• Title/Summary/Keyword: 학사정보

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The effects of e-learning characteristics on e-learner's scholastic performance (이러닝 특성이 학습자의 학업성과에 미치는 영향에 관한 연구)

  • Lee, Heon-Chul;Goo, Bon-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.5
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    • pp.201-209
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    • 2009
  • RThe main object of this study is to stipulate the relation between e-learning characteristics and e-learner's scholastic performance through the integrated study model of perspective of educational technology and information technology. Using e-learning system quality, e-learning contents characteristics and interaction as independent variable, e-learner's scholastic performance as dependent variable and learning motivation as mediator, this study has examined the relationship among these variables. Two hundreds and twelve undergraduates in cyber university participated in the survey and filled out questionnaires related to this study. The main results are as followed. First, content's quality, technical quality and the support of school affairs have a significant effect on the e-learner's scholastic performance. Second, Learning motivation plays a partial mediating role in the relationship between e-learning characteristics and e-learner's scholastic performance. The meaningful implication of this study is that to improve e-learner's scholastic performance, we have to offer e-learners more customized various learning plans, learning contents and interaction between e-learners and e-learning systems.

Analysis of Perceptions of Student Start-up Policies in Science and Technology Colleges: Focusing on the KAIST case (과기특성화대학 학생창업정책에 대한 인식분석: KAIST 사례를 중심으로)

  • Tae-Uk Ahn;Chun-Ryol Ryu;Minjung Baek
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.2
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    • pp.197-214
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    • 2024
  • This study aimed to investigate students' perceptions at science and technology specialized universities towards entrepreneurship support policies and to derive policy improvement measures by applying a bottom-up approach to reflect the requirements of the policy beneficiaries, i.e., the students. Specifically, the research explored effective execution strategies for student entrepreneurship support policies through a survey and analysis of KAIST students. The findings revealed that KAIST students recognize the urgent need for improvement in sharing policy objectives with the student entrepreneurship field, reflecting the opinions of the campus entrepreneurship scene in policy formulation, and constructing an entrepreneurship-friendly academic system for nurturing student entrepreneurs. Additionally, there was a highlighted need for enhancement in the capacity of implementing agencies, as well as in marketing and market development capabilities, and organizational management and practical skills as entrepreneurs within the educational curriculum. Consequently, this study proposes the following improvement measures: First, it calls for enhanced transparency and accessibility of entrepreneurship support policies, ensuring students clearly understand policy objectives and can easily access information. Second, it advocates for student-centered policy development, where students' opinions are actively incorporated to devise customized policies that consider their needs and the actual entrepreneurship environment. Third, there is a demand for improving entrepreneurship-friendly academic systems, encouraging more active participation in entrepreneurship activities by adopting or refining academic policies that recognize entrepreneurship activities as credits or expand entrepreneurship-related courses. Based on these results, it is expected that this research will provide valuable foundational data to actively support student entrepreneurship in science and technology specialized universities, foster an entrepreneurial spirit, and contribute to the creation of an innovation-driven entrepreneurship ecosystem that contributes to technological innovation and social value creation.

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Everyday Life Information Behaviors of College Students on Online Communities: A Case Study of Everytime (온라인 커뮤니티 에브리타임을 통한 대학생의 일상정보 이용행태에 관한 연구)

  • Choe, Sinae;Oh, Sanghee
    • Journal of Korean Library and Information Science Society
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    • v.52 no.3
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    • pp.239-266
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    • 2021
  • This study aimed to analyze the usage behaviors of university students seeking and sharing everyday life information through an online community called Everytime. The study was designed based on everyday life information-seeking and activity theory models, and students from various universities were interviewed using a qualitative research method. Findings showed that Everytime users perceive Everytime as a valuable online community for pursuing and sharing everyday life information. It was primarily used to search for university life information, such as academic calendar, class, and graduation, and health, restaurants, and housing. In the case of the freshmen and sophomores who entered during the COVID-19 pandemic, their dependence on Everytime was high, and juniors and seniors who experienced university life before COVID-19 also responded that Everytime is one of the essential sources of information in university life. Although Everytime provides quick and valuable information, users mentioned the moral hazard as a major factor hindering the active use of Everytime. The results of this study are expected to be used as primary data for informatics research on the online community of college students and the development and operation of online communities for university students.

Degree Programs in Data Science at the School of Information in the States (미국 정보 대학의 데이터사이언스 학위 현황 연구)

  • Park, Hyoungjoo
    • Journal of Korean Library and Information Science Society
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    • v.53 no.2
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    • pp.305-332
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    • 2022
  • This preliminary study examined the degree programs in data science at the School of Information in the States. The focus of this study was the data science degrees offered at the School of Information awarded by the 64 Library and Information Science (LIS) programs accredited by the American Library Association (ALA) in 2022. In addition, this study examined the degrees, majors, minors, specialized tracks, and certificates in data science, as well as the potential careers after earning a data science degree. Overall, eight Schools of Information (iSchools) offered 12 data science degrees. Data science courses at the School of Information focus on topics such as introduction to data science, information retrieval, data mining, database, data and humanities, machine learning, metadata, research methods, data analysis and visualization, internship/capstone, ethics and security, user, policy, and curation and management. Most schools did not offer traditional LIS courses. After earning the data science degree in the School of Information, the potential careers included data scientists, data engineers and data analysts. The researcher hopes the findings of this study can be used as a starting point to discuss the directions of data science programs from the perspectives of the information field, specifically the degrees, majors, minors, specialized tracks and certificates in data science.

Data Science Degree and Curriculum in Korea and its Implications for the Information Field (국내 데이터사이언스 학위 및 교과 운영 현황과 문헌정보학과로의 함의)

  • Park, Hyoungjoo;Lee, Heejin
    • Journal of Korean Library and Information Science Society
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    • v.53 no.3
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    • pp.431-454
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    • 2022
  • This study examined data science degree programs and courses offered by universities, and those offered by the Library and Information Science (LIS) degree programs, to understand its implications for the LIS programs in Korea. This research assessed the status of data science degrees from 439 schools using the list released by the Korea Educational Development Institute in 2022. To be specific, this study analyzed universities, colleges, majors, sub-majors, interdisciplinary majors, convergence majors, micro-degrees, nanodegrees, tracks, modules, and industry-university cooperative programs within the data science field. This research examined 1,148 courses offered by data science degree programs and 1,325 courses offered by LIS degree programs. Data science degrees in Korea offer courses such as introductory, technical, practical, applied, and in-depth subjects related to data science. Although the LIS programs in Korea do not always offer data science, the courses included topics such as the introduction to data science, database, data visualization, data curation, metadata, big data, and information technology, when courses were offered. The researchers hope the findings of this study will be useful as a starting point for the development and revisions of LIS curriculum on data science in Korea.

Design and Implementation of Web Based Instruction System using Java Server Pages (JSP를 이용한 웹 기반 교수학습 시스템의 설계 및 구현)

  • Jung, Jong-Dae;Nam, Jae-Yeal;Choi, Jae-Gak
    • Journal of The Korean Association of Information Education
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    • v.7 no.3
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    • pp.263-274
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    • 2003
  • Web based instruction (WBI) has been widely used thesedays because the web has various advantages for instruction. However, most of current WBI systems do not support various requirements from students. It is because of the lack of research for structural instruction method. This paper presents a new method of WBI and designs an instruction model to support various requirements from students by implementing dynamic WBI system using JSP to solve current WBI problems. The developed WBI system uses multimedia based instructions. The implemented system focused on the practical instruction by providing the functions of listening, homework, and test on web site. For the similar effects as in the classroom, it supports functions of electronic white board and multimedia data which is consisted of high-quality sound and video data with high degree of compression. Furthermore, the system supports that instructors can design a test using three kinds of basic forms, a multiple-choice test, brief-answer test, essay test, and evaluate the tests easily. It also supports easy management for homework, lecture registration, and many school affairs.

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Data Analysis of Dropouts of University Students Using Topic Modeling (토픽모델링을 활용한 대학생의 중도탈락 데이터 분석)

  • Jeong, Do-Heon;Park, Ju-Yeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.88-95
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    • 2021
  • This study aims to provide implications for establishing support policies for students by empirically analyzing data on university students dropouts. To this end, data of students enrolled in D University after 2017 were sampled and collected. The collected data was analyzed using topic modeling(LDA: Latent Dirichlet Allocation) technique, which is a probabilistic model based on text mining. As a result of the study, it was found that topics that were characteristic of dropout students were found, and the classification performance between groups through topics was also excellent. Based on these results, a specific educational support system was proposed to prevent dropout of university students. This study is meaningful in that it shows the use of text mining techniques in the education field and suggests an education policy based on data analysis.

Design and construction method of an employment support management system for college students - A case study (대학생들을 위한 취업지원관리시스템의 설계 및 구축안-사례 연구)

  • Kim, Jae-Saeng;Kim, Kyung-Hun;Kyung, Tae-Won
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.329-338
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    • 2014
  • Today, one of the important factors that determine the university rating is the employment rate. The jobseekers are using online or offline recruiting services in order to get the desired job information. There are lots of employment supporting systems as like web-based employment agencies and University's job centers, but they are focusing more on providing job information rather than on managing the employment support. In addition, those are insufficient to support business process associated with MOU companies, industry field training, mentoring processors, etc., and to continue to manage and to update the information (resume, personal statement, etc.) about the students which the companies want, and the information about the companies which jobseekers want. Therefore, it is required that the employment supporting system which not only storages the initial data (student and corporate information), but also assist the career placement. In this paper, we considered the specific employment rights management features of the existing employment support system, it could receive real-time job information in the smart phone, we presented the design and construction of the system linked to the Bachelor Information System.

A Study on the Recognition of LIS Students about Public Library's Subject Special Services and Subject Special Librarian (공공도서관의 주제전문서비스와 주제전문사서에 대한 문헌정보학과 재학생 인식 조사)

  • Noh, Younghee;Oh, Euikyung
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.2
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    • pp.5-25
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    • 2018
  • This study is a broad examination researchon LIS students' perception about public library's subject special services and subject special librarian. Students majoring in Library and Information Science as respondents, it examined the recognition level of subject special services and subject special librarian, cognition level of necessity, competencies of subject special librarians and students and opinions on special status system of subject psecial librarians. Main factors shown in the results include the the level of students' understanding and necessity of subject special services and subject special librarian, students' willingness to work as a subject special librarian, the willingness to put additional effort into equip themselves with competencies as subject special librarians. There were respondents who have equipped competencies as subject special librarians through courses provided by the department of Library and Information Science and school curriculum but have not done anything further. Respondents responded that there is a need to systematize special status system of subject special librarian and that subject specialty is important in implementing subject special services but that there is a lack of subject specialty. Based on the research results, this study suggests that there is a need to put more emphasis on developing curriculum that can help overcoming difficulties faced by students majoring in Information Sciecne and help them become competent subject special librarians.

A Comparative Study on a General Culture concerning Subject Specialist Librarianship (주제전문사서직의 일반전공교육에 관한 비교연구 : 주제전문사서, 학과제 학생, 학부제 학생)

  • Kang Mia Hye
    • Journal of the Korean Society for Library and Information Science
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    • v.33 no.1
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    • pp.129-144
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    • 1999
  • The purpose of this research is to compare the opinions of three different groups - subject specialist librarians(group I) . students of department programs(group II) and students of college programs(group III) - as to whether these groups have a different way of thinking from each other concerning a general culture for subject specialist librarianship. Questionnaire are carried out for this research and the responses analyzed to draw a conclusion. Major findings are as follows: 1) The subject specialist librarianship to be important to all three groups and a desirable academic career of group I shows a tendency to have both B.A. degree in the subjet field and M.A. degree in library & information science, $15.3\%$ of group II and $82.9\%$ of group III appear to be belonging to either minor or double major programs, 2) the 37-45 major credits to be ideal to group I & III, and 46-55 group II, 3) a knowledge in 'Computer' and 'English' is mostly demanded to all three groups as the general culture for subject apecialist librarianship, 4) theoretical courses to be very important to group I and technical courses to group II & III, 5) the collection and access of library materials to be regarded to all three groups as an important role for future librarians.

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