• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.806-813
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• 2010

Human facial expression shows human's emotion most exactly, so it can be used as the most efficient tool for delivering human's intention to computer. For fast and exact recognition of human's facial expression on a 2D image, this paper proposes a new method which integrates an Discrete Adaboost classification algorithm and a neural network based recognition algorithm. In the first step, Adaboost algorithm finds the position and size of a face in the input image. Second, input detected face image into 5 Adaboost strong classifiers which have been trained for each facial expressions. Finally, neural network based recognition algorithm which has been trained with the outputs of Adaboost strong classifiers determines final facial expression result. The proposed algorithm guarantees the realtime and enhanced accuracy by utilizing fastness and accuracy of Adaboost classification algorithm and reliability of neural network based recognition algorithm. In this paper, the proposed algorithm recognizes five facial expressions such as neutral, happiness, sadness, anger and surprise and achieves 86~95% of accuracy depending on the expression types in real time.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.725-731
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• 2013

The Jews has been cited as the most influential nations in the world of politics, economy, and culture in many areas. For these reasons, the study of Jewish economic life such as child-rearing, family life, and religious life is getting expanded to various areas. In this paper, we deal with the Jews's play for the various areas. Play is the best way to see the consciousness of a certain age on learning the structure and lifestyle. Therefore, the research is described to produce serious games based on by study of Jewish play using information in the internet, researched paper. Then, the investigated play's role of technology for production of functional game plans are discussed. As a result, the Jews play: 1) the history, traditions of wisdom, tools, 2) a medium for delivering educational messages, 3) the formation of community tools emotions 4) promise to play a role as a tool for learning. The development and Release of serious games based on Jews play can lead to a positive social learning effect.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.23-29
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• 2019

In this paper, the mood of images was classified into eight categories through a deep convolutional neural network and video was automatically generated using proper background music. Based on the collected image data, the classification model is learned using a multilayer perceptron (MLP). Using the MLP, a video is generated by using multi-class classification to predict image mood to be used for video generation, and by matching pre-classified music. As a result of 10-fold cross-validation and result of experiments on actual images, each 72.4% of accuracy and 64% of confusion matrix accuracy was achieved. In the case of misclassification, by classifying video into a similar mood, it was confirmed that the music from the video had no great mismatch with images.

• Journal of Korean Classical Literature and Education
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• no.39
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• pp.41-66
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• 2018

This paper investigates how narrative folk songs have been transmitted and enjoyed through literature data and field research, and discusses their educational significance. Narrative folk songs have changed from songs that were enjoyed by common women to songs enjoyed by upper class men according to the times. They have ranged from tragic songs lamenting hardships to comic songs that relieve oppression, depending on the performance situation. Moreover, narrative folk songs have been enjoyed through media transmission beyond traditional custom. Narrative folk songs have not been enjoyed in one fixed way, but rather in various ways depending on the situation, so they have functioned to enable common women, who are their main singers, to share emotions, communicate, and maintain their community. Therefore, in literature education, narrative folk songs can be used as very appropriate materials for learners to reflect on themselves, communicate with others and contribute to desirable community life. By experiencing the various ways of enjoying narrative folk songs, learners will be able to grow into subjects who actively solve their own problems and those of their communities.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.486-498
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• 2018

This study is a descriptive research study conducted to provide useful preliminary data that is helpful for self-initiated learning through a preference trend-based learning method by analyzing the personality types of university students in an area. In this study, the self-administered MBTI form $M^{(R)}$ test was performed on 695 students of 10 departments at K University, from September 18 to 22, 2017, using an automatic scoring system. Collected data was analyzed with descriptive statistics and Chi-square test, using the SPSS Win 22.0 Program, to sort the target students into one of 16 different personality types and examine psychological function and temperament by their personality. Differences in personality type preference by gender were as follows: for judging function, the male students had a strong preference for the T type (thinking type) while the female students showed a high preference for the F type (feeling type), and in the case of the pattern of behavior and lifestyle, the male students and the female students had a strong preference for the P type (perceiving type) and the J type (judging type), respectively. In addition, there were significant differences for each major and each department in personality type, psychological function and temperament. In conclusion, personality type was found to vary by gender, major and department. It would be necessary to develop a manual for learning methods reflecting individual preference.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.472-482
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• 2012

There are many investors in the stock market, and more and more people get interested in the stock investment. In order to avoid risks and make profit in the stock investment, we have to determine several aspects using various information. That is, we have to select profitable stocks and determine appropriate buying/selling prices and holding period. This paper proposes a data mining tool for the investors' decision support. The data mining tool makes stock investors apply machine learning techniques and generate stock price prediction model. Also it helps determine buying/selling prices and holding period. It supports individual investor's own decision making using past data. Using the proposed tool, users can manage stock data, generate their own stock price prediction models, and establish trading policy via investment simulation. Users can select technical indicators which they think affect future stock price. Then they can generate stock price prediction models using the indicators and test the models. They also perform investment simulation using proper models to find appropriate trading policy consisting of buying/selling prices and holding period. Using the proposed data mining tool, stock investors can expect more profit with the help of stock price prediction model and trading policy validated on past data, instead of with an emotional decision.

• Korean Journal of Child Education & Care
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• v.17 no.2
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• pp.45-73
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• 2017

The purpose of this study was to suggest the effects of early childhood design program based on brain-compatible learning principles. Subjects were thirty-six children from two class of I kindergarten and S kindergarten in K city. One class was assigned to an experimental group and had early childhood education program activities based on brain-compatible learning principles and the other class was assigned to a comparative group the general art education program activities. The results of this study are as follows. First, there was a significant difference between the experimental group and the comparative group in their fluency, originality, sensitivity of creativity. Second, participants in the experimental group also score higher on the helpful act, communication skill, sharing skill, empathy, and regulation of emotion. Therefore, early childhood design education program based on brain-compatible learning principles should be considered as a meaningful alternative method for promoting children's creativity and prosocial behaviors.

• Journal of Korean Home Economics Education Association
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• v.32 no.4
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• pp.1-18
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• 2020

The purpose of this study is to improve media literacy through home economics education. To this end, in this study, developed were 10 teaching-learning plans, learning activity sheets, and teaching materials for the 'relationship' area, the core concept of the 2015 revised home economics curriculum, using the ADDIE method. Pre- and post-survey results after implementing the developed program showed statistically significant improvements in enhancing participants' ability to access media and critical understanding of media. Through this, also found was that the ability to express and produce one's own thoughts and feelings has improved. As a result of a qualitative analysis, it was found that students who participated in the class experienced an overall change in the performance goals of media literacy, especially in 'critical understanding and evaluation', and improved in media use ethics and social participation consciousness as well. It is significant that this study has developed a program that can foster media literacy in home economics education. It is expected to help improve the acceptability of media literacy education in home economics education, enhancement of the expertise of home economics teachers' media literacy education, and the improvement of teaching and learning activities in the field.

• Education of Primary School Mathematics
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• v.22 no.4
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• pp.261-280
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• 2019

This study is a qualitative study on the case of teaching mathematics between parents and children. 12 lesson units were applied to the 5th grade elementary school child for the first semester, 2019. The purpose of this study was to identify conceptual understanding in the area, the types of problems that child felt difficult during the learning and parents' advantages and difficulties in this setting. For this study, video recording and voice recording were collected for each lesson class. The concept of the area was recognized correctly, the awareness of reconstruction became clear, and the concept of partitioning, unit iteration and structuring an array was more clearly rebuilt. He showed difficulty in conversion between units of the area, in displaying height of the shape whose height is displayed outside and drawing type of figure with same area after the value of the area was offered. In the learning situation of parents and children, parents who are researchers have the advantage of being able to customize up to their children and being free from time and cost constraints. There were difficulties in controlling negative emotion toward the child, determining the level of the children, distribution the class time and deciding the degree of intervention. Furthermore, research on parenting and child-to-parent teaching in mathematics is recommended.

• Journal of The Korean Association For Science Education
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• v.43 no.3
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• pp.307-319
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• 2023

This study aims to explain the key concepts and principles of text-based generative artificial intelligence (AI) that has been receiving increasing interest and utilization, focusing on its application in science education. It also highlights the potential and limitations of utilizing generative AI in science education, providing insights for its implementation and research aspects. Recent advancements in generative AI, predominantly based on transformer models consisting of encoders and decoders, have shown remarkable progress through optimization of reinforcement learning and reward models using human feedback, as well as understanding context. Particularly, it can perform various functions such as writing, summarizing, keyword extraction, evaluation, and feedback based on the ability to understand various user questions and intents. It also offers practical utility in diagnosing learners and structuring educational content based on provided examples by educators. However, it is necessary to examine the concerns regarding the limitations of generative AI, including the potential for conveying inaccurate facts or knowledge, bias resulting from overconfidence, and uncertainties regarding its impact on user attitudes or emotions. Moreover, the responses provided by generative AI are probabilistic based on response data from many individuals, which raises concerns about limiting insightful and innovative thinking that may offer different perspectives or ideas. In light of these considerations, this study provides practical suggestions for the positive utilization of AI in science education.