• International Journal of Knowledge Content Development & Technology
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• 제3권2호
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• pp.29-42
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• 2013

The purpose of this study is to explore the information management behaviors of undergraduate students in their dormitory rooms, using Personal Information Management (PIM) as the theoretical framework. Ethnographic methods were applied to study how students devise their own systems combining digital and traditional tools to collect, create, manipulate, organize, and manage the information they need to fulfill their roles as university students. Results show a broad diversity of behaviors influenced more by individual learning styles and preferences than high-tech gadgetry. It is proposed that just as every individual has unique learning styles and preferences, so too do we have individual information styles, and we apply our tools and gadgets in our own ways to best accommodate our own styles.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권3호
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• pp.327-336
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• 2004

In distributed autonomous mobile robot system, each robot (predator or prey) must behave by itself according to its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot have both learning and evolution ability to adapt to dynamic environment. This paper proposes a pursuing system utilizing the artificial life concept where virtual robots emulate social behaviors of animals and insects and realize their group behaviors. Each robot contains sensors to perceive other robots in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used for behavior decision controller. The input of the neural network is decided by the existence of other robots and the distance to the other robots. The output determines the directions in which the robot moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation. Besides, in this paper, we could have observed the robots' emergent behaviors during simulation.

• 대한가정학회지
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• 제42권12호
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• pp.219-230
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• 2004

The purpose of this study was to investigate relationships between the family strengths, mothers' self-efficacy, and their young children's teaming-related social skills and behavior problems. The subjects were the 217 children aged 4 to 6 years and their mothers at private child care centers in Seoul. The Family Strengths Scale and the Mothers' Self-Efficacy questionnaire were administered to the mothers. The teachers rated the learning-related social skills and problem behaviors of each child whose mother returned a set of Questionnaires. Analysis of variance revealed statistically significant differences in the family strengths according to the education level of the mothers. The mean the family strength score was higher for working mothers than for non-working mothers. The results of the test were statistically significant differences in the scores on the learning-related social skills and problem behaviors between boys and girls. The family strengths were positively correlated with the mothers' self-efficacy, and the learning-related social skills of the young children, while they were negatively correlated with problem behaviors.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.196-204
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• 2017

Behavior of intelligent video surveillance system is recognized by analyzing the pattern of the object of interest by using the frame information of video inputted from the camera and analyzes the behavior. Detection of object's certain behaviors in the crowd has become a critical problem because in the event of terror strikes. Recognition of object's certain behaviors is an important but difficult problem in the area of computer vision. As the realization of big data utilizing machine learning, data mining techniques, the amount of video through the CCTV, Smart-phone and Drone's video has increased dramatically. In this paper, we propose a multiple-sliding window method to recognize the cumulative change as one piece in order to improve the accuracy of the recognition. The experimental results demonstrated the method was robust and efficient learning units in the classification of certain behaviors.

• 대한가정학회지
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• 제25권2호
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• pp.39-54
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• 1987

One's Clothing Satisfaction, has a great influence on his role behavior in a society. Especially, as for the teacher's and the professors whose role is teaching, it can not be too emphaszed. Above all, high school girls and college women are the most likely to be influenced by their teachers' clothing behavior, to whom they pay their respect in every way. From this point of view, this study was aimed at explaining, the correlation between the teachers/professors' clothing behaviors and the learning efficiency. On clothing behaviors assessed 30 items related with the learning efficiency, selected from the instruments of preceding studies, and modified by the factors dealing with modesty, color, and design. The questionnaires were composed of two major categories: those for students and for teachers/progessors. The subjects of this study were included students and teachers/professors of high school and universities in Seoul. The data were analyzed statically by mean, standard Deviation, and F-test. The results of this study were summerized as follows; 1. The clothing behaviors of the teachers/professors influenced on the learning efficiency. Namely teachers' clothing satisfaction is in direct proportion to them teaching efficiency and students' learning efficiency. 2. Among the clothing behavior variables, modesty had a great influence on the learning efficiency, especially as for that of teachers more than professors. 3. The influence of the teachers'/professors' clothing behaviors on the learning efficiency showed no significance between high school girls and college women, but some significance between the grades of collegians. 4. As for the teachers'/professors' clothing behavior, male teachers/professors gave priority to design and female teachers/professors to modesty, color showed no significance between them irrespective of age. 5. As for the clothing behavior variabels, both the teachers/professors and the students showed some significance. In class the teachers/professors highly responded to their own clothing behaviors than the students. 6. According to priority the most favorable clothing colors for male teachers/professors are navy blue, gray, indigo blue, and black, and the most disgusting ones red, mud yellow, violet, pink, and green. The most favorable clothing colors for female teachers/professors are beign, white, pale yellow, and black, and the most disgusting ones red, mud yellow, and yellow and yellow according to priority. It is that teachers/professors should wear modestly and in color harmony to invite the desirable students' will to study. Teachers'/professors' colorful appearance and heavy toilet bring about a drop in the students' will to study.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.944-947
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• 1996

Realization of autonomous agents that organize their own internal structure in order to behave adequately with respect to their goals and the world is the ultimate goal of AI and Robotics. Reinforcement learning gas recently been receiving increased attention as a method for robot learning with little or no a priori knowledge and higher capability of reactive and adaptive behaviors. In this paper, we present a method of reinforcement learning by which a multi robots learn to move to goal. The results of computer simulations are given.

• 아동학회지
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• 제26권4호
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• pp.173-188
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• 2005

To examine relationships between learning-related social skills(LRSS) and literacy development a sample of 167 children aged 5-6 years were selected from 3 preschools in Seoul. Instruments for measuring LRSS were the cooperation, assertion, and self-control scales of the Social Skills Rating System (Gresham & Elliott, 1990) and the mastery behaviors scales of the Child Behavior Rating Scale (Bronson, et al. 1990). Literacy development was measured by the Concepts about Print(Woon, 1999), the Learning Readiness Scale(Korean Educational Development Institution 1998), and the Writing Development Scale(Lee, 1997). Teachers rated children's LRSS. Data were analyzed by mean, standard deviation, t-test, bivariate correlation, and regression analysis. LRSS correlated with children's literacy development. Mastery behaviors were the best predictor of literacy development.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제18권1호
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• pp.58-65
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• 2007

Objectives : Motivational factor is a unique contributor to the typically poor academic performance of children with ADHD. However, few study has directly intervened learning motivation in children with ADHD. We conducted this study to explore the direct effects of the learning motivation improvement program applied to children with ADHD. Method The program was designed in order to increase an interest-inducing educational intervention, an academic skills integration, a basic learning activity (reading, writing, and math), and children's self-esteem. We conducted the program twice a week (total 10 sessions) and assessed learning motivation, teaming attitude, self-esteem, academic performance, and problem behaviors of participating children. Results : After the program, teachers reported improvement in teaming motivation. In addition, parents notified sisnificant reduction of problem behaviors. Children reported improvement in a few domains of teaming motivation and learning attitude. Conclusion : While loaming motivation is regarded as an important factor in education, there have been few studies considering this issue in both educational and psychiatric fields. The teaming motivation improvement would be needed in both field in order to reduce the deficits in academic performance in children with ADHD.

• Asia pacific journal of information systems
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• 제33권3호
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• pp.737-767
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• 2023

With the availability of big customer data and advances in machine learning techniques, the prediction of customer behavior at the session-level has attracted considerable attention from marketing practitioners and scholars. This study aims to predict customer purchase conversion at the session-level by employing customer profile, transaction, and clickstream data. For this purpose, we develop a multimodal deep learning fusion model with dynamic and static features (i.e., DS-fusion). Specifically, we base page views within focal visist and recency, frequency, monetary value, and clumpiness (RFMC) for dynamic and static features, respectively, to comprehensively capture customer characteristics for buying behaviors. Our model with deep learning architectures combines these features for conversion prediction. We validate the proposed model using real-world e-commerce data. The experimental results reveal that our model outperforms unimodal classifiers with each feature and the classical machine learning models with dynamic and static features, including random forest and logistic regression. In this regard, this study sheds light on the promise of the machine learning approach with the complementary method for different modalities in predicting customer behaviors.

• 컴퓨터교육학회논문지
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• 제23권1호
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• pp.77-90
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• 2020

본 연구는 온라인 문제기반학습에서 학습자의 학습행태에 따른 학습유형을 파악하고 각 학습유형의 특징을 조사하여 효과적인 온라인 문제기반학습 설계를 위한 시사점을 도출하기 위해 수행되었다. 본 연구를 위해 6주 동안 K대학에서 운영된 문제기반학습 프로그램에 참여한 1,341명의 초·중학생의 온라인 활동 데이터가 수집되었고, 이를 통하여 학습자들의 학습행태를 나타내는 48개의 변인이 추출되었다. 추출된 변인은 학습자들의 학습유형을 구분하기 위한 계층적 군집분석 기법에 활용되었으며, 구분된 학습유형에 따라 학습행태와 학업성취도 측면에서 어떠한 차이가 있는지 비교·분석하였다. 그 결과, 학습자의 온라인 학습유형은 학습참여 수준에 따라 '고수준 학습참여형(군집 1)', '중수준 학습참여형(군집 2)', '저수준 학습참여형(군집 3)'으로 구분되었다. 또한, 학습참여 수준이 높은 군집이 높은 학업성취도를 얻은 것으로 확인되었다. 이러한 결과를 바탕으로 온라인 문제기반학습을 효과적으로 설계·운영하기 위한 시사점을 제시하였다.