• Journal of Information Processing Systems
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• v.8 no.3
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• pp.521-538
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• 2012

As the knowledge society matures, not only distant, but also off-line universities are trying to provide learners with on-line educational contents. Particularly, high effectiveness of mobile devices for e-Learning has been demonstrated by the university sector, which uses distant learning that is based on blended learning. In this paper, we analyzed previous m-Learning scenarios and future technology prospects. Based on the proposed m-Learning scenario, we designed cellular phone-based educational contents and service structure, implemented m-Learning system, and analyzed m-Learning service satisfaction. The design principles of the m-Learning service are 1) to provide learners with m-Learning environment with both cellular phones and desktop computers; 2) to serve announcements, discussion boards, Q&A boards, course materials, and exercises on cellular phones and desktop computers; and 3) to serve learning activities like the reviewing of full lectures, discussions, and writing term papers using desktop computers and cellular phones. The m-Learning service was developed on a cellular phone that supports H.264 codex in 3G communication technology. Some of the functions of the m-Learning design principles are implemented in a 3G cellular phone. The contents of lectures are provided in the forms of video, text, audio, and video with text. One-way educational contents are complemented by exercises (quizzes).

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.476-484
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• 2013

The purpose of this study was to analyze the quality of 67 kinds of e-learning contents in an attempt to boost the effectiveness of distance teacher training. As a result of analyzing, the e-learning contents were rated highest in terms of 'training content,' followed by 'instructional design,' 'teaching & learning strategies,' 'evaluation' and 'interaction.' The scores of 'teaching & learning strategies,' 'evaluation' and 'interaction' were below 80 that was the standard of quality certification. In mean comparison(ES) of contents quality level between certified contents and non certified contents, 'instructional design' had the largest ES(effect size), followed by 'teaching & learning strategies,' 'evaluation'. In the analysis of evaluation factors, most of factors had a large effect such as 'webpage layout', 'selection of instructional design'. The findings of the study are expected to suggest what improvements should be made in the development of e-learning contents for distance teacher training.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.627-633
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• 2012

This paper deals with the design and implementation of interactive e-learning contents for OpenCourseWare. OpenCourseWare, also known as OCW began at MIT in October 2002. OCW is a free and open digital contents of high quality college and university level educational materials. In this paper, we have designed and implemented interactive e-learning contents for a regular course of introduction to java programing language and OCW of D University. We have developed a variety of multimedia elements, such as screen videos of practical exercise and animations in order to improve the effectiveness of learning. These e-learning contents are consist of interactive learning components that users can interact directly with. The e-learning contents developed in this study has been effectively applied to OCW and a regular course opened in the first semester of 2012.

• The Journal of Information Systems
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• v.18 no.2
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• pp.111-126
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• 2009

A high-speed Internet has brought a rapid spread of Web Based Distance Learning(WBDL). Even though the WBDL was considered a new methodology to overcome the limitation of a traditional education, it evolves not as alternatives but as strategic augmenting tools for a traditional face-to-face education. The WBDL systems accommodate diverse services such as e-Learning, e-Mentoring, and Blended Learning in order to give satisfactions to learners and increase the learning effectiveness. This study suggested the WBDL system's and learner's characteristics as two major affecting factors, in which two independent variables were respectively selected. A mediating effect of learning motivation between the independent variables and learning achievement was empirically tested. The interactions between the WBDL sysrem and learners were also tested on the view points of the moderating effects between the learning motivation and the learning achievement. The results showed that the mediating effects of learning motivation and the moderating effects of the system interactions were statistically significant.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.303-311
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• 2007

The instruction based on mass production system has contributed to the materialistic abundance, but it caused the innate target of education, development of 'holistic human beings' to be lost. Accordingly, the mentoring has been highlighted as an alternative instructional method because it can support learners in the aspect of cognitive and affective domain. On the other hand, as an effort of overcoming time and place constraints of face-to-face mentoring, e-mentoring is being required. This research aims to propose the e-mentoring system design plan for guiding learning after school, which may support face-to-face mentoring. Based on literature reviews, the direction of design was set and the necessary functions were drawn. e-Mentoring system design plan proposed in this article may be helpful to practitioners who are interested in the enhancement of effectiveness and efficiency of mentoring programs. Also it is required that more practical study should be performed for developing the system and testing its effectiveness.

• 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 the Korea Convergence Society
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• v.9 no.6
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• pp.209-215
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• 2018

The college liberal arts mathematics is opened as a required course in science and engineering field, but students with low achievement experience difficulty in learning. Therefore, flip learning, which is well known as an effective teaching method based on self-led and learner, is suggested as an alternative. However, some problems are pointed out in this pedagogy. As an alternative to flip learning, we apply flip PBL classes that apply PBL to flip learning to general math subjects to supplement the problems of existing flip learning classes and increase interest in mathematics I want to know the effectiveness of whether it can be done. In this study, we investigated the educational effectiveness of the comparison study between the experimental group applying flip PBL class and the control group applying the existing flip learning class. First, the experimental group showed higher than the control group by 22 points Second, in the reflection journal analysis, in contrast to the control group, there was a positive effect on the improvement of the interest of the mathematics in the experimental group, It is expected that it will be applied as a teaching method that can complement the learning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.208-220
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• 2015

This study analyze Online class's current condition in Smart era. And suggest better operation model based on Internet Architecture. This study focuses the condition of e-learning operation model in University online class. Especially, 'Time Check Idea' that using for attendance on e-learning class has some side effects. So this study would applied 'Qualitative Check Idea Concept' on e-learning class. Question Based System, QBS is example model. QBS is leading a Learner's participation in e-class by Making Quiz. These quizs are shared with other students and refer to studing contents. Practically operating Qualitative Concept model QBS on university e-class, we can seek for the effectiveness of Qualitative e-learning model QBS.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.301-305
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• 2006

While e-loaming has achieved great quantitative development, its qualitative effectiveness is required to be verified. As such, in this study, we performed research on the satisfaction of the e-Learning participants, and searched factors affecting satisfaction. Based on survey data from 727 distance learning participants, we selected and verified factors affecting satisfaction through correlation analysis and confidential test.

• Smart Structures and Systems
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• v.24 no.6
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• pp.733-744
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• 2019

Wind speed forecasting is critical for a variety of engineering tasks, such as wind energy harvesting, scheduling of a wind power system, and dynamic control of structures (e.g., wind turbine, bridge, and building). Wind speed, which has characteristics of random, nonlinear and uncertainty, is difficult to forecast. Nowadays, machine learning approaches (generalized regression neural network (GRNN), back propagation neural network (BPNN), and extreme learning machine (ELM)) are widely used for wind speed forecasting. In this study, two schemes are proposed to improve the forecasting performance of machine learning approaches. One is that optimization algorithms, i.e., cross validation (CV), genetic algorithm (GA), and particle swarm optimization (PSO), are used to automatically find the optimal model parameters. The other is that the combination of different machine learning methods is proposed by finite mixture (FM) method. Specifically, CV-GRNN, GA-BPNN, PSO-ELM belong to optimization algorithm-assisted machine learning approaches, and FM is a hybrid machine learning approach consisting of GRNN, BPNN, and ELM. The effectiveness of these machine learning methods in wind speed forecasting are fully investigated by one-year field monitoring data, and their performance is comprehensively compared.