• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.3
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• pp.105-113
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• 2017

Considered as the "new normal" mode of learning, BL has become popular in recent years especially in University education. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. BL allows for more interactive and reflective learning environment resulting in enhancing learner-directed learning. The adoption of BL in university has made it significant to probe the crucial determinants that would entice instructors and learners to use BL and enhance learning satisfaction. The primary purpose of this study is to investigate the affecting factors of the satisfaction of BL in universities in terms of leaner's aspects. Learner's role is very important in BL, because learner should self-directed study for effective performance and satisfaction in BL environment. Based on prior studies motivation, self-efficacy, and educational expectancy were identified as affecting factors of satisfaction in BL. According to the result of multiple regression, all factors(motivation, self-efficacy, and educational expectancy) were found to be significantly related to the learner's satisfaction in BL. It can provide practical guideline on effective operation strategy for BL in universities.

• The Journal of Korean Association of Computer Education
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• v.7 no.4
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• pp.77-91
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• 2004

The standardization of learner information is needed for exchanging learner information in e-learning system with another educational institution. And also it is needed for providing customized educational service to the learner's characteristics. The purpose of this study is to develop standardization model of learner information that is focused learner's characteristics and performance in higher educational situation. Earlier researches related to the standardization of learner information are analyzed and added some ideas from instructional theory for dealing with meaningful information about learners. The draft standardization model of learner information with 33 of items in 3 areas is proposed. For the validation of this model proposed, we surveyed from 26 of universities that have been experienced e-learning service. It was divided into mandatory and optional items to the result of the survey.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.25-31
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• 2008

It is important for users to be confirming in e-Leaning system, because legitimate learner should be joined to the system for teaming and testing Thus, most system for authentication was verified using id and password with learner's id and password. In this case, It can be easy for hackers to steal learner's id and password. In addition, soma learner gets another to sit for the examination for one with another person id and password. For the solution like this problem it needs a biometrics authentication for complement. This method is required so much extra cost as well as are an unwanted concern. Therefore, we proposed keystroke technique to decide which learners are righteous or unlawful in this paper. In addition, we applied statistics and neural network for the performance of keystroke system. As a result, the performance of FAR and FRR in keystroke authentication was increased by proposed method.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.21-26
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• 2022

This study touched on the effect of the different electronic course designs on the programming skills of university students. The researcher used the experimental research design of a quasi-experimental of two experimental groups to achieve the objectives of the study. The first group underwent an electronic course designed in the holistic pattern, and the second group was taught a course in a sequential pattern. This experimental design was intended to measure the impact of these two learning modes on the learners' cognitive and performance achievement of programming skills. An achievement test and observational form were the data collection tools. Data were analyzed statistically using Pearson correlation, Mann Whitney Test, and Alpha Cronbach. The findings revealed statistically- significant differences between the mean scores of the students of the first and second experimental groups in favor of the former concerning the observational form and the latter in the cognitive test. Based on the findings, some recommendations are suggested. Due to their effectiveness in the educational process, expanding using the e-courses at universities is vital. The university teachers are highly recommended to design e-courses and provide technical and material support to the e-courses user to fulfill their design purpose.

• Korean Journal of Adult Nursing
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• v.20 no.5
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• pp.778-790
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• 2008

Purpose: This study was conducted to develop Web-based multimedia contents for supporting student nurses' clinical practice on critical care, and to evaluate learners' responses. Methods: Based on the steps of Assessment, Design, Development, Implementation, & Evaluation(ADDIE) model, a total of 13 self-directed learning modules including live lectures and real video clips were developed through faculty collaboration of nine nursing colleges in Gwangju and Chonnam province. The finally developed multimedia contents were published on the Web of the learning management system at a local e-learning center. Results: The Web contents were evaluated after self-learning by 81 junior college nursing students who were encouraged to study it at their own pace during their two-week clinical practice at a medical or surgical intensive care unit of a university hospital and two hospitals. The knowledge (t = -27.66, p < .001) and self-evaluated clinical performance level(t = 7.54, p < .001) were significantly increased after learning of the Web contents and clinical practice, and satisfaction level that measured post-test only was 4.0 out of 5 point. Conclusion: The use of Web contents for critical care need to be extended as a complimentary material in a class room lecture or clinical practice of students to increase their self-learning ability and understandings of clinical knowledge and situation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.557-562
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• 2020

In the non-face-to-face learning environment forced into effect by the COVID-19 pandemic, online learning is being adopted as a major educational technique. Given the lack of research on how online learning patterns affect academic performance, this study focuses on the number and duration of online video learning sessions as a major factor based on midterm and final exams, and with a formative assessment for each type of learning. The correlation of the learning effects was analyzed. The analysis focused on computer programming subjects, which are among the most difficult liberal arts subjects for arts and science students at the university level. The analysis of cases of actual students showed no correlation among weekly formative assessments, the number of learning sessions, and the learning duration. On the other hand, the number of learning sessions (r=.39 p<0.05) and learning duration (r=.42 p<0.05) were correlated with the midterm and final exams. Elements, such as SMS text, bulletin board, and e-mail, were excluded from the analysis because not all students have access to them. Therefore, the results can be improved if future analysis of the students' learning patterns in a non-face-to-face lecture environment is performed considering more factors/elements and the learners' needs.

• Journal of Digital Contents Society
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• v.2 no.1
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• pp.73-79
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• 2001

Most of the existing algorithms try to disseminate the multimedia contents of internet service provider(ISP), without taking into account the needs and characteristics of specific websites including e-learning systems with web-based .educational contents. Sometimes the client must select the best one among the replicated repositories. However, this is a less reliable approach because clients' selections are made without prior information on server load capacity. In this paper we propose an agent system inspired by the need of improving QoS of delivering web-based educational multimedia contents without incurring long access delays. This agent system consists of three components, Analyzer, Knowledge Base, and Automaton embedded the capacity algorithm. It analyzes and investigates traffic information collected from individual replicated server by learners' requests, and selects a server which is available and is expected to provide the fastest latency time and the lowest loaded capacity, and achieves high performance by dynamic replicating web resources among multiple repositories.