• Journal of Korean Elementary Science Education
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• v.39 no.2
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• pp.255-267
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• 2020

Students' engagement is important for meaningful learning and it has multifaceted aspects for their science learning. This study investigated elementary students' perceptions of science learning engagement. The subjects of this study were 341 4^th to 6^th elementary students. The survey questionnaires were 5-Likert scale questions and free response questions on science learning engagement. The results showed that elementary students' perceptions of behavioral engagement were higher than emotional and cognitive engagement. Keyword network analysis with NetMiner program showed that the frequent key words of science learning engagement were 'experiment', 'listening', and 'teachers' explanation', which were mostly the behavioral types of engagement. The degree centrality and eigenvector centrality of these key words appeared high. 'Interest', which is emotional engagement, were also one of the frequent key words, but the centralities of this word were relatively low. The Frequent key words of science learning disengagement were mostly related with off-tasks, not doing expected behaviors and negative emotions about science and science learning. Educational implications on science learning engagement were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1396-1403
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• 2014

This study aimed to investigate the effectiveness of Hope program, which were consisted in specific knowledge base, motivation, creativity to contribute development of creativity, problem-solving, learning motivation and learning behavior of college students. A total of 49 subjects were selected and took lessons of 14 hours from August 26 to September 13 over three weeks. Those were used for pre and post test to creativity test, problem-solving test, learning motivation test and learning behavior test(Lee, 2009). Because two groups didn't have homogeneity, ANCOVA test were used to verify the difference. The results of ANCOVA on the total scores of creativity, problem-solving, learning motivation and learning behaviors showed that there are statistically significant mean differences between the experiment group and the control group(p<.05).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.2799-2823
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• 2019

With the help of learning analytics, MOOCs have wider potential to succeed in learning through promoting self-regulated learning (SRL). The current study aims to apply and validate visualization design guidelines for a MOOC dashboard to enhance such SRL capabilities based on learning analytics. To achieve the research objective, a MOOC dashboard prototype, LM-Dashboard, was designed and developed, reflecting the visualization design guidelines to promote SRL. Then, both expert and learner participants evaluated LM-Dashboard through iterations to validate the visualization design guidelines and perceived SRL effectiveness. The results of expert and learner evaluations indicated that most of the visualization design guidelines on LM-Dashboard were valid and some perceived SRL aspects such as monitoring a student's learning progress and assessing their achievements with time management were beneficial. However, some features on LM-Dashboard should be improved to enhance SRL aspects related to achieving their learning goals with persistence. The findings suggest that it is necessary to offer appropriate feedback or tips as well as to visualize learner behaviors and activities in an intuitive and efficient way for the successful cycle of SRL. Consequently, this study contributes to establishing a basis for the visual design of a MOOC dashboard for optimizing each learner's SRL.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2834-2836
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• 2000

This paper introduces the behavior-based learning controller for mobile robot using topological map. When the mobile robot navigates to the goal position, it utilizes given information of topological map and its location. Under navigating in unknown environment, the robot classifies its situation using ultrasonic sensor data, and calculates each motor schema multiplied by respective gain for all behaviors, and then takes an action according to the vector sum of all the motor schemas. After an action, the information of the robot's location in given topological map is incorporated to the learning module to adapt the weights of the neural network for gain learning. As a result of simulation, the robot navigates to the goal position successfully after iterative gain learning with topological information.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.485-486
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• 2019

Simulated driving behavior is an important aspect of realistic simulation systems. To simulate natural driving behavior, this paper proposes an imitation learning method based on active learning that combines demonstration and experience. Driving demonstrations are collected from human drivers in a driving simulator. A driving behavior policy is learned from these demonstrations. The driving demonstration dataset is augmented with new demonstrations that the original demonstrations did not contain, in the form of behaviors from another driving behavior policy learned from experience. The final driving behavior policy is learned from an augmented demonstration dataset.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.489-497
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• 2016

This study focused on the focus group interview based on the questionnaire. Prior to the interview, we used questionnaires from the previous researchers in order to select the questionnaires and interviews of the focus group. In order to measure the possibility, which is the expression characteristic of the safety education app, the items related to cognitive, sensual, physical, and safety behaviors were used as constituent factors. And the safety education app to analyze was selected 'Water Go GO!' App developed by the National Emergency Management Agency. The results of this study are as follows: First, the learner should help to participate in learning continuously in order to make meaningful learning activities in safety education app learning environment. Second, learners must interact with mobile devices in their apps to facilitate learning while reducing the number of factors that can interfere with learners' learning. This study is meaningful in that it can utilize this design principle as a guideline for enhancing safety behaviors.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.1-27
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• 2023

The semiconductor industry is a competitive, complicated and a cyclical sector with a highly dynamic business climate which requires an effective leadership style to operate and succeed. This study explores the important issue of how leadership facilitates employee innovative work behaviors in the semiconductor industry. Based on the assumptions of the ambidextrous leadership theory and social exchange theory, we collected data from 300 workers employed in the semiconductor industry of South Korea. The study investigated (1) the impact of ambidextrous leadership on innovative work behavior, (2) the mediating effects of workers decision-making autonomy and workplace learning in the relationship between ambidextrous leadership and innovative work behavior, (3) the moderating role of resistance to change in the relationship between ambidextrous leadership and workplace learning, and (4) the moderating role of openness to experience in the relationship between ambidextrous leadership and innovative work behavior. SmartPLS 4 and SPSS v24 was used to analyze our data. The study revealed that ambidextrous leadership positively influences workers innovative work behavior. In addition, decision-making autonomy and workplace learning partially mediated the relationship between ambidextrous leadership and innovative work behavior. Moreover, resistance to change was found to be a significant moderator in the relationship between ambidextrous leadership and workplace learning. Based on these findings, we conclude that ambidextrous leadership is very imperative for semiconductor businesses seeking to foster employee innovative work behaviors. Theoretical and practical implications of the study are also discussed.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.389-400
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• 2023

Technological advancements in the field of information and communication have led to the advent and usage of various types of smart devices, which have significantly altered people's usage behaviors and environments. This change has also been applied to the learning environment, where various smart devices are appearing and the learning behavior of learners is changing accordingly. In this study, we investigate learners' perceptions of digital note-taking behaviors focusing on the recently emerged learning media, tablet PCs and digital pens. Drawing upon the expectancy-confirmation model, we conduct a study on the factors affecting the (dis)confirmation and (dis)satisfaction of undergraduate students with tablet PCs and digital pens by comparing their expectations with their actual use experiences. An open-ended survey was conducted among students at C University in Korea, and the responses were analyzed through qualitative content analysis to derive four factors of expectation-confirmation and satisfaction and three factors of expectation-disconfirmation and dissatisfaction. Based on these findings, we provide academic and educational implications.

• Research in Community and Public Health Nursing
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• v.32 no.3
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• pp.404-414
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• 2021

Purpose: Health behaviors for metabolic syndrome (MetS) prevention should be emphasized from early adulthood. There is little information on psychosocial factors associated with health behaviors for MetS prevention. The aim of this study was to determine whether there would be a mediating effect of perceived stress on the association between social support and health behaviors for MetS prevention among university students. Methods: This cross-sectional and correlation study was conducted with 502 university students in South Korea. Social support, perceived stress, and lifestyle evaluation for metabolic syndrome scales were used. Online questionnaire survey was conducted between November and December 2019. The mediating effect of social support on health behaviors for MetS prevention was analyzed using PROCESS macro program with bootstrapping method to test our hypotheses. Results: Social support directly influenced perceived stress (β=-.35, p<.001) and health behaviors for MetS prevention (β=.14, p=.002). Health behaviors for MetS prevention was indirectly influenced by perceived stress (β=-.25, p<.001). The size of indirect effect of social support on health behaviors for MetS prevention was 0.06. Conclusions: The association of social support and health behaviors for MetS prevention was partially mediated by perceived stress among university students. Therefore, a university-based nursing intervention should comprise social support strategies with stress management to promote health behaviors for MetS prevention.

• Journal of the Korean Home Economics Association
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• v.24 no.3
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• pp.19-29
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• 1986

Teenagers were apt to be influenced by their teachers in every respect and were greatly affected by the clothing behaviours of teachers to whom they paid their respect. From this point, this study was aimed at explaining of the mutual relations between the teachers' clothing behaviors and the students' responses, in view of the fact that the teachers' clothing behaviors had a great influence on the students' characters and their will to study. Clothing behaviors were assessed with 15 items, selected from the instruments of preceding studies and modified by the factors dealing with modesty, fashion and clothing satisfaction. The questionaires were composed of two major categories; the first was about teachers' clothing behaviors and attitudes, and the second the interests in learning and school life. The subjects of this study included students in primary schools, middle schools and high schools located in the Incheon and Kimpo area, totaling 1,269 boys and girls. The data were analyzed statistically by t-test, F-test, χ\sup 2\-test, Duncan test, and regression analysis. RESULTS 1. The students' responses to the teachers' clothing behaviors were different according to grade years, sex and area. a) As to the differences in responses between grade years, the lower grade years showed higher interest in modesty and clothing satisfaction, while the higher grade years in fashion. However, they don't like the teachers to take the lead in fashion. b) As to the differences in responses between boys and girls, girls took much higher interest in modesty and fashion. In respect to clothing satisfaction, girls showed a little more interest, though there were no remarkable differences. c) As to the differences in responses between areas, the students in rural area showed higher interests in modesty. As to fashion and clothing satisfaction, the showed higher interests in modesty. As to fashion and clothing satisfaction, the students in urban areas had more interests in fashion, while the students in rural areas in clothing satisfaction, though there wee not remarkable difference. 2. In students' responses to the teachers' clothing behaviors dependent variables-modesty, fashion and satisfaction-can explain clothing behaviors to such an extent that modesty can be explained by 4.7% in the order of the grade years, sex and area, fashion by 13% in the grade years and sex, and satisfaction by 3% in the grade years respectively. 3. The students who were more interested in learning and school life were more satisfied with the teachers' clothing behaviors, made more of their modesty and cared less about their fashion.