• Journal of Science Education
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• v.41 no.3
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• pp.297-317
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• 2017

The purpose of this study was to investigate the possibility of Science Social and Emotional Learning(SSEL). The factors of SSEL were suggested, and by utilizing them, the contents of middle school's science and Chemistry 1 textbook were analyzed. The factors are as follow: numeracy, information and communication technology, critical thinking, creative thinking, personal and social capability, ethical understanding, and intercultural understanding. The results showed that the 60~70% of textbooks put emphasis on numeracy, information and communication technology, critical thinking, creative thinking while some factors were limited in th contents, which were personal and social capability, ethical understanding, and intercultural understanding. Therefore, teacher should try to reconstruct the teaching and learning materials and fill in the deficiencies of SSEL factors through class activities. In addition, it is suggested to study specific application methods such as science activities or experiment activities in detail to meet social and emotional learning.

• Journal of Korean Home Economics Education Association
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• v.29 no.3
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• pp.33-48
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• 2017

The purpose of this research was to analyze the contents of housing teaching learning studies in Home Economics of secondary schools since 2001. The 22 research, drawn from the database 'riss4u', were analyzed in terms of general information of the paper (studied institution & year, implementation & evaluation, subject of study & size) and specific contents of teaching learning plans (theme, curricula & textbooks, methode & # of lessons, resources). The results showed that most studies were reported during the 7th or the 2007 revised curricula period. All, except one doctoral dissertation, were master's theses from a few universities. In all studies, ranging from 2 to 15 lessons, teaching learning plans were implemented and evaluated in the class of the researcher while some were applied in other schools, too. The theme of the teaching learning plans varied but were concentrated on one out of two content elements and two out of six learning elements. The 2007 revised curriculum seems to be an important turning point, not only reinforcing the analyses of the curricular and textbooks in the analyzing stage but also facilitating the use of various methods for the lessons in the developing stage. Practical problem based model was the most frequently adopted, while cooperative learning and ICT served as fundamental although not always mentioned. Various teaching resources such as UCC, reading materials, PPT were developed for the teacher. Activity sheets were the most frequently used for the students, followed by reading materials. Because teaching learning is an essential core of education, teaching learning studies should be more actively conducted and the variety of subject topics, methods and resources should also be obtained by more researchers.

• Journal of Platform Technology
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• v.9 no.3
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• pp.52-62
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• 2021

Quality control is critical at manufacturing sites and is key to predicting the risk of quality defect before manufacturing. However, the reliability of manual quality control methods is affected by human and physical limitations because manufacturing processes vary across industries. These limitations become particularly obvious in domain areas with numerous manufacturing processes, such as the manufacture of major nuclear equipment. This study proposed a novel method for predicting the risk of quality defects by using natural language processing and machine learning. In this study, production data collected over 6 years at a factory that manufactures main equipment that is installed in nuclear power plants were used. In the preprocessing stage of text data, a mapping method was applied to the word dictionary so that domain knowledge could be appropriately reflected, and a hybrid algorithm, which combined n-gram, Term Frequency-Inverse Document Frequency, and Singular Value Decomposition, was constructed for sentence vectorization. Next, in the experiment to classify the risky processes resulting in poor quality, k-fold cross-validation was applied to categorize cases from Unigram to cumulative Trigram. Furthermore, for achieving objective experimental results, Naive Bayes and Support Vector Machine were used as classification algorithms and the maximum accuracy and F1-score of 0.7685 and 0.8641, respectively, were achieved. Thus, the proposed method is effective. The performance of the proposed method were compared and with votes of field engineers, and the results revealed that the proposed method outperformed field engineers. Thus, the method can be implemented for quality control at manufacturing sites.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1317-1322
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• 2021

Software in the era of the Fourth Industrial Revolution is becoming a key foundation in an intelligent information society. Therefore, it is necessary to study the new direction of manpower training and education that can cope with the times. To this end, the Ministry of Education reorganized the curriculum and is implementing software education based on a logical problem-solving process based on computing thinking skills rather than acquiring general ICT knowledge. However, there is a lack of securing high-quality educational content for software education, and there is also a lack of teaching aids that can be taught in connection with advanced IT technologies. To overcome this, this paper proposes the development of external expansion devices to expand educational content and functions capable of convergent software education such as artificial intelligence using coding robots for software education. Through this, effective software education is possible by improving the curriculum of the existing simple problem-solving method and developing various learning materials.

• Journal of the Korean School Mathematics Society
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• v.9 no.3
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• pp.249-263
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• 2006

The purpose of this study is to investigate the characteristics of 'best practire' in mathematics and suggest some solutions to several problems emerging in mathematics classes of secondary schools. The study was carried out by using qualitative research methods such as class observations and in-depth interviews with six teachers. Based on the collected data, we could sort out the major patterns which characterize 'the good mathematics teaching' at schools in Korea. The common characteristics of best practice in mathematics are drawn out from the six cases. The common characteristics include revising the curriculum and text books, realistic mathematics education, using ICT and meta-cognition, introduction with motivation and interest, performance assessment and managing differentiated small group. Results implied that six teachers used a variety of instructional methods and strategies which is related with the common characteristics of good mathematics teaching. Also these teachers not only improved their own classroom practices but also participated in various professional community of mathematics education and shared their practical knowledge. In conclusion assorted efforts from the government and the school principals as well as the teachers are prerequisite for practicing and spreading good mathematics teaching across the classrooms.

• 정보화사회
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• s.142
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• pp.30-32
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• 2000

한국정보통신진흥협회가 주관하고 한국교육정보방송학회, 한국공학교육학회, 한국정보과학회, 한국정보교육학회, 한국컴퓨터교육학회 등 5개 교육정보화 관련학회가 주최하는 "스쿨넷2000 학술세미나 및 전시회"가 지난 8월 4일부터 이틀간 부산대학교에서 열렸다. '스쿨넷'은 초 중등 학교에서 인터넷을 교육에 활용하기 위해 국내(SchoolNet)또는 국외(ICCE)교육정보화 관련 교사와 학생, 전문가, 기업 관련 공공기관에서 정보통신 기술과 교육의 접목을 시도하는 사람들이 모여 상호간의 경험과 기술을 공유할 수 있는 학술 행사이다. 이번 행사에 참석한 많은 관계자들은 "각급 교육기관이 필요로하는 인터넷기반의 학습기법과 교수방법 소개는 물론 국외 전문가들로부터 선진경험 및 노하우를 얻을 수 있었다"라고 참가평을 밝혔다. 이번 학술세미나에서 발표된 논문들 중 정보통신부 정보화기획실 변재일 실장이 발표한 '인터넷 시대에 대응하는 정보화 정책 방향'논문을 요약해서 싣는다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.483-486
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• 2008

최근의 개정된 7차교육과정의 '정보' 교과에서는 기존의 컴퓨터활용위주 교육대신에 컴퓨터과학과 문제해결능력을 강조하는 내용으로 개편되었다. 이 교육 과정은 2010년 중학교 1학년부터 적용하여 2013년 고등학교 3학년까지 단계적으로 적용할 계획에 있다. 이에 본 연구에서는 개정된 '정보' 교육과정의 내용에 관련 있는 '초 중등학교 정보통신기술 교육 운영지침'의 내용을 중등학생이 어느 정도 파악하고 있으며, 4단계의 영역('정보사회의 생활', '정보기기의 이해', '정보처리의 이해', '정보가공과 공유')과 '종합 활동'의 학습 내용간에 인지도의 차이를 분석한다. 이 분석 결과를 바탕으로 현재 일선학교에서 시행되고 있는 '초 중등학교 정보통신기술 교육 운영지침'의 운영상의 문제점을 학생인지도 측면에서 지적하고 이의 개선점을 제시하고자 한다.

• 한국정보교육학회:학술대회논문집
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• 2007.01a
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• pp.301-308
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• 2007

21세기 교육환경의 변화로 인해 언제 어디서나 누구든지 쉽고 편리하게 자기 주도적 학습을 할 수 있는 도구로서 이러닝이 주목받기 시작하면서, 효과적인 이러닝 활용 능력을 가진 이러닝 전문 교사의 필요성이 확대되었다. 본 논문에서는 이러닝을 선도하는 전문 교사 양성을 위한 교육과정을 개발하기 위해, 국내 이러닝 전문 인력 양성 기관의 교육과정 및 전국 16개 시 도교육청 ICT 관련 연수 과정을 분석하고, 현장 교사들을 대상으로 이러닝 관련 요구사항을 파악하여 이러닝 전문 교사 양성 교육과정을 개발하였다.

• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.383-395
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• 2012

This study investigated the recognition of teachers on the introduction and use of SMART education, which is an ICT-based customized learning method. Through the investigation, the study was to empirically examine the relationship between the use intention of SMART education and its influential factors, and analyze the difference in the use intention of SMART education by teachers, focusing on the experience of SMART education. For analysis purpose, a structural equation model, which was expanded from the theory of reasoned action, was presented. In addition, the difference in path coefficient, which affects the use intention of SMART education, was compared based on the experience with or without SMART education. The results showed that teacher efficacy in the teacher group without SMART education experience was more negatively significant in class burden. In the teacher group with SMART education experience, it was found that the attitude toward SMART education was more significant in use intention; organizational citizenship behavior was more significant in use intention; teacher efficacy was more significant in the attitude toward SMART education and; teacher efficacy was more significant in organizational citizenship behavior. No significant difference was found in the path coefficient among the groups in other hypotheses. Through these results, the factors for introducing and promoting SMART education and its invigoration measures were presented.

• The Journal of Bigdata
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• v.8 no.1
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• pp.49-59
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• 2023

There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.