• International Journal of Internet, Broadcasting and Communication
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• v.4 no.1
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• pp.8-12
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• 2012

The purpose of this study is to review the possible effect of the learning paradigm shift from traditional method to ubiquitous learning. What are the societal issues that need to be address in order to design a new pedagogical platform trending from e-learning to m-learning and now the u-learning? That without the proper study of how learning environment may affect the learning process of an individual will lead to poor quality of education. This new era of learning environment offer a big opportunity for "anytime, anywhere" learning. Thus, Lifelong learning is at hand of everyone. Maximizing the benefit of new trend will be a great help and addressing the limitations will lead to quality education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.199-202
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• 2004

In order to efficiently provide the learning ability for engineering education, electromagnetic field simulator have been developed on lava 2 platform. Each simulation module based on lava applet can be easily utilized with independent platform and provide GUI environment to set up physical conditions. The numerical results using computer animation technique are provided in real time. To aggregate and manage the learning objects, application of SCORM which is e-Learning standards is also studied.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.860-863
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• 2003

인터넷과 정보 통신 기술의 발달은 컴퓨터 응용 및 컴퓨팅 환경에 상당한 변화를 가져왔으며, 여러 분야에서 이들 기술이 응용되고 있다. 고도로 발전하고 있는 정보통신 기술이 교육분야에 적용 및 활용되어 기존의 교육 패러다임에 상당한 변화를 초래함으로써, 새로운 교육형태의 교육체계 구현을 통해 교육 현장에 커다란 기여를 하고 있다. 대표적인 것이 원격교육을 비롯한 e-learning, 가상교육시스템 등이 있다. 인터넷과 컴퓨터가 보편화된 현재, 많이 연구 제안되고 구현이 되어서, 실제로 온라인 상에서 실시간 혹은 비실시간으로 학습교육시스템들이 서비스되고 있다. 본 논문에서는 기존에 많이 제안된 e-Learning시스템에 협력학습의 개념을 도입하여 교수-학습자 뿐 아니라 학습자-학습자간에 상호작용을 극대화하고, 한발 더 나아가 웹을 통하여 교수의 강의 내용을 학습자가 언제, 어디서든지 멀티미디어 데이터를 제공받아서 학습 및 평가 받을 수 있는 LOD(Lecture on Demand :주문형 강의)을 도입하여 협력학습을 지원하는 e-Learning 시스템의 LOD 플랫폼의 설계를 제안한다.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.258-266
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• 2024

E-learning systems have proliferated in recent years, particularly in the wake of the global COVID-19 pandemic. For kids, there isn't a specific online learning platform available, though. To do this, new conceptual models of training and learning software that are adapted to the abilities and preferences of end users must be created. Young pupils: those in kindergarten, preschool, and elementary school are unique subjects with little research history. From the standpoint of software technology, young students who have never had access to a computer system are regarded as specific users with high expectations for the functionality and interface of the software, social network connectivity, and instantaneous Internet communication. In this study, we suggested creating an electronic learning management system that is web-based and appropriate for primary school pupils. User-centered design is the fundamental technique that was applied in the development of the system that we are proposing. Test findings have demonstrated that students who are using the digital environment for the first time are studying more effectively thanks to the online learning management system.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.197-203
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• 2005

Interactivity is very important at ubiquitous e-Learning system oriented multi platform because online study is accomplished by multi media. In this thesis promotion for interactivity is designed at online study. By cyber education with supposed promotion used for a feedback. From now on a special research of study design should be made for interactivity and effectiveness using human sensibility ergonomics.

• The Journal of Korea Robotics Society
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• v.10 no.2
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• pp.90-95
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• 2015

The main goal of e-learning systems is just-in-time knowledge acquisition. Rule-based e-learning systems, however, suffer from the mesa effect and the cold start problem, which both result in low user acceptance. E-learning systems suffer a further drawback in rendering the implementation of a natural interface in humanoids difficult. To address these concerns, even exceptional questions of the learner must be answerable. This paper aims to propose a method that can understand the learner's verbal cues and then intelligently explore additional domains of knowledge based on crowd data sources such as Wikipedia and social media, ultimately allowing for better answers in real-time. A prototype system was implemented using the NAO platform.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.87-98
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• 2003

In recent years, e-Learning has taken an important position in the field of education. In turn, as the number of e-Learning contents continue to grow, many institutions are facing difficulty how to cut down the cost for content development and to reuse contents once made for the future courses. On of the way to solve this problem is to create technological standard for e-Learning contents and platform, for which e-Learning experts are actively participating around the world. The purpose of the study was to suggest technological standard for sharing e-Learning contents, especially among cyber universities which were established with the Life-long Education Act. To achieve the research objective, at first, we reviewed literatures related to the e-Learning standard, surveyed content management policies in cyber universities, and then made suggestions what to do for the standardization.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.66-76
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• 2021

The quality of the E-learning education in Saudi Arabia has been a major concern by many academicians, especially, and people in general as this platform has not been a priority for education. Not until recently, the world has been impacted by the Covid-19 pandemic, which makes every education institution shifted to the online platform to continue the education for the students. Thus, many studies on the perceptions on the online learning have been carried out, and though many are focusing on the perceptions by the education institutions' faculty and administration, there is a lack in the amount of study performed to analyse the students' perceptions of online learning during the pandemic time. The current study is conducted by utilising qualitative methods in order to collect information and investigate the students' perception regarding online learning during the pandemic Covid-19, based on their individual experiences. A number of fifteen (15) students were selected as respondents for the study, in which structured interviews were conducted by using a convenient sampling technique for data collection. Through the discussion, all of the positive and negative perceptions of online learning, as well as the factors contributing to those perceptions were identified. The results of the study found that the positive perceptions were contributed based on the flexibility, cost-effectiveness, availability of the electronic research databases, and well-designed online classroom interfaces. For the negative perceptions from using online learning platforms, the respondents informed that they were contributed by the lecturer's delayed feedback, lack of technical support by lecturers, low in self-esteem and self-motivation, feel isolated, one-way of educational methods, and poorly-designed class materials. Through the findings, the school's administration and lecturers would be able to know the struggles experienced by the students, and eventually come out with better solutions to improve their teaching methods.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.190-198
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• 2023

To enhance customer satisfaction for higher profits, an e-commerce sector can establish a continuous relationship and acquire new customers. Utilize machine-learning models to analyse their customer's behavioural evidence to produce their competitive advantage to the e-commerce platform by helping to improve overall satisfaction. These models will forecast customers who will churn and churn causes. Forecasts are used to build unique business strategies and services offers. This work is intended to develop a machine-learning model that can accurately forecast retainable customers of the entire e-commerce customer data. Developing predictive models classifying different imbalanced data effectively is a major challenge in collected data and machine learning algorithms. Build a machine learning model for solving class imbalance and forecast customers. The satisfaction accuracy is used for this research as evaluation metrics. This paper aims to enable to evaluate the use of different machine learning models utilized to forecast satisfaction. For this research paper are selected three analytical methods come from various classifications of learning. Classifier Selection, the efficiency of various classifiers like Random Forest, Logistic Regression, SVM, and Gradient Boosting Algorithm. Models have been used for a dataset of 8000 records of e-commerce websites and apps. Results indicate the best accuracy in determining satisfaction class with both gradient-boosting algorithm classifications. The results showed maximum accuracy compared to other algorithms, including Gradient Boosting Algorithm, Support Vector Machine Algorithm, Random Forest Algorithm, and logistic regression Algorithm. The best model developed for this paper to forecast satisfaction customers and accuracy achieve 88 %.

• Journal of Practical Engineering Education
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• v.8 no.1
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• pp.31-37
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• 2016

Five and above engineering courses were selected from each of exemplary international MOOC platforms, and common e-learning design strategies were drawn out through observing the courses and analyzing the course elements. By finding out both macro(platform) and micro(content) levels of designing strategies, this study suggests the direction for designing engineering courses incorporating e-learning nationally. The major trend of current e-learning design is to provide bite-sized contents rapidly created and to deploy instructional strategies for promoting student participation in learning and diverse and contextualized learning experiences.