Journal of the Korean Society for Library and Information Science
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- P-ISSN1225-598X
- E-ISSN2982-6292
Vol.55 No.4
Abstract
This study aimed to understand how people perceive the transition from offline to online classes at universities during the COVID-19 pandemic. To achieve the goal, we collected tweets related to online classes on Twitter and performed sentimentand time series topic analysis. We have the following findings. First, through the sentiment analysis, we found that therewere more negative than positive opinions overall, but negative opinions had gradually decreased over time. Through exploringthe monthly distribution of sentiment scores of tweets, we found that sentiment scores during the semesters were morewidespread than the ones during the vacations. Therefore, more diverse emotions and opinions were showed during the semesters. Second, through time series topic analysis, we identified five main topics of positive tweets that include class environment and equipment, positive emotions, places of taking online classes, language class, and tests and assignments.The four main topics of negative tweets include time (class & break time), tests and assignments, negative emotions,and class environment and equipment. In addition, we examined the trends of public opinions on online classes by investigating the changes in topic composition over time through checking the proportions of representative keywords in each topic. Different from the existing studies of understanding public opinions on online classes, this study attempted to understand the overall opinions from tweet data using sentiment and time series topic analysis. The results of the study can be used to improve the quality of online classes in universities and help universities and instructors to design and offer better online classes.
Abstract
This study analytically examined library anxiety that various users felt when they use public libraries, by measuring it on K-LAS. The findings show that the library anxiety is varied depending on users’ age, gender, academic careers, usage purposes, frequency of use and size of libraries. It suggested the guidance and education about the use of libraries, environmental improvement based on the remodeling of libraries, wearing of nameplates written in big characters for identifying librarians and the education for users’ understanding and the provision of device and equipment manuals according the levels of users’ experiences, as measures for overcoming the library anxiety, enhancing usage satisfaction and activating usage.
Abstract
This study was conducted to obtain a better understanding of Korean researchers’ motivations and experience regarding open access publishing. An online survey was conducted with the Korean authors of PLOS ONE, a major open access mega journal (OAMJ). A total of 238 responses were collected; the analysis was based on 202 valid responses. The results of the survey were compared and constrated with the results of a major international study that investigated similar issues. For Korean authors with open access publishing experience, journal impact factor (JIF) is still the most important factor in making publishing decisions. There was a significant difference between general publishing venue decision making versus open access publishing venue decision. Overall, Korean authors are far less satisfied with open access publishing than the authors in the international study. The results suggest comparatively low level of expectation among Korean researchers toward open access publishing. Open access policy and training initiatives are needed to promote open access.
Abstract
Public library accessibility directly affects library usage, and the disproportionate distribution of accessibility is a decisive factor limiting the equitable provision of library services. In this regard, this study analyzed the spatial accessibility of public libraries in Busan and identified the factors affecting accessibility of public libraries using spatial regression analysis. As a results of the analysis, the accessibility of public libraries in the Busan showed large deviations by region. Also, spatial distribution of public libraries had no correlation with the settled population and use of public transportation, and location of public libraries was inefficient, in terms of social equity. The results of this study will assist to understand the spatial accessibility of public libraries in Busan, to identify factors that affect the accessibility. Moreover, this study is expected to be utilized as fundamental data for releasing disparities of the spatial accessibility and selecting new location of public library in Busan.
Abstract
This study analyzed the previous studies and utilization cases on library big data, and based on this, analyzed the collection/circulation data of the library big data platform and tried to derive meaningful analysis results. And five analysis indicators were selected: the increase rate of collections by annual, the composition of collections by subject, the composition of unborrowed collections by subject, the rate of borrowed collections, and use factor by subject. The analysis data is 6,722,603 cases of collection/circulation data from 33 public libraries in Busan. The main analysis results are as follows. First, it was found that the gap in the number of circulation was larger than the number of collection in the 33 public libraries. Second, the annual increase rate of collections also showed a clear decline. Third, each library showed a similar pattern in the composition of both the collections and the unborrowed collections by subject. Fourth, it was found that users’ circulation were very different by subject and library. Fifth, in most libraries, the rate of circulation of collections and use factor in the natural science field were the highest.
Abstract
This study divided the keyword sets searched from LISTA database focusing on the overseas open access fields into two types (controlled keywords and uncontrolled keywords), and examined the results of performing an intellectual structure analysis based on profiling for the each keyword type. In addition, these results were compared with those of an intellectual structural analysis based on co-word analysis. Through this, I tried to investigate whether similar results were derived from profiling, another method of intellectual structure analysis, and to examine the differences between co-word analysis and profiling results. As a result, there was a similar difference to the co-word analysis in the results of intellectual structure analysis based on profiling for each of the two keyword types. Also, there were also noticeable differences between the results of intellectual structural analysis based on profiling and co-word analysis. Therefore, intellectual structure analysis using keywords should consider the characteristics of each keyword type according to the research purpose, and better results can be expected to be used based on profiling than co-word analysis to more clearly understand research trends in a specific field.
Abstract
In this study, we aimed to understand research trends of domestic artificial intelligence research. To achieve the goal, we applied network analysis and dynamic topic modeling to domestic research papers on artificial intelligence. Among the papers that have been indexed in KCI (Korean Journal of Citation Index) by 2020, metadata and abstracts of 2,552 papers where the titles or indexed keywords include ‘artificial intelligence’ both in Korean and English were collected. Keyword, affiliation, subject field, and abstract were extracted and preprocessed for further analyses. We identified main keywords in the field by analyzing keyword co-occurrence networks as well as the degree and characteristics of research collaboration between domestic and foreign institutions and between industry and university by analyzing institutional collaboration networks. Dynamic topic modeling was performed on 1845 abstracts written in Korean, and 13 topics were obtained from the labeling process. This study broadens the understanding of domestic artificial intelligence research by identifying research trends through dynamic topic modeling from abstracts as well as the degree and characteristics of research collaboration through institutional collaboration networks from author affiliation information. In addition, the results of this study can be used by governmental institutions for making policies in accordance with artificial intelligence era.
Abstract
After the pandemic, universities are shifting to distance learning, and the information use environment of libraries is rapidly changing. Therefore, there is a need for academic libraries to provide learning and research support services to users in response to these changes. This study analyzed the following contents, focusing on the contents of online services of academic libraries in order to understand the services provided by academic libraries after the pandemic, 1) the current status of online information services provided by 60 academic libraries at domestic and foreign and 2) the experience and requirements for using the online information services of academic library were investigated. As a result of the study, academic libraries at domestic and foreign responded to the untact environment by providing various online information services and users showed high experience and requirements for the electronic resource service and online user education service of academic libraries after the outbreak of the pandemic. Based on the analysis of the current status of online information services provided by domestic and foreign academic libraries after the outbreak of the pandemic, as well as the experiences and requirements of university students, several strategies were proposed to improve the quality of university education and library online information services and to plan services that respond to user needs.
Abstract
This study investigated the perceptions of librarians about Podcast and YouTube services in libraries. The study was designed by applying the Extended Technology Acceptance Model. Librarian’s personal, organizational, and social awareness of library Podcast or YouTube services and the degree of understanding of users and their needs on services were mediated by perceived usefulness or ease of services= and influenced to having intentions and providing the services. First, we investigated the types of Podcast and YouTueb services provided by 39 libraries in Korea. Also, we collected data using an online survey method from 181 librarians and conducted hierarchical multiple regression analysis. Findings showed that libraries are using Podcast and YouTube appropriately considering features and functions of media, mainly for library event information/promotion, library programs, book recommendations, and author (librarian) lectures or interviews. Organizational or social awareness of librarians, i.e., library educational support, human resource supports, librarian recognition, job-related features, and understanding of user perceptions and needs, influenced the intention to provide library services. Also, there was a difference in perceived usefulness and ease of services between librarians who provided Podcast and YouTube services and those who did not. We expect that findings could be used as references to understand and support various aspects of librarians in charge of developing and providing Podcast or YouTube services in libraries.
Abstract
This study analyzes the effects of community-level socioeconomic deprivations (SED) on public libraries’ book circulation in the Seoul metropolitan area. The study design draws upon the theory of local information landscapes, which explains the relationship between community characteristics and information behavior. Using four-year (2015-2018) open government and public library circulation data, we constructed a socioeconomic deprivation index by adjusting a multi-dimensional deprivation index and generated other variables. Multi-level robust linear regression models were used to examine the relationship between SED and public library circulation. In addition, we tested the moderating effects of the library collection size and the number of libraries per unit area, respectively, on library circulation. The results show that there is a significant negative relationship between socioeconomic deprivation and library circulation rate. Also, we found that the size of the library collection negatively moderates the effects of SED in areas with a large number of books, and the number of libraries per unit area was positvely related to the library book circulation, not moderating the effects of SED. These findings suggest that public libraries and policymakers should consider community characteristics in designing strategic plans for public libraries.
Abstract
In this study, in order to practice the social inclusion of libraries, the related policies currently announced in the 3rd Comprehensive Library Development Plan were examined, and the current status of tasks promoted by central administrative agencies and metropolitan and provincial libraries was examined based on these policies. As a result, first, in terms of active information welfare realization, various programs and services are being implemented to bridge the knowledge and information gap, but it seems that the scope of the target should be expanded in the future, cooperation with related organizations, and infrastructure improvement. Second, in terms of expanding the openness of the space, the expansion of the open space as an open space and the application of universal design are being performed. In the future, it seems that the scope of universal design application should be expanded in consideration of budget investment for continuous space reconstruction and diversity of users. Third, in terms of linking services across boundaries, services and programs are provided to infants and toddlers, children, women, the elderly, the underprivileged, job seekers, and multicultural families. In the future, it seems that the improvement of the service system for the expansion of inclusive services in libraries should precede, and cooperation between related ministries should be made to provide differentiated services. Finally, it is expected that future policy-making tasks for social inclusion should be considered not only for books, programs, and spaces, but also for librarians' education, establishment of cooperative networks with related organizations, and marketing for services and programs.
Abstract
Due to the global pandemic caused by COVID-19 in 2020, there have been major changes in the education sites. Universities have fully introduced remote learning, which was considered as an auxiliary education, and non-face-to-face classes have become commonplace, and professors and students are making great efforts to adapt to the new educational environment. In order to improve the quality of non-face-to-face lectures amid these changes, it is necessary to study the factors affecting lecture satisfaction. Therefore, This paper presents a new methodology using big data to identify the factors affecting university lecture satisfaction changed before and after COVID-19. We use Topic Modeling method to analyze lecture reviews before and after COVID-19, and identify factors affecting lecture satisfaction. Through this, we suggest the direction for university education to move forward. In addition, we can identify the factors of satisfaction and dissatisfaction of lectures from multiangle by establishing a topic classification model with an F1-score of 0.84 based on KoBERT, a deep learning language model, and further contribute to continuous qualitative improvement of lecture satisfaction.
Abstract
The aim of this study is to classify the structure levels and types of the reading program in the secondary school library. The object of analysis is the practice case of the reading program included in ‘Occupying School Library by 1318 Bookworms’ for recently 10 years. There are 375 cases. According to the analysis result, most of the reading programs have three layers made up of ‘blend title- reading activities- educational activities’. And there are classified into eight types (lecture, viewing, presentation, exhibition, making sth, debating, answering a quiz, experience) of the reading activities. The type of reading program depend on how to combine to the educational activities(reading, writing, listening, watching, speaking, making). This attribute of educational activities match up with modularity, completeness itself and organizing system. Through modular process of educational activities, it’s possible to design their own reading programs based on the reading activity by adding, compensating other educational activities.