The purpose of this study is to analyze common inquiry tasks of middle school history textbooks and find out it’s implications on teacher librarians’ educational information services. There are 84 common inquiry tasks according to examinations of inquiry tasks related to world history in 18 kinds of middle school history textbooks. Results of the analysis show that almost all of common inquiry tasks of world history make middle school students who should resolve them research the pictures and reading materials included in the textbooks individually and verbalize under the information literacy process. Compared with information literacy process of the 「Library and Information Skills」 for middle schools, the First step of task definition and figuring out information needs and the Third step of representation of information are being implemented. For this reason, teacher librarian could reduce history studies teachers’ burden of running the class and promote students’ inquiry activities by teaching skills of information analysis and interpretation, synthesis and organization and evaluation of their information literacy process and results.
This study investigates how high school students with low academic achievement seek and use information. Participants were seven US students in an American Literature and Composition course of the 11th grade Remedial Education Program who completed a class project that required comprehensive information seeking and use. Data were collected through comprehensive observation and individual interviews with each student, the teacher, and two library media specialists. Additionally, we gathered and analyzed the instructions the teacher and the two library media specialists provided and all documents each student produced to complete the class project. The process of data analysis was supported by QSR NVivo. The findings of the study implied that students experienced cognitive and affective challenges for their information seeking and use required for the tasks and suggested that technological and individual conferencing would motivate the students to continue their information seeking and use. We then conclude the study with some important implications that can be used as a basis for designing information literacy instructions for students with low academic achievement.
This study was conducted to develop items for evaluating the level of the digitization of libraries. For this purpose, it analyzed the literature related to the digital library, underwent a convergence process of 10 experts, and finally derived an axis of 13 different dimensions comparing the digitization of libraries. The axis is composed of acquisitions, collections (physical and online collections), classification and cataloging, circulation service, reference, user service, SNS service, the library’s organization and staff, device providing service, next-generation service, and status of our library. This study conducted a survey of librarians to secure the validation of the primarily derived evaluation items regarding libraries’ digitization. As a result, the average rating of the traditional evaluation items was 3.82, and the average rating of the digital evaluation items was 4.08. Therefore, it can be said that the results of this research to evaluate the digitized level of libraries have a certain degree of validity.
The study, on the one hand, reflects the recent social interest in crisis management including user safety and library disaster preparation, and, on the other hand, presents a detailed safety management manual that is a reference for library work sites concerning accidents that may occur in public libraries. The proposed safety management manual consists of safety management elements for the four areas of ‘safety management planning’, ‘safety management for each crisis type’, ‘information resource restoration’, and ‘safety management checklist’, as well as their detailed sub-categories. This allows each public library site to use the manual to establish safety management plans according to their situation and educate their employees.
For the effective classification of complex subjects, a library classification scheme should adopt multiple division principles (or facets). Each of the multiple principles adopted for the division of complex subjects is sequentially applied at each stage of division. The order of application of these multiple principles during the process of division of complex subjects is called citation order. In order for a classification scheme to be consistent and logical, the citation order of division principles applied to classify complex subjects should be concrete and consistent. Especially, in case of enumerative classification system, decisions on citation order to represent complex subjects significantly affect the structure and organization of the classification system. There are basic principles and theoretical canons of the classification theory on the citation order and its application, but they cannot be applied solidly in the process of classification system development for practical reasons. Therefore, this paper first reviews previous works on classification theories regarding citation order, then explores the conditions and circumstances for the application of citation order.
This study aims to develop the records management standard table of the college of education through mapping transaction and records folder based on identifying the problems of the college of education. For these purpose, the study analyzed the records classification system of the all college of education. And then, drew out the business transaction items for records management standard table of the college of education based on the records management standard table of the local governments. Consequently, based on analysis, this study developed the records management standard table and suggested efficient management plan to apply Business Reference Model(BRM) to the college of education in 2017.
This study aims to bound the preliminary material for the disabled to provide personalized information systematically and effectively. In order to carry out this study, reference research and survey are conducted the disabled, protector, professional, researcher and teacher. The result, disabled and the persons involved in primary source of disability was a portal site. Critical information types were job board, mobile access to (traffic) information on the information, and medical institutions and so on. Also, Able-bodied compared to the importance of information for disabled people was low and acquisition of data feel it is hard and availability of critical information types, depending on the types of disability and acquisition the difference appeared.
The academic journal is an important medium carrying newly discovered knowledge in various disciplines. It is desirable to consider visualization of journal and article information in order to make the information more insightful and effective than text-based information. In this study, visualization service platform of journal and article information is developed. TagCloud were included in both Infographics of journal and article. Each word in the TagCloud is inter-linked with DBPedia using Linked Open Data (LOD) technique.
This study aims at suggesting mid- and long-term development plan (vision, core values, strategic goals and functional performances, major tasks and detailed action plans for each strategy, organizational and human resources management, shared responsibility with the National Library of Korea which is main library in collection and services of policy information, and cooperation and collaborative exchange programs) for the National Library of Korea, Sejong. This study is based on the appropriateness that the library should enhance its visibility through focusing on the role as the specialized library in charge of public policy information services if it wished to ensure the identity of a branch of the National library of Korea for the comprehensive collection, preservation, and nationwide services of public policy information.
The purpose of this study was to examine the current development of continuing professional education for librarians with particular foci on online learning and professional competencies. It analyzed the current online training programs at the National Library of Korea along with on-site programs in order to identify their strengths and weaknesses. It also examined best practices of online continuing education abroad where more diverse and interactive delivery methods, such as webinars and webcasts, are used to inform latest and practical topics in the field. It found online training programs are not complementing but playing major roles in continuing professional education. The study also examined the current trends that library continuing educational institutions are applying core competencies schemes to continuing education programs in order to systemize their programs and to strengthen individual librarians’ professional competencies.
In this study, we develop a categorization of citizens’ information problems in their everyday life based on the characteristics in their information seeking behavior for developing information services which support to solve the problems practically. First of all, we extracted keywords related to their faced everyday life problems from the scripts of open-ended interviews with citizens who had diverse characteristics. The keywords were categorized into 6 groups, such as hobby/recreation, legal problems, current affairs, education, health, and economic matters, based on the characteristics in related information seeking behaviors. Then the 6-group categorization was tested statistically with questionnaire survey data based on their prefered information sources. Through the statistical test, the 6-group categorization has proved being valid. Based on the results, we suggested to reconsider the current information services in public libraries, and discussed a possibility to shift the services to problem-based information services.
This study intends to review the quality factors of library service for the disabled using user-centered approach. For the empirical review of quality factors, Nine quality factors were drawn after analyzing the current library service quality factors and the standards of library service for the disabled. Using these factors, The survey for identifying importance of factors and the qualitative evaluation of service cases were performed in this study. As a result of this survey, the most critical but relatively weak quality factors were facility, collection and staff factors. And the qualitative evaluation results of service cases indicated that the reading culture program and the information service factors were critical.
Infectious diseases such as Ebola virus disease become a social issue and draw public attention to be a major topic on news or research. As a result, there have been a lot of studies on infectious diseases using text-mining techniques. However, there is no research on content analysis of two media channels that have distinct characteristics. Accordingly, in this study, we conduct topic analysis between news (representing a social perspective) and academic research paper (representing perspectives of bio-professionals). As text-mining techniques, topic modeling is applied to extract various topics according to the materials, and the word co-occurrence map based on selected bio entities is used to compare the perspectives of the materials specifically. For network analysis, topic map is built by using Gephi. Aforementioned approaches uncovered the difference of topics between two materials and the characteristics of the two materials. In terms of the word co-occurrence map, however, most of entities are shared in both materials. These results indicate that there are differences and commonalties between social and academic materials.
This paper introduces a relation extraction system that can be used in identifying and classifying semantic relations between biomedical entities in scientific texts using machine learning methods such as Support Vector Machines (SVM). The suggested system includes many useful functions capable of extracting various linguistic features from sentences having a pair of biomedical entities and applying them into training relation extraction models for maximizing their performance. Three globally representative collections in biomedical domains were used in the experiments which demonstrate its superiority in various biomedical domains. As a result, it is most likely that the intensive experimental study conducted in this paper will provide meaningful foundations for research on bio-text analysis based on machine learning.