• Journal of Gifted/Talented Education
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• v.23 no.5
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• pp.697-713
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• 2013

The research aimed to investigate characteristics of middle school students enrolled in a science gifted education center affiliated with university in terms of multiple intelligence, self-regulated learning and personality traits. The 89 subjects in the study responded to questionnaires of multiple intelligence, self-regulated learning ability and a personality trait in October, 2011. It was found that both science and math gifted students presented intrapersonal intelligence as strength and logical-mathematical intelligence as weakness. While physics and earth science gifted ones showed spatial intelligence as strength, chemistry and biology gifted ones did intrapersonal intelligence. For self-regulated learning ability, both science and mathematics gifted students tend to show higher levels than general students, in particular, cognitive and motivation strategies comparatively higher than meta-cognition and environment condition strategies. Characteristics of personal traits widely distributed across science and mathematics gifted students, showing that each gifted student presented distinct characteristics individually. Those gifted students showing certain intelligence such as spatial, intrapersonal, or natural intelligences as strength also showed different characteristics of self-regulated learning ability and personal traits among students showing same intelligence as strength. It was concluded that science and mathematics gifted students showed various characteristics of multiple intelligences, self-regulated learning ability, and personal traits across science and mathematics areas.

• 한국정보교육학회:학술대회논문집
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• 2008.01a
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• pp.181-186
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• 2008

휴대폰이나 PDA와 같은 모바일 기기의 확산과 더불어 모바일 통신 환경을 기반으로 하는 모바일 교육 학습 모델이 교육의 질향상 및 교육 효과의 극대화를 꾀할 것으로 기대되는 실정이다. 또한 모바일 환경에서 학습자가 지속적이고 자기 주도적으로 학습을 하기 위해서 자기조절학전략이 필요하며, 이를 위해 모바일 학습환경에 적합한 MMIS(Motivation Metacognitive practice Interaction. Self-reflection: 자기 주도학습전략)모형을 설계하도록 하였다. 특히 학습자의 지속적인 흥미와 동기부여를 위해 에튜테인먼트(edutainment)전략을 활용하여 모바일 게임에 익숙한 학습자의 특성에 맞는 모형으로 설계하였다. 본 논문에서 설계한 MMIS 모형의 특징은 다음과 같다. 첫째, 학습자가 스스로 학습 전략을 계획하고 통제할 수 있도록 게임의 난이도를 스스로 결정할 수 있다. 둘째, 학습자가 게임활동을 스스로 계획하고, 게임 결과를 모니터링 할 수 있다. 셋째, 사전에 게임에 필요한 학습 내용을 제공받음으로써 게임에서 좋은 결과를 얻기 위한 노력을 할 수 있도록 하였다. 넷째, 게임을 할 때 해결하기 어려운 과제의 경우에는 교사나 게임에서 제공되는 힌트를 통해 스스로 필요한 도움을 찾아낼 수 있다.

• Journal of The Korean Association For Science Education
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• v.26 no.1
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• pp.1-8
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• 2006

This study investigated the causal relationships between high school student multiple-choice algorithmic chemistry problem solving and 1) the motivational variables of achievement goal (task goal/performance goal/performance-avoidance) and perceived ability, and 2) the cognitive variables of learning strategy (deep learning/surface learning) and self-regulation. Path analysis supported a causal model in which perceived ability and task goal were found to positively influence algorithmic chemistry problem-solving ability via self-regulation. In particular it was found that perceived ability directly influenced algorithmic chemistry problem-solving ability. Moreover, deep learning was found to have been influenced by perceived ability and task goal, while surface learning was influenced by performance-avoidance goal. Lastly, there did not appear to be any causal relationship between learning strategy and algorithmic chemistry problem-solving ability.

• Korean Journal of Health Psychology
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• v.15 no.3
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• pp.483-498
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• 2010

This study is to examine the effects of emotion regulation strategies in facial expressions and emotional experiences, based on the facial expressions of groups, using antecedent- and response- focused regulation. 50 female undergraduate students were instructed to use different emotion regulation strategies during the viewing of a disgust inducing film. While watching, their facial expressions and emotional experiences were measured. As a result, participants showed the highest frequency of action units related to disgust in the EG(expression group), and they reported in the following order of DG(expressive dissonance group), CG(cognitive reappraisal group), and SG(expressive suppression group). Also, the upper region of the face reflected real emotions. In this region, the frequency of action units related to disgust were lower in the CG than in the EG or DG. The results of the PANAS indicated the largest decrease of positive emotions reported in the DG, but an increase of positive emotions reported in the CG. This study suggests that cognitive reappraisal to an event is a more functional emotion regulation strategy compared to other strategies related to facial expression and emotional experience that affect emotion regulation strategies.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.19-28
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• 2005

A web-based instructor-learner system has changed the form into a learner-centered environment. Especially a self-regulated learning which is a self-leading and a positive learning, is an ideal learning, and the interest on it is more increasing. In this research, learners can organize the individualized course based on the learner's demand and learning level after making a contract process with the system, The self-regulated learning system which can recognize a learning status and result by analyzed data, and which can lead to a learning goal effectively by establishing a learning strategy, is designed and implemented. The proposed system provides the learner-centered learning environment which can process the differentiated and flexible individualized-teaming service considering an individual characteristic.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1268-1284
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• 2020

The purpose of this study was to examine mediating effect of emotional intelligence on relationship between nursing students' learning engagement and academic resilience, find whether self-regulation would moderating the relationship between learning engagement and emotional intelligence. The data were collected from 277 nursing students from three colleges in J province and were analyzed with a regression analysis and bootstrapping. As a result of the study, first, the fit of the causal model between learning engagement, emotional intelligence, academic resilience and self-regulation of nursing students was found to be good, and the causal relationship between variables was predicted appropriately. Second, partially mediating effect of emotional intelligence on the path of nursing students' learning engagement affecting academic resilience. Third, self-regulation had moderating effect on learning engagement affecting emotional intelligence. Finally, the significance of this study is that the influence of various variables that can affect the academic resilience of nursing college students was verified, and in order to improve academic resilience, a strategy that considers the subjects' learning engagement, emotional intelligence, and self-regulation.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.392-403
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• 2021

The purpose of this study was to examine the effect of emotion regulation strategy on posttraumatic growth and to confirm serial multiple mediating effects of self disclosure on a traumatic experience and social support in relationship between suppression strategy of emotional expression and posttraumatic growth. A survey was conducted for adults over the age of 18. Data of 663 adults (222 men, 441 women) were analyzed. According to analysis by using SPSS Process Macro, the less suppression strategy of emotional expression was used, the higher posttraumatic growth was. Simple mediating effect of self disclosure was confirmed between suppression strategy of emotional expression and posttraumatic growth. Serial multiple mediating effects of self disclosure and social support were shown in relationship between suppression strategy of emotional expression and posttraumatic growth. It means that the more people who use less suppression of emotional expression as their emotion regulation strategy, the more they disclose on their traumatic experience, then, they will receive emotional comfort and support from the people around, finally reaching posttraumatic growth. The importance of self disclosure and social support on posttraumatic growth was verified. Counseling intervention method was suggested for involuntary clients who usually suppress emotional expression, to enhance their posttraumatic growth. Lastly, significance and limitations of this study were suggested for follow-up studies.

• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.51-65
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• 2019

This study aims to provide educational implications for more strategic online software education by the types of online learning according to learners' self-regulated learning characteristics in the online software education environment and examining the characteristics of each type. For this, variables related to self-regulated learning characteristic were extracted from the log data of 809 students participating in the online software learning program of K University, and then analyzed using hierarchical cluster analysis. Based on hierarchical cluster analysis learner clusters according to the characteristics of self-regulated learning were derived and the differences between learners' learning characteristics and learning results according to cluster types were examined. As a result, the types of self-regulated learning of online software learners were classified as 'high level self-regulated learning type (group 1)', 'medium level self-regulated learning type (group 2)', and 'low level self-regulated learning type (group 3)'. The achievement level was found to be highest in 'high-level self-regulated learning type (group 1)' and 'low-level self-regulated learning type (group 3)' was the lowest. Based on these results, the implications for effective online software education were suggested.

• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.571-588
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• 2010

IPTV, a convergence service of broadcasting and communication, draws an attention as an educational media that provides various advantages including top quality of screen, easy access, and protection from harmful contents. In addition, a successful IPTV learning requires learners' active participations. Yet, the research on educational applications of IPTV is at the early stage focusing on teachers and developers' perspectives. Therefore, the present study conducted a survey on learners' current IPTV usage and intentions to use. Reflecting the results of the survey, we developed learner-centered IPTV learning scenarios based on self-regulated learning strategies and suggested its implementations.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.598-600
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• 2004

기존의 연구 논문 중 비결정론적인 알고리즘인 유전자 알고리즘이나 인공신경망 등을 오델로 게임에 적용하여 자동학습을 시킨 예는 많으나 면역알고리즘을 모델로 게임에 적용한 예는 찾기가 어렵다 본 논문에서는 생리학의 면역시스템의 특징을 그대로 적용한 면역알고리즘을 모델로 게임에 적용하여 게임전략 생성에 관하여 연구한다. 생리학의 면역시스템은 자기조절능력이 있다는 외과 재 감염시 빠르게 대응할 수 있다는 특징이 있다. 면역알고리즘을 이용하여 탐색된 전략을 유전자알고리즘 그리고 기존에 연구되어진 게임전략 등과 실험하여 그 결과를 비교.연구한 결과 면역알고리즘을 적용하여 탐색된 모델로 게임전략이 가장 높은 승률을 보인다.