• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.141-148
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• 2019

The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

• Convergence Security Journal
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• v.5 no.2
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• pp.37-42
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• 2005

Development of Information Technology and knowledge information society transfer brought huge change of education training field. According as Ubiquitous society approaches, e-Learning will be evolving by u-Learning. This presages in other form with present that professor-learner environment may change. This study proposes and embodied administration method of various studying contents by development of Learning environment, And through operation platform analysis, proposed LMS that can do practical use of contents efficiently.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.35-44
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• 2014

School education is changed to the learner-centered on 21th century knowledge base information-oriented society. The construction of infrastructure for smart education in the field of education has enabled various educational approaches using this and self-directed learning depending on the levels of learners. Thus, this study created the contents by applying ePUB format based-authoring tools for e-books to subject learning and analyzed the effect on the development of self-directed learning ability of learners. It was confirmed that the experimental group improved the self-directed learning ability better than the control group through e-book making activities from learning results on social studies and history curriculum of fifth graders. The result of this study showed a high level of satisfaction in all the subgroups of self-directed learning ability such as intrinsic motivation, openness to learning opportunities and autonomy.

• International Journal of Contents
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• v.18 no.2
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• pp.47-57
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• 2022

e-Learning content can be defined as digital content to achieve educational goals. Since it is an educational material that can be distributed in offline, online, and mobile environments, it is important to create content that meets the learner's education environment and educational goals. In particular, if the learner is a public official, the vision, philosophy, and characteristics of each local government must reflect. As non-face-to-face online education expands further due to the COVID-19 pandemic, local governments that have relied on onsite education in the past urgently require developing strong basic competency education and special task competency content that reflect regional characteristics. Such e-learning content, however, hardly exists and the ability to independently develop them is also insufficient. In this circumstance, this case study describes the process of self-production of e-learning content suitable for Busan's characteristics by the Human Resource Development (HRD) Institute of Busan City, a local government. The field of instructional design and instructional technology is always evolving and growing by blending technological innovation into instructional platform design and adapting to the changes in society. Busan HRD Institute (BHI), therefore, tried to implement blended learning by developing content that reflected the recent trend of micro-learning in e-learning through a detailed analysis. For this, an e-learning content developer with certain requirements was selected and contracted, and the process of developing content through a collaboration between the client and developer was described in this study according to the ADDIE model of Instructional Systems Development (ISD).

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.119-126
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• 2012

The purpose of this study is to test the motivations for e-Learning service usage of smart device users. To do this, empirical data were collected by conducting a field survey with 382 smart-device based e-learners, and structural equation model was used for the purpose of analyzing the data acquired by the survey. A structural equation model was designed and constructed by such factors like usefulness, enjoyment, word-of-mouse(WOM) effect, and social interaction on e-Learning usage intention. In addition, social interaction has an influence on WOM effect. The results of the analysis are summarized as follows; first, usefulness, enjoyment, and WOM have direct effects on e-Learning usage intention. Second, social interaction not only has direct influence on e-Learning usage intention but also has indirect influence carried by WOM effect. The findings have significant implications which the study inquires into the factors for e-Learning usage motivations of smart-device based e-learners.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.85-97
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• 2019

In this study, we developed the Field-Experiential Learning Framework Using the Location Based Mobil-learning System (LBMS) and it is mobile Augmented Reality (AR) for smart learning system which is advanced e-learning. AR is technology that seamlessly overlays computer graphics on the real world. LBMS-AR has become widely available because of mobile AR. Mobile AR is possible to get information from real world anytime, anywhere. Nowadays, there are various areas using AR such as entertainment, marketing, location-based AR. We analysed the result of survey and implemented the functions. Also, for survey about application's effectiveness, we have focus group interview (FGI). Then we demonstrated and explained the application to them. The result of survey about application's effectiveness shows that application have higher utilization in education area. One of the most promising areas is education. AR in education shows lifelike images to users for realism. It's a good way for improving concentration and attention. We utilize only a beacone for image-based AR without other sensor.

• 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.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.25-33
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• 2018

As the IT industry develops, The field of e-learning based on existing theoretical subjects has expanded to fields requiring actual education. Courses that require practical training in e-learning must be evaluated to have learning outcomes through on-line practice. In this research, a student at Cyber University mechatronics engineering studies 'PLC Control' and 'Servo Motor Control', which are subjects of the undergraduate major, through 'Prime College's CyberLAB' for learning by e-learning investigated whether there was a learning result. For this reason, CyberLAB was conducted. And for the students who took the course for two years, We confirmed through the 5 - point scale questionnaire and grades that the practical subjects had a significant effect on e - learning.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.324-329
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• 1992

A physical phenomenon is observed through analysis of the Hodgkin-Huxley's model that is, according to Maxwell field equations a fired neuron can yield magnetic fields. The magnetic signals are an output of the neuron as some type of information, which may be supposed to be the conscious control information. Therefore, study on neural networks should take the field effect into consideration. Accordingly, a study on the behavior of a unit neuron in the field is made and a new neuron model is proposed. A mathematical Memory-Learning Relation has been derived from these new neuron equations, some concepts of memory and learning are introduced. Two learning theorems are put forward, and the control mechanisms of memory are also discussed. Finally, a theory, i.e. Neural Electromagnetic(NEM) field theory is advanced.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.129-134
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• 2024

Object Detection is an emerging technology in the field of Computer Vision and Image Processing that deals with detecting objects of a particular class in digital images. It has considered being one of the complicated and challenging tasks in computer vision. Earlier several machine learning-based approaches like SIFT (Scale-invariant feature transform) and HOG (Histogram of oriented gradients) are widely used to classify objects in an image. These approaches use the Support vector machine for classification. The biggest challenges with these approaches are that they are computationally intensive for use in real-time applications, and these methods do not work well with massive datasets. To overcome these challenges, we implemented a Deep Learning based approach Convolutional Neural Network (CNN) in this paper. The Proposed approach provides accurate results in detecting objects in an image by the area of object highlighted in a Bounding Box along with its accuracy.