• Title/Summary/Keyword: Learning Analysis

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Development of KOPRI's Experiential Field Trip Programs for the Spread of Polar Science Culture (극지과학문화 확산을 위한 극지연구소 체험형 견학 프로그램 개발)

  • Jung, Chanmi;Choi, Kyoulee;Baek, Eunjoo;Paik, Hee Su
    • Journal of the Korean Society of Earth Science Education
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    • v.13 no.1
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    • pp.1-14
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    • 2020
  • The goal of this study is to develop a hands-on type polar field trip program to inform the importance of the recent polar research and to contribute to the spread of polar science culture. For this purpose, the direction of program development and field trip course were established based on the current Korea Polar Research Institute tour program and research exhibition facilities analysis. Based on this, a total of 6 types field trip programs were developed, including one basic tour program and one optional experience program for the overall introduction of polar research institutes and polar science fields, and four optional experience programs for each education participant that enables field trips and professional experiential learning activities by polar science field. The developed program was revised and supplemented through a total of two trials, and a field trip program manual was produced, including guidance scripts, experience kits, activity sites, and instructor guides for each field trip. At the end, a follow-up study was proposed based on the significance and research results of the developed program.

An analysis of mathematics competencies in elementary mathematics textbooks for fifth and sixth grade (초등학교 5-6학년군 수학 교과서에 제시된 교과 역량 분석)

  • Kim, Jeong-Won;Pang, Jeong-Suk;Hwang, Ji-Nam
    • The Mathematical Education
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    • v.59 no.2
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    • pp.147-166
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    • 2020
  • Textbooks are important resources in support of teaching and learning mathematics competencies which are emphasized in the most recently revised mathematics curriculum. This study analyzed how six mathematics competencies and their sub-elements are implemented in the mathematics textbooks for the fifth and sixth grades. A total of 465 activities or items in the targeted textbooks were analyzed. The findings of this study showed that both the communication competence and the reasoning competence were the most frequent competencies, followed by the problem solving competence. In contrast, the other three competences (i.e., creativity and integration, attitude and practice, and information processing) were less popular. Detailed analyses of sub-elements according to each competence revealed that one or two specific sub-elements were emphasized within a competence. Whereas "expressing one's idea" was the most prevalent sub-element in the communication competence, both "analyzing mathematical facts" and "observation and conjecture" were the most frequent in the reasoning practice. Specific sub-elements were jointly implemented within or across competences. "External connections of mathematics and integration" in the creativity and integration competence was carried out in relation to "recognition of values" in the attitude and practice competence. This paper also included some examples of activities or items showing how specific sub-elements of each competence were reflected on. This study is expected to provide implications on how to implement mathematics competencies throughout the textbooks.

A Study on the Improvement Scheme of University's Software Education

  • Lee, Won Joo
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.3
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    • pp.243-250
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    • 2020
  • In this paper, we propose an effective software education scheme for universities. The key idea of this software education scheme is to analyze software curriculum of QS world university rankings Top 10, SW-oriented university, and regional main national university. And based on the results, we propose five improvements for the effective SW education method of universities. The first is to enhance the adaptability of the industry by developing courses based on the SW developer's job analysis in the curriculum development process. Second, it is necessary to strengthen the curriculum of the 4th industrial revolution core technologies(cloud computing, big data, virtual/augmented reality, Internet of things, etc.) and integrate them with various fields such as medical, bio, sensor, human, and cognitive science. Third, programming language education should be included in software convergence course after basic syntax education to implement projects in various fields. In addition, the curriculum for developing system programming developers and back-end developers should be strengthened rather than application program developers. Fourth, it offers opportunities to participate in industrial projects by reinforcing courses such as capstone design and comprehensive design, which enables product-based self-directed learning. Fifth, it is necessary to develop university-specific curriculum based on local industry by reinforcing internship or industry-academic program that can acquire skills in local industry field.

Optimized Feature Selection using Feature Subset IG-MLP Evaluation based Machine Learning Model for Disease Prediction (특징집합 IG-MLP 평가 기반의 최적화된 특징선택 방법을 이용한 질환 예측 머신러닝 모델)

  • Kim, Kyeongryun;Kim, Jaekwon;Lee, Jongsik
    • Journal of the Korea Society for Simulation
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    • v.29 no.1
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    • pp.11-21
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    • 2020
  • Cardio-cerebrovascular diseases (CCD) account for 24% of the causes of death to Koreans and its proportion is the highest except cancer. Currently, the risk of the cardiovascular disease for domestic patients is based on the Framingham risk score (FRS), but accuracy tends to decrease because it is a foreign guideline. Also, it can't score the risk of cerebrovascular disease. CCD is hard to predict, because it is difficult to analyze the features of early symptoms for prevention. Therefore, proper prediction method for Koreans is needed. The purpose of this paper is validating IG-MLP (Information Gain - Multilayer Perceptron) evaluation based feature selection method using CCD data with simulation. The proposed method uses the raw data of the 4th ~ 7th of The Korea National Health and Nutrition Examination Survey (KNHANES). To select the important feature of CCD, analysis on the attributes using IG-MLP are processed, finally CCD prediction ANN model using optimize feature set is provided. Proposed method can find important features of CCD prediction of Koreans, and ANN model could predict more accurate CCD for Koreans.

Analysis of Fish Blocking Effect using Illuminance Difference (조도 차이를 이용한 어류 차단 효과 분석)

  • Kang, Joon-Gu;Kang, Su-Jin;Kim, Jong-Tae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.9
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    • pp.76-83
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    • 2017
  • Fish respond sensitively to light, so it is possible to develop fish management technology using this feature. In this study, we developed a light-based fish barrier and analyzed itsblocking effect using the difference in illuminance for the major fish species in Korea, bass and bluegill. The light was generated by a light emitting diode and the facility was installed vertically from the bottom. Considering the fish's ability to travel upstream, the flow rate was divided into three stages (0.2, 0.1, and 0.05 m/s). To prevent the learning effect, an experiment was carried out with fish that had rested for more than one day in a rearing tank. The experiment was carried out in such a way as tocompare the number of fish which travelled upstream after the introductionof the fish barrier and that of the fish which travelled upstream after itsremoval. It was also carried out after sunset to increase the effectiveness of the barrier. According to the results of the experiment, the fish blocking effect depending on the difference in illuminance was high and, overall, the blocking rate for bass was lower than that for bluegill. Based on the total size of the experimental population, the blocking rates for bass and bluegill were 96.33% and 99.00%, respectively. Based on the number of fish that travelled upstream, the blocking rates for bass and bluegill were 91.73% and 98.73%, respectively.

The big data method for flash flood warning (돌발홍수 예보를 위한 빅데이터 분석방법)

  • Park, Dain;Yoon, Sanghoo
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.245-250
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    • 2017
  • Flash floods is defined as the flooding of intense rainfall over a relatively small area that flows through river and valley rapidly in short time with no advance warning. So that it can cause damage property and casuality. This study is to establish the flash-flood warning system using 38 accident data, reported from the National Disaster Information Center and Land Surface Model(TOPLATS) between 2009 and 2012. Three variables were used in the Land Surface Model: precipitation, soil moisture, and surface runoff. The three variables of 6 hours preceding flash flood were reduced to 3 factors through factor analysis. Decision tree, random forest, Naive Bayes, Support Vector Machine, and logistic regression model are considered as big data methods. The prediction performance was evaluated by comparison of Accuracy, Kappa, TP Rate, FP Rate and F-Measure. The best method was suggested based on reproducibility evaluation at the each points of flash flood occurrence and predicted count versus actual count using 4 years data.

Music Intervention for Psychological and Emotional Support of Korean Women: Research Analysis Focusing on a Feminist Perspective (국내 여성 대상 심리정서 지원을 위한 음악중재 연구 분석: 여성주의 관점을 중심으로)

  • Lee, Seong-Kyung;Kim, Aimee Jeehae
    • Journal of Music and Human Behavior
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    • v.15 no.1
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    • pp.69-94
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    • 2018
  • This study was conducted to analyze music therapy studies supporting the psychological and emotional needs of Korean women according to a feminist perspective in music therapy. A total of 34 studies were analyzed by general characteristics, characteristics of the intervention, and characteristics of a feminist perspective. Results showed that the research focus was initially on subjects who suffered from mental illness and that more recently the focus has shifted to include more diverse subjects, such as career women, women who migrate for marriage, and women who study abroad, and to reflect contemporary social issues. In terms of a feminist perspective, the studies were analyzed according to the following themes as the characteristics of a feminist perspective: empowerment, social and political perspectives, cooperativity, egalitarianism, and diversity. Results showed that social and political viewpoints were reflected in the selection of subjects and that empowerment was reflected mostly in the contents of interventions. This study highlights the need to incorporate a feminist perspective in more diversified music therapy practices to bring social changes as well as individual changes for women.

Intervention of Sensory Integration for Adult Patients: A Systematic Review (성인에게 적용된 감각통합 중재에 대한 체계적 고찰)

  • Hong, Cho-Rong;Lee, Sun-Hee;Park, Hae Yean
    • The Journal of Korean Academy of Sensory Integration
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    • v.16 no.1
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    • pp.45-55
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    • 2018
  • Objective : The purpose of this systematic review was to inform intervention of sensory integration in adult patients and to provide evidence regarding occupational therapy. Methods : Studies for this review were collected by searching the Pubmed, Scopus, SAGE Journal, Medline, RISS database for articles from 1980 to 2017, using the following keywords: "(sensory integration OR sensory processing OR sensory integrative OR sensory based OR sensory defensiveness) AND adult" A total of 8 studies were included in the analysis. The selected papers were analyzed by using PICO (Patient, Intervention, Comparison, Outcome) framework. Results : The participants' diagnoses were learning disabilities, intellectual disability, dementia and sensory processing disorder. Assessment tools and intervention methods varied according to the researcher's intent. In most studies, sensory integration intervention was shown to be effective. Conclusion : This study was able to confirm that sensory integration intervention was available and effective for adult patients. This was intended to provide clinical evidence for occupational therapists, and further studies should be conducted to establish the application of sensory integration interventions to adults based on this study.

An Empirical Study on Causal Relationship Between the Degree of Internet Educational Training and Job Satisfaction, Turnover Intention: Training Effect as Mediator (인터넷교육훈련정도가 직무만족과 이직의도에 미치는 영향에 관한 실증 연구: 교육효과를 매개변수로)

  • Lee, Young-Ran;Yang, Dong-Woo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.3
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    • pp.157-167
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    • 2016
  • The purpose of this study is to research, such as the following. And to the empirical results that affect the potential growth factors in the organization and development of human resources through staff training for enterprises to grow into a competitive enterprise. Through the analysis we propose a systematic training of the human resource development needs of the company. The results are as follows. First, the number of courses, the degree completion has had a positive effect on job satisfaction. Second, the number of courses can have a partial mediating effect on financial job satisfaction. Third, corporate education funding ratio has a negative effect and Business support form has a positive effect on turnover intentions. Fourth, the control variables of marital status has a positive effect on psychological job satisfaction and company size had a negative impact on turnover intention. The implications of this study are as follows. Organizational commitment to act as a mediating effect can be maximized through realistic training plan and quality training. There is also a need to be made a high quality education content development through the advancement of learning styles.

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Analysis on the Trend in Customers' Consciousness as Appeared in Wellbeing Trend, LOHAS -Mainly in Food, Clothing, and Shelter Based Websites- (웰빙 트렌드 로하스(LOHAS)에 나타난 소비자 의식 변화에 따른 웹 디자인 발전방향 분석 - 의, 식, 주 웹 사이트를 중심으로 -)

  • Kim, Min-Seo;Chun, Yang-Deok
    • Archives of design research
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    • v.20 no.3 s.71
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    • pp.49-60
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    • 2007
  • As the world is in the age of globalization and information, we observe diverse changes in the market environment. Since wide-spread internet services and global networks made ubiquitous learning and business possible, equalizing consumers' ideology and preference, new trend and life style could be introduced easily. This study stipulates on the theoretical concept of the wellbeing consumer and LOHAS consumer. Consumers of LOHAS could be sampled out through pre-questionnaire targeting at selected food, clothing, and shelter based on companies of both wellbeing and general brands. Through this it is attempted to measure wellbeing emotion, recognition quotient of emotion and reason, affirmation and negation, mental emotion quotient, and preference in order to find out their value and to ultimately come up with what web design should be aiming at. Conclusions are as follows: Firstly, consumers easily recognize emotional identification from the web pages of wellbeing brand, rather than that of general brands. Secondly, what web pages of wellbeing brand recognize is reason, not emotion. Thirdly, the design of wellbeing brands scored higher than those of general brands in terms of positive aspects such as hospitality and familiarity, and high mental emotion quotient could not affect the consumers' preference toward web design. Fourthly, wellbeing brands win more preference than general brands do, and preference becomes higher after customers' visit to web pages basically. Lastly, sampled emotional adjectives toward the web designs of wellbeing brands marked a aesthetic graph figure, without leaning toward an active or stable one. It is expected that this study can serve as a groundwork to create proper strategies to actively involve consumers in industrial sphere.

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