• Title/Summary/Keyword: trends analysis

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Analysis of Trends in Research on Effortful Control (의도적 통제(Effortful Control) 관련 논문의 연구 동향)

  • Bae, Yun-Jin;Lim, Ji-Young
    • Korean Journal of Human Ecology
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    • v.20 no.1
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    • pp.57-70
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    • 2011
  • The purpose of this study was to analyze the research trends on effortful control with a focus on those found in academic journals. This was done in an attempt to understand the conception of effortful control clearly and lay the foundations for future studies. An analysis was performed on frequencies by years, methodology, and content. Results showed that (1) 95 research articles on effortful control were published between January of 1999 and June of 2010. (2) Most research participants were school-aged children. (3) There were a number of ways that researchers have assessed the concept of effortful control, and the most frequently used measurement scale was the Rothbart's questionnaire for temperament. (4) The main content of the research was the relationships between effortful control and developmental domains (particularly, emotional and social development). More recently, researches examining environmental factors including family and peer environment have increased.

Analysis of Research Trends on Science Education in Korea (한국의 과학 교육 연구 내용분석)

  • Kim, Young-Min
    • Journal of The Korean Association For Science Education
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    • v.5 no.2
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    • pp.139-145
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    • 1985
  • This study was undertaken to analyze the research trends on science education in Korea. In this study the analysis for of trends of researches on science education, nine areas such as historical change of science Education, Processes of science learning science curriculum, science instruction, teaching-learning materials and equipment for science education, valuation on science education, survey on Korean science education, policy and management of science education, and natural science, were chosen for the analysir. All science education. thesis and dissertations in Korea, papers of science education published by the science center of the Seoul National University and the papers of the Journal of the Korean Association of Res Search in science Education were analyzed. The findings of this study are as follows: 1. Seventy percentile of science educational thesis and dissertations are on natural science areas. 2. About 14% of all papers being sampled is in science curriculum research category. There are few research studies on historical changes of science education, and teaching-learning materials and equipments for science education.

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Domestic Research of Medical Students Trends Analysis (의과대학생에 관한 국내 연구동향 분석)

  • Lee, Aehwa
    • Korean Medical Education Review
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    • v.20 no.2
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    • pp.91-102
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    • 2018
  • This study explored medical students' major research topics and research methods by analyzing 184 academic articles pertaining to the characteristics of medical students from 2007 to 2017. Results showed many papers dealing with medical students' emotional and cognitive aspects, student counseling, clinical practice education, and curriculum management. According to the medical education accreditation board, research trends were found mostly in the student and curriculum areas of learner characteristics, medical humanities, student counseling, clinical practice education, and curriculum management. Common research topics have been steadily increasing since the introduction of the evaluation accreditation standard in 2012. Medical students predominantly used quantitative research methods for the studies. In the future, it is necessary to ensure that research topics such as CQI, digital- and performance-based clinical practice, and convergent curriculum within the Fourth Industrial Revolution are being studied. In addition, it is crucial to investigate learners' unique, dynamic, and qualitative characteristics through qualitative and mixed methods.

A Social Travel Recommendation System using Item-based collaborative filtering

  • Kim, Dae-ho;Song, Je-in;Yoo, So-yeop;Jeong, Ok-ran
    • Journal of Internet Computing and Services
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    • v.19 no.3
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    • pp.7-14
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    • 2018
  • As SNS(Social Network Service) becomes a part of our life, new information can be derived through various information provided by SNS. Through the public timeline analysis of SNS, we can extract the latest tour trends for the public and the intimacy through the social relationship analysis in the SNS. The extracted intimacy can also be used to make the personalized recommendation by adding the weights to friends with high intimacy. We apply SNS elements such as analyzed latest trends and intimacy to item-based collaborative filtering techniques to achieve better accuracy and satisfaction than existing travel recommendation services in a new way. In this paper, we propose a social travel recommendation system using item - based collaborative filtering.

Trends Analysis of Digital Preservation Research in Korea (국내 디지털 보존 연구의 동향 분석)

  • Lee, So-Yeon
    • Journal of Korean Society of Archives and Records Management
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    • v.13 no.2
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    • pp.247-283
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    • 2013
  • The current study aims at reviewing digital archives and preservation research trends from diverse disciplines in order to shed light on what have been accomplished so far as well as what should be done to make progress. A total of 115 research articles have been selected from 2 journals of archival science and 28 journals of library and information science, computer science, and others. Selected articles are categorized into four subject areas. For each subject area, research trends are reviewed.

Face Recognition Technology Trends Through Patent Analysis (특허로 살펴본 얼굴인식 기술개발 동향)

  • Jeong, S.H.;Choi, B.C.
    • Electronics and Telecommunications Trends
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    • v.34 no.2
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    • pp.29-39
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    • 2019
  • The interest in facial recognition technology has been growing with the advancement of AI technology. With a confirmed accuracy of over 99%, the areas of application of the technology have expanded, including smartphone unlocking, online payment authorization, building access management, and criminal apprehension. This indicates that the technology has effectively transitioned from laboratory to field applications. This study performs patent analysis to determine recent innovations and diffusion trends in facial recognition technology. Specifically, R&D activities involving facial recognition technology are investigated at both the country level and company level. Significant patents are also considered. This study contributes to R&D management teams by proposing useful plans and strategies.

Analysis and Prospect of Export Trend of Air Cargo Market before and after COVID-19

  • Kim, Young-Rok;Lim, Jae-Hwan;Choi, Yun-Chul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.4
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    • pp.164-170
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    • 2020
  • Recently, the aviation industry faced a major crisis due to the impact of COVID-19. However, despite the sluggish passenger transportation, the cargo transportation sector is relatively maintained or increasing depending on the item. In this study, we will look at the trends before and after COVID-19, focusing on the cargo export field, which is a concern of the aviation industry. First, it analyzes the entire air cargo and then analyzes the trends of each item and country in detail. In particular, it examines the process of changes in air transport costs, which increased significantly immediately after COVID-19, and conducts future trends and prospects in the cargo export field. As a result of the study, some characteristics of air cargo exports before and after COVID-19 were found in an analysis by item and country, and transportation costs varied according to route distance.

What Topics Have Been Studied in Korean Mathematics Education for 15 Years: Latent Topic Modeling Analysis

  • Hwang, Jihyun
    • Research in Mathematical Education
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    • v.24 no.4
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    • pp.313-335
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    • 2021
  • The purpose of this research is to identify topics discussed by Korean mathematics education studies and examine research trends for 15 years. I applied latent Dirichlet allocation (LDA) to the original text datasets including English abstracts of 3,157 articles published in eight journals indexed by the Korean Citation Index (KCI) from 1997 to 2019. I identified an LDA model with 60 topics, then research trends in 2,884 articles between 2002 and 2018 were as follows; mathematics educators have paid most attention to teacher education through 2010 to 2015 and curriculum analysis after 2016. The findings in this research can contribute to understand what have been discussed in Korean mathematics education society as well as what will and need to be emphasized more in the future compared to the global research trends. In addition, LDA has potentials to identify topics and keywords of manuscripts newly written and submitted to any journals in addition to information provided by authors.

United States-China Competition for Technological Supremacy in Quantum Computing and Policy Trends (미중 기술패권 경쟁과 양자컴퓨팅 정책 동향)

  • S.J. Lee;S.H. Jeong;B.S. Cho
    • Electronics and Telecommunications Trends
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    • v.38 no.4
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    • pp.47-57
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    • 2023
  • The competition for technological supremacy is unfolding in the high-tech field, and quantum computing can be determinant for economic and security ripple effects. The United States and China, leaders in quantum computing, have developed this field through adequate policies. The United States has fostered quantum computing through government policies and competition among private companies, while China has secured world-class technology through large-scale government investment and attracting foreign talent. In quantum computing, securing talented people is essential to guarantee independent technology development regarding academic attributes and security. We analyze quantum computing policies in the United States and China on a timeline and determine their policy trends. In addition, the policies for securing talent in these countries are reviewed, and the policy effects are compared based on literature analysis. Through the analysis of policy cases between the United States and China, bilateral policy implications for Korea are delineated.

Rearch of Late Adolcent Activity based on Using Big Data Analysis

  • Hye-Sun, Lee
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.361-368
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    • 2022
  • This study seeks to determine the research trend of late adolescents by utilizing big data. Also, seek for research trends related to activity participation, treatment, and mediation to provide academic implications. For this process, gathered 1.000 academic papers and used TF-IDF analysis method, and the topic modeling based on co-occurrence word network analysis method LDA (Latent Dirichlet Allocation) to analyze. In conclusion this study conducted analysis of activity participation, treatment, and mediation of late adolescents by TF-IDF analysis method, co-occurrence word network analysis method, and topic modeling analysis based on LDA(Latent Dirichlet Allocation). The results were proposed through visualization, and carries significance as this study analyzed activity, treatment, mediation factors of late adolescents, and provides new analysis methods to figure out the basic materials of activity participation trends, treatment, and mediation of late adolescents.