115 students in fifth grade in N. Elementary School located in the C. region as subjects, regardless of their sex. An exploratory factorial analysis was conducted with the subjects, and they were analyzed, applying a product-moment coefficient to examine the similarity between the factors. As shown in the result of this study, it is necessary to promote student-centered education instead of one-sided cramming education. Also, it is important to consider and convergence on apply the factors of learning before and after the class to be able to contribute to students' active and positive participation in the PE class.

• Journal of the Korean housing association
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• v.24 no.1
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• pp.1-10
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• 2013

Number of children cared by child care centers has getting up almost half of the from zero to five year age group in korea. Home care children' activities are reported more active and natural than those of center care children. So this study seek the design guidelines for the residential core model of child care centers as second home in korea. The residential core model by Anita Lui Olds was selected and ten domestic center cases were surveyed for guidelines. Firstly, daily-residential core model is learning by daily life at home, and is equiped with cooking kitchenet and group activity area in group room. Secondly, play-residental core model is learning by playing by self, and is equiped with acting, eating and reading common area clustering two or three group room. Thirdly, eco-residental core model is learning by eco-friendly activities, and is equiped with companying, cooperating and sharing area. Fourthly, project-residental core model is learning by project by self, and is equiped with drawing, experimenting and presenting common area. Fifthly, the space of residential core model is organized with three or four group room and clustering living or common area. The larger the center is, the more the cluster is vertically. Facility area and outdoor playground per child is about 7 and $3m^2$.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.662-665
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• 2013

ITS(Intelligent Tutoring System) is a system that provides active and flexible tutoring conditions to learners, having adopted artificial intelligence to overcome the limitations of CAI(Computer Assisted Instruction). However, the existing ITS has a few problems; the system provides the same contents to every learner, not considering main variants of their learning and achievement, characters and levels, and therefore, it does not generate satisfactory results; the system does not offer a properly designed course schedule. Therefore, this thesis proposes ARS(Adaptive Recommendation System), founded on ITS, that provides contents designed based on the characters and levels of learners. To catch the characters of learners, the important variant for successful learning, ARS applies and embodies a module of self-assessment test. Also, it puts weighs according to the areas of learning which is different from the simplified assessment that asks for short and mechanical answers for the purpose of knowing the levels of the learners.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.187-202
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• 2020

Can job training be considered a social right? Who must bear the costs of individual job training? This paper studies these two issues by examining the Korean Individual Learning Accounts (ILA) revised in 2020 and proposes future policy directions. Although there is no explicit legal provision stipulating job training as a lawful right in Korea, such absence does not negate the government's role of providing vulnerable people, etc with necessary training. Korean ILA heavily depends on the Skills Development Scheme under the Employment Insurance System which succeeded the past mandatory training levy system and it becomes harder to maintain principle of insurance because of sizable volume of atypical workers who are not insured. For future policy directions, it is desirable to increase the burden of general budget and self-financing as they are below 30% combined and the coverage of the ILA needs to be steadily expanded to all economically active people. Also, labor-management should step up joint efforts to stimulate the use of already existing policies such as paid training leave and request for reduction of working hours.

• Journal of IKEEE
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• v.24 no.3
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• pp.766-776
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• 2020

Recently, as interest in machine learning (ML) has increased and research using ML has become active, it is becoming more important to find an optimal hyperparameter combination for various ML models. In this paper, among various hyperparameters, we focused on ML optimizers, and measured and compared the performance of major optimizers using various datasets. In particular, we compared the performance of nine optimizers ranging from SGD, which is the most basic, to Momentum, NAG, AdaGrad, RMSProp, AdaDelta, Adam, AdaMax, and Nadam, using the MNIST, CIFAR-10, IRIS, TITANIC, and Boston Housing Price datasets. Experimental results showed that when Adam or Nadam was used, the loss of various ML models decreased most rapidly and their F1 score was also increased. Meanwhile, AdaMax showed a lot of instability during training and AdaDelta showed slower convergence speed and lower performance than other optimizers.

• Journal of Engineering Education Research
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• v.23 no.3
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• pp.49-58
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• 2020

In the era of the fourth industrial revolution, the world is undergoing rapid social change. The purpose of this study is to predict the expected changes and necessary competencies and desired curriculum and teaching methods in the field of mechanical engineering in the near future. The research method was a Delphi study. It was conducted three times with 20 mechanical engineering experts. The results of the study are as follows: In the field of mechanical engineering, it will be increased the situational awareness by the use of measurement sensors, development of computer applications, flexibility and optimization by user's needs and mechanical equipment, and demand for robots equipped with AI. The mechanical engineer's career perspectives will be positive, but if it is stable, it will be a crisis. Therefore active response is needed. The competencies required in the field of mechanical engineering include collaborative skills, complex problem solving skills, self-directed learning skills, problem finding skills, creativity, communication skills, convergent thinking skills, and system engineering skills. The undergraduate curriculum to achieve above competencies includes four major dynamics, basic science, programming coding education, convergence education, data processing education, and cyber physical system education. Preferred mechanical engineering teaching methods include project-based learning, hands-on education, problem-based learning, team-based collaborative learning, experiment-based education, and software-assisted education. The mechanical engineering community and the government should be concerned about the education for mechanical engineers with the necessary competencies in the era of the 4th Industrial Revolution, which will make global competitiveness in the mechanical engineering fields.

• Journal of Korean Home Economics Education Association
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• v.5 no.1
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• pp.45-59
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• 1993

The aims of this study are to develop CAI programs for bodice and sleeve pattern drafting for the 3rd grade students in a middle school and to compare the students’achievement degree in using traditional teaching method with that in using CAI programs. On the basis of results above the direction and possibility of using computers in education home economics is another aim. For this study, after the programs are developed, which is on the model of middle school text book, one hundred girl students of 2nd grade of middle school in Songpa Gu, Seoul, who have never given Bodice and Sleep Pattern Drafting lesson are chosen. The students are divided into two groups: one is called comparison group, which is taught by traditional method, the other, experimental group, which is taught by CAI programs. To evalute the learning achivement degree, evaluation test, effectiveness of learning and interest degree test and time test are given. Questionaire investigation about CAI program is given to experimental group. The results of this study are as follows: 1. CAI programs on pattern drafting are developed and can be used in the class. 2. In the tests of achievement degree, of effectiveness, and of interest the experimental group gets higher scores than the comparison group. 3. In the time test about how many students can draft the pattern in a given time, in every step more students in experimental group finished drafting than the comparison group. 4. The students showed interest in CAI programs and played an active part in the using computers. Therefore, using CAI programs in the class of pattern drafting saved the teachers lots of difficulties and enables individual learning improving the effectiveness of learning. I hope the studies of CAI will be established in other field as well as Home Economics, especially clothing part, and computers will be used lively

• Journal of The Korean Association of Information Education
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• v.22 no.4
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• pp.447-455
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• 2018

The purpose of this study is to investigate the effects of SW education using robot based on card coding on learning motivation and attitude of elementary school students. To do this, we conducted 8-hour SW education based on the CT concept of sequence, repetition, event, and control using the Truetrue, which is coded by command card for the 3rd grade of elementary school students. For the experiment, we examined the learning motivation for SW education and the attitude toward SW education based on the robot in advance. As a result, the students' motivation to learn SW education showed a statistically significant improvement. In addition, the attitude toward robot-based SW education improved statistically significantly as "good, convenient, interesting, easy, friendly, active, special, understandable, easy, simple". These results are expected to contribute to the expansion of education through various approaches of SW education.

• Journal of Korean Elementary Science Education
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• v.39 no.1
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• pp.1-14
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• 2020

This study analyzed the illustrations presented in the elementary science paper textbooks and digital textbooks under the 2015 revised curriculum in terms of gender role stereotypes. The frequency of pupils and adults on illustrations was counted by gender, and the types of activities and behavior of characters were analyzed. For pupils, paper textbooks showed a higher frequency of girls than boys, and digital textbooks showed similar gender rates. In the aspect of the activity, paper textbooks showed similar gender rates in non-learning activities, but more girls in learning activities. In digital textbooks, the learning activity was balanced by gender, but the non-learning activities presented boys more frequently. For both paper and digital textbooks, most pupils were described to be active regardless of gender. For adults, paper textbooks were balanced in the frequency by gender, but digital textbooks had a higher proportion of men. Paper textbooks showed similar gender rates in out-of-home activities, but more men in housework activities. In digital textbooks, housework activities were balanced by gender, but out-of-home activities presented men more frequently. For both paper and digital textbooks, men appeared in a broader range of occupations than women. Female scientists appeared more than male scientists in paper textbooks, and opposite tendency appeared in digital textbooks. As a result of analyzing the characteristics of adults, both paper and digital textbooks showed gender stereotypes in specific behavioral characteristics.

• Smart Media Journal
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• v.6 no.3
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• pp.41-48
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• 2017

Event detection using social media has been widespread since social network services have been an active communication channel for connecting with others, diffusing news message. Especially, the real-time characteristic of social media has created the opportunity for supporting for real-time applications/systems. Social network such as Twitter is the potential data source to explore useful information by mining messages posted by the user community. This paper proposed a novel system for temporal event detection by analyzing social data. As a result, this information can be used by first responders, decision makers, or news agents to gain insight of the situation. The proposed approach takes advantages of deep learning methods that play core techniques on the main tasks including informative data identifying from a noisy environment and temporal event detection. The former is the responsibility of Convolutional Neural Network model trained from labeled Twitter data. The latter is for event detection supported by Recurrent Neural Network module. We demonstrated our approach and experimental results on the case study of earthquake situations. Our system is more adaptive than other systems used traditional methods since deep learning enables to extract the features of data without spending lots of time constructing feature by hand. This benefit makes our approach adaptive to extend to a new context of practice. Moreover, the proposed system promised to respond to acceptable delay within several minutes that will helpful mean for supporting news channel agents or belief plan in case of disaster events.