• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.209-214
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• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.155-160
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• 2007

A learning resource is a SCO or a collection of on or more assets in the SCORM. A storage policy is required to search rapidly and reuse assets in e-learning environment. However there are not research results about it. In this paper, We propose a storing method for assets based on cluster and define the mathematical formulation of it. Also, we present criteria for assets evaluation and describe procedure to evaluate each asset. We show that the search based on proposed cluster storing method increase performance than the categorization search through performance evaluation.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.283-291
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• 2007

In the age of ubiquitous computing, computer systems will be seamlessly integrated into our everyday life, providing services and information to us in an anywhere, anytime fashion. This ubiquitous computing can be used for developing a ubiquitous learning (U-learning). In this paper, we present a framework for U-school in which ubiquitous computing technologies are applied to advance the existing ERSS (Korea's Educational Resources Sharing System). Our framework applies mobile, sensor, and context-aware technologies to the existing ERSS. This framework presents a user-centric learning environment, using user-centric scenario. The U-school with context-aware services therefore can lead to the just-in-time learning or learner-led learning based on dynamic contexts acquired from learners, teachers and computing entities.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.216-222
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• 2021

Advances in technology have given educators a tool to empower them to assist with developing the best possible human resources. Teachers at universities prefer to use more modern technological advances to help them educate their students. This opens up a necessity to research the capabilities of cloud-based learning services so that educational solutions can be found among the available options. Based on that, this essay looks at models and levels of deployment for the e-learning cloud architecture in the education system. A project involving educators explores whether gement Systems (LMS) can function well in a collaborative remote learning environment. The study was performed on how Blackboard was being used by a public institution and included research on cloud computing. This test examined how Blackboard Learn performs as a teaching tool and featured 60 participants. It is evident from the completed research that computers are beneficial to student education, especially in improving how schools administer lessons. Convenient tools for processing educational content are included as well as effective organizational strategies for educational processes and better ways to monitor and manage knowledge. In addition, this project's conclusions help highlight the advantages of rolling out cloud-based e-learning in higher educational institutions, which are responsible for creating the integrated educational product. The study showed that a shift to cloud computing can bring progress to educational material and substantial improvement to student academic outcomes, which is related to the increased use of better learning tools and methods.

• Journal of Korean Academy of Nursing
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• v.38 no.1
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• pp.152-160
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• 2008

Purpose: It has been attempted to support mother of premature infants by providing information of premature infant care using e-Learning because premature infants need continuous care from birth to after discharge. Method: The e-Learning Program for mother of premature was developed with Xpert, Namo web editor, Adobe Photoshop, and PowerPoint and applied for 4 weeks from 4 to 30 September 2006. Result: 1) We found that the contents of information which premature infants' need when being in the hospital and after discharge were the definition of a premature infant, orientation of NICU, care of premature infants, care of premature infants' common diseases, the connection of healthcare resources, exchange of information, and the management of rearing stress. 2) The program content consisted of cause of premature birth, comparison to full-term baby, physiology character, orientation of NICU, common health problems, follow up care, infection control, feeding, normal development physically and mentally, weaning method, and vaccination. Conclusion: Considering the results, this program for mother of premature is a useful means to provide premature-care information to mothers. This information can be readily accessible and can be varied and complex enough to be able to help mothers to the information and assistance they require.

• Journal of Digital Contents Society
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• v.17 no.4
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• pp.243-255
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• 2016

The purpose of this study is to develop the components and design strategies of e-learning content for the development of interpersonal competency, one of NCS vocational core competencies. In order to standardize the educational curriculum and content of interpersonal competency, this study has referred to the educational handbook of NCS vocational core competencies that the Human Resources Development Service of Korea has developed. Based on such standardized content, e-learning content components and design strategies were extracted by analyzing related studies and e-learning cases as well as by conducting surveys and interviews with experts and instructors of the field. Applying components and design strategies extracted through those investigations, the e-learning content for the development of interpersonal competency was developed. Its design's validity and educational effect were evaluated by interviews and surveys with students, professors, and experts. The evaluation results show that the e-learning content was appropriately designed and was effective in learning interpersonal competency as one of NCS vocational core competencies.

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.1-8
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• 2005

E-learning is the application of e-business technology and services to teaching and learning. It use of new multimedia technologies and Internet to improved the qualify of learning by facilitating access to remote resources and services. In this paper, we show a computer-based test system, which is carefully designed and implemented. The system consists of a contents delivery mechanism, computer-adaptive test algorithm, and review engine. In this papepr, we describe what are points to be considered when design and implementing a computer-based test system. In addition, this paper shows how to control the bias value for computer-adaptive algorithm using real data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.818-823
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• 2009

Web is greatly contributing in providing a variety of information. Especially, as media for the purpose of development and education of human resources, the role of web is important. Furthermore, E-Learning through web plays an important role for each enterprise and an educational institution. Also, above all, fast and various searches are required in order to manage and search a great number of educational contents in web. Therefore, most of present information is composed in HTML, so there are lots of restrictions. As a solution to such restriction, XML a standard of Web document, and its various search functions is being extended and studied variously. Moreover, any technology, AJAX, and the old and new technology has two sides. The technology already exists, and it was not even considered before, because new technology is combined technologies. AJAX is a lot of Web 2.0 and Web technologies complement are combined. This paper proposes a search system able to search XML, AJAX in E-Learning or various contents of non-XML.

• Journal of the Korea society of information convergence
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• v.1 no.1
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• pp.41-46
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• 2008

Contents application from contents development of web technical base and with the operation different environment information of the educational resources integration the importance and necessity of the management central chain e-Learning system will be able to operate are raising its head with base. Is the actual condition which develops the development process where but, the education application currently is not standardized in base. Approaches with an educational domain from the present paper consequently, and defines MDA(Model Driven Architecture) coats e-Learning System. Also uses a studying contents standard metadata and about the contents storage space analyzes and plans the core property which uses MDA automatic tools leads and under developing boil e-Learning System will be able to provide the contents which does in actual professor own necessity.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.143-143
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• 2022

Precipitation plays an essential role in water resources management and disaster prevention. Therefore, the understanding related to spatiotemporal characteristics of rainfall is necessary. Nowadays, highly accurate precipitation is mainly obtained from gauge observation systems. However, the density of gauge stations is a sparse and uneven distribution in mountainous areas. With the proliferation of technology, satellite-based precipitation sources are becoming increasingly common and can provide rainfall information in regions with complex topography. Nevertheless, satellite-based data is that it still remains uncertain. To overcome the above limitation, this study aims to take the strengthens of machine learning to generate a new reanalysis of precipitation data by fusion of multiple satellite precipitation products (SPPs) with gauge observation data. Several machine learning algorithms (i.e., Random Forest, Support Vector Regression, and Artificial Neural Network) have been adopted. To investigate the robustness of the new reanalysis product, observed data were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the machine learning model showed higher accuracy than original satellite rainfall products, and its spatiotemporal variability was better reflected than others. Thus, reanalysis of satellite precipitation product based on machine learning can be useful source input data for hydrological simulations in ungauged river basins.