• International Journal of Knowledge Content Development & Technology
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• 제12권2호
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• pp.29-40
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• 2022

The study investigated the challenges of recruitment and selection process of librarians in federal university libraries in South-South, Nigeria. The study adopted a descriptive survey. The population of the study consists of 108 librarians. 95 copies of the questionnaire were filled and returned. The questionnaire was used in collecting data. The overall reliability of the instrument yielded 0.95 with the use of Cronbach Alpha Coefficient. Standard deviation and mean was used to generate the data that was gathered. The rating scale of 4 points was subjected to an estimation procedure using SPSS version 17.0. A mean score of 2.5 and above on any item was accepted. The findings revealed that the librarians identified the challenges to include ethnicity influence; favouritisms; recruitment based on godfatherism; dwindling budgetary allocation. The librarians also identified some of the strategies to include performance at interview as benchmark; equity and fairness as benchmark; recruitment should be done according to relevant discipline; and having channels for reporting cases of corruption during recruitment. Based on the above findings the study recommended among others that recruitment and selection of qualified librarians should be done according to the laid down procedures.

• International Journal of Computer Science & Network Security
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• 제22권8호
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• pp.87-96
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• 2022

This paper employs a computer-aided text analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the strategies of recruitment and intellectual polarization in ISIS (Islamic State in Iraq and Syria) media. The paper's main objective is to shed light on the efficacy of employing computer software in the linguistic analysis of texts, and the extent to which CATA software contribute to deciphering hidden meanings of texts as well as to arrive at concise and authentic results from these texts. More specifically, this paper attempts to demonstrate the contribution of CATA software represented in the two variables of Frequency Distribution Analysis (FDA) and Content Analysis (CA) in decoding the strategies of recruitment and intellectual polarization in one of ISIS 's digital publication: Rumiyah (a digital magazine published by ISIS). The analytical focus is on three strategies of recruitment and intellectual polarization: (i) lexicalization, (ii) intertextual religionisation, and (iii) justification. Two main findings are revealed in this study. First, the application of CATA software into the linguistic investigation of texts contributes effectively to the understanding of the thematic and ideological messages pertaining to the analyzed text. Second, the computational analysis guarantees concise, credible, authentic and ample results than is the case if the analysis is conducted without the work of computer software. The paper, therefore, recommends the integration of CATA software into the linguistic analysis of the various types of texts.

• 정보관리학회지
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• 제24권1호
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• pp.147-164
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• 2007

본 연구는 디지털 형태의 학위논문, 학술지논문, 연구보고서 등과 같은 다양한 형태의 학술자료를 저장, 배포, 관리하는 학술 기관 레포지터리를 활성화시키기 위한 방안으로 이용자, 연구자, 학회 기관 등을 위한 부가 서비스 페이지를 제안하였다. 이를 위하여 문헌조사, 사례조사 및 이화여자대학교 학과 교수 홈페이지 분석을 실시하였으며, 이 결과를 바탕으로 부가 서비스 페이지 구성에 필요한 기능 및 요소 등을 도출하였다. 제안하는 부가 서비스 페이지의 도입은 연구자들의 기관 레포지터리에 대한 참여를 유도하여 보다 적극적으로 저작물을 제출하게 함으로써, 궁극적으로 기관 레포지터리 활성화를 도모할 것이다.

• 한국사회복지학
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• 제36권
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• pp.101-127
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• 1998

본 연구에서는 재가복지서비스를 위해 인적자원을 개발하고 이러한 인적자원을 효율적으로 관리하기 위한 관리체계 모형을 제시하고자 부산지역의 청소년 직장인 주부 장애인 노인집단을 대상으로 조사를 실시하여, 조사 결과와 관련이론들을 바탕으로 재가복지서비스에 있어서 중요한 인적자원인 자원봉사자의 개발 및 관리체계 모형을 모집, 교육 및 훈련, 배치, 관리 및 지도감독, 그리고 평가의 다섯 단계로 구성하여 제시했다. 본 연구의 연구방법은 국내외의 선행연구 및 재가복지서비스와 관련되는 각종 문헌들의 검토를 통한 문헌연구와 사회조사를 통한 실증적 연구를 병행하였다. 본 연구의 결과로 제시된 모형은 자원봉사센터와 재가복지서비스를 제공하고 있는 자원봉사자 활용기관들의 상호연계 및 협력을 전제로 구성되었다. 이 좌형은 인적 자원 개발측면과 관리측면이 분리되어 있는 것이 아니라 단계별로 강조점이 다르긴 하지만 전 과정을 통해서 통합적으로 이루어지고 있다.

• Journal of Ecology and Environment
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• 제34권3호
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• pp.251-257
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• 2011

The purpose of this study was to investigate the acclimation responses of Tamarix chinensis to cold stress. We evaluated the acclimation responses by measuring biomass, daily elongation rate, chlorophyll content, and total soluble carbohydrate content. The plant samples comprised leaves from seedlings of 2 different ages (8 and 12 weeks); the leaves were collected 0, 2, and 4 weeks after cold treatment. We found that the cold-treated samples showed reduced daily elongation rates and chlorophyll content. Further, these samples showed more than 8-fold increase in the total soluble carbohydrate content. However, the seedling ages did not have a significant influence on the growth of cold-treated seedlings. On the basis of these findings, we can conclude that T. chinensis seedlings aged less than 1 year old show acclimation to cold stress by accumulating soluble carbohydrates. This study may help us understand how T. chinensis seedlings acclimatize to their first cold season.

• 지역사회간호학회지
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• 제30권4호
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• pp.391-399
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• 2019

Purpose: Recent advances in computer and mobile technologies have brought increasing usages of IT technology in nursing research across nursing fields. Despite the increasing usages, there has been little discussion on methodological issues involved in nursing research using IT technology. This is a discussion paper to identify methodological issues in IT technology-based nursing research. Methods: An analysis was done using content analysis on research team meeting minutes and research team members' research diaries in a clinical trial that tested the efficacy of a technology-based intervention. First, several major categories of IT technology-based nursing research are concisely summarized. Then, the method that was used for this analysis is presented. Results: The findings are presented as themes reflecting methodological issues in IT technology-based research: (a) difficulties in recruitment due to necessary technology literacy; (b) facilitating recruitment through allowing the use of multiple languages; (c) participants' preferences for specific IT technology; (d) efforts needed to ensure technological security; (e) participants' preferences for design; and (f) necessary considerations on timing. Conclusion: Finally, future directions for nursing research using IT technology are proposed based on the identified issues.

• 한국도서관정보학회지
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• 제54권4호
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• pp.85-104
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• 2023

본 연구는 사서교사 임용시험에 출제된 시험 문항의 영역, 내용 및 평가 요소 등을 분석하여 임용시험의 개선 방안을 제시하는데 목적이 있다. 이를 위해 한국교육과정평가원에서 제공하고 있는 2002년 이후 사서교사 임용시험 문제를 수집하여 영역별 출제 빈도를 분석하였다. 분석결과, 학교도서관 운영 106문항(21.95%), 분류학과 정보검색 각 63문항(13.04%), 도서관 전산화 59문항(12.22%), 독서지도론 58문항(12.01%), 목록학과 정보봉사론 각 56문항(11.59%), 정보매체론 18문항(3.73%) 순으로 출제 빈도를 확인할 수 있었다. 이어서 최근 10년간(2014~2023학년도) 임용교사 출제 영역을 사서 전문성과 학교도서관 실무영역으로 구분하여 출제 빈도를 분석한 결과, 사서 전문성 관련 문항은 총 149문항(66.22%), 학교도서관 실무 관련 문항은 총 76문항(33.78%)으로 확인되었다. 이를 토대로 평가영역 및 평가요소의 갱신, 정보매체론 영역의 확대, 안정적이고 지속적인 교원 수급 정책의 필요성을 제안하였다.

• 실천공학교육논문지
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• 제11권2호
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• pp.219-229
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• 2019

The purpose of this study was to examine the effect of on-site training environments and goals on learning outcomes of trainees. For this purpose, the study analyzed survey data collected from 752 students who participated in KOREATECH's Industry Professional Practice (IPP) on-site training program from 2017 to 2018. The following summarizes some important findings from the study results: First, on examining whether the effect of job characteristics on the academic competencies differs according to the characteristics of the group, it was found that the factors that affect the whole group were job content, coaching, and welfare benefits, but the effect of job scope was statistically significant. Second, on examining whether the effect of job characteristics on job competencies differs according to the characteristics of the group, it was found that the factors that affect the whole group were job content, coaching, and job scope, but the effect of welfare was statistically significant. Analyzing by training goals, it was found that the major influencers were job content in the Recruitment-intended group; and job content, coaching and job scope in the Training-intended group. Based on the results, the implications of the study and follow-up studies are suggested.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.170-179
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• 2022

To find out the effect of interest on chemical content, interest in chemistry, choice of science elective subjects, teaching-learning characteristics that make it difficult to understand contents, academic achievement in general chemistry according to university admission screening, etc. were surveyed on 51 students enrolled in the department of chemistry education at P college of education. As a result of the survey, it was found that the interest in Chemistry I, Chemistry II, and general chemistry increased significantly to 94.6%, 73.7%, and 66.0%, respectively. 39.3% of the students answered that they had a lot of difficulty in understanding general chemistry. The characteristics of learners who make it difficult to understand the content were found to be 'lack of willingness to learn' such as 'lack of understanding chemical concepts' and 'lack of problem solving', due to the lack of 'basic knowledge'. As a way to solve these difficulties, 'expert help' appeared the most. The grades of general chemistry of students who entered the regular admission were relatively higher than those of occasional recruitment.

• 한국IT서비스학회지
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• 제20권3호
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• pp.57-73
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• 2021

Recently, online job websites have been activated as unemployment problems have emerged as social problems and demand for job openings has increased. However, while the online job platform market is growing, users have difficulty choosing their jobs. When users apply for a job on online job websites, they check various information such as job contents and recruitment conditions to understand the details of the job. When users choose a job, they focus on various details related to the job rather than simply viewing and supporting the job title. However, existing online job websites usually recommend jobs using only quantitative preference information such as ratings. However, if recommendation services are provided using only quantitative information, the recommendation performance is constantly deteriorating. Therefore, job recommendation services should provide personalized services using various information about the job. This study proposes a recommended methodology that improves recommendation performance by elaborating on qualitative preference information, such as details about the job. To this end, this study performs a topic modeling analysis on the job content of the user profile. Also, we apply LDA techniques to explore topics from job content and extract qualitative preferences. Experiments show that the proposed recommendation methodology has better recommendation performance compared to the traditional recommendation methodology.