• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.287-293
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• 2024

This research studied the cognitive impact of classes using artificial intelligence on aviation technical school students. First, we developed a class consisting of a class based on traditional presentation materials and a class composed of speech-to-text (STT)-based artificial intelligence materials. A 133 students from an aviation education institution participated in two types of classes. We measured students' cognitive load and Mind Wandering test results before and after class, and conducted an achievement evaluation. As a result of the test analysis, we confirmed that extraneous cognitive load was reduced, content concentration increased, and achievement improved. In the future, we hope that AI-based STT classes will be widely used in schools that teach technology.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.115-122
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• 2007

The aim of this study is to identify the effect that the blended learning has on the learning achievement of computer education in high school. To get the goal, 136 students were allocated into the experiment group(68 students) with the blended class and the control group(68 students) with the traditional face-to-face class. After identifying the homogeneity of two groups in learning achievement by analyzing the pre-test, the experiment was performed. The result of this research is as follows. Significant difference was found in the learning achievement of post-test between the experiment group and the control group (t=-3.16, p=.0019). This result underlies the potential of blended learning in computer education. It will be important for designing the class for computer education in high school.

• Korean Journal of Social Welfare Studies
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• v.48 no.2
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• pp.303-329
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• 2017

This study aimed to explore the trajectories of computer game use of school age children and to identify the related predictors. The data for this study used Korean Children and Youth Panel data covering from the second year to the sixth year of elementary school. A total of 1,959 participants were analyzed. Latent class growth model was employed to explore the trajectories of computer game use and multinomial logistic regression was conducted to identify the significant predictors. Main results indicated that three types of trajectories were identified: low game using group, high initial using-fluctuating group, and high increasing game using group. Each group was found to be associated deferentially with sex, aggression, attention deficit, main caregiver's education, siblings, parent absence after-school, neglecting, family income, family trip, school grades, and peer relationship. Based on these findings, this study emphasized the importance of predictive intervention for the game user among early school age children and suggested useful practical strategies.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1670-1673
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• 2002

For pattern recognition on high-dimensional data, such as images, the dimensionality reduction as a preprocessing is effective. By dimensionality reduction, we can (1) reduce storage capacity or amount of calculation, and (2) avoid "the curse of dimensionality" and improve classification performance. Popular tools for dimensionality reduction are Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Independent Component Analysis (ICA) recently. Among them, only LDA takes the class labels into consideration. Nevertheless, it, has been reported that, the classification performance with ICA is better than that with LDA because LDA has restriction on the number of dimensions after reduction. To overcome this dilemma, we propose a new dimensionality reduction technique based on an information theoretic measure for difference of distribution. It takes the class labels into consideration and still it does not, have restriction on number of dimensions after reduction. Improvement of classification performance has been confirmed experimentally.

• Journal of the Korean Institute of Educational Facilities
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• v.5 no.3
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• pp.98-106
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• 1998

This paper is to find out a possibility that, adapting article 81 of regional finacing law, the community develops community facilities such as gymnagiums, swimming pools, and parking facilities in school site. The study requires an agreement about managements between the mayor and the superintendent of education. This paper also surveys community's needs with respect to use of school facilities before and after class, willingness to pay for the school use, and use of school facilities by private institutions. This paper adopts two experimental case studies to find a feasibility of community building construction in school sites. It also adopts dscriptive analysis of the statistics to find out the degree of willingness to use by community people. It is found, first, that regional finacing law permits community facilities' development in school sites and an agreement between the mayor and the superintendent of education about usage and profits should be made by the rate of construction fee and land cost. The second is that 65.8% of community people want to use school facilities such as gymnasium and school ground. And favorite series of physical exercise is swimming, baminton, tennis in order. The third is that 66.4% of community people have willingness to pay for the use of school facilities. The fourth is that school facilities such as class room, special class room, and computer room can be used by private institutions. 75% of community people agree to use school facilities by the private institutions. Favorite series on these are classes for reviewing the lessons, language classes, classes for playing musical instruments in order.

• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.109-120
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• 2016

The purpose of this paper is to develop and apply instructional model to improve awareness of information accessibility for gifted students in computer science. The model applied to class is designed based on Problem-Based Learning(PBL). The class was for 42 students(22 elementary school students, 20 middle school students), and the questions, cognition of the necessity for accessibility, behavior intent for accessibility were given before and after class. Additionally, interest, satisfaction and flow were given after the class. The results of this study are as follows. Firstly, it shows a difference on the changes of cognition on the necessity and behavior intent. As a gender difference, specifically, it shows a difference on the cognition of female students's necessity and behavior intent of male students. As a class level difference, specifically, it statistically shows a meaningful difference on cognitive of the necessity of elementary school students and behavior intent of middle school students. Secondly, after class, it shows a high level of interest, satisfaction. But it shows a general level of flow, so various strategies should be developed for covering the flow level.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.1-5
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• 2011

A change toward a digital society is requiring of the human quotient who had new informatization ability, and is large to education is affecting it. The digital Storytelling which effective anger to be educational of traditional Storytelling was combined with came into being in these changes. As I provide together multi-media element such as a screen and sound digital Storytelling jumps over the existing Storytelling, and to move, I easily cause an interest of student, and I stimulate intellectual faculties various of a schoolchild, and I make bidirectional enemy interaction possible. Therefore, I extract whether it is the education that it can apply on-site an elementary school of a cow in this study after analyzing digital Storytelling, and digital Storytelling designs the class that it is possible, and I will present it.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.204-207
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• 2002

The current paper proposes a new multispectral image data compression algorithm that can efficiently reduce spatial and spectral redundancies by applying classified prediction, a Karhunen-Loeve transform (KLT), and the three-dimensional set partitioning in hierarchical trees (3-D SPIHT) algorithm In the wavelet transform (WT) domain. The classification is performed in the WT domain to exploit the interband classified dependency, while the resulting class information is used for the interband prediction. The residual image data on the prediction errors between the original image data and the predicted image data is decorrelated by a KLT. Finally, the 3D-SPIHT algorithm is used to encode the transformed coefficients listed in a descending order spatially and spectrally as a result of the WT and KLT. Simulation results showed that the reconstructed images after using the proposed algorithm exhibited a better quality and higher compression ratio than those using conventional algorithms.

• Journal of The Korean Association of Information Education
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• v.11 no.3
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• pp.267-279
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• 2007

The purpose of this study is to design and practice teaching and learning method for routing algorithm among computer science principle which is difficult to be taught to elementary school students and understood by students. And we find out whether elementary school students can understand those learning contents. Intellectual area was assessed through equivalent test paper before and after the test and emotional area was assessed through students' impressions after class. The test showed that routing algorithm could be taught to children. Therefore, this study presents the learnability of routing algorithm as a learning element of elementary school computer education.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.187-192
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• 2021

The purpose of this study is a method to discover problems and improve them by analyzing the status of software education of A primary school conducted by online class. The coronavirus infection-19(COVID-19) pandemic, which began in early 2020, has continued to delay the start of the new semester. Finally, on April 9, 2020, the first semester began with online class. While progressing non-face to face online class, most students said they had difficulties. Students solved difficulties in class with Internet searches or program hints, not teachers. In the post-class self-evaluation, most students answered that there was no increase in coding skills. To solve this problem, the school rents additional smart devices to student. schools should have real-time interactive classes. After covid 19, online class became a paradigm for classes. Therefore, software education will also require research and development of curriculum and teaching learning methods suitable for online classes.