• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.12 no.1
• /
• pp.125-137
• /
• 2001

We investigated the self-concept, subjective depression, and state-trait anxiety of the school boys with learning disabilities(abbr. LD, n=86) and compared them with normal boys(n=52) using Piers-Harris Self-Concept Inventory, Child Depression Inventory(abbr. CDI), and State-Trait Anxiety Inventory(abbr. STAI). With regard to Piers-Harris Self-Concept Inventory total scores, there was no significant difference between two groups, but normal boys showed higher scores in intellectual and school status, physical appearance, and happiness-satisfaction subscales than patients with LD. The male patients with LD showed significantly higher ratings in CDI total scores, and CDI subscales - ineffectiveness, anhedonia, negative self-esteem than normal children. The patients with LD reported significantly higher state anxiety, but not trait anxiety. Correlation analyses revealed that self-concept decreased over time, and depression-anxiety increased across grades in the patients with LD, but not in normal children. Especially, negative mood, anhedonia, negative self-esteem subscales of CDI, and state-trait anxiety showed significant positive correlation with grades. In both groups, CDI scores were inversely correlated with Piers-Harris Self-Concept and positively with State-Trait anxiety. In conclusion, self-concept problems which were related with school achievement and self-esteem were more abundant in the patients with LD than normal children, self-image problem, depression and anxiety increased across grades. According to regression analysis, age, behavior subscale, intellectual-school status, anxiety, popularity, happiness-satisfaction, CDI-ineffectiveness, interpersonal problem, negative self-esteem, and state anxiety could explain the self-concept in the patients with LD, not in normal children. So, the self-concept of the patients with LD were found to be related to the school achievement and stress when comparing with peers. In conclusion, elementary school boys with LD showed lower self-concept, higher depression and anxiety, and these differences increased across grades. Since the patients with LD have concomitant depression and anxiety disorders, it is important that comorbidity with emotional problems should be explored and managed properly.

• Journal of Industrial Convergence
• /
• v.19 no.3
• /
• pp.51-60
• /
• 2021

This study aims to do in-depth exploration of the meaning of learning village activists' work, focusing on job crafting. A qualitative case study was conducted through participant observation and in-depth interview from March 23, 2020 to March 05, 2021. As a result of the analysis, a task crafting showed 'task performance using one's own strengths and resources', 'executing additional tasks other than the specified tasks', and 'changes in work methods for efficient task performance'. In a cognitive crafting, 'recognition of the importance of work and sense of vocation', 'recognition of happiness and pleasure in work', and 'recognition of roles to expand work expertise' appeared. In a relation crafting, 'building a community of practical learning with colleagues', 'a mediator of the growth and change of village residents', and 'coexistence of conflict and cooperation with business associates' were shown. In conclusion, learning village activists were actively changing their work through the job crafting and this can be used as basic data to improve the satisfaction with their work. A follow-up study was proposed for activists in learning villages in other regions.

• Annual Conference on Human and Language Technology
• /
• 2017.10a
• /
• pp.116-121
• /
• 2017

cQA(Community-based Question Answering) 시스템은 온라인 커뮤니티를 통해 사용자들이 질문을 남기고 답변을 작성할 수 있도록 만들어진 시스템이다. 신규 질문이 인입되면, 기존에 축적된 cQA 저장소에서 해당 질문과 가장 유사한 질문을 검색하고, 그 질문에 대한 답변을 신규 질문에 대한 답변으로 대체할 수 있다. 하지만, 키워드 매칭을 사용하는 전통적인 검색 방식으로는 문장에 내재된 의미들을 이용할 수 없다는 한계가 있다. 이를 극복하기 위해서는 의미적으로 동일한 문장들로 학습이 되어야 하지만, 이러한 데이터를 대량으로 확보하기에는 어려움이 있다. 본 논문에서는 질문이 제목과 내용으로 분리되어 있는 대량의 cQA 셋에서, 질문 제목과 내용을 의미 벡터 공간으로 사상하고 두 벡터의 상대적 거리가 가깝게 되도록 학습함으로써 의사(pseudo) 유사 의미의 성질을 내재화 하였다. 또한, 질문 제목과 내용의 의미 벡터 표현(representation)을 위하여, semi-training word embedding과 CNN(Convolutional Neural Network)을 이용한 딥러닝 기법을 제안하였다. 유사 질문 검색 실험 결과, 제안 모델을 이용한 검색이 키워드 매칭 기반 검색보다 좋은 성능을 보였다.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.3
• /
• pp.189-201
• /
• 2011

In this paper, we design an ontology which provides interoperability by integrating typical metadata specifications and defines concepts and semantic relations between concepts that are used to describe metadata for learning objects in university courses. And we organize a hierarchical structured e-Learning system for efficient retrieval of learning objects on many local storages that use different specifications to describe metadata and propose a query processing method based on inferences. The proposed e-Learning system can provide more accurate and satisfactory retrieval service by using the designed ontology because both learning objects that be directly connected to user queries and deduced learning objects that be semantically connected to them are retrieved.

• Journal of The Korean Association of Information Education
• /
• v.13 no.4
• /
• pp.509-516
• /
• 2009

As the necessity of cyber education is being raised up recently, Cyber Home Learning System(CHLS) is increasingly adopted at all school levels ranging from elementary to high schools. The purposes of this study are to find out that how elementary social studies of CHLS influence on the academic performance and learning attitude of students and their satisfaction. Based on these suggestions on social studies of CHLS are proposed. To accomplish the purposes, comparisons were made between experimental group utilizing social studies of CHLS and control group of traditional class of 54 students(27 students each in experimental and control group) in 5th grade. The results are as follows. Utilizations in social studies of CHLS showed positive effects on academic performance and learning attitude, and students' satisfaction on social studies of CHLS were rather increased. Based on these findings, several suggestions are made. First, strategy to improve motivation and confidence for students to participate on social studies of CHLS are necessary. Second, thinking and problem-solving activities needs to be integrated to social studies of CHLS. Third, for meaningful social studies, environment that can improve communication and thinking ability through interaction needs to be facilitated. Fourth, supporting plan is advised for teachers carrying on the role of manager and facilitator.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.3
• /
• pp.359-365
• /
• 2022

This study was to provide teaching and learning strategies to develop a creative sight-singing and ear-training program that aims to design student-centered education. Therefore, the characteristics of the sight-singing and ear-training as well as teaching and learning methods were analyzed through the literature review, and the following meaningful strategies were derived. First, a student-centered teaching environment was promoted by diversifying the teaching environment through small group activities and establishing a sustainable learning environment using MyEarTraining and Musescore applications. Second, teaching and learning strategies were proposed to improve sight-singing and ear-training skills by applying for various teaching and learning methods and cultivating the qualities of a pre-service teacher. This study is expected to be used as meaningful fundamental data in developing specific teaching and learning processes for a creative sight-singing and ear-training program.

• 한국어정보학회:학술대회논문집
• /
• 2016.10a
• /
• pp.324-329
• /
• 2016

의미역 결정은 자연어 문장의 서술어와 그 서술어에 속하는 논항들 사이의 의미관계를 결정하는 것이다. 최근 의미역 결정 연구에는 의미역 말뭉치와 기계학습 알고리즘을 이용한 연구가 주를 이루고 있다. 본 논문에서는 순차적 레이블링 영역에서 좋은 성능을 보이고 있는 Bidirectional LSTM-CRFs 기반으로 음절의 의미역 태그 분포를 고려한 의미역 결정 모델을 제안한다. 제안한 음절의 의미역 태그 분포를 고려한 의미역 결정 모델은 분포가 고려되지 않은 모델에 비해 2.41%p 향상된 66.13%의 의미역 결정 성능을 보였다.

• Annual Conference on Human and Language Technology
• /
• 2016.10a
• /
• pp.324-329
• /
• 2016

의미역 결정은 자연어 문장의 서술어와 그 서술어에 속하는 논항들 사이의 의미관계를 결정하는 것이다. 최근 의미역 결정 연구에는 의미역 말뭉치와 기계학습 알고리즘을 이용한 연구가 주를 이루고 있다. 본 논문에서는 순차적 레이블링 영역에서 좋은 성능을 보이고 있는 Bidirectional LSTM-CRFs 기반으로 음절의 의미역 태그 분포를 고려한 의미역 결정 모델을 제안한다. 제안한 음절의 의미역 태그 분포를 고려한 의미역 결정 모델은 분포가 고려되지 않은 모델에 비해 2.41%p 향상된 66.13%의 의미역 결정 성능을 보였다.

• Annual Conference on Human and Language Technology
• /
• 2015.10a
• /
• pp.18-22
• /
• 2015

기계학습 기반의 의미역 인식에서 주로 어휘, 구문 정보가 자질로 주로 쓰이지만, 의미 정보를 분석하는 의미역 인식은 단어의 의미 정보 또한 매우 주요한 정보이다. 그러나, 기존 연구에서는 의미 정보를 활용할 수 있는 방법이 제한되어 있기 때문에, 소수의 연구만 진행되었다. 본 논문에서는 동형이의어 수준의 의미 애매성 해소 기술, 고유 명사에 대한 개체명 인식 기술, 의미 정보에 기반한 필터링, 유의어 사전을 이용한 클러스터 및 기존 프레임 정보를 확장하는 방법을 제안한다. 제안하는 방법은 기존 연구 대비 뉴스 도메인인 Korean Propbank는 3.14, 위키피디아 문서 기반의 WiseQA 평가셋인 GS 3.0에서는 6.57의 성능 향상을 보였다.

• Journal of the Korean Society of Radiology
• /
• v.16 no.7
• /
• pp.995-1006
• /
• 2022

The purpose of this study was to investigate the current status of practical course operation in a non-face-to-face online environment, learning effects, and students' experiences and perceptions for radiology major students using a survey. The questionnaire consisted of a total of 34 items in 5 areas: general characteristics of subjects, current learning participation in non-face-to-face environments, learning satisfaction, learning outcomes, improvement and requirements. For the analysis of the questionnaire responses, frequency analysis was performed on the response frequency, ratio, and scale for each item. Based on the general characteristics of the survey respondents, cross-analysis was performed using the chi-square test for participation in non-face-to-face learning, learning performance, and learning satisfaction. implemented. Improvements and requirements were qualitatively analyzed for the repetition frequency of words with the same meaning. Through the results of analyzing the responses of a total of 397 questionnaires, the direction of design and development of practical classes in a non-face-to-face environment in the future and basic information and implications for efficient operation were confirmed. Based on this, it is necessary to continue to think and make efforts for the efficient operation of non-face-to-face practice classes in the post-corona era.