• Title/Summary/Keyword: information needs analysis

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Design and Implementation of Repeatable and Short-spanned m-Learning Model for English Listening and Comprehension Mobile Digital Textbook Contents on Smartphone

  • Byun, Hye Won;Chin, SungHo;Chung, Kwang Sik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.8
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    • pp.2814-2832
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    • 2014
  • As information society matures to an even higher level and as information technology becomes a necessity to our everyday lives, the needs to develop, support and satisfy personal and social needs without the limitation of time, space, and location have become a vital point to everyday lives. Smartphone users are increasing at a staggering rate but the research on mobile-Learning model and the implementation of m-Learning scenario are still behind the needs of the users. Therefore, this paper focuses on the design of 'repeatable and short-spanned m-Learning model' to meet the needs of the learners who are on the go and on the move with their smartphones. Smartphone users frequently reach out for their phones but compare to the frequencies, the actual span of time they spend per use are relatively and surprisingly short. One way to understand this phenomenon is that the users tend to immediately replace their smartphones with laptops or desktops whenever they are available. A leaning model was needed to reflect this short and frequent use, a use that is solely based on the smartphone environment. This proposed learning model first defines this particular setting and implements the model to real smartphone users over an 8 week period. To understand whether different learning backgrounds can influence this model, different schools with online and offline learning channels participated in the experiment. User survey was conducted after the experiment to get a better understanding of the smartphone users. Pretest and posttest were conducted before and after the experiment and the data were validated and analyzed using SPSS version 18.0 for PC. Preliminary descriptive statistics, multiple regression and cross validation was conducted for the analysis. The results showed that the proposed English Listening and Comprehension Mobile Digital Textbook (ELCMDT) had a positive effect on the learners in general and was more effective for learners who were already experienced with online learning.

A Study on the Establishment of One-stop Portal Service for Humanities and Social Assets (인문사회자산 원스톱 포털 서비스 구축 방안 연구)

  • Noh, Younghee;Jeong, Daekeun;Kwak, Woojung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.1
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    • pp.73-97
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    • 2018
  • The study is to make a development initiative for humanities and social assets one-stop portal services intended for researchers, thereby establishing long-term road map for Korean Research Memory(KRM) in National Research Foundation of Korea(NRF). The empirical studies conducted for this purpose are as follows: SWOT analysis of KRM's internal and external environment; Usability test for 90 graduate students; Focus group interview for 8 experts. The results of the studies are as follows. First, KRM needs to focus on the sustainability of information provision as well as the integration of research provision. Second, KRM needs to establish the strategy of acquisition for R&D products in quality. Third, KRM needs to be the hub of humanities and social assets and social network platform for researchers. Forth, KRM needs to develop education service for lay users as well as research services for professional researchers.

New EM algorithm for Principal Component Analysis (주성분 분석을 위한 새로운 EM 알고리듬)

  • 안종훈;오종훈
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.529-531
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    • 2001
  • We present an expectation-maximization algorithm for principal component analysis via orthogonalization. The algorithm finds actual principal components, whereas previously proposed EM algorithms can only find principal subspace. New algorithm is simple and more efficient thant probabilistic PCA specially in noiseless cases. Conventional PCA needs computation of inverse of the covariance matrices, which makes the algorithm prohibitively expensive when the dimensions of data space is large. This EM algorithm is very powerful for high dimensional data when only a few principal components are needed.

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Dispersion characteristics of the finite-difference frequency-domain(FDFD) method with the multi-resolution technique (다해상도법을 적용한 유한차분 주파수영역법의 분산특성)

  • 홍익표;최도형;박한규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.10
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    • pp.2724-2730
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    • 1996
  • In this paper, the dispersive characteristics of the Finite-Difference Frqequency-Domain method based on the Multi-Resolution Technique(MR-FDFD) are numerically analyzed. A dispersion analysis of the MR-FDFD ority of the MR-FDFD method to the spatial discretization is shown. We expect that the multi-resoluation technique will improve the disavantage of the finite difference techqnique which needs the large comutational memory for accurate electromagnetic analysis.

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Information Needs Expressed by Mothers of Young Children with Disabilities (장애아동 양육을 위한 어머니의 정보요구에 관한 연구)

  • Chung, Gui-Ok;Lee, Jong-Ryol;Park, Chun-Man
    • Korean Journal of Health Education and Promotion
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    • v.22 no.2
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    • pp.195-213
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    • 2005
  • Objectives: This study aims to determine fostering stress and mental health state that mothers of handicapped children perceive as primary care givers and to analyze their demand for information assistance in order to release their stress so that it can provide materials that contribute to establishment of assistance system for families with handicapped children. Methods: The research subjects were 340 mothers whose children went to a nursery for special children, 3 general nurseries and 6 special schools in Daegu, and the data were collected using structures questionnaires. The survey analyzed mothers' fostering stress, their demand for fostering information assistance, children's daily activity abilities. Component concepts of each scale was validated by adopting confirmatory factor analysis, and factors affecting demand for fostering information assistance were analyzed by adopting covariance structural analysis. Results: Younger mothers tend to have higher demand for information, and mothers with younger children or children with double handicaps also have higher demand. Mothers under 30 have the lowest demand for public health and medical care assistance and for home and community life assistance, while mothers with children with physical handicaps have the highest. The validity of component concepts was verified by categorizing as cognitive structure models fostering stress, information demand, children's daily activity abilities, and their appropriateness was evaluated through confirmatory factor analysis using structural equation modelling. And then, GFI (more than 0.9), CFI (more than 0.9), TLI (more than 0.9) and RMSAE (less than 0.08) were used to evaluate the appropriateness. It was found that all the component concepts are valid, as every item is within appropriate range. The result of analyzing information demand demonstrated that children's handicap levels significantly affect their mothers' mental health, while fostering stress significantly affect mothers' metal health, information demand. As well, it was confirmed that mothers' mental health has a significant effect on information demand. Conclusions: Therefore, to reduce special children's mothers' uncertainty, helplessness and fostering burden, it is necessary to provide them with information on children's challenges, development and fostering and to offer them quality public health, medical care and welfare assistance along with family and local community life assistance.

A Keyword Analysis of Collection Development Policies of University and Public Libraries Using Text Mining (텍스트 마이닝을 활용한 대학도서관과 공공도서관의 장서개발 정책 키워드 분석)

  • Da-Hyeon Lee;Dong-Hee Shin
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.1
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    • pp.285-302
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    • 2024
  • For this article, we conducted frequency analysis, topic modeling, and network analysis on eleven texts related to collection development policy found in the National Library of Korea. We deduced the main keywords related to collection development policies and analyzed the relationship between them. We subsequently conducted a pie coefficient analysis to identify the characteristics of collection development policies of university libraries and public libraries by category. The results showed that keywords such as "material," "library," "collection development," "user," and "collection" were the main keywords in frequency analysis and network centrality. Meanwhile, the pie coefficient analysis revealed that keywords such as "university," "construction," "student," "target," and "cost" were prevalent in university libraries, indicating that the academic needs of users and the discussion of digital resources were primary issues, while keywords related to the information needs of various user groups-including "adults," "survey," "feature," and "religion" -appeared in public libraries.

A Study on the Information Networks of local Exhaust System of Factories (사업장의 국소배기 설비와 관련된 정보 수집 연결망에 대한 연구)

  • Yoon, Young No;Rhee, Kyoung Yong
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.10 no.2
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    • pp.1-17
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    • 2000
  • We investigated dissatisfaction of elements of local exhaust system, needs for local exhaust system, and information networks for local exhaust system from June 1998 to September 1999 using the questionnaire structured. It contained questions concerning general characteristics of factory and local exhaust system, troubles and dissatisfaction of elements of local exhaust system, and information networks for local exhaust system. The collected data were analyzed by descriptive statistics analysis. Information networks for local exhaust system were analyzed by multidimensional scaling using path distance of network analysis and by graph analysis using Krackplot. Among complaints of local exhaust system, that of duct has show the highest percentage of complaint. In the information network for local exhaust system, Seoul is positioned in the center of network with mediating role.

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A Study on the Relationship between Teachers' Information Need about Guidance and Perception regarding Educational Guidelines to Improve Teachers' Perception of Educational Instruction (교사들의 교육지침 인식 개선을 위한 생활지도 정보요구와 교육지침 변화에 대한 인식 간 관계 연구)

  • Kim, Jinmyung;Lee, Jee Yeon
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.131-157
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    • 2022
  • This study aims to present the relationship between the teachers' information needs regarding guidance and the perception of educational guidelines issued by the Office of Education. The research design was conducted based on the reviewing theoretical background studies, and questionnaires were found in in-depth semi-structured interviews in a pilot study. Gyeonggi Province is divided into four regions, which is the target of the survey. Teachers of three schools in each region were surveyed, and eventually 217 copies of the survey were used for the final analysis. The result shows that the role of school libraries in caring for teachers' information needs ultimately influences the improvement of teachers' guidance. Based on this result, the study suggests ways to improve information services provided by school libraries. In particular, the study is meaningful in that it has presented a potential service plan that can be performed by school libraries to help address teachers' information needs about guidance in schools.

Dynamic Text Categorizing Method using Text Mining and Association Rule

  • Kim, Young-Wook;Kim, Ki-Hyun;Lee, Hong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.10
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    • pp.103-109
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    • 2018
  • In this paper, we propose a dynamic document classification method which breaks away from existing document classification method with artificial categorization rules focusing on suppliers and has changing categorization rules according to users' needs or social trends. The core of this dynamic document classification method lies in the fact that it creates classification criteria real-time by using topic modeling techniques without standardized category rules, which does not force users to use unnecessary frames. In addition, it can also search the details through the relevance analysis by calculating the relationship between the words that is difficult to grasp by word frequency alone. Rather than for logical and systematic documents, this method proposed can be used more effectively for situation analysis and retrieving information of unstructured data which do not fit the category of existing classification such as VOC (Voice Of Customer), SNS and customer reviews of Internet shopping malls and it can react to users' needs flexibly. In addition, it has no process of selecting the classification rules by the suppliers and in case there is a misclassification, it requires no manual work, which reduces unnecessary workload.

The Third-generation Synchrotron Radiation Technique for Single Particle Analysis

  • Ma, Chang-Jln
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.05b
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    • pp.49-50
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    • 2003
  • To know the properties of single aerosol particle is an essential prerequisite for understanding its chemical reactions in the atmosphere. Single particle analysis has the advantage of providing a great amount of information that cannot otherwise be obtained using methods of bulk analysis. And single particle analysis needs the short sampling time and the small sampling mass for analysis. This allows for a better determination of the temporal variation of the component concentrations in aerosol particles. (omitted)

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