• Journal of Engineering Education Research
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• v.15 no.4
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• pp.109-117
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• 2012

The purpose of this study is to give the preliminary data and suggestion for introducing and spreading e-learning engineering education through analyzing learning behaviors, learning motivations, and satisfaction of e-learning engineering students. Especially, this comparative study analyzes each research domain according to majors and grades, thereby suggesting more specific and practical results. 2,745 students registered in 38 subjects of e-learning in 2 Universities were analyzed for this study. The study result shows that engineering students are attending around 2 e-learning subjects with a duration of about 30 minutes once a week. The main of learning motivation for e-learning was not easy test level and feasibility of acquiring credit but advantages of e-learning such as freedom of time and space, learning by repetition. The satisfaction scores of e-learning were lower compared to the aspects of system and contents Based on these results, first, an active spread of e-learning to engineering education is necessary because the demand from the engineering students is high enough and they have desirable learning behavior and learning motivation for it. Second, the characteristics of grades need to be taken into consideration on operation of e-learning. Third, a successful e-learning process needs more meticulous and active operation.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.127-133
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• 2005

With the increasing use of the Internet improved Internet technologies as well as web-based applications, the uses of e-Learning have also increased the effectiveness of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-leaner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on self regulated learning strategy. The former consists of LMS, learning contents and interaction that are provided by e-Learning and the latter refers to the learners' self-regulated learning strategy. We will show the validity of the model empirically. As result, most of the hypotheses except for H6 suggested in this model were accepted.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.14-23
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• 2010

Whether the engineering department of universities employs ideal usage of e-learning or not needs to be investigated as many engineering departments diversify the use of the e-learning elements for educational purpose. Applying the teaching and learning methods and characteristics would lead to better strategies which are applied to development of contents and deployment of the e-learning courses. This study examines the characteristics and approaches of the usage of e-learning elements used by some instructors who use multimedia contents in offline teaching and learning environment. The results of this study shows that the e-learning elements assist the face-to-face course and the interactions are manifested in the classroom rather than in online setting. Lecture, hands-on-practice, simulation, and PBL(Problem-based learning) are turned out to be the major teaching and learning methods. This study signifies the need for use of various teaching and learning methods by the instructors and provision of PBL environment.

• IE interfaces
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• v.19 no.4
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• pp.324-332
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• 2006

It is believed that each learner has a preferred method to acquire and manage knowledge according to her/his learning style which influences learning achievement directly. The purpose of this paper is to statistically analyze relationships among individual learning styles, tutoring functions, and learning achievement in an e-learning environment. 524 survey results from participants of enterprise e-learning classes are classified into total group and superior group. T-Test and ANOVA analyses are carried between learning style and learning achievement and between learning style and preferred tutoring functions. The analysis results show that individual learning styles do not contribute to learning achievement while they are strongly related to preferences for some of tutoring functions. These results can be used to identify limitation of current e-learning practice and design better e-learning systems, especially, supporting appropriate tutoring functions for different types of learners.

• The Journal of Information Systems
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• v.14 no.3
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• pp.109-116
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• 2005

With the increasing use of the Internet improved Internet technologies as well as web-based applications, the uses of e-Learning have also increased the effectiveness of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on the learners' self-efficacy. The former consists of LMS, learning contents and interaction that are provided by e-Learning and the latter refers to the learners' self-regulated learning strategy. In this study, academic performance was measured by student's real record. We will show the validity of the model empirically, and most of the hypotheses suggested in this model were accepted.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.559-570
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• 2005

This paper presents how to establish an efficient e-Learning environment using open source software. A LMS with additional functionalities on the top of dotLRN. which is a open source project for LMS, is presented. Additional functionalities include modification of the language for Korean, adoption of SCORM educational standard, and management of learning outcome. This system had been serviced for Kongju cyber university for one year on stable basis. The scope of this paper covers introduction, characteristics review, and the learner's learning outcome analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.109-112
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• 2008

최근에 대학교에서는 e-learning 수업이 활성화되고 있다. e-learning에서는 각 단원의 마지막에 단원평가를 실시하여 학생들의 수업에 대한 성취도를 평가하고 있다. 그러나 대부분의 e-learning 수업에서는 단원평가 점수를 최종 성적에 반영하고 있지 않고 있다. 이유는 단원평가 성적과 시험 성적과의 상관관계에 대한 정확한 데이터도 없고, 시스템성의 원인 때문으로 이해된다. 본 연구에서는 2학기에 걸쳐 e-learning으로 수업이 진행된 과목을 대상으로 단원평가 점수와 학업 성취도 사이의 관계를 분석하였다. 분석 결과는 상관관계는 유의미한 것으로 나타났다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.221-228
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• 2006

With the increasing use of the Internet improved Internet technologies as well as web-based applications, the effectiveness assessment of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on e-learning strategy. The former consists of learning management system, learning content quality and service quality that are provided by e-Loaming. The latter refers to the learners' self-regulated learning strategy. We will show the validity of the model empirically.

• Journal of Korea Multimedia Society
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• v.10 no.12
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• pp.1679-1686
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• 2007

In this paper, we introduce the sharable and reusable learning objects which are suitable for XML Web services in e-learning systems. These objects are extracted from the principles of pedagogical paradigms for reusable learning units. We call them LIO (Learning Item Object) objects. Existing models, such as Web-hosted and ASP-oriented service model, are difficult to cooperate and integrate among the different kinds of e-learning systems. So we developed the LIO objects that are suitable for XML Web services. The reusable units that are extracted from pedagogical paradigms are tutorial item, resource, case example, simulation, problems, test, discovery and discussion. And these units correspond to the LIO objects in our learning object model. As a result, the proposed model is that learner and instruction designer should increase the power of understanding about learning contents that are based on pedagogical paradigms. By using XML Web services, this guarantees the integration and interoperation of the different kinds of e-learning systems in distributed environments and so educational organizations can expect the cost reduction in constructing e-learning systems.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.49-56
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• 2011

Estimating optimum hardware capacity of an e-learning system is very important process to grasp reasonable size of designing technique architecture and budget during step of ISP(information strategic planning) and development. It hugely influences cost and quality of the whole project. While investment on information system hardware has been continuously increased, there was no certified hardware capacity estimating method in e-learning system development. A guideline for hardware sizing of information systems was established by Telecommunication Technology Association in 2008. However, the guideline is not appropriate for estimating optimum hardware capacity of an e-learning system because it was designed to provide general standards for estimating hardware capacity of various types of projects. The purpose of this paper is to provide a methodology for estimating optimum hardware capacity in e-learning system development. To develop the methodology, this study, first of all, analyzes two e-learning development projects, in which the guideline was applied to estimate optimum hardware capacity. Then, this study finds out several key factors influencing on hardware capacity. Finally, this study suggests a methodology for estimating optimum hardware capacity of an e-learning system, in which weights for the factors are determined through AHP analysis.