• Title/Summary/Keyword: 전공과목

Search Result 99, Processing Time 0.023 seconds

경영정보학과 교과과정에 있어서 교수와 실무자간의 인식 차이에 관한 연구

  • 김영문;유상진
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.1 no.1
    • /
    • pp.128-152
    • /
    • 1996
  • 본 연구는 4년제 대학의 경영정보학과에서 개설해야 할 전공과목에 있어서 교수와 현업의 실무자간에 어떠한 인식의 차이가 있는가에 대하여 연구하였다. 특히 경영정보학과에서 개설해야 하는 전공과목의 우선순위, 전공구분(전공필수와 전공선택), 그리고 개설학년에 있어서 교수와 실무자간의 어느 정도의 인식 차이가 있는가에 대하여 실증적으로조사하였다. 이러한 연구의 목적을 달성하기 위하여 본 연구에서는 첫째로 경영정보학분야의 교과과정에 관한 기존의 연구에 대하여 간략하게 살펴보았다. 둘째, 연구 방법으로서 조사대상, 자료의 수집방법, 연구가설, 그리고 자료의 분석방법에 관하여 언급하였다. 셋째, 연구결과로서 표본의 특성, 주요 전공과목의 학년 및 전공별 분류, 그리고 가설검정의 결과에 대하여 구체적으로 논하였다. 특히 연구가설은 (1)전공과목의 우선순위에 관한가설, (2) 전공과목의 구분(전공필수, 전공선택)에 관한 가설, 그리고 (3) 전공과목의 개설학년에 관한 가설로 세분하여 구체적으로 검정하였다. 끝으로 , 본 연구의 결과를 요약하였고 향후 연구방향에 대하여 언급하였다.

  • PDF

대학 학사관리 시스템의 설계 및 구현 - 과목 연계 및 검색 시스템 -

  • Kim, Hak-Hui;Lee, Gi-Dong;Park, Jeong-Hui
    • 한국디지털정책학회:학술대회논문집
    • /
    • 2004.05a
    • /
    • pp.561-573
    • /
    • 2004
  • 본 시스템은 대학에 맞는 전공과목 연계 및 검색 시스템을 설계하고 구현하는데 목적을 두었다. 우선 웹 상에서 전공과목 검색이 가능하도록 구현하여 사용자 (user)가 전공선택의 편의를 도모하고, 관리자가 유지보수가 용이하도록 하여 대학교육환경 변화에 즉시 대응할 수 있도록 하기 위해 최대한 동적인 문서가 되도록 하였다. 또한 본 시스템은 각 대학의 운영방침에 맞는 시스템을 개발하고 관리자가 향후에 갱신이 용이하도록 하였다. 본 시스템은 ASP를 이용한 전공과목 연계 및 검색 시스템을 기능면에 중점을 두고 설계하였다. 시스템에 메인화면을 두어 사용자 및 관리자 화면을 두어 구성하였다. 사용자는 검색을 통해 관련과목에 대한 정보와 인접과목에 대한 정보를 동적으로 정확하게 받을 수 있게 하였고, 관리자는 로그인 화면을 통해 인증을 받도록 하여 데이터베이스에 대한 관리기능을 가질 수 있게 하였다.

  • PDF

Recommendation System of University Major Subject based on Deep Reinforcement Learning (심층 강화학습 기반의 대학 전공과목 추천 시스템)

  • Ducsun Lim;Youn-A Min;Dongkyun Lim
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.23 no.4
    • /
    • pp.9-15
    • /
    • 2023
  • Existing simple statistics-based recommendation systems rely solely on students' course enrollment history data, making it difficult to identify classes that match students' preferences. To address this issue, this study proposes a personalized major subject recommendation system based on deep reinforcement learning (DRL). This system gauges the similarity between students based on structured data, such as the student's department, grade level, and course history. Based on this information, it recommends the most suitable major subjects by comprehensively considering information about each available major subject and evaluations of the student's courses. We confirmed that this DRL-based recommendation system provides useful insights for university students while selecting their major subjects, and our simulation results indicate that it outperforms conventional statistics-based recommendation systems by approximately 20%. In light of these results, we propose a new system that offers personalized subject recommendations by incorporating students' course evaluations. This system is expected to assist students significantly in finding major subjects that align with their preferences and academic goals.

A Study on Selection Alternatives of Basic and Major Couses for College Students (대학생들의 교양.전공과목 선택 경향에 대한 연구)

  • 박노국
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.6 no.1
    • /
    • pp.48-55
    • /
    • 2001
  • The survey was carried out for the student sin colleges of SangJi University for analyzing the parameters affecting the selection of ones cultural studies and major subjects. The number of respondents was 204, and the responses were computer-processed utilizing Excel and statistical software SPSS. The attributes of main factors were composed of House of Quality(HOQ) that is basic matrix of Quality Function Development. From the survey analysis, selection criteria for ones cultural studies and major subjects are as follows. In selecting ones cultural studies, teaching methodology is the most important factor than assignment, the percentage of attendance and academic credit. And in case of major subjects, no other factors than the recommendation by seniors were significantly affected ones subject selection.

  • PDF

A Study the Relationship between Tutoring Experience and the Achievement in Major Subjects using R (분석도구 R을 활용한 튜터링 학습 경험과 전공교과 성취도 간의 관계 연구)

  • Lee, Hyung-Mook
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2017.07a
    • /
    • pp.354-355
    • /
    • 2017
  • 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. 지난 연구에서는 튜터링 학습법에 참여한 학생들의 학업 성취도가 튜터링 학습법에 참여하지 않은 일반 학생들의 학업 성취도 보다 얼마나 높은지 정량적 값을 도출했었다. 본 연구에서는 튜터링 학습법에 참여했던 학생들의 튜터링 참여 과목 이외 다른 전공과목의 성적 성취도를 분석도구 R을 이용하여 분석해 봄으로써 튜터링 학습법 참여 경험이 튜터링을 실시하지 않은 다른 전공과목의 학업 성취도에 영향을 미치고 있는지 분석하였다.

  • PDF

The Operation of Home Economics Education Course in Graduate School of Education and the Graduate Students' Perception (서울소재 교육대학원 가정교육전공 교육과정에 대한 운영실태와 교육대학원생의 인식)

  • Lee, Seon-Jung;Shin, Hye-Won
    • Journal of Korean Home Economics Education Association
    • /
    • v.20 no.4
    • /
    • pp.173-186
    • /
    • 2008
  • This study aimed to examine the operation of the Home Economics education courses in the graduate schools of education, and to find out how graduate students perceive them. Data were collected with the use of handbooks issued by 11 graduate schools of education located in Seoul, and through telephone conversations with the administrative staff. To determine how graduate students majoring in Home Economics perceive their Home Economics courses, a survey was conducted among the graduate students in 10 graduate schools of education, and a total of 131 accomplished questionnaires were used for data analysis. The results of the study are as follows. First, all 11 graduate schools aimed to retrain their teachers, enhance their professionalism, and produce home economics education experts. The Home Economics Education courses come in two strands; a teacher's course and a major course. Most of the schools require a total of 30 credits. All Schools lack professors. Only 3 graduate schools have a home Economics Department in the College of Education. All graduate schools are offering a teacher's course based on a teacher's certification system. In a major course, Home Economics education has the largest number of subjects, with Clothing and Textiles and Food and Nutrition being given greater emphasis, and Consumer Economics, Home Economics Management, Child Care, and Family and Housing Studies being given less emphasis. Second, they mostly regard the graduate school of education as producer of experts, followed by producers of teachers and teacher re-trainers. Those who were majoring in Home Economics Education in college, and the teachers, are more interested in teacher re-training, while the non-teachers and those who were not majoring in Home Economics Education are more interested in producing teachers. They are less satisfied with the operation of the graduate school of education. But they are generally satisfied with the Home Economics Education course. Graduate students registered the lowest satisfaction with a major course, especially experimental subjects. For a teacher's course, the graduate students who are not teachers exhibited higher satisfaction, whereas the teachers showed lower satisfaction. But teachers registered more satisfaction with the practical use of major subjects in the educational field, thinking that their major was a big help in their work at a school. As for what has to be improved with regard to the Home Economics Education course, many cited the necessity of securing a good faculty and expanding the major subjects.

  • PDF

Relationships among Students' 3rd Year High School Characteristics, College English-mediated Subject Courses, Career Decision Type, and Employment Status (대학에서의 전공영어강의 수강 경험, 고등학교 3학년 때의 경험, 고3 때의 특성, 대학에서의 영어전용 전공강좌 수강경험, 진로결정 유형과 고용상태와의 관계 탐색)

  • Park, Hye-Sook
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.6
    • /
    • pp.442-452
    • /
    • 2014
  • Using the 1st and 7th waves of KEEP(Korea Education and Employment Panel), this study explores the relationships among 212 participants' characteristics during high school, experience of taking English-mediated subject courses(EMSC) during college, career decision types, and employment status. These students' high school experiences and college experiences were used to predict the log-odds of taking and the understanding EMSC. Results of the analysis showed that none of high school characteristics such as career decision, English private education experience, interest in English, and their scholastic aptitude test score in English were associated with taking and understanding EMSC. Among college experience variables, only female students' level of understanding English subject courses was statistically significantly higher than that of male students. There were statistically significant positive associations between the understanding the EMSC and the number of the EMSC taken and also between the understanding of the EMSC and perceived usefulness of the EMSC. There was also a statistically significant relationship between career types (continuing with graduate studies vs. working) and taking EMSC, but the relationship between career types and understanding the EMSC was not statistically significant. In addition, the relationship between the experience of taking EMSC and employment status was not statistically significant.