• Journal of Digital Convergence
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• v.19 no.10
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• pp.63-73
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• 2021

Sudden implementation of online classes in higher education due to Covid19 pandemic implies a lot of worries about academic performance declining. Thus, this paper analyzed a class(CalculusI) taught 100% online which was the same as the offline class before. This class tried to maintain the same quality as the offline one by utilizing various teaching strategies. The result shows the academic achievement level was similar or higher than that of offline class, and so was the students' perception and satisfaction degree. However, this was not just the outcome of online class, but it came from the professor's well-designed teaching plan and smooth operation of the class. It implicates successful teaching methodology is more important factor than such medium difference as online or offline. This study suggests the potential of online classes after the Covid19 pandemic, and expects further studies verify the result in a lot more curricula.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.163-173
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• 2021

The purpose of this study was to explore a support model for domestic ICT companies to advance into overseas markets suitable for the post-corona era along with the rapidly changing global economic situation. As a result of the analysis, first, by analyzing the internationalization cases of domestic ICT companies through the realization theory, in the COVID-19 situation, domestic ICT companies organically respond to crisis situations through ad hoc responses, use of international networks, use of external organizations, and resource-based practices. Through qualitative analysis, we were able to confirm that we are growing overseas while achieving our goals. In addition, strategies for domestic ICT companies to grow through internationalization were derived. Ultimately, it was interpreted as a part that required advancement of government policy according to the government's overseas expansion support system.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.1-26
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• 2021

In most countries, public libraries have played a role as a hub of knowledge and information, complex culture of local communities, and a third place for meeting and communication. And recent public libraries are focusing on enhancing their core competencies and expanding services using digital technologies to meet the era of digital transformation and the 4th industrial revolution. However, after the COVID-19 pandemic occurred, all public libraries are repeatedly closed, reopened, and partially closed, and all resources are devoted to providing non-contact, digital and online alternative services, and are expected to continue in the future. As a result, future public libraries are bound to face a trilemma in which digital expandability, complex cultural space, and importance as a place of knowledge and information service are conflicting. This study discoursed on the public library trilemma in the post-COVID-19 era and suggested ways to overcome it. The orientation of the future public library is the fusion and harmony of multiplicity and multipurpose, place and space, knowledge & information and complex culture, face-to-face service and remote service. The main body of a public library is not the finger (digital and non-contact), but the moon (knowledge information center).

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.65-84
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• 2021

This study aimed to analyze the overall operation status of the Bank of Korea library representing the economic library in Korea, investigate user satisfaction and demand, and to propose a direction for the development of the economic library in the future. To this end, a case study was conducted on changes in the external environment of major libraries at home and abroad, and a user survey was conducted. As a result, the future tasks include introducing smart systems, robotics some library services, non-face-to-face service response spaces that reflect the times, introducing big data analysis services, strengthening user-tailored systems, and activating SNS communication. It proposed developing specialized libraries, online reference and research support services, and providing original DBs for publications to strengthen expertise, maintaining and expanding cloud services, maintaining and expanding cooperative projects, and collecting national knowledge and information.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.313-323
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• 2022

The purpose of this study was to explore ways a digital therapeutics-based community care plans for the rehabilitation in dysarthria in a situation where non-face-to-face services are expanding in the COVID-19 era. To this end, a qualitative study was conducted on experts working in hospitals, speech-language pathology centers, and social welfare centers, and as a result of the study, 3 topics, 9 sub-themes, and 18 content units were derived. Based on the analysis results, the digital therapeutics-based community care model consisted of 9 types: remote diagnosis, telepractice, rehabilitation training program, peer supporters, clinical support, communication, psychosocial intervention, and care plan services. This study will be able to provide basic data for health care & welfare services using digital therapeutics and guidelines for establishing shared care plans based on multidisciplinary cooperation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.496-498
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• 2022

With the prolonged spread of the new coronavirus infection worldwide and the entry of the super-aged society, smart health care, which combines IT technology for senior health care and the health care industry, is emerging as a solution to the aging problem. The development of non-face-to-face care services using Ai is on a global trend, not in some countries, and the form of care services for the elderly using AI artificial intelligence technology is changing rapidly. The convenience of AI-based care services for the elderly is expected to be highlighted, and the technology and market are expected to develop significantly. As the number of single-person households is increasing, the shortage of welfare workers for the elderly is emerging as a social issue. It is presented as a vision to solve long-term social problems such as the labor shortage of elderly care workers as well as the advantages of convenient care services using IT technology. Therefore, we would like to propose the development direction of care services for the elderly as a case study of care services for the elderly and a countermeasure against the super-aging age.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.3
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• pp.45-65
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• 2021

How are real libraries affected and what are they planning and working on in the current coronavirus era? Based on these questions, the purpose of this study was to analyze the Corona-related trends based on the 2020 implementation plan of the Library Development Comprehensive Plan and the 2021 implementation plan, and to analyze the impact and changes of the libraries in the city and the direction of corona response. The problems in the 2020 municipal libraries are largely attributed to the closure or curtailment of libraries due to the epidemic of coronavirus, budget cuts and budget limits due to coronavirus, declining users' interest and participation, infrastructure limits due to rapid service changes and operational limitations. Furthermore, the improvement measures and future plans could be divided into 1) development and provision of non-face-to-face programs; 2) development and provision of online-based services; 4) expansion of budget for response to demand; 5) provision of space against corona; and other response directions. In addition, in order to systematically cope with coronavirus in the future, it is expected that first, hybrid-type programs and services, second, infrastructure for online and non-face-to-face services, and third, budget utilization flexibility will be required.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.159-185
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• 2021

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.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.29-36
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• 2020

The background of this study is that machine learning administrative services are recently attracting attention as a major policy tool for non-face-to-face administrative services in the post-corona era. This study investigated the types of work expected to be effective when introducing machine learning administrative services for Seoul Metropolitan Government officials who are piloting machine learning administrative services. The research method is a machine that can be introduced by organizational unit by distributing and collecting questionnaires for Seoul administrative organizations that have performed machine learning-based administrative services for one month in July 2020 targeting Seoul public officials using machine learning-based administrative services. By analyzing the learning administration service and application service, the business characteristics of each machine learning administration service type such as supervised learning work type, unsupervised learning work type, and reinforced learning work type were analyzed. As a result of the research analysis, it was found that there were significant differences in the characteristics of administrative tasks by supervised and unsupervised learning areas. In particular, it was found that the reinforcement learning domain contains the most appropriate business characteristics for machine learning administrative services. Implications were drawn. The results of this study can be provided as a reference material to practitioners who want to introduce machine learning administration services, and can be used as basic data for research to researchers who want to study machine learning administration services in the future.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.511-523
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• 2022

This study was conducted using non-face-to-face care technology for the elderly with mild dementia and the physically weak living in the community, as various methods of care for the elderly have been raised due to the prolonged COVID-19. The purpose of this study is a similar experimental study before and after the inequality control group to compare cognitive function, daily living activities, and the degree of depression by applying an AI robot integrated management program using. The data was collected from June 4 to September 17, 2021, and the survey results of 17 people in the experimental group and 18 in the control group were analyzed using the SPSS 25.0 program. As a result of the study, the experimental group was significant in language function, activities of daily living, and depression. In particular, the results showed a decrease in moderate to severe depression and mild depression. Cognitive function was significant with long-term care grade and daily living activity with family living together. Therefore, if such non-face-to-face care technology is introduced to the elderly care field in the 'With Corona era', it is thought that it will contribute to cognitive function training and depression reduction of the elderly.