• Title/Summary/Keyword: 우수학력 수준

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The Characteristics of Middle School Mathematics Achievement Levels Based on the Results of the National Assessment of Educational Achievement from 2010 to 2012 (2010-2012년 국가수준 학업성취도 평가 결과에 나타난 중학교 수학과 성취수준별 학업성취 특성)

  • Lee, Kwang Sang;Jo, Yun Dong
    • School Mathematics
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    • v.16 no.2
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    • pp.237-257
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    • 2014
  • The purpose of this study is to investigate the academic achievement characteristics in terms of proficiency levels through the in-depth analysis of mathematics test items and achievement standards of the National Assessment of Educational Achievement(NAEA) from 2010 to 2012, and to provide suggestions for teaching and assessing mathematics in middle schools. The results showed that 'Advanced level' students could fully understand the concept of mathematical terms and symbols as well as various mathematical properties presented in the national curriculum. However, 'Proficient level' students tended to feel difficult to apply linear function, properties of a plane figure, and a solid figure, while 'Basic level' students seemed to have trouble solving mathematical problems in almost all areas. Thus, it is necessary to identify the mathematical misconceptions that students have and to strengthen teaching, particularly, the areas of number and operation.

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Development of a Resignation Prediction Model using HR Data (HR 데이터 기반의 퇴사 예측 모델 개발)

  • PARK, YUNJUNG;Lee, Do-Gil
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.297-300
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    • 2021
  • 대부분의 기업에서는 우수한 인적 자원의 유출을 방지하기 위해 직원들이 이직 및 퇴사하는 이유를 연구한다. 이에 기업은 직원이 퇴사하기 전에 면담을 하거나 설문조사를 통해서 연구에 필요한 데이터를 얻는다. 하지만 설문조사에서는 직원들이 직장 생활을 하는 데에 불리할 수도 있는 의견을 드러내려고 하지 않아 정확한 결과를 얻기 힘든 것이 현실이다. 한편, 한국노동연구원에서 발표한 자료에 따르면 기업이 요구하는 최소 학력 수준과 직원의 학력 수준 간의 차이가 클수록 이직 경향이 커진다. 따라서 본 연구에서는 한국노동연구원의 자료에 착안하여, 직원이 가지고 있는 객관적 데이터인 전공, 교육수준, 재직 중인 회사 유형 등의 데이터를 기반으로 직원의 퇴사 여부를 예측하고자 한다. 퇴사 예측 모델을 생성하기 위해 Decision Tree, XGBoost, kNN, SVM을 활용하였으며 각각의 성능을 비교했다. 이 결과, 지금까지 설문조사로 진행되었던 연구에서 파악하지 못한 다양한 요인을 알아낼 수 있었다. 이를 통해 기업이 퇴사 예측 모델을 이용하여 직원이 퇴사하기 전에 미리 이를 인지하고 방지하는 데에 도움을 줄 수 있을 것으로 예상된다.

Trend Analysis of Students' Science Achievement in National Assessment of Educational Achievement from 2003 to 2006 ($2003{\sim}2006$년 국가수준 과학과 학업성취도 변화 추이 분석)

  • Jeong, Eun-Young;Choi, Won-Ho
    • Journal of The Korean Association For Science Education
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    • v.28 no.5
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    • pp.438-452
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    • 2008
  • The purposes of National Assessment of Educational Achievement(NAEA) are to assess Korean students' achievement of the educational goals as well as to diagnose the trends of educational achievement in order to monitor the quality of education at the national level. We analysed average scores in science achievement and trend of achievement level at the National Assessment of Educational Achievement(NAEA) from the year 2003 to 2006 for 6th, 9th and 10th graders. The results are as follows: For grades 6, 9, and 10, the average scores of NAEA did not tend to increase or decrease. About the trend analysis of gender, females outperformed males for grade 6, but males outperformed females for grade 10. For grade 6, the ratio of females in Advanced level was more than that of the males in the same level. For grades 9 and 10, the ratio of male was higher than the females. For grades 6, 9 and 10, the ratio of males in Below-Basic level was more than that of females in the same level. The results of the educational achievement of urbanization shows that students in rural area scored the lowest. And the ratio of Below-basic level students was highest in rural area. It is needed that educational surroundings be improved to lessen the score difference both between genders and regions. An additional study is needed to used the results of NAEA for the improvement of curriculum and educational policy.

Analysis on the achievement characteristics of the students of multicultural and North Korean migrant families by school classes in 2011 National Assessment Educational Achievement (2011년 수학과 국가수준 학업성취도 평가에서 나타난 다문화.탈북 가정 학생의 학교급별 성취 특성 분석)

  • Jo, Yun Dong;Kang, Eun Joo;Ko, Ho Kyoung
    • School Mathematics
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    • v.15 no.1
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    • pp.179-199
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    • 2013
  • In this study we grasp what contents in the mathematics curriculum the students of multicultural and North Korean migrant families are vulnerable to and we would like to provide the bases to devise the appropriate teaching and learning methods for them. In order to this work we used the results of 2011 National Assessment Educational Achievement. We categorized students from multicultural and North Korean migrant families into children from international marriage family (born in country or immigrated), foreign family, and North Korean migrant family and compared each category with the whole students. First, for each school class we analyzed characteristics of academic achievement by ratio of achievement level, means of calibrated score, and percentages of correct answers in NAEA, mean percentages of correct answers by content domains, and percentages of correct answers by items. In addition to these we analysed items qualitatively and investigated study conditions in which the students of multicultural and North Korean migrant families have difficult times. In every subgroup the more ratio of advanced level decreases and ratio of below basic level increases the more school classes go up. Also these phenomena appear differently by each group and by content domain. For this reason by group, the supporting on learning will be needed.

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Development of a Resignation Prediction Model using HR Data (HR 데이터 기반의 퇴사 예측 모델 개발)

  • PARK, YUNJUNG;Lee, Do-Gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.100-103
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    • 2021
  • Most companies study why employees resign their jobs to prevent the outflow of excellent human resources. To obtain the data needed for the study, employees are interviewed or surveyed before resignation. However, it is difficult to get accurate results because employees do not want to express their opinions that may be disadvantageous to working in a survey. Meanwhile, according to the data released by the Korea Labor Institute, the greater the difference between the minimum level of education required by companies and the level of employees' academic background, the greater the tendency to resign jobs. Therefore, based on these data, in this study, we would like to predict whether employees will leave the company based on data such as major, education level and company type. We generate four kinds of resignation prediction models using Decision Tree, XGBoost, kNN and SVM, and compared their respective performance. As a result, we could identify various factors that were not covered in previous study. It is expected that the resignation prediction model help companies recognize employees who intend to leave the company in advance.

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Gender Differences in mathematics-related attitudes in National Assessment of Educational Achievement (국가수준 학업성취도 평가에서 나타난 초.중.고등학생의 수학에 대한 태도의 성차 분석)

  • Lee, Bong-Ju;Song, Mi-Young
    • Journal of the Korean School Mathematics Society
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    • v.14 no.1
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    • pp.65-84
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    • 2011
  • The purpose of this research is to draw some implications for reducing gender differences in educational achievement of mathematics by inquiring those in mathematics-related attitudes. For this purpose, this article analyzed the gender difference in mathematics-related attitudes of the elementary, middle, and high school students. Also, mathematics-related attitudes according to achievement levels was analyzed. The findings of this study are as follows. Firstly, in the scores on mathematics-related attitudes, male students were significantly higher than those of female students. Secondly, in the evaluation of the subordinate factors of mathematics-related attitudes, gender differences were shown a little bit larger in the areas of interest and self confidence than in the area of perception of mathematics value regardless of grades. Thirdly, in all schools, the higher achievement level is, the higher the score of mathematics-related attitudes is. Lastly, gender differences on mathematics-related attitudes in advanced level group is bigger than those in other level groups.

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Gender Differences among 9th Grade Students in Academic Achievement in the Science (중학교 3학년 학생들의 과학과 학업성취도의 성별차이)

  • Kim, Hyun-Kyung
    • Journal of the Korean Chemical Society
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    • v.57 no.1
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    • pp.138-146
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    • 2013
  • This study examined the characteristics of the National Assessment of Educational Achievement (NAEA) in Science according to gender. It investigated gender achievement differences in the science section of the 2010 NAEA, the ratio of gender difference in achievement, the ratio of correct answers within each content domain and behavioral domain, and the items which showed high differences between males and females. The results indicate first, that, for 9th graders, females outperformed males in academic achievement in science. Second, with respect to the ratio of correct answers, males outperformed females in the advanced and below basic level groups, but females outperformed males in intermediate level groups. Third, females outperformed males in knowledge and inquiry in the behavior domains, and in chemistry and biology in the content domains. Fourth, an analysis of the items showing the largest gender gap indicated that males outperformed females in interpreting data, while females outperformed males in the items concerned with daily life and items related to the memorization of rules. This research on gender differences in science will allow teachers to complement the weaknesses of students when they study science, and support improved instructional methods in science.

The Analysis of Students' Mathematics Achievement by Applying Cognitive Diagnostic Model (인지진단모형을 활용한 수학 학업성취 결과 분석 -2011년 국가수준 학업성취도 평가 자료를 중심으로-)

  • Kim, HeeKyoung;Kim, Bumi
    • School Mathematics
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    • v.15 no.2
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    • pp.289-314
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    • 2013
  • Achievement profile by attribute in Korean students' mathematics was analyzed by applying cognitive diagnostic model, which is the newest measurement theory, to 2011 NAEA(National Assessment of Educational Assessment) results. The results are as follows. As the level of school is higher from 6th grade, 9th grade to 11th grade, the percentage of students mastering cognitive attribute 9(expressions using picture, table, graph, formula, symbol, writing, etc) drastically declined from 78%, 35% to 26%. It is necessary to have learning strategies to reinforce their abilities of expressing table, graph, etc. that higher graders in mathematics are more vulnerable to. Next, the property of mastering cognitive attributes according to gender, multi-cultural family was analyzed. In terms of mathematics, the percentage of girls mastering most of the attribute generally is higher than that of boys from 6th grade to 9th grade, however, boys show higher mastery in almost attributes than girls in the 11th grade. Compared to boys, the part where girls have the most trouble is attribute 9 in mathematics(expressions using picture, table, graph, formula, symbol, writing, etc). As international marriage, influx of foreign workers, etc. increase, the number of students from Korea's multi-cultural families is expected to be higher, therefore, identifying the characteristics of their educational achievement is significant in reinforcing Korea's basic achievement. In mathematics, gap of mastery level of attributes between multi-cultural group and ordinary group is more severe in higher grade and the type of multi-cultural group that needs supports for improving achievement most urgently changed in 6th grade, 9th grade and 11th grade respectively. In the 6th and 11th grade, migrant students from North Korea show the lowest level of mastering attributes, however, in the 9th grade, the mastery rate of immigrant students is lowest. Therefore, there is an implication that supporting plans for improving achievement of students from multi-cultural family should establish other strategies based on the characteristics of school level.

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A Study on the Achievement of Tutoring using R (분석도구 R을 활용한 튜터링 성취도 연구)

  • Lee, Hyung-Mook
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.249-250
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    • 2016
  • 본 연구에서는 데이터 분석도구인 R을 활용하여 튜터링 학습법 참여 학생의 성취도를 검증하였다. 분석도구 R은 대용량 데이터의 고급 분석과 통계 계산을 위한 스크립트 언어로 빅데이터의 자료 분석에 다양하게 활용되고 있다. 대학의 학습 활동 측면에서의 튜터링 학습법은 학습 능력이 우수한 선배 또는 동료인 튜터와 학습 받고자하는 튜티가 1:1 또는 1:N의 관계를 이루고 학습 활동을 진행해 나가는 과정이다. 튜터링 학습법 운영 후 실시하는 참여 학생 만족도 조사 결과에 의하여 튜터링 학습법이 학력 수준 차이를 극복하는데 도움이 되고 있다는 정성적인 근거는 있으나 정량적인 분석 연구는 부족한 실정이다. 이에 본 연구에서는 튜터링 학습법에 참여한 공학정보학부 튜티들의 성적 결과를 분석도구 R을 활용하여 분석하여 튜터링 학습법이 학업성취도에 긍정적 영향을 미치는 것을 검증하였다.

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An Analysis of 2012 Korean Youth Health Risk Behavior On-line Survey Data for Exploring Physical Health Determinants of High School Students (고등학생의 신체적 건강 영향요인 규명을 위한 청소년 건강행태 온라인조사 자료 분석)

  • Lee, Hong-Jik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.1
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    • pp.117-124
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    • 2015
  • This study explored the determinant variables of physical health of the high school students in Korea. Specifically, it explored how the sociodemographic characteristics factor, school factor, delinquent behaviors factor of the students affect their physical health using the 2012 Korean Youth Health Risk Behavior On-line Survey. Using the case of 36,889, this study conducted frequency analysis, t-test, F-test, and multiple regression analysis. As the result of total multiple regression analysis, gender, father's educational level, sibling(s), economic status, grade, academic record, problem drinking, drug use were statistically significant determinant variables of physical health of the high school students in Korea. Also, it delivered some implications for enhancing their physical health.