• Journal of Korean Home Economics Education Association
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• v.14 no.3
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• pp.77-88
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• 2002

This study was designed to examine students' utility cognition and related variables on the ‘understanding of family and work’ in the Home Economics course. The subjects were 503 middle and high school students, and university students in Jeonju city. The results are as follows : 1) The level of utility cognition on the ‘attitude of sexuality’ was found to be relatively high in the Home Economics course. 2) There were gender difference in the evaluation of learning environment. and grade differences in the evaluation of learning environment, participation in class of Home Economics, needs for Home Economics, evaluation of learning environment. 3) The utility cognition of Home Economics course significantly differed by gender, participation in class of Home Economics. needs for Home Economics, evaluation of learning environment. and Perception of Home Economics. 4) The needs for Home Economics emerged as the most important variable in the utility cognition of Home Economics course.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1300-1304
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• 2003

The following paper deals with a control problem of a mobile robot in home network environment. The home network causes the mobile robot to communicate with sensors to get the sensor measurements and to be adapted to the environment changes. To get the improved performance of control of a mobile robot in spite of the change in home network environment, we use the fuzzy inference system with multiple reward reinforcement learning. The multiple reward reinforcement learning enables the mobile robot to consider the multiple control objectives and adapt itself to the change in home network environment. Multiple reward fuzzy Q-learning method is proposed for the multiple reward reinforcement learning. Multiple Q-values are considered and max-min optimization is applied to get the improved fuzzy rule. To show the effectiveness of the proposed method, some simulation results are given, which are performed in home network environment, i.e., LAN, wireless LAN, etc.

• Journal of the Korean Home Economics Association
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• v.40 no.7
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• pp.69-82
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• 2002

The objective of this study was to develop a Web based learning environment for Home Economics Education(HEE) using ICT (Information & Communication Technology). For the study, the following procedures were performed: 1) the review of literature, 2) development of teaming environment and questionnaires based on Web for HEE using ICT. The Web based learning environment was investigated and designed, and evaluated by the users. The problems indicated through the evaluation were revised and complemented. In addition, 13 sets of Learning questionnaires, which were verified using the same procedure as above, were developed to provide problem solving ability through the Web based learning environment. Learning environment based on the Web entitled "Together with the classroom of HEE" has a main menu, which is composed of rooms for HEE, students, teachers, various topics, recommendation sites, chatting, and e-mail. A room for HEE, in which teaming activity mainly occurs by following the sequences of learning procedures, includes other sub-rooms for the guidance of Loaming, discussion, directories for reference, question and answer, submission of homework, evaluation, and an encyclopedia. Therefore, this study implicates: 1) achievement of teaming environment using the ICT mainly made by students who solve problems closely related to daily life, 2) development of practical learning questionnaires fitted in the present state, 3) preparation for the curriculum. Finally, from this study, I suggested that further studies are needed to develop models for learning, interaction between students and teachers, and the learning materials under the Web based loaming environment.

• Korean Journal of Child Studies
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• v.36 no.6
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• pp.1-21
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• 2015

This study was aimed at examining the paths through which family socioeconomic status as indicated by family income and parental education influenced preschool-aged children's socioemotional and cognitive development through the mediating role of parental warmth and the home learning environment. The study made use of data from 1,080 families who participated in the 5th wave of the Panel Study on Korean Children, when their children were approximately 4 years of age. Structural equation modeling analysis revealed that the models, including both parental warmth and the home learning environment did not fit the data well. The effects of warmth on social competence and cognitive development were not statistically significant. The modified models, using the home learning environment as a mediator between family SES and child's developmental outcomes showed that higher level of family income and parental education predicted a more cognitively stimulating home environment, which in turn, predicted a child's greater levels of social competence and positive cognitive development. The social competence of preschool-aged children again significantly predicted their cognitive development. The mediating effects of the home learning environment were statistically supported.

• Korean Journal of Child Studies
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• v.4
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• pp.1-10
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• 1983

This study examined the characteristics of the relationship of home environment variables and preschool children's intelligence, learning readiness and socio-emotional developments. The subjects of this study were 63 children at age five and their mothers. Instruments included the children's intelligence test, preschool inventory for learning readiness, the socio-emtional rating scale and the inventory of HOME. The data of the present study were analyzed by the statistical methods of Pearson's product-moment correlation coefficient and step-wise multiple regression analysis. The kinds of HOME variables that significantly predict children's intelligence were "need gratification and avoidance of restriction" "quality of language environment" "play materials" "aspects of physical environment" "organization of stable and predictable environment". The variables that significantly predict children's socio-emotional developments were "breath of experience" "fostering maturity and independence" "developmental stimulation". All of the HOME variables were not significantly predict children's learning readiness. The kinds of HOME factors that significantly predict children's intelligence were factor II and factor III. Factor I predicted children's socio-emotional developments significantly. All of the HOME factors were not significantly predicted children's learning readiness.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.651-662
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• 2021

Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors. Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group. Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment. Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children's planning-organizing executive functions.

• Journal of Families and Better Life
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• v.27 no.6
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• pp.21-29
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• 2009

This study investigated the effects of three factors-mothers' parenting beliefs; child care-home involvement; and the home learning environment - on the school readiness of 3- to 5-year-olds. The subjects were 366 children who were enrolled in child care centers located in Seoul and the Kyoungki area, and their mothers. The Structural Equation Modeling (SEM) technique was employed to test the pathways to children's school readiness as indicated by the child's abilities in vocabulary, math and reading. The results showed that mothers' stronger beliefs in their responsibilities in their children's academic and behavioral development predicted greater involvement in child care and better quality in the home learning environment. Likewise, the quality of the learning environment predicted the extent of the child's readiness for school. No direct relation was found between child care involvement and the child's school readiness. The results imply that multiple factors - parental, child-care-related, and home environmental- explain the extent to which the child is prepared to adjust to scholastic life.

• Journal of the Korean Home Economics Association
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• v.48 no.1
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• pp.15-26
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• 2010

The purpose of this study was to investigate the relationships between mothers' parenting efficacy and parenting behaviors, home environment, and preschool children's learning behaviors. The participants consisted of 244 preschool children and their mothers in Seoul and GyeongGi-Do. The children's teachers rated the learning behaviors of each child whose mother returned our questionnaire. The collected data were subjected to general descriptive statistical analysis, t-test, one-way ANOVA, and Pearson's productive correlation. Results showed that learning behaviors of preschool children were affected by their sex, age, and mother's education. In addition, there were negative relationships between mothers' parenting efficacy, parenting behaviors, and learning behaviors of preschool children.

• (The)Korea Educational Review
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• v.22 no.2
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• pp.133-156
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• 2016

The purpose of this study was to examine the effects of emotion, home environment, school environment on self-regulated learning, focusing on motivational and behavioral regulation. Participants are 2070 students from 95 middle schools of Korean Children and Youth Panel Study(KCYPS). The variables of emotions, home environment, school environment and motivational regulation, behavioral regulation were analyzed using correlation analysis and multiple regression. The results were as follows. First, emotion, home environment, school environment were correlated with on motivational and behavioral regulation. Second, emotion explained motivational regulation and behavioral regulation of self-regulated learning as well as home envionment and school environment. All subvariables of emotion were significantly related to behavior control. Third, among subvariables of home environment, parents education and occupations, and annual household income were not significantly related to motivational regulation and behavioral regulation. However, home economic level perceived by students and parents' interest and abuse on students had great effects. Forth, school environment has a greater explanatory effect on motivational regulation and behavioral regulation. Particularly, friendships and relationships with teachers during learning activities had a significant effect. These results showed that emotion and psychological environment of learning environment are important variables affecting on self-regulated learning and suggests the need for researches on these variables.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1072-1075
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• 2005

This paper presents that TD method is applied to the human adaptive devices for smart home with context awareness (or recognition) technique. For smart home, the very important problem is how the appliances (or devices) can adapt to user. Since there are many humans to manage home appliances (or devices), managing the appliances automatically is difficult. Moreover, making the users be satisfied by the automatically managed devices is much more difficult. In order to do so, we can use several methods, fuzzy controller, neural network, reinforcement learning, etc. Though the some methods could be used, in this case (in dynamic environment), reinforcement learning is appropriate. Among some reinforcement learning methods, we select the Temporal Difference learning method as a core algorithm for adapting the devices to user. Since this paper assumes the environment is a smart home, we simply explained about the context awareness. Also, we treated with the TD method briefly and implement an example by VC++. Thereafter, we dealt with how the devices can be applied to this problem.