• Title/Summary/Keyword: 학생 수 예측

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Identifuication of College Student's And Teacher's Conceptions for Chemical Equilibrium and Equilibrium Shift (화학평형과 평형이동에 대한 대학생과 교사들의 개념조사)

  • Park, Jong Yun;Park, Hyeon Ju
    • Journal of the Korean Chemical Society
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    • v.46 no.3
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    • pp.265-278
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    • 2002
  • A concept test was administered to college students and teachers to identify their understanding of chemical equilibrium and equilibrium shift. The subjects were 53 freshmen in the General Chemistry class, 28 juniors in the Physical Chemistry class and 26 seniors from a university and 10 high school teachers in Seoul. Test items include the calculations of partial pressure and concentration of the gas in the mixture, the equilibrium constant cal-culation and the prediction of equilibrium shift when an inert gas is added to the gaseous reaction system, and the equilibrium concentration calculation and the prediction of equilibrium shift when water or common ion is added to the weak acid solution. The test was focused to identify whether the subjects can predict equilibrium shift using the reaction quotient change for the situations in which Le Chatelier principle is difficult to apply. The results showed that the achievements of teachers and juniors were significantly higher than those of freshmen and seniors. Many stu-dents had difficulties in predicting equilibrium shift using the reaction quotient while they could calculate partial pres-sure and concentration for the same situation. It means they are lack of conceptual understanding of chemical equilibrium shift.

Proposal of a Hypothesis Test Prediction System for Educational Social Precepts using Deep Learning Models

  • Choi, Su-Youn;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.37-44
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    • 2020
  • AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

A Study on the Reduction of Proportion Enterance Quota (대학 충원률 감소 요인 연구)

  • Lee, Jiyeon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.503-506
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    • 2022
  • The absolute decreasing in the school-age population due to the low fertility rate that has lasted for more than 20 years is a result of the lack of filling in universities. The lack of filling in general universities is more serious in universities of local area than universities in the metropolitan area, and in two-year junior colleges rather than general universities. The purpose of this study is to how the highschool grading system and university rankings have an effect on the lack of filling enterance quota for new students.

Assessment of Pass Prediction of Radiologist's license on Academic Achievement through Health law Courses of 3rd Year Students in Radiology Department of College(Focus on D Health College) (전문대학교 방사선과 3학년 학생들의 보건법규학업성취도에 관한 방사선사면허 합격예측평가(D 보건 전문대학 중심으로))

  • Jung, Hong-moon;Lee, Joon-il;park, Hyong-hu;won, Do-yeon;Jung, Jae-eun
    • Journal of the Korean Society of Radiology
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    • v.12 no.4
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    • pp.533-539
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    • 2018
  • The National Competency Standard (NCS) is being implemented on the basis of a college of higher education. The college offers intensive education by organizing three areas of knowledge, skills and attitudes so that students can perform their full capacity at the same time as graduating in industrial field. Health Department at the College has been training for a variety of medical personnel, including medical technician regions. Especially, the medical technician and medical sector must be licensed to work in the medical field. Therefore, passing the national examination license is a prerequisite for employment. In this study, the health law scores of the third grade students (about 200 students) of the radiology department of D College were analyzed at weekly intervals. The weekly score acquisition can be predict the pattern of student class achievement of individual students. Furthermore, these results can predict the possibility of passing the radiation license examination for individual students.

Factors that Influence Nursing Image Perceived by College Students (일 지역 대학생이 지각한 바람직한 간호이미지에 미치는 영향요인 연구)

  • Park, Kyung-Ae;Song, Mi-Ryung
    • Journal of Korean Academy of Nursing
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    • v.31 no.4
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    • pp.584-597
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    • 2001
  • 목적: 간호전문직 위상정립에 영향을 미치는 간호 이미지에 관해 대학생을 대상으로 그들이 지각하는 간호이미지와 바람직한 간호자질을 조사하여 전문직 간호사로서의 이미지 형성을 위한 기초자료로 제공하기 위함이다. 연구방법: 본 연구는 N.시에 있는 1개 대학교의 간호학생 92명과 일반학생 100명으로 총 192명을 대상으로 설문지를 이용한 서술연구이다. 연구결과: 대상자의 일반적 특성에 따른 간호 이미지정도를 살펴보면, 비간호학생군(A군)에서는 영화나 TV를 통해서 간호 이미지가 형성된 것보다는 그렇지 않은 경우가 통계적으로 유의하게 높은 것으로 나타났고(F=4.81, p=.03), 신문이나 잡지에서는 의사의 보조역할로 비춰진 것이 통계적으로 유의한 것으로 니타났다(F=3.41, p=.01). 반면에 간호학생군(B군)은10%유의수준에서 통계적으로 유의한 결과는 간호사와 간호조무사를 복장이나 행동을 보고 구분할 수 있는 것으로 나타났다(F=2.25, p=.06). 대상자의 일반적 특성에 따른 간호사 자질정도를 보면, 두 군 모두 통계적으로 유의한 차이를 보이지 않았다. 간호이미지와 간호사 자질간의 상관관계에서는 r=.720(p=.000)으로 높은 순 상관관계를 보임을 알 수 있었다. 간호 이미지에 영향을 미치는 가장 중요한 예측변인은 간호사 자질로 52% 설명할 수 있었으며, 여기에 영화나 TV를 통해 형성된 경우를 추가하면 54%, 간호학생인 경우를 추가하면 총 56%로 간호 이미지를 설명할 수 있는 것으로 나타났다. 결론: 연구결과를 토대로 다음과 같은 제언을 할 수 있겠다. 1. 간호 대학생들이 긍정적인 간호 이미지를 경험하도록 올바른 윤리와 간호전문성을 정립할 수 있는 교육 프로그램 개발이 필요하다. 2. 간호사 이미지 향상을 위한 대중매체의 활용전략에 대한 연구가 필요할 것으로 사료된다.

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Convergence Related Factors and HPV Vaccination Intention for Mothers with Children Elementary School (초등학생 자녀를 둔 어머니의 HPV 백신 접종의도와 융복합적 관련요인)

  • Oh, Yun Jeong;Lee, Eun Mi
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.311-319
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    • 2018
  • This research attempted to identify the factors associated with the intention of human papilloma virus vaccination among mothers of elementary school daughters. The subject of study is 132 mothers of elementary school students. Data collection was conducted from July 1 to August 30 in 2017, and analyzed using SPSS 23.0 Program. Results showed that 94.7% children of the participants had not been vaccinated, whose reasons were the low knowledge about HPV vaccination, concerns about its side effects, burden for cost. The attitude toward HPV vaccination appeared to be the most important predictor of vaccination, which was followed by perceived behavior control and subjective norm as meaningful predictors, as well. Based on these results, further researches should be conducted to develop educational programs, which are able to offer exact information about the effect and side effect of HPV vaccination, and verify the effectiveness.

K-Nearest Neighbor Course Recommender System using Collaborative Filtering (협동적 필터링을 이용한 K-최근접 이웃 수강 과목 추천 시스템)

  • Sohn, Ki-Rack;Kim, So-Hyun
    • Journal of The Korean Association of Information Education
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    • v.11 no.3
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    • pp.281-288
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    • 2007
  • Collaborative filtering is a method to predict preference items of a user based on the evaluations of items provided by others with similar preferences. Collaborative filtering helps general people make smart decisions in today's information society where information can be easily accumulated and analyzed. We designed, implemented, and evaluated a course recommendation system experimentally. This system can help university students choose courses they prefer to. Firstly, the system needs to collect the course preferences from students and store in a database. Users showing similar preference patterns are considered into similar groups. We use Pearson correlation as a similarity measure. We select K-nearest students to predict the unknown preferences of the student and provide a ranked list of courses based on the course preferences of K-nearest students. We evaluated the accuracy of the recommendation by computing the mean absolute errors of predictions using a survey on the course preferences of students.

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A study on the correlation between mathematics anxiety and mathematics achievement in high school students (고등학생의 수학성취와 수학불안 간의 상관연구)

  • Lew, Kyounghoon;Hwang, Sunwook
    • The Mathematical Education
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    • v.58 no.3
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    • pp.337-346
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    • 2019
  • The purpose of this paper is to investigate the differences of the mathematics anxiety and mathematical achievement of high school students according to gender and grade, and to find out which mathematics anxiety causes have more influence on mathematical achievement and how much it is. The subjects of this study consist of 459 students selected for a class of unit, in high schools located in Seoul, Korea. Huh(1996)'s Mathematics Anxiety Scale was used. The collected data were analyzed by using the 24.0 SPSS program. The data were also tested by using the t-test, correlation and multiple regression. The major results of this study were as follows: Firstly, there was no difference in mathematics score according to gender, but mathematics anxiety was higher in girl students. Mathematics score and mathematics anxiety have significantly related each other. Boy students' mathematics scores were significantly explained by interest, Mathematical Achievement factor, and mathematical confidence factor. For girl students, mathematics achievement factor, interest were the significant predictors. Secondly, mathematical anxiety and mathematics scores were correlated in the first and third grades, and the variables that predict mathematics scores significantly in all grades were interest.

A Study on the Linear Function using Graphing Calculator and CBL - A Case Study Focused on Mathematics Education for the Gifted - (그래핑 계산기와 CBL을 활용한 1차 함수 탐구 - 초등 영재아를 중심으로 한 사례연구 -)

  • Lee, Heon-Soo;Park, Jong-Youll;Lee, Kwang-Ho
    • Journal of the Korean School Mathematics Society
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    • v.12 no.3
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    • pp.347-364
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    • 2009
  • In this paper, the researchers investigated the influence of graphing calculator in learning the concept of linear function for the gifted students. Elementary students who were taking a course in enrichment mathematics at Science Education Institute for the Gifted in Mokpo National University were selected for this study. The researchers analyzed students' processes of mathematical inference and conjecture, and students' algebraic description. We found the facts that the visualization using a graphing calculator and CBL is helpful to the gifted students in understanding concepts of liner function, finding the relationship between variables, analyzing and presupposing of graph. But, using graphing calculator can be a factor that disturbs learning of students who have too much of curiosity on graphing calculator.

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A Study on High School Students' Perceptions of the Department of Library & Information Science (고등학교 학생의 문헌정보학과에 대한 인식조사 연구)

  • Noh, Younghee
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.4
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    • pp.5-30
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    • 2015
  • This study was conducted to raise awareness of careers in the Department of Library and Information Science (LIS) as well as to investigate current awareness and preferences for LIS Department as a strategy to cope with the rapidly changing university environment. To do this, a survey of high school students was carried out, with results as follows: First, awareness about the LIS Department and awareness about librarians in our country's high school students was very low. Second, for possible careers in LIS Department, students responded that a graduate of LIS department was likely to enter the workplace in public libraries, state libraries, university libraries, or school libraries, but they would like to work at broadcasting library, national libraries, school libraries, university libraries, public libraries, or portals. Third, awareness of the career path for the LIS Department showed a very large impact on a preference for the LIS Department. Therefore, students who have heard about the LIS Department are highly probable to select this department when they reach university.