• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.160-170
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• 2022

COVID pandemic has reshaped the world as it has been known to us and the education system is one of the most affected by it. Due to social distancing, quarantines and isolations have made it impossible for the knowledge transition to the masses using conventional methods. For cope with pandemic, the only other way available for some of the fortunate countries is the use of E-learning having somewhat the same traditional teaching method. This paper is concerned with the study of the preparedness of the learning system in some Sudanese universities due to the impact of the COVID-19 pandemic. Critical analysis has been performed to evaluate the current developing scenario, usage of the facilities available in open-source platforms, and the interaction of the universities folks with e-learning systems. The impact of such measures has been thoroughly investigated in this paper for Sudan which is already deprived of a proper education system. The investigation shows that the interact of the staff and the students with the system was acceptable where more than 85% of those enrolled to the system were interact properly and efficiently. The lecturers conducted through the platform were attended with more than 75% of the students. We also found that most of the lecturer were avoid to exam students by utilize the platform; where only 45% of the uploaded courses were conducted exams over Moodle platform. As Moodle is an open source and still need to be improved to be used for high examination credibility.

• Journal of Korea Game Society
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• v.15 no.1
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• pp.155-170
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• 2015

This study aims to investigate the Learning and fun aspects of dance games by examining their instructive values. Dance Central 2 was analysed with a focus on its educational functions by observing dance moves. Therefore this study looked into the game's educational elements that create learning effects and fun elements that attract continuous and voluntary participation. Analysis was implemented based on the physical, cognitive, and emotional aspects for Learning elements and the aspects of graphics, sound, video, rewards, target-setting, difficulty levels, and control for fun elements. As a result, it was found that the practice and performance modes of Dance Central 2 have elements that can improve players dance skills. Of course, there may be difference in players' participation and effects depending on their goals and objectives. Consequently, the continuous use of the dance game supported by player's dance skills and commitment will improve learning.

• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.471-491
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• 2015

The purpose of this paper is to examine the structural relationship between the use of a web medium and learning commitment to develop creative talent for higher media integrated Korean classical literature education. For this we used DBs of The 'Encyclopedia of Korean Local Culture(a local culture DB)' built by the Academy of Korean Studies, and a survey was conducted on 418 high school students, attending a classical literature class which used a local culture DB. The result of this study demonstrates media usefulness of local culture DBs' positive effect on learning commitment. Specifically, media richness and media experience affects the learning commitment through the medium usefulness. These results indicate that in order to encourage learner's medium experience and increase medium richness it is necessary to increase the utilization of mediums, such as local culture DBs.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.6
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• pp.177-186
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• 2020

Recent advances in deep learning technology have improved image recognition performance in the field of computer vision, and serverless computing is emerging as the next generation cloud computing technology for event-based cloud application development and services. Attempts to use deep learning and serverless computing technology to increase the number of real-world image recognition services are increasing. Therefore, this paper describes how to develop an efficient deep learning based image recognition service system using serverless computing technology. The proposed system suggests a method that can serve large neural network model to users at low cost by using AWS Lambda Server based on serverless computing. We also show that we can effectively build a serverless computing system that uses a large neural network model by addressing the shortcomings of AWS Lambda Server, cold start time and capacity limitation. Through experiments, we confirmed that the proposed system, using AWS Lambda Serverless Computing technology, is efficient for servicing large neural network models by solving processing time and capacity limitations as well as cost reduction.

• Journal of The Korean Association of Information Education
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• v.15 no.4
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• pp.525-531
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• 2011

This study is about the system for knowledge management in the Wiki-based project learning. We implement the Wiki-based project learning system which is focused on a new Web paradigm and technology development to grasp the knowledge flow of a learner effectively under a project learning condition. Implementation of the system has used a Web 2.0 technology to easily understand SECI Knowledge Management types which form the Externalization, Combination and Internalization steps. Moreover, the system structure has been designed instinctively for harmonious knowledge use or reuse. As a result of the experiment, we found out that the collaborative knowledge steps moved along the flow of project learning.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.70-80
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• 2012

The marine life culture contents added with fun and learning factors are created in a 3D space, and the development of augmented reality contents concerning marine life resources in islands and the utilization method of experience-based learning are proposed. As a WYSIWYG-based authoring tool, an augmented reality authoring tool was made to easily use a authoring tool through a node structure and drag & drop. Marine life contents add the animation effect through a marker and event factors such as the change of modeling data, and also, they support real experience-based learning with the narration of marine life. Based on around 50 species of marine animals augmented reality contents, a marine animal AR book can be utilized as a textbook for elementary school classes, and as a 3D image education utilizing augmented reality, it enhances a learning effect by allowing realistic observation, various ways of thinking, and the maximum flow.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2101-2121
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• 2020

The rapid growth of instructional videos repositories and their widespread use as a tool to support education have raised the need of studies to assess the quality of those educational resources and their impact on the quality of learning process that depends on them. Khan Academy (KA) repository is one of the prominent educational videos' repositories. It is famous and widely used by different types of learners, students and teachers. To better understand its characteristics and the impact of such repositories on education, we gathered a huge amount of KA data using its API and different web scraping techniques, then we analyzed them. This paper reports the first quantitative and descriptive analysis of Khan Academy repository (KA repository) of open video lessons. First, we described the structure of repository. Then, we demonstrated some analyses highlighting content-based growth and evolution. Those descriptive analyses spotted the main important findings in KA repository. Finally, we focused on users' interactions with video lessons. Those interactions consisted of questions and answers posted on videos. We developed interaction profiles for those videos based on the number of users' interactions. We conducted regression analysis and statistical tests to mine the relation between those profiles and some quality related proposed metrics. The results of analysis showed that all interaction profiles are highly affected by video length and reuse rate in different subjects. We believe that our study demonstrated in this paper provides valuable information in understanding the logic and the learning mechanism inside learning repositories, which can have major impacts on the education field in general, and particularly on the informal learning process and the instructional design process. This study can be considered as one of the first quantitative studies to shed the light on Khan Academy as an open educational resources (OER) repository. The results presented in this paper are crucial in understanding KA videos repository, its characteristics and its impact on education.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1107-1116
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• 2016

Recent astronomical survey observations have produced substantial amounts of data as well as completely changed conventional methods of analyzing astronomical data. Both classical statistical inference and modern machine learning methods have been used in every step of data analysis that range from data calibration to inferences of physical models. We are seeing the growing popularity of using machine learning methods in classical problems of astronomical data analysis due to low-cost data acquisition using cheap large-scale detectors and fast computer networks that enable us to share large volumes of data. It is common to consider the effects of inhomogeneous spatial and temporal coverage in the analysis of big astronomical data. The growing size of the data requires us to use parallel distributed computing environments as well as machine learning algorithms. Distributed data analysis systems have not been adopted widely for the general analysis of massive astronomical data. Gathering adequate training data is expensive in observation and learning data are generally collected from multiple data sources in astronomy; therefore, semi-supervised and ensemble machine learning methods will become important for the analysis of big astronomical data.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.192-200
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• 2006

With the appearance of the Internet and the development of the World Wide Web, web-based education has made individual and selective learning centered on students in cyberspace available at any time and anywhere. In this paper, we design and implement courseware for a web-based 4th-year elementary school mathematics course. In order to make it as student-centered as possible, the courseware adopted learning activities using various Flash animation and design methodology to enhance students' interest to complete all parts of the course. When we gave our WBI courseware to 4th-year elementary school students to use, their achievement in the subject was greater than a group who studied with the traditional course. The results of the question investigation of the experimental group showed a positive reaction and increased educational achievements in the fields of comprehension, interest, convenience and reflection on self-directed learning.

• Human Ecology Research
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• v.58 no.4
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• pp.585-599
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• 2020

This study investigated children's interests in learning English, affected by educational activities in and out of institutes, and mothers' perceptions regarding early childhood English education. We recruited, 253 mothers of 3- to 5-year-old children in either general kindergartens or English immersion institutes. They answered questions on socioeconomic status, perceived interest in English by their children, their perceptions regarding early childhood English education, and English education outside institutes. In addition, 42 English teachers provided information within institutes such as class time per week, teacher-pupil rate, and language use policy during class. The collected data were analyzed through SPSS 22 for frequency analysis, descriptive statistics, independent t-test, and hierarchical multiple regression analysis. The major findings are as follows. First, the two groups were in distinct learning environment. Second, mothers' perceptions and outside-institute activities were significantly different between the two groups. Third, the English interests of children at both institutes were influenced by mothers' worries and at-home English interactions. Fourth, education within institutes did not affect both group's English interests. Fifth, private education and socioeconomic status did not affect both group's English interests. Lastly, only the children's interests in English immersion institutes were affected by gender and mother's perceived necessities. Focusing children's interests, this study helps in understanding young children's affective aspects regarding learning English. The findings are expected to be a guideline for each home and institute to increase children's interest in learning English.