• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.487-495
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• 2011

In this study, we analyzed student satisfaction and effectiveness regarding the Center for Teaching and Learning Support where students are using educational information. Based on the analysis, the purpose of this study was to identify the requirements for the improvement to enhance the educational support by the Center for Teaching and Learning Support. As a result, it was shown that satisfaction and effectiveness as well as requirement for improvement were different depending on school level. Therefore, it is necessary for the Center to enhance the services appropriate for each school level rather than unified services. In other words, the improvement is required to enhance the fun and interesting aspects for elementary and middle school students, and the effort is required to enhance the quality aspect of information for high school students when educational information is provided.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1663-1672
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• 2021

There are various typing practice applications. In addition, research cases on learning applications that support typing practice have been reported. These services are usually provided in a way that utilizes their own built-in text. Learners collect various contents through web services and use them a lot for learning. Therefore, this paper proposes a learning application to increase the learning effect by collecting vast amounts of web content and applying it to typing practice. The proposed application is implemented using Tkinter, a GUI module of Python. BeautifulSoup module of Python is used to extract information from the web. In order to process the extracted data, the NLTK module, which is an English data preprocessor, and the KoNLPy module, which is a Korean language processing module, are used. The operation of the proposed function is verified in the implementation and experimental results.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.315-320
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• 2021

Currently, cloud computing is being used as a technology that greatly changes the IT field. For many businesses, many cloud services are available in the form of custom, reliable, and cost-effective web applications. Most cloud service providers provide functions such as IoT, machine learning, AI services, blockchain, AR & VR, mobile services, and containers in addition to basic cloud services that support the scalability of processors, memory, and storage. In this paper, we will look at the most used cloud service providers and compare the services provided by the cloud service providers.

• Journal of Internet Computing and Services
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• v.7 no.6
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• pp.131-141
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• 2006

In many papers, item difficulty does apply to the E-Learning system for advance learning effect. But there have to need item revision difficulty for more correct item difficulty. Also, there have to support self-directed learning process which learner can make plan and operate learning progress. In this research, I developed self-directed E-Learning system using item revision difficulty. For efficiency of system development, il is implemented and composited by component based development. In the applied result, it was able to support more correct item revision difficulty to learner. And I displayed efficiency of operation the component based self-directed learning system.

• Journal of the Korean housing association
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• v.21 no.4
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• pp.41-50
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• 2010

In recent study, we are referencing the necessity by examining the environment for housing policies for elderly Koreans. In reality, Japan, who is ahead of our country, has already experienced and is currently in progress for the aging society. They have developed a profound housing policy under all circumstances with the change of aging society. There forth, we are in progress of examining the series of helpful characteristics being presented by Japan, and how they have expanded and improved their housing support services. Our country must clearly ensure a resolution for investigating a new direction in housing policy and housing support services by learning through the development process of Japan's housing support services for the aging society. For instance, Japan have provided housing policy in both housing and welfare for senior citizens. Recently, the reason they are well adjusted for housing and welfare linked with special care and supportive living services and being skillfully focused on the maintenance policy is because they have great implications on how to successively organize housing policies for the aged society. Recent studies show preferred living arrangement and housing policy of the elderly for stabilization in the aging society. First, must be aware of the leading factors for housing in later life, organize dwelling patterns for diverse characteristics and give consideration for future life plans. Second, must continuously maintain an accessible environment in all community levels without changing the required services in their livelihood by adjusting to diverse changes for the aged. In addition, must organize flexibility in choice following these housing-support services for the elderly's desire and self reliance which raises profound questions on cultural policy.

• Journal of Information Science Theory and Practice
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• v.6 no.1
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• pp.45-64
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• 2018

The global information economy is transforming the way people connect with each other, learn new things, and contribute to the knowledge society. With the online platform, library services have also expanded beyond face to face interaction. Although studies of virtual reference services have been made in different parts of the world, a case study discussing various forms of online reference engagement in Kazakhstan has not been written. While most of the theories on connectivism emphasize the context of instruction, the researchers of this paper discussed the tenets as they relate to online engagement. Applying the theory of connectivism, this paper explores through a mixed method the use of various online platforms to enhance engagement connecting library users to information. Findings revealed that differences in patterns of interactions as to platforms, types of queries, and users reveal that students, faculty, and other members of the academic community served by the library have various preferences for communication. The case study further showed that respondents have not maximized the use of VLS but interest in using both synchronous and asynchronous services is clear. Finding connections between sources of information, creating useful information patterns, is essential in learning. Amplifying awareness on the use of VLS giving emphasis to the unique features of each service is useful in order to enable students to see how this platform facilitates learning.

• Journal of Korea Multimedia Society
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• v.9 no.11
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• pp.1496-1502
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• 2006

Researches, studies, and most administration services at the universities are currently carried out through computers. So the IT infrastructure and. the information system of the university are becoming complicated. When a user has problems in using the information system, it is very difficult to get solution for that problem even a computer center or a help desk exists. In this paper we propose a method to establish a service desk based on the ITIL(Information Technology Infrastructure Library) to support efficient learning at the universities. The proposed method in this paper can be used to establish a systematic learning support system when errors of computation happen in learning, researches, and administrative tasks at the universities.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.235-245
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• 2011

Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.59-66
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• 2022

This research conducted a study classifying gender of speakers by analyzing feature vectors extracted from the voice data. The study provides convenience in automatically recognizing gender of customers without manual classification process when they request any service via voice such as phone call. Furthermore, it is significant that this study can analyze frequently requested services for each gender after gender classification using a learning model and offer customized recommendation services according to the analysis. Based on the voice data of males and females excluding blank spaces, the study extracts feature vectors from each data using MFCC(Mel Frequency Cepstral Coefficient) and utilizes SVM(Support Vector Machine) models to conduct machine learning. As a result of gender classification of voice data using a learning model, the gender recognition rate was 94%.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.143-154
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• 2019

The purpose of this study is to explore innovative adaptation of IT systems worldwide to support process-focus assessment. To this end, the study presents four cases from Australia, Singapore, the U.S.A., and Korea to inform educational policy and technology researchers and practitioners. Based on comparing the four chosen cases as benchmarks, the study concluded that IT systems and technologies can expedite and improve school interventions to enhance student learning in terms of time and quality. Also, educational big data and learning analytics can be used to systematically monitor and communicate individual student's progress among school stakeholders (i.e., teachers, students, parents, and administrators). Lastly, the study made some suggestions to support process-focused assessment in schools as following : 1) A more evidence-based, systems approach is needed to integrate the curriculum, instruction, and assessment to bridge the gap between educational policy and school practice; 2) It is critical to create ICT-friendly school environments so that meaningful data could be collected, analyzed, and stored from individual students and school units; 3) Teacher professional development is another area that needs special considerations and support to successfully implement process-focused assessment in schools.