• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.95-103
• /
• 2023

This paper proposes an artificial intelligence convergence education program for teaching the main concept and principle of Support Vector Machines(SVM) at elementary schools. The developed program, based on Jeju's natural environment theme, explains the decision boundary and margin of SVM by vertical and parallel from 4th grade mathematics curriculum. As a result of applying the developed program to 3rd and 5th graders, most students intuitively inferred the location of the decision boundary. The overall performance accuracy and rate of reasonable inference of 5th graders were higher. However, in the self-evaluation of understanding, the average value was higher in the 3rd grade, contrary to the actual understanding. This was due to the fact that junior learners had a greater tendency to feel satisfaction and achievement. On the other hand, senior learners presented more meaningful post-class questions based on their motivation for further exploration. We would like to find effective ways for artificial intelligence convergence education for elementary school students.

• Journal of the Korea Convergence Society
• /
• v.7 no.3
• /
• pp.71-75
• /
• 2016

The English language listening environment in Korea nowadays is situated in a quiet and artificial state rather than one of natural exposure. The purpose of this study is to investigate the effectiveness of convergence for pronunciation and listening activities using English advertisements. A survey sample of 40 students was chosen for this study. These 40 students successfully answered the questionnaire and took a 3 hour English course as an elective. Pre and post surveys tests were done for listening ability and learning interests. For the listening tests, TOEIC L.C. test were used and survey questions about interests made by Sunhee Park were revised to be proper used. The results of this study show a positive impact on TOEIC listening ability and that students are able to listen and naturally pronounce more successfully through convergence using English advertisements with higher learning motivation.

• Journal of the Korean School Mathematics Society
• /
• v.21 no.4
• /
• pp.377-400
• /
• 2018

With the rapid industrialization and the advent of the era of the Fourth Industrial Revolution, the importance of character education is on the rise. The purpose of this study is to develop the Instructional model that can make the school classroom as a democratic learning community based on general classes and naturally realize the character education in addition to the other subject-matter education. A draft of the instructional model was implemented to confirm that the factors of the character education in mathematics could be improved. The toughness index was measured by using the Character Scale for School Mathematics(CSSM) before and after implementation. Based on the results of the measurement, we completed a P (personal) instruction model and a S (social) instruction model that can enhance the factors of the character education in mathematics based on the democratic learning community through the advisory committee.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.14 no.4
• /
• pp.239-246
• /
• 2021

In the field of computer graphics and HCI, there are many studies on systems that create characters and interact naturally. Such studies have focused on the user's response to the user's behavior, and the study of the character's behavior to elicit positive emotions from the user remains a difficult problem. In this paper, we develop a prototype of an interaction system to elicit positive emotions from users according to the movement of virtual characters using artificial intelligence technology. The proposed system is divided into face recognition and motion generation of a virtual character. A depth camera is used for face recognition, and the recognized data is transferred to motion generation. We use imitation learning as a learning model. In motion generation, random actions are performed according to the first user's facial expression data, and actions that the user can elicit positive emotions are learned through continuous imitation learning.

• Journal of The Korean Association For Science Education
• /
• v.34 no.6
• /
• pp.571-581
• /
• 2014

This study aims to investigate how high school teachers and students perceive the purpose of science learning. Participants were high school science teachers and students from one hundred and sixty high schools nationwide, which were selected through proportional stratified sampling method. Teachers and students responded on open-ended questionnaires about the purpose of science learning. The data were analyzed using the semantic network analysis method. Our study illustrates three major finding: First, teachers recognized the intrinsic value related to cognitive domain as the more important purpose of science learning, while students recognized the extrinsic value related to personal usefulness domain as more important. Second, teachers' responses were significantly different depending on the teaching career. Beginning teachers believed both intrinsic and extrinsic values were equally important, while experienced teachers believed the cognitive domain about understanding of scientific knowledge was more important than intrinsic values. In other words, the differences in perception of the purpose of science between teachers and students, the experienced teachers is greater than the beginning teachers. Finally, students' responses were different depending on their academic track. Humanity major students recognized that learning science made their everyday-life easier while science major students recognized that learning science should be related to their future careers. In conclusion, the results of this study is expected to be of use as the basic data to identify the characteristic of teachers and students related to science.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.533-535
• /
• 2015

Recently bleak outside the city to find a peace of mind to education for children living in nature while enjoying the leisure life As more families there is growing interest in managing a farm on weekends grow crops by the weekend. However, due to the need for a weekend farm has a lot of information in order to receive pre-sale of farm experience and meets the conditions demanding application process simply weekend to participate in the farm program there is a difficulty. In this paper, in order to solve these problems and to develop a farm Sale and learning system using a public API to the smart phone applications. The system basically provides information and tips on growing farm so that you can easily get pre-sale and manage weekend farm Bulletin boards, albums, providing a play culture that can improve the learning ability of children with certain management functions to increase the degree of interest and participation in weekend farm.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.8
• /
• pp.1136-1141
• /
• 2022

Researches of face recognition on masked faces have been increasingly important due to the COVID-19 pandemic. To realize a stable and practical recognition performance, large amount of facial image data should be acquired for the purpose of training. However, it is difficult for the researchers to obtain masked face images for each human subject. This paper proposes a novel method to synthesize a face image and a virtual mask pattern. In this method, a pair of masked face image and unmasked face image, that are from a single human subject, is fed into a convolutional autoencoder as training data. This allows learning the geometric relationship between face and mask. In the inference step, for a unseen face image, the learned convolutional autoencoder generates a synthetic face image with a mask pattern. The proposed method is able to rapidly generate realistic masked face images. Also, it could be practical when compared to methods which rely on facial feature point detection.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.21 no.1
• /
• pp.24-39
• /
• 2022

This study was conducted to provide implications so that teachers' voices are heard in the social consensus for future schools by exploring teachers' needs for future school spaces. A qualitative study was performed to listen to teachers' voices directly, and 10 teachers from "A" Elementary School (tentative name) participated in the study. The study 1) recognized the emergence of learning that transcends time and space, and emphasized the importance of an ICT-based informatization environment that can support such learning, 2) confirmed the characteristics of futuristic school spaces centered on "tradition" and "technology," 3) recognized the importance of learning community spaces, 4) emphasized "variable" classrooms for flexible teaching and learning activities, and 5) confirmed the need to introduce eco-friendly elements and provide support for those who may be vulnerable in high-tech learning environments. Finally, the study concluded that teachers need systematic education and experiences that contain sufficient important discourses related to future schools such as "eco-friendliness" and "connection with local communities".

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.3
• /
• pp.811-816
• /
• 2023

With the emergence of a climate crisis, climate disasters have recently been clearly felt in Korea. In particular, the typhoon 'Hinnamno' in the summer of 2022 made many people feel a sense of crisis with its formidable power. In this situation, children are likely to suffer great damage even in small crises due to their lack of experience and ability to cope with disaster situations. In this paper, we introduce a disaster response learning application that supports children's disaster response training. Designed based on research results on situational learning theory and child disaster safety education, this system produces various episodes and trains them to encounter disaster situations. Children can participate in the episode by choosing options during the episode, which is reflected in the picture diary after the episode is completed. By providing information naturally in the picture diary, children can access how to cope with disaster situations. Through this system, children are expected to develop their judgment in disaster situations that they can encounter and have the ability to secure basic safety outside of adult help.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.2C
• /
• pp.81-88
• /
• 2006

This study performed field and laboratory tests for poor subsoils taken in six regions of the country and determined undrain shear strength. Su values and preconsolidation pressure are predicted using Back Propagation neural network (BPNN) and the application of BPNN is verified. The result of BPNN shows that correlation coefficient between test and neural network result is over 0.9, which means high correlativity. Especially the neural network uses only 6 parameters such as natural water content, void ratio, specific gravity, rate of passing 200th sieve, liquid limits and plasticity index among various affecting factors to estimate value and the correlation coefficent is 0.93. The conclusions obtained in this paper are from the tests performed for poor subsoils taken in the several regions of the country. If there were more test results, the prediction and influence of various soil properties could be effectively performed by neural network.