• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.489-496
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• 2009

In this study, we designed and developed new Blog community for the improvement of Self-directed learning competency. We analyzed the effect through series of tests on Self-directed learning competency to obtain the following results. As a result of inspecting the same quality of Self-directed learning competency, this study shows the learning in utilizing weblog suggested that it has more significant difference in improving Self-directed competency than utilizing the normal homepage for learning. Moreover, according to the inspection of low measurement, motivation control and acting control made a significant difference, but the cognitive area has no significance. In conclusion, the proper learning and operation in the class in utilizing Blog community suggested that through the study of Self-directed learning competency is the best because it affects the learner's motivation and behavior.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.813-824
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• 2021

To improve educational performance by analyzing the learning trends of adult learners of Open High Schools, various algorithm models using artificial intelligence were designed and performance was evaluated by applying them to real data. We analyzed Log data of 115 adult learners in the cyber education system of Open High Schools. Most adult learners of Open High Schools learned more than recommended learning time, but at the end of the semester, the actual learning time was significantly reduced compared to the recommended learning time. In the second half of learning, the participation rate of VODs, formation assessments, and learning activities also decreased. Therefore, in order to improve educational performance, learning time should be supported to continue in the second half. In the latter half, we developed an artificial intelligence algorithm models using Tensorflow to predict learning time by data they started taking the course. As a result, when using CNN(Convolutional Neural Network) model to predict single or multiple outputs, the mean-absolute-error is lowest compared to other models.

• Journal of The Korean Association For Science Education
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• v.29 no.4
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• pp.373-387
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• 2009

The purpose of the study was to investigate the roles of parents in science learning at the Everyday Science Classroom (ESC). Discourses of 20 parent-child dyads were analyzed to identify the roles of the parents and their significance. Data were also gathered through questionnaires that were made to survey the perception of parents and students of the Everyday Science Classroom (ESC) in Gwanak-gu. The results showed that parents played the role of Guide as well as Learner. Parents as the Guide showed roles of Process guide, Cognitive facilitator, Participation inducer, and Authoritative manager. Parents helped their children to accomplish the experiment successfully (34.5%) and offered cognitive scaffolds (21.3%) and affective scaffolds (8.7%) for children to reach a level of understanding that they could not reach by themselves. However, parents who helped their own children without considering their needs repressed children's autonomous learning (1.6%). The roles of parents as the Learner were categorized into Active learner (16.1%), Collaborative fellow learner (15.1%), and Authoritative leading learner (2.7%). The multiple roles of parents can influence the children's understanding of science in both positive and negative ways. This study can provide basic information on the roles of parents and their interaction with their children. Reflection on positive aspects of parent participation in program development will promote the understanding of science in both parents and children.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.2
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• pp.53-61
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• 2018

Flow is an optimal psychological state that people experience when engaged in an activity that is both appropriately challenging to one's skill level, often resulting in immersion and concentrated focus on a task. Through the study model, we found that Flow can result in deep learning and high levels of learning performance.

• Journal of Digital Contents Society
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• v.10 no.2
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• pp.269-278
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• 2009

This study was conducted to provide standards for the development of contents and systems for digital textbooks by examining the learners' satisfaction from digital textbooks, which are now being distributed to schools, in terms of ubiquitous learning, and by verifying the moderation effect of learners' computer self efficacy and digital textbook usage. SPSS win 13.0 was used for technical statistics, Cronbach's $\alpha$ coefficient calculation and correlation analysis for empirical analysis, and the MMR (moderated multiple regression) analysis was conducted for the hypothesis test. The following principal results were obtained from the hypothesis tests. First, the ubiquitous learning features had direct effects on the learning satisfaction from the digital textbooks. Second, when the ubiquitous learning features had positive effects on the learning satisfaction from digital textbooks, both the computer self efficacy and digital textbook usage reacted with the ubiquitous learning feature and showed moderation effects. These results were statistically significant.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.597-606
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• 2020

Recently, as students' programming classes are being conducted online, interest in factors that can lead to the success of online programming classes is also increasing. Therefore, in this study, online programming classes were conducted for specialized high school students using a web-based simulation programming tool through TinkerCad. In these online programming classes, students' self-regulation ability and learning flow were set as variables that influence both learning engagement and teaching presence, and the predictive power of each was analyzed. As a result, it was found that both self-regulation ability and learning flow were predictive variables for learning engagement and teaching presence, and that learning flow played a mediating role between self-regulation ability, learning engagement, and teaching presence. This study is meaningful in that it suggested that self-regulation ability and learning flow should be considered more meaningfully in online programming classes, and a practical strategy for this is presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.367-368
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• 2010

온라인 기반의 교육 시스템이 다양한 시행착오를 거쳐 많은 발전을 이루고 있다. 기존의 오프라인 교육 시스템의 교육 효과를 높이기 위한 온라인 교육 시스템은 그 보조적 수단에서 독자적인 교육 시스템으로의 발전 양상을 보이고 있다. 본 논문에서는 교육 시스템 개발자와 사용자 간의 상호작용 유형 가운데 문의형 상호작용을 기반으로 자가 조절 학습 효과를 높였던 이전 연구에서 발생 할 수 있는 사용자 부담률을 낮추기 위해 전문가 인터럽트 방식을 도입하여 개선된 자가 조절 문의형 교육 시스템을 제안한다.

• Journal of The Korean Association of Information Education
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• v.16 no.1
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• pp.33-40
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• 2012

The purpose of this study is to find the relationship of academic self-efficacy, motivation, computer learning attitudes on the learning through game making activity. Through this study, it was confirmed structural relationship of the variables for learner's participant and academic goal achievement in learning with digital games. The structural equating model in this study, also indicates that academic self-efficacy, which was consisting of assignment level, self-efficacy, confidence affects meaningfully on motivation and computer learning attitudes. It is important factor that Learner's attitudes for the task and regulate of learning process in learning with digital games, which was focused on learning by doing.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.56-56
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• 1996

인간의 사고 기능과 학습기능이 '뇌'를 바탕으로 이루어진다고 할 때, 뇌의 긴장을 풀어 원래의 건강하고 창조적인 이완 상태에서의 학습 상태가 유효하게 된다. 즉, 뇌파가 " $\alpha$" 상태 가 되었을 때 긴장된 신체의 각 부분이 충분히 이완되고 두뇌는 맑고 건강한 상태를 유지하여 활발하고 창조적인 상태가 된다. 뇌파의 측정 및 분석된 기존 연구에 의하면, 인간의 심리상태와 신체 상태, 행동 패턴에도 직, 간접적인 영향을 주어 뇌파의 조절이 인간 잠재능력 개발의 첩경이라는 결과가 보고되어진다. 이러한 관점에서 본 연구에서는 뇌의 특성을 고려하여 뇌를 이완시킴으로써 학생들의 학습능력을 향상시키 기 위한 새로운 접근 방법을 시도한다. 뇌파 조절이 가해지는 환경하에 학습 효율의 변화 정도를 정성적( 심리적, 학습적, 신체적) 및 정량적(영어 단어 암기력 TEST, 뇌파 특정 등)으로 평가 및 분석을 통해 뇌파 조절 효과가 학생들의 학습 효율을 더욱 향상 시킬 수 있는 지의 타당성을 검증하고 그 결과를 바탕으로 새로운 학습 방법을 모색하고자 한다. 한편, 본 연구에서는 실험 대상을 본 대학 임의의 2학년 학생 13 명 을 대상으로 하고 실험기간은 약 4개월에 걸쳐 실험 하였다. 뇌파 측정은 13명중 임의의 학생 7명을 선정 하여 각 40분씩 측정 분석하였다. 또한 영어 단어 암기력 TEST를 실시하여 그 결과를 뇌파 조절 전,후로 나누어 비교 분석하였다. 정성적 분석으로서 종합 설문지를 이용한 15 개 항목의 5점 척도를 사용하여 분석하였으며 가가 통계 이론을 이용하여 검증하였다. 뇌파 측정은 수행 전후 비교 결과 " .alpha. " 노출 비율이 수행 전보다 수행 후가 다소 높은 비유로 나타났으며, 특히 영어 단어 암기력은 평균적으로 크게 상승되는 것으로 나타났다. 정성적 분석 결과에서는 많은 심리적 변화 상태가 나타나고 있지만 전체적으로 마음의 안정감, 몸의 긴장 이완에 따른 건강 상태 유지, 수업 집중도 향상 등이 나타났다. 위와 같은 종합 적 분석 결과에 따라, 본 연구는 제조 현장의 생산성 향상 및 품질 향상과 연계하여 작업자의 작업 집중도 향상, 작업자의 육체적, 심리적 변화에 따른 생산성 및 품질 향상 변화 정도 등의 산업공학(인간공학) 제 분야의 여러 측면에서 연구 및 적용이 가능하리라 사료된다.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.319-329
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• 2017

This study is on the effects of lifelong education participative motivation, self-efficacy, and self-directed learning on subjective happiness of middle age adults. Middle age adults 40-64 years old are questionnaire survey target in Incheon and Gyeonggido and total 289 copies among 300 were analyzed through SPSS 21.0. The major findings of this study con be seen as follows: The variables more affected on educational satisfaction of middle age adults are goal-oriented motivation and activity-oriented motivation in lifelong education participative motivation, self-regulated efficacy in self-efficacy, and each personality, recognition and environment in self-directed learning. In conclusion, new paradigm is needed for middle age adults in lifelong learning society. This program should provide them with knowledge and information for adapting the future society, Furthermore, middle age adults can achieve their own self exploration, self-development and self-realization through the lifelong education program. Given a chance of lifelong education, middle age adults should be provided with the specific programs.