• Journal of Korean Library and Information Science Society
• /
• v.52 no.2
• /
• pp.209-233
• /
• 2021

This study aims to obtain implications for educational information services for elementary school teachers by analyzing their information seeking behavior. The in-depth interview was carried out in-depth interviews with 11 elementary school teachers and it analyzed of the core roles and tasks of elementary school teachers, the required information and usage behavior of information sources. The study result showed that elementary school teachers perceived homeroom duties, teaching/learning activities, school duties, and other as their works and tasks, and the response to the importance of task performance was homeroom teacher, teaching-learning activities, school works, and other tasks. Also, elementary school teachers needed information in order of teaching-learning activities, homeroom teacher, school works and they used various information sources including web, interpersonal sources and book. Moreover, this study observed some factors that elementary school teacher mainly used web information source which other elementary school teacher developed and that they got teaching-learning materials from fellow teachers. Based on these findings, the author proposed teacher librarian share library based instruction materia in web resource, provide cooperative educational information service through learning community, and provide homeroom work material for elementary school teachers.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.5 no.6
• /
• pp.317-325
• /
• 2015

The aim of this research was to investigate the relationship among team learning behavior, individual creativity, team shared mental model(TSMM), mutual performance monitoring on team creativity and then providing the fundamental data on the education. Also it intended to acknowledge relative predictive power on team creativity of independent variables. The total of 257 college students participated the team learning for 6 weeks in a semester. Pearson's product moment correlation and regression analysis were used for data analysis and testing of significance of verification, The main research results are summarized as follows; team learning behavior, TSMM, mutual performance monitoring had no significant effects on three subfactors of team creativity such as novelty, resolution, elaboration & synthesis. Therefore followed researches are needed about inter and intra processing of team creativity.

• Journal of Institute of Control, Robotics and Systems
• /
• v.18 no.5
• /
• pp.465-470
• /
• 2012

This paper proposes a distributed autonomous control method of swarm robot behavior strategy based on artificial immune system and an optimization strategy for artificial immune system. The behavior strategies of swarm robot in the system are depend on the task distribution in environment and we have to consider the dynamics of the system environment. In this paper, the behavior strategies divided into dispersion and aggregation. For applying to artificial immune system, an individual of swarm is regarded as a B-cell, each task distribution in environment as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows: When the environmental condition changes, the agent selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other agent using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. In order to decide more accurately select the behavior strategy, the optimized parameter learning procedure that is represented by stimulus function of antigen to antibody in artificial immune system is required. In this paper, particle swarm optimization algorithm is applied to this learning procedure. The proposed method shows more adaptive and robustness results than the existing system at the viewpoint that the swarm robots learning and adaptation degree associated with the changing of tasks.

• 한국HCI학회:학술대회논문집
• /
• 2006.02a
• /
• pp.519-525
• /
• 2006

Advances in information and telecommunication technology increasingly reveal the potential of computer supported education. However, most computer supported learning systems until recently did not pay much attention to different characteristics of individual learners. Intelligent learning environments adaptive to learner's preferences and tasks are desired. Each learner has different preferences and needs, so it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner's preferences are diagnosed using learner models, and then user interfaces are customized in an adaptive manner to accommodate the preferences. In this research, the learning user interfaces were designed based on a learning-style model by Felder & Silverman, so that different learner preferences are revealed through user interactions with the system. Then, a learning style modeling is done from learner behavior patterns using Decision Tree and Neural Network approaches. In this way, an intelligent learning system adaptive to learning styles can be built. Further research efforts are being made to accommodate various other kinds of learner characteristics such as emotion and motivation as well as learning mastery in providing adaptive learning support.

• Journal of the Korean Home Economics Association
• /
• v.42 no.12 s.202
• /
• pp.219-230
• /
• 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.

• The Journal of Korean Association of Computer Education
• /
• v.18 no.5
• /
• pp.35-44
• /
• 2015

The purpose of this study was to explore predicting the factors affecting knowledge sharing behavior in SNS based learning community. Besides, participative motivation, openness to diversity, and knowledge sharing intention were included as predictors for this study. In addition, this study investigated the mediating role of knowledge sharing intention between participative motivation, openness to diversity and knowledge sharing behavior. 81 people in SNS based learning community participated in this study. Data collected were analyzed by correlation analysis, regression analysis and Baron & Kenny's(1986) mediation analysis. Results from this study, knowledge sharing intention and activity-oriented motivation predicted knowledge sharing behavior. In addition, knowledge sharing intention mediated among activity-oriented motivation, openness to diversity and knowledge sharing behavior.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.9 no.11
• /
• pp.1133-1144
• /
• 2019

Recently, the amount of image on the Internet has rapidly increased, due to the advancement of smart devices and various approaches to effective image retrieval have been researched under these situation. Existing image retrieval methods simply detect the objects in a image and carry out image retrieval based on the label of each object. Therefore, the semantic gap occurs between the image desired by a user and the image obtained from the retrieval result. To reduce the semantic gap in image retrievals, we connect the module for multiple objects classification based on deep learning with the module for human behavior classification. And we combine the connected modules with a behavior ontology. That is to say, we propose an image retrieval system considering the relationship between objects by using the combination of deep learning and behavior ontology. We analyzed the experiment results using walking and running data to take into account dynamic behaviors in images. The proposed method can be extended to the study of automatic annotation generation of images that can improve the accuracy of image retrieval results.

• Korean Journal of Child Studies
• /
• v.20 no.1
• /
• pp.61-77
• /
• 1999

This study investigated characteristics of children's coping behaviors in the context of perceived controllability of stress in hassles with parent(s), friend-alienation, friend-conflict, and in learning situations. The subjects were 489 sixth grade children selected from seven elementary schools in Seoul. Statistical analysis was by ANOVA, Scheffe' test, and MANOVA. Major findings were that (1) Active, passive, aggressive, and avoidant coping differed by perceived controllability of stress in all 4 stress situations. The children who perceived a higher level of controllability were more active, and less passive, aggressive, and avoidant in coping with each hassle. (2) Perceived controllability was higher in learning related than in friend-conflict situations. Active, passive, and social support seeking coping behavior was higher in learning related stress situations than in friend-conflict situations. Avoidant coping behavior was lower in learning related than in friend-conflict situations.

• Knowledge Management Research
• /
• v.21 no.2
• /
• pp.159-176
• /
• 2020

According to the social learning theory, leader' organizational citizenship behavior (OCB) is a predisposing factor for follower' OCB, because they acknowledge and imitate leader as a desirable example of behaviors for organizational and individual success. We investigate social learning effect of leader OCB on follower OCB and examine the moderating role of political skill in the mediated relationship between leaders OCB and follower OCB (with followers' affective organizational commitment as the mediator). We find that follower's affective organizational commitment may mediate the relationship between leader OCB and follower OCB. Furthermore, we find that follower with high political skill may focus on the instrumental value of OCB. Political skill moderates the relationship between follower' affective organizational commitment and follower OCB. Data from 325 leader-follower dyads support the hypothesis. Theoretical and practical implications of these findings are also discussed.

• Journal of the Korean Society of Earth Science Education
• /
• v.3 no.3
• /
• pp.198-208
• /
• 2010

This work describes a preliminary investigation to a learning model based on cybernetics and radical constructivism. To achieve this purpose, main ideas of cybernetics, i.e., negative feedback, difference, self-regulation, equilibrium, and purpose-directed behavior was analysed under radical constructivism. Powers' model, which consists of hierarchically arranged negative feedback systems, is introduced into this work. This was based on the claim that living organisms behave to control perceptions. By adding the notion of scheme from the view of radical constructivism, a learning procedure, which consists of six steps, was suggested in this work.