• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.323-332
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• 2005

In this Paper, we design and implement an e-Learning system with dynamic learning contents Providing and re-time assignment system. The learner can select the dynamic learning contents Providing environments with test and Quiz Phase according to the learners' characters and interest to improve the learning effects. Also, we develop the real-time assignment system which is composed of multiple choice and essay test and can provide the interaction between teacher and learner immediately.

• 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 %.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.71-82
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• 2024

This paper proposes a new communication system for e-learning applications to mitigate the negative impacts of COVID-19 where the online massive demands impact the current commu-nications systems infrastructures and capabilities. The proposed system utilizes high-altitude platforms (HAPs) for fast and efficient connectivity provision to bridge the communication in-frastructure gap in the current pandemic. The system model is investigated, and its performance is analyzed using adaptive antenna arrays to achieve high quality and high transmission data rates at the student premises. In addition, the single beam and multibeam HAP radio coverage scenarios are examined using tapered uniform concentric circular arrays to achieve feasible communication link requirements.

• Journal of Information Processing Systems
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• v.13 no.1
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• pp.57-67
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• 2017

In this paper, Atanassov's intuitionistic fuzzy set theory is used to handle the uncertainty of students' knowledgeon domain concepts in an E-learning system. Their knowledge on these domain concepts has been collected from tests that were conducted during their learning phase. Atanassov's intuitionistic fuzzy user model is proposed to deal with vagueness in the user's knowledge description in domain concepts. The user model uses Atanassov's intuitionistic fuzzy sets for knowledge representation and linguistic rules for updating the user model. The scores obtained by each student were collected in this model and the decision about the students' knowledge acquisition for each concept whether completely learned, completely known, partially known or completely unknown were placed into the information table. Finally, it has been found that the proposed scheme is more appropriate than the fuzzy scheme.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.229-238
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• 2018

The purpose of this study is to investigate the mediating effect of learners' learning flow in the effect of presence on academic achievement in web-based e-learning. For this purpose, this study analyzed the influencing relationship between the each factor based on the structural model with the learning flow as a mediator variable. Based on existing theoretical studies, learning satisfaction and academic achievement, which represent learning outcomes, are set as dependent variables, and teaching presence, cognitive presence, and social presence are set as independent variables. Data collected from a total of 256 e-learning learners were used in the analysis of this study. According to the results of the analysis, teaching presence, cognitive presence, and social presence were found to have a significant effect on academic achievement when a learning flow is a mediator variable. Concretely, teaching presence, cognitive presence, and social presence have a positive effect on the learning flow, while learning flow has a positive effect on learning satisfaction. On the other hand, learning flow has a negative effect on academic achievement. As a result of verifying the mediating effect of learning flow on the relationship between presence, learning satisfaction, and academic achievement, there was meditating effect in the aggregate. This study implies that in order to increase the level of learning satisfaction and academic achievement, it is necessary to make the teaching-learning design in the provision of contents and materials for e-learning so that the learner can feel the presence. The results of this study can be used as a basic data for seeking support and promotion strategies for enhancement of future learning flow and presence.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.294-301
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• 2004

·Text-mining approach to e-documents organization based on topic hierarchy - Machine-Learning ＆ information Theory-based ㆍ 'Category(topic) discovery' problem → document bundle-based user-constraint document clustering ㆍ 'Automatic categorization' problem → Accelerated EM with CU-based active learning → 'Hierarchy Construction' problem → Unsupervised learning of category subsumption relation

• Journal of the Korean Society of Food Culture
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• v.25 no.6
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• pp.661-670
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• 2010

Although many studies have suggested that introducing the distance learning method, including Web-based learning, to a practice class is effective, studies applying the distance learning method to subjects who are practicing cooking are rare. The purpose of this study was to determine the perception of the distance learning method, the degree of computer use, and the use of distance learning by college students with cuisine-related majors to practice cooking. The results showed that most students used the distance learning method, and that the method was positively perceived, as it was a great aid in learning. Most of the cooking information was obtained through the internet, and the most effective learning media for practicing cooking was "e-learning" using a computer. The most effective learning method for those who were practicing cooking was a "face-to-face learning method", because face-to-face type of teaching and learning was most universally recognized. Most of the students surveyed responded that using the distance learning method was a positive experience, indicating that cyber lectures could be applied at more universities for subjects practicing cooking.

• Korean Medical Education Review
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• v.11 no.1
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• pp.21-33
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• 2009

The purpose of this study is to review a variety of e-learning use in medical education, and to analyze the e-learning related research in medical education, finally to discuss possibilities and limitations of e-learning in future. Subjects of this research are 46 papers published in Korean Medical Database, PubMed, MEDLIS, RISS4U. Content analysis of 46 papers have been conducted based on the period of research, research methods, research subjects, study personnel, effectiveness. The results are as follows. First, various e-learning, such as hyper-media, simulation-based medical education (SBME), game-based learning, web-based learning, computer-based test (CBT) are implemented in medical education. Second, 35 research (76.1%) has verified the positive effect of e-learning. Third, in the case of Korean studies, experimental studies (46.2%) in a short period (46.2%) of 50-100 people (42.3%) to take the most. As a result, it is reported a lack of theoretical discussion and insight on e-learning compared to foreign research. Educational paradigms are currently shifting from off-line to on-line, from traditional classroom lecture to e-learning. But e-learning is not a substitution to traditional teaching, but a matter of choice. The choice is up to medical professors and students.

• The Journal of Korean Association of Computer Education
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• v.13 no.4
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• pp.51-59
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• 2010

Many of learners in cyber universities have experienced the difficulties of learning and participation because they have never participated courses of cyber universities before. One of main reasons why they have experienced the difficulties was that they might have not received systematic guidances of university system as well as learning supports, depending on their readiness of e-learning. Otherwise, they may have lack of supports frequently and finally, fail to graduate. However, few studies were conducted to investigate the e-learning readiness of freshmen and enrollees in cyber universities. The purpose of the study was to analyze the e-learning readiness and learning activities of freshmen and enrollees of A cyber university and to support them more systematically and get them to succeed in studying. In the results, there were no differences between the freshmen and enrollees in basic competencies of cyber learning as well as interaction, task performance, and learning methods.

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.13-23
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• 2014

In the process of development the e-learning course at Cyber University, one important factor to be considered for the effective e-learning contents is the User Interface(UI) of the e-Learning content platform. The User Interface is important because the well-designed UI can help students to perform effectively and easily learning activities. Despite the importance of the usability, few attempts have been carried out to design the e-learning contents UI from the usability perspectives. Thus, the purpose of this study is to explore the usability design elements for the e-learning contents UI. For this purpose, a usability evaluation study on the e-learning contents UI of a cyber university at Seoul was conducted. Implications for the improvement of the current e-Learning contents UI was presented.