• Title, Summary, Keyword: Distance Learning

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Strategies for Revitalizing E-Learning Through Investigating the Characteristics of E-Learning and the Needs of Distance Learners in the Domestic Universities in Korea (국내 대학 e-러닝의 운영 특징 및 수강자 요구 조사를 통한 활성화 방안)

  • Min, Kyung-Bae;Shin, Myoung-Hee;Yu, Tae-Ho;Kwak, Sun-Hye
    • The Journal of the Korea Contents Association
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    • v.14 no.1
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    • pp.30-39
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    • 2014
  • The purpose of this study is to suggest the feasible strategies to vitalize e-learning through investigating the characteristics of e-learning and the evaluations of distance learners on online courses in the domestic universities in Korea. First, in order to accomplish this, 10 Universities and 17 Cyber Universities were selected to explore their characteristics and main projects of e-learning for the administration level investigation. Secondly, content analysis of the bulletin board systems(BBS) and in-depth interviews on distance learners in Cyber Universities were conducted for the user level investigation. The results revealed that Universities in Korea were focused on establishing mobile or smart campuses, diversifying online educational contents, enhancing online interactive systems, and educating e-learning system and smart device utilization. However, distance learners reported that mobile e-learning lacked stability when taking online courses despite its convenience for purpose of academic administration. In addition, distance learners requested the social application workshops to improve on their learning experience as well as the interactions among peers. Therefore, it is important to focus more on how to establish the education-oriented e-learning environment rather than how to implement the administrative projects to animate e-learning in the domestic universities in Korea.

Discriminant Metric Learning Approach for Face Verification

  • Chen, Ju-Chin;Wu, Pei-Hsun;Lien, Jenn-Jier James
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.2
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    • pp.742-762
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    • 2015
  • In this study, we propose a distance metric learning approach called discriminant metric learning (DML) for face verification, which addresses a binary-class problem for classifying whether or not two input images are of the same subject. The critical issue for solving this problem is determining the method to be used for measuring the distance between two images. Among various methods, the large margin nearest neighbor (LMNN) method is a state-of-the-art algorithm. However, to compensate the LMNN's entangled data distribution due to high levels of appearance variations in unconstrained environments, DML's goal is to penalize violations of the negative pair distance relationship, i.e., the images with different labels, while being integrated with LMNN to model the distance relation between positive pairs, i.e., the images with the same label. The likelihoods of the input images, estimated using DML and LMNN metrics, are then weighted and combined for further analysis. Additionally, rather than using the k-nearest neighbor (k-NN) classification mechanism, we propose a verification mechanism that measures the correlation of the class label distribution of neighbors to reduce the false negative rate of positive pairs. From the experimental results, we see that DML can modify the relation of negative pairs in the original LMNN space and compensate for LMNN's performance on faces with large variances, such as pose and expression.

New Sensors - New Methods of Knowledge Transfer

  • Tempfli, K.
    • Proceedings of the KSRS Conference
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    • pp.210-212
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    • 2003
  • Active sensors are rapidly conquering a share on the remote sensing market and offer among others new possibilities toward automatically acquiring 3D building data. Better dissemination of information about new technological developments can possibly be achieved by short distance-learning courses. The paper describes the didactic and technical aspects of a course we have designed and conducted on airborne laser scanning and interferometric SAR. The building extraction application is a good example to illustrated the added value of short electronic-learning courses above simply publishing (digital) papers.

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Distance Sensitive AdaBoost using Distance Weight Function

  • Lee, Won-Ju;Cheon, Min-Kyu;Hyun, Chang-Ho;Park, Mi-Gnon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.2
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    • pp.143-148
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    • 2012
  • This paper proposes a new method to improve performance of AdaBoost by using a distance weight function to increase the accuracy of its machine learning processes. The proposed distance weight algorithm improves classification in areas where the original binary classifier is weak. This paper derives the new algorithm's optimal solution, and it demonstrates how classifier accuracy can be improved using the proposed Distance Sensitive AdaBoost in a simulation experiment of pedestrian detection.

An Evaluation System for Learning Concentricity on Distance Education (원격강의의 학습집중도 평가 시스템)

  • Choi Byung-Do;Hyun Chul-Sang;Jung Jin-Uk;Kim Dong-Hak;Kim Wook-Hyun;Kim Chong-Gun
    • The KIPS Transactions:PartA
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    • v.12A no.2
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    • pp.181-190
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    • 2005
  • The development of web-based distance education surroundings is steadily achieving. However the studying on the learning effect of learners is still weak against development of educational media itself. At present, most of the distance education system is showing limits in the evaluation of the learning effect because the teaming evaluation depends on mid or final-term exams by on-line or off-line. There is a strong point that the distance education is free from space and time. One of present weak points is limitation of evaluating learner's attitude which can estimate learning effects. Earnest teaming attitude at distance education is important factor for improving the learning effects. In this paper, we propose a model for improving the teaming effects by forcing real-time evaluation and returning feedback to learners at the cyber lectures. The developed experimental system is verified its possibilities.

Reflection on the International Distance Learning between Korean and Japanese University Students (한국과 일본 대학생들 사이의 원거리학습에 대한 연구)

  • Chang, Bok-Myung
    • Journal of Digital Contents Society
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    • v.16 no.5
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    • pp.681-689
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    • 2015
  • This study aims to survey the effectiveness of the international distance learning between Korean and Japanese university students. This research is based on NWCCDL (Namseoul-Waseda Cross-Cultural Distance Learning) project in the spring semester, 2015. This project is the cross-cultural distance learning project between N University in Korea and W University in Japan, and the most important thing of this project is that this project is manipulated through the utilization of ICT. This research consists with two parts: the first is to introduce the NWCCDL project; the participants' information, and the contents and procedure of the on-line chatting program, and BBS(Bulletin Board System) activities. The second is to review on the students' satisfaction for the project and the utilization of ICT in English language education context. The analytic results of the questionnaire includes the students' satisfaction on this project and their reflection on the effectiveness of using ICT in English language classroom of Korea. The results prove that the most of the students are satisfied with the NWCCDL Project in the spring semester, 2015 and the most of the students agree with the fact that the utilization of ICT is very effective in English language education of Korea.

On Retraining Programs for Cuisiniers (조리사의 재교육 프로그램에 관한 연구)

  • Choi, Young-Joon
    • Culinary science and hospitality research
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    • v.14 no.4
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    • pp.27-40
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    • 2008
  • This study focused on retraining programs for cuisiniers and drawing attention to the necessity of retraining and the new method of retraining for cuisiniers as a professional in a knowledge based society. Case study review and interviews followed by thorough review of related literatures were taken place to give suggestions and comments for the improvement of job performance enhance training for cuisiniers. Interviews were done with current participants and institutional trainers in March, 2008. Result from the interviews showed that retraining was really necessary. It was concluded that various retraining programs organized and developed by an association could be the solution. Methods of retraining can take formats of distance learning, classroom learning, and blended learning. However, working condition for most cuisiniers at present would allow them to squeeze some time off to attend higher education and most restaurant companies are not big enough to offer systematic job training on site or not stable enough to arrange replacement workers. It is therefore suggested to adopt a blended learning method and further study on this subject is highly recommended.

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Reinforcement Learning for Node-disjoint Path Problem in Wireless Ad-hoc Networks (무선 애드혹 네트워크에서 노드분리 경로문제를 위한 강화학습)

  • Jang, Kil-woong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.8
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    • pp.1011-1017
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    • 2019
  • This paper proposes reinforcement learning to solve the node-disjoint path problem which establishes multipath for reliable data transmission in wireless ad-hoc networks. The node-disjoint path problem is a problem of determining a plurality of paths so that the intermediate nodes do not overlap between the source and the destination. In this paper, we propose an optimization method considering transmission distance in a large-scale wireless ad-hoc network using Q-learning in reinforcement learning, one of machine learning. Especially, in order to solve the node-disjoint path problem in a large-scale wireless ad-hoc network, a large amount of computation is required, but the proposed reinforcement learning efficiently obtains appropriate results by learning the path. The performance of the proposed reinforcement learning is evaluated from the viewpoint of transmission distance to establish two node-disjoint paths. From the evaluation results, it showed better performance in the transmission distance compared with the conventional simulated annealing.

User Assistant Soft Computing Method for 3D Effect Optimization (입체효과 최적화를 위한 사용자 보조 소프트컴퓨팅 기법)

  • Choi Woo-Kyung;Kim Seong-Joo;Jeon Hong-Tae
    • Journal of Korean Institute of Intelligent Systems
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    • v.15 no.1
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    • pp.69-74
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    • 2005
  • In this paper, we suggested user assistant soft computing method for 3D effect optimization. In order to maximize 3D effect of image, intervals among cameras have to be set up properly according to distance between cameras and an object. Two data such as interval and distance was obtained to use in neural network as the data for learning. However, if the data for learning was obtained by only human's subjective views, it could be that the obtained data was not optimal for learning because the data had an accidental ewer To obtain optimal data lot learning, we added candidature data to obtained data through data analysis, and then selected the most proper data between the candidature data and the obtained data for learning in neural network. Usually, 3D effect of image was affected by both distance from an object to cameras and an object size. Therefore, we suggested fuzzy inference model which was able to represent two factors like distance and size. Candidature data was added by fuzzy model. In the simulation result, we verified that the mote the obtained data was affected by human's subjective views, the more effective the suggested system was.

Students' Perception of Smart Learning in Distance Higher Education (스마트러닝에 대한 원격대학 학습자의 인식)

  • Choi, Hyoseon;Woo, Younghee;Jung, Hyojung
    • The Journal of the Korea Contents Association
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    • v.13 no.10
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    • pp.584-593
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    • 2013
  • The purpose of this research is to analyze students' perception of smart learning focusing on its definitions, roles and values in distance higher education. In the online survey, 1,950 students of 'A' open university were participated. The results show that the students viewed the smart learning to be more 'absorbing', 'interactive' and 'collaborative' than the existing e-learning, as it compiles their experiences into learning. However, the respondents' perceptions of smart learning varied among different age groups: more students in their 40s and 50s responded that smart learning was 'customized', 'humanlike', 'interactive', 'comfortable', 'stable', 'familiar', 'unstressful', and 'practical' than students in their 20s and 30s, and they tend to view the main feature of smart learning to be the compilation of learner experiences.