• Industry Promotion Research
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• v.8 no.4
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• pp.163-176
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• 2023

Through a literature review, this study examined the concept of slow learners and the lifelong learning characteristics of slow learners, and sought ways to achieve successful lifelong learning by utilizing grit and growth mindset among non-cognitive characteristics. Slow learners were experiencing difficulties in cognitive, academic, linguistic, social and emotional, and behavioral characteristics. For successful lifelong learning of slow learners, it was necessary to set long-term goals rather than short-term goals and to maintain effort and consistency of interest to achieve the goals. In addition, it was confirmed that in order to achieve long-term goals, it is necessary to believe that change can be achieved through effort and learning. In other words, the need for learning using grit and growth mindset was confirmed. Based on these previous research results, it was presented as a lifelong learning strategy for slow learners that applied grit and growth mindset, which are non-cognitive characteristics, rather than cognitive characteristics such as intelligence.

• Journal of the Korean Institute of Educational Facilities
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• v.5 no.1
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• pp.18-32
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• 1998

This study is the consideration of related characteristics between infants of the kindergarten and the lower level children of the elementary school. The characteristics of infant's growth show the homogeneous and successive peculiarity in the aspects of physical, intellectual, emotional, language learning and social development and the characteristics of moulding expression show similarity in developmental stage. So, It is proper that the mini-school for the lower level students of kindergarten and elementary school could be built as the branch unit of neighbourhood.

• Korean Journal of Human Ecology
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• v.19 no.5
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• pp.835-844
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• 2010

This study used meta-analysis to compare analyze data regarding the effects of music therapy on children and adolescent. The study examined 96 ESs using means and standard deviations from 77 Korean degree dissertations conducted between2000 and 2010. Results were as follows: The overall effect size (ES) of the therapy program was found to be 0.14, which, according to Cohen's ES interpretation criteria, is small. The mean ES was influenced by the subjects (children/ adolescents), ES of children(0.50) was bigger than ES of adolescents(-0.23). When results were sorted by the variables of therapy part: social, emotional and behavior development), the ES of social development was the biggest (1.11), followed by behavior development (-1.07) and emotional development (-0.01). However, other variables (total number of procedures, number of treatments per week, the average treatment time, therapist characteristics) made no statistically significant differences to the efficacy of the therapy. Finally, limitations of this study and potential future research are discussed.

• Journal of Christian Education in Korea
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• v.70
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• pp.303-337
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• 2022

The purpose of this study is to realize Ontact PBL that can sufficiently contain interactive elements that can increase the perception of reality between professors and students in an environment without human contact. This is a class designed, developed, and operated ontact PBL for the first semester of 2021. As a result of diagnosing the realism of teaching and learning for students who took the class, the average teaching realism improved significantly by 0.95. This was found to be effective in improving the sense of realism in teaching as there were many related opinions in the reflective journal on students' classes. In addition, there was an effect on learning presence, and it was confirmed that emotional presence, which is a sub-element of learning presence, significantly improved by 0.7, social presence by 0.5, and cognitive presence by 0.6. Learning presence also confirmed the students' reflection on the class, and it was possible to judge that Ontact PBL was effective in improving the sense of presence.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.57-63
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• 2022

The purpose of this study is to provide basic data on policy development using big data analysis and machine learning algorithms as part of preparing measures to prevent child abuse. In order to analyze big data for developing machine learning algorithms to prevent child abuse, frequency analysis, related word analysis, and emotional analysis were performed after defining academic databases and social network service data as big data. related words, and emotional analysis were conducted. As a result of the study, a preventive child abuse algorithm can be developed by preparing a data collection and sharing network system to prevent child abuse from the perspective of children affected by child abuse, perpetrators, and government authorities. Although it will be possible by institutionalizing infant self-esteem, depression, and anxiety tests with clues that depression and anxiety appear due to a decrease in self-concept in the characteristics of children affected by child abuse. We suggest that continuous progress of big data collection and analysis and algorithm development research to prevent child abuse, and expects that effective policies to prevent child abuse will be realized to eradicate child abuse crimes.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.11
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• pp.419-426
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• 2018

Due to the FMD(foot-and-mouth disease), the domestic animal husbandry and related industries suffer enormous damage every year. Although various academic researches related to FMD are ongoing, engineering studies on the social effects of FMD are very limited. In this study, we propose a systematic methodology to analyze emotional responses of regular citizens on FMD using text mining techniques. The proposed system first collects data related to FMD from the tweets posted on Twitter, and then performs a polarity classification process using a deep-learning technique. Second, keywords are extracted from the tweet using LDA, which is one of the typical techniques of topic modeling, and a keyword network is constructed from the extracted keywords. Finally, we analyze the various social effects of regular citizens on FMD through keyword network. As a case study, we performed the emotional analysis experiment of regular citizens about FMD from July 2010 to December 2011 in Korea.

• 대한공업교육학회지
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• v.40 no.2
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• pp.92-110
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• 2015

The purpose of this study is to provide necessary information to understand characteristics of vocational high school students and to enhance academic engagement through social support of teachers, leading to help research of teaching and learning strategy. A survey was conducted on 990 engineering major students attending 11 vocational high schools in Seoul metropolitan, Chungcheong, Jeolla, Kyeongsang and Kangwon regions. A questionnaire consists of measurement tools for the academic engagement (21 questions) and the social support of teachers (25 questions). The findings of this study are as follows: First, it is found that the level of students' academic engagement was high. But it appears that the students showed low engagement of emotion compared with that of behavior and cognition. There was no level difference according to gender, but there was a considerable difference according to a school year. The first year students' level of engagement was higher than the second and the third year students' in terms of cognition and emotion. Second, it shows that the level of the teachers' social support was normal, which was in the order of appraisal support, instrumental support, informational support, and emotional support. Especially, the level of appraisal support and instrumental support was most. Third, there were correlation and explanation between students' academic engagement and teachers' social support. Moreover, the result that teachers' emotional support has high correlation and explanation in qualitative terms of academic engagement support the importance. Therefore, it is concluded that the social support of teachers can make an positive influence on improving the academic engagement of students and provide students with adaptability and satisfaction with their school life, which may give students a positive effect in emotional development, self-formation, and complement.

• (The)Korea Educational Review
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• v.23 no.1
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• pp.231-260
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• 2017

The Fourth Industrial Revolution foreshadows radical changes in our lives. In the era of the fourth industrial revolution called the digital revolution, individualized learning based on ubiquitous learning is emphasized. The contents of learning will be centered on procedural knowledge rather than narrative knowledge, and fusion education in which boundaries between learning domains are broken down will be achieved. First of all, learners in the fourth industrial revolution era should have critical thinking and problem solving abilities. Metacognition based on self-control and cognitive flexibility is important for effective self-directed and active learning. Creativity-based collaborative activities, social vision skills, and social and emotional skills are also important competencies. Therefore, in order to provide individualized learning contents to learners in the fourth industrial revolution era, they should be transformed into learning paradigm based on personal characteristics such as learners' self-efficacy, interest, curiosity and creativity. In addition to this, evaluation forms should be diversified according to changing teaching and learning methods. In order to cultivate teachers to lead such educational innovation, it is necessary to reconsider the teaching capacity. Teachers should be able to construct creative lessons by skillfully exploiting technology in future learning environments. In addition to this, it should also have the ability to collaborate and cognitive flexibility to converge with other academic disciplines. Along with these discussions, we proposed the need for policy intervention along with changes in education.

• Cross-Cultural Studies
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• v.20
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• pp.29-66
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• 2010

This paper is a qualitative study of the experiences of Korean heritage language learners (KHLLs) with literacy (reading and writing), particularly before they enter the college-level heritage language classroom. Previous research, both qualitative and quantitative, has addressed the overall language background of KHLLs, including oral and aural proficiency and writing and reading ability, as well as demographic information (such as when the student immigrated to the United States) in relation to language test scores. This study addresses KHLL experiences in the following six areas as they relate to student perceptions and attitudes toward their own heritage language literacy: language proficiency, motivation for learning, academic preparedness, cultural connectedness, emotional factors, and social factors. Fourteen undergraduate students at a university in the western United States participated in a convenience sample by responding to a 10-question survey. Trends in responses indicated that KHLLs entered the classroom with high integrational motivation and experienced great satisfaction with perceived progress in literacy, but students also expressed regret for having missed childhood learning experiences that would likely have resulted in higher proficiency. These experiences include informal and formal instruction in the home and formal instruction outside of the home.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.17 no.2
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• pp.114-123
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• 2006

Objectives : The special class has been made, bringing rapid increase quantitatively. The authors carried out the child psychiatric interview and evaluation for 9 special-classed children in Asan city to find out clinical diagnosis and emotional/behavioral characteristics. Methods : The child psychiatrists evaluated special class children by DSM-IV and K-SADS-PL. Tools for the evaluation were Child Behavior Checklist- Korean version, Korean Personality Inventory for Children, Children's Depression Inventory, Abbreviated Conners Parent-Teacher Rating Scale-Revised, State-Trait Anxiety Inventory for Children, Vineland Social Maturity Scale, Wechsler Intelligence Scale for Children-III, and Childhood Autism Rating Scale. Results : Ultimately 53 children, consisting of 35 boys(67.9%) and 18 girls(32.1%), participated, and the average age was $10.5{\pm}1.3$ years old. Their measure of Vineland Social Maturity Scale was $78.7{\pm}20.0$, Childhood Autism Rating Scales was $25.4{\pm}9.0$, Child Depression Inventory was $22.2{\pm}5.2$, State-Trait Anxiety Inventory for Children was $35.2{\pm}8.2/36.5{\pm}6.2$, and Abbreviated Conners Parent-Teacher Rating Scale was $11.0{\pm}4.6$. In the clinical diagnosis evaluation, the prevalence rate of learning disorder was decreased compared to early research, ADHD had been newly appeared and depression disorder and anxiety disorder had been increased. Conclusion : This result suggests that a lot of children in a special class have complex emotional and behavioral problems in addition to educational problems.