• 한국컴퓨터정보학회논문지
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• 제13권4호
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• pp.59-69
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• 2008

본 연구는 초등학생들의 컴퓨터 게임 중독에 영향을 미치는 심리적 요인 중 아동이 지각한 부모의 양육태도, 학습된 무기력과 관계를 살펴보기 위함이다 연구대상은 강서구의 S초등학교 4, 5, 6학년 학생 745명이다 컴퓨터게임중독 척도를 측정하기 위해 한국정보문화진흥원(2006)이 개발한 아동용 인터넷게임중독척도, 황지현(2006)이 제작한 아동이 지각한 부모의 양육태도 설문지, 정수자(1995)가 수정한 학습된 무기력척도를 측정도구로 하였다. 본 연구의 분석 방법은 SPSS WIN 11.0을 사용하여 Cronbach'a alpha, freuency, percentage, Two-Way ANOVA, Pearson's Correlation, and Regression이다. 연구결과 잠재적 위험군과 고위험군의 아동들이 전체 14.3%(745명 대상자 중 잠재적위험군 9.3%(69명), 고위험군 5%(37명))를 나타내고 있었으며, 학년별 유의미한 차이는 나타나지 않았다. 성별에 따른 게임중독수준의 차이를 보면, 잠재적 위험군은 남학생 87%, 여학생 13%로 6배 이상, 고위험군은 남학생 83.8%여학생 16.2%로 5배 이상 높게 나타났다.

• 한국게임학회 논문지
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• 제20권4호
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• pp.111-124
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• 2020

본 논문은 학습된 낙관주의 관점에서 '메이플스토리' NPC들의 대화 내용을 분석하였다. NPC의 대화는 게임 이용자들의 재미와 성취욕구 부여에 큰 역할을 하며, NPC와의 반복적이고 장기적인 대화는 유저의 사고에도 영향을 미칠 수 있다. 본 연구에서는 학습된 낙관주의 설명 양식의 핵심적인 2가지 차원인 영속성과 파급성의 요소를 활용하여 분석한 결과, NPC들의 낙관주의적 언어 사용 비율은 대략 6~7%로 확인되었다. 낙관적인 대화성향을 지닌 NPC와 지속적인 소통은 게임 해비유저에게 유사한 사고를 학습할 기회를 부여할 수 있어 향후 NPC인공지능 개발시 중요한 고려사항임을 확인하였다.

• 한국수학교육학회지시리즈A:수학교육
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• 제54권4호
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• pp.351-363
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• 2015

In this study, 45 pre-service mathematics teachers were surveyed about how the perception of knowledge through teaching practicum have changed and how the knowledge learned in college and teaching practicum helped to format teachers' knowledge and analyzed survey's result. Pre-service mathematics teachers felt the knowledge for understanding students were needed the most and considered the experiences from teaching practicum were more useful than the knowledge learned from college classes. However, they had low appreciations on connecting knowledge on learned contents with real-life or other subjects and on necessity of knowledge of using various learning tools or mathematical materials in class. Also, they have answered the knowledges from college classes and teaching practicum were useless in those areas. Especially, they pointed out that guidance teachers during teaching practicum were insufficient in instructing. Therefore, we suggest the following two to improve the teaching ability of pre-service mathematics teachers through teaching practicum. First, college and secondary school cooperating programs such as class-observation and student-mentor system connected with local society should be developed. Second, the special re-training program for guidance teachers of teaching practicum is needed.

• 한국게임학회 논문지
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• 제16권1호
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• pp.93-102
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• 2016

본 연구는 학습장애 학생의 학교생활 적응을 위하여 로봇 프로그래밍 교육을 실시함으로써 학습장애학생의 학습된 무기력과 자발적 언어 사용에 미치는 영향을 살펴보고자 하였다. 연구에 참여한 학생은 실제 특수교육 지원을 받는 초등학교 4학년 학습장애학생이다. 연구 결과 로봇 프로그래밍 교육은 학습장애학생의 학습된 무기력을 감소시키며 통합학급에서 자발적 발화량을 증가시켰다. 본 연구 결과를 기반으로 학습장애학생을 위한 강점 기반 교육이나 게이미피케이션을 적용한 중재가 실제 교육 현장에서 효과적으로 활용될 수 있는 방안을 제안하였다.

• 한국멀티미디어학회논문지
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• 제25권4호
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• pp.600-609
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• 2022

In supervised learning, labeling of all data is essential, and in particular, in the case of object detection, all objects belonging to the image and to be learned have to be labeled. Due to this problem, continual learning has recently attracted attention, which is a way to accumulate previous learned knowledge and minimize catastrophic forgetting. In this study, a continaul learning model is proposed that accumulates previously learned knowledge and enables learning about new objects. The proposed method is applied to CenterNet, which is a object detection model of anchor-free manner. In our study, the model is applied the knowledge distillation algorithm to be enabled continual learning. In particular, it is assumed that all output layers of the model have to be distilled in order to be most effective. Compared to LWF, the proposed method is increased by 23.3%p mAP in 19+1 scenarios, and also rised by 28.8%p in 15+5 scenarios.

• 한국항공우주학회지
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• 제31권4호
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• pp.119-122
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• 2003

• 한국초등과학교육학회지:초등과학교육
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• 제33권2호
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• pp.335-351
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• 2014

The 96 elementary school teachers' the degrees of understandings about the characteristics of the currents according to the connection methods of batteries in simple electric circuits were investigated. In this study, the concepts on the characteristics of currents according to the connection methods of batteries were divided 'the learned concepts' and 'the differentiated concepts'. The characteristics of the currents in the region of the larger resistance of load than the internal resistance of a battery were called the learned concepts, they are taught in the science curriculum. While the characteristics of the currents in the region of the smaller resistance of load than the internal resistance of a battery were called the differentiated concepts, they are not exposed clearly in the science curriculum. The results obtained in this study are as follows: The average score related to the learned concepts was relatively high, while the degree of the teachers' cognitions of the internal resistance of a battery and the resistance of wires were low. Also the average score related to the differentiated concepts was very low because it seems so new to the elementary school teachers. It strongly suggests that the elementary school teachers did not understand meaningfully the characteristics of the currents related to the connections of batteries on the ground of the cognitions of the internal resistances of batteries and the resistances of loads in simple electric circuits. Hence, they might experience difficulties due to the problems occurred in relation to the connections of batteries in the elementary school science lessons.

• 한국초등과학교육학회지:초등과학교육
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• 제23권1호
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• pp.27-36
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• 2004

This paper aims to examine how well university students, who are going to be primary school teachers, understand the International System of Units (SI), focusing on seven basic units such as 'm', '㎏', '㏖', 'A', 'K', 's', 'cd'. This study specifically investigates whether the students know the seven units and understand their uses and how they read and learn them. The subjects were 1030 students from the University of Education in Jinju, Geongsangnamdo. Data was collected through a questionnaire which was designed by this researcher and checked by an authority, and the frequency and percentage of reponses to each question were obtained and analysed. Findings show all the students knew very well that 'm' and '㎏' are included in the seven units, compared to the others which low percentage of the students considered as the elements. In terms of understanding of use, the units of the length 'm', the mass '㎏', and the time 's' are well understood, presumably, because they are often used in ordinary life and school, while the amount of substance '㏖', the electric current 'A', the thermodynamic temperature 'K', and the luminous intensity 'cd' are not as well understood. It is probably because 'A', 'cd', and 'K' are hardly used in everyday life. With respect to reading the units, the subjects read 'm', '㎏', '㏖', and's' much better than the others. As for the source of learning them, most students answered they learned them in schools, which implies school education is very important. From these results it is concluded that school education should be accompanied with use in everyday life for understanding and using the units. SI Base Units understanding was investigated by an academic year. According to this investigation, generally the right answer rate differed 4<2<3<1 by an academic year in order. For the Senior, Sophomore appeared the right answer rate more high. because, they learned before in deepening or elementary course on chemistry and physics related with SI Base Units. On the other hand, for the junior answered low rate by this reason that they couldn't remember about SI Base Units that learned before. For the Freshman appeared low rate by this reason that they were not learned or graduated from the department of liberal art in high school.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.1252-1271
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• 2013

Automatic image annotation has become an increasingly important research topic owing to its key role in image retrieval. Simultaneously, it is highly challenging when facing to large-scale dataset with large variance. Practical approaches generally rely on similarity measures defined over images and multi-label prediction methods. More specifically, those approaches usually 1) leverage similarity measures predefined or learned by optimizing for ranking or annotation, which might be not adaptive enough to datasets; and 2) predict labels separately without taking the correlation of labels into account. In this paper, we propose a method for image annotation through collaborative similarity metric learning from dataset and modeling the label correlation of the dataset. The similarity metric is learned by simultaneously optimizing the 1) image ranking using structural SVM (SSVM), and 2) image annotation using correlated label propagation, with respect to the similarity metric. The learned similarity metric, fully exploiting the available information of datasets, would improve the two collaborative components, ranking and annotation, and sequentially the retrieval system itself. We evaluated the proposed method on Corel5k, Corel30k and EspGame databases. The results for annotation and retrieval show the competitive performance of the proposed method.

• Nuclear Engineering and Technology
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• 제49권2호
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• pp.349-359
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• 2017

During the past 25 years, in the context of probabilistic safety assessment, efforts have been directed towards establishment of comprehensive pipe failure event databases as a foundation for exploratory research to better understand how to effectively organize a piping reliability analysis task. The focused pipe failure database development efforts have progressed well with the development of piping reliability analysis frameworks that utilize the full body of service experience data, fracture mechanics analysis insights, expert elicitation results that are rolled into an integrated and risk-informed approach to the estimation of piping reliability parameters with full recognition of the embedded uncertainties. The discussion in this paper builds on a major collection of operating experience data (more than 11,000 pipe failure records) and the associated lessons learned from data analysis and data applications spanning three decades. The piping reliability analysis lessons learned have been obtained from the derivation of pipe leak and rupture frequencies for corrosion resistant piping in a raw water environment, loss-of-coolant-accident frequencies given degradation mitigation, high-energy pipe break analysis, moderate-energy pipe break analysis, and numerous plant-specific applications of a statistical piping reliability model framework. Conclusions are presented regarding the feasibility of determining and incorporating aging effects into probabilistic safety assessment models.