• Title/Summary/Keyword: u-Learning Environment

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The Analysis of Psychological Aspects Reflected on E-learning Programs in the U.S. (미국 이러닝 프로그램들에 반영된 심리적 특성 탐색)

  • Kim, Jong-Baeg;Choi, Hee Jun
    • Korean Journal of Comparative Education
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    • v.18 no.4
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    • pp.141-162
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    • 2008
  • Many e-learning programs in Korea use lecture as a main instructional method. A meta-analysis study reports that e-learning programs using lectures were the most ineffective. In addition, many researchers in the field of distance education contend that the active participation of learners is the key to the success of e-learning. These imply why we can easily find many people who don't have good impression about e-learning. The quality of e-learning depends on the application of appropriate pedagogy. This study aims to present the implications for the improvement of e-learning programs in the Republic of Korea by analyzing the psychological characteristics reflected on the e-learning programs in the U. S. that have been improved through design research for a long time. The result shows that the e-learning programs in the U. S. have five major psychological aspects, i.e., reflective thinking, collaborative interaction, knowledge construction, situated action, and utilizing multiple representations. Consequently, this study suggests that e-learning programs in the Republic of Korea need to reflect learning principles such as learning by doing, situated learning, collaborative learning, learning with multiple representations in order to improve the quality.

Design and Implementation of The Ubiquitous Computing Environment-Based on Dynamic Smart on / off-line Learner Tracking System (유비쿼터스 환경 기반의 동적인 스마트 온/오프라인 학습자 추적 시스템 설계 및 구현)

  • Lim, Hyung-Min;Lee, Sang-Hun;Kim, Byung-Gi
    • Journal of Korea Multimedia Society
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    • v.14 no.1
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    • pp.24-32
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    • 2011
  • In ubiquitous environment, the analysis for student's learning behaviour is essential to provide students with personalized education. SCORM(Sharable Contents Object Reference Model), IMS LD (Instructional Management System Learning Design) standards provide the support function of learning design such as checking the progress. However, in case of applying these standards contain many problem to add or modify the contents. In this paper, We implement the system that manages the learner behaviour by hooking the event of web browser. Through all of this, HTML-based content can be recycled without any additional works and the problems by applying the standard can be improved because the store and analysis of the learning result is possible. It also supports the ubiquitous learning environment because of keeping track of the learning result in case of network disconnected.

Ubiquitous Campus Model for Students Oriented (학생 중심의 유비쿼터스 캠퍼스모델)

  • Kim, Chang-Su;Lee, Jae-Hyuk;Jung, Hoe-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.7
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    • pp.1407-1413
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    • 2007
  • University environment on campus has been changed faster than before in today. Especially, they have devised middle & long-term development plans such as improving the image of campus and increasing campus competitive power to overcome difficulties in campus management. Therefore, many of those have made every effort to provide convenient university services for campus students and to improve the image of campus through building a Ubiquitous-Campus. But existing systems of a Ubiquitous-Campus have not understood actual conditions of IT (Information Technology) for campus students or not provided basic environment to analyze actual conditions of efficient using the system, expectations of the following people about a Ubiquitous-Campus is getting higher md higher though. Must become technology base ubiquitous campus construction, and is real erudition that ubiquitous campus model who can utilize substantially through service construction that is required newly with student's IT infra practical use analysis hereupon such as is required to solve these problems, But there is a limitation on designing the model in rapidly changed university environment on campus. In this paper, we studied about a Students Centralized Ubiquitous Campus model through U-Learning, U-Recruit, U-Printer, and personal information history service which are based on data warehouse for students analysis which is a key point element of building a Ubiquitous Campus.

A Study on the Ubiquitous for Building Life-long Educational System (평생교육체제를 구축하기 위한 유비쿼터스에 관한 연구)

  • Shin, Jae-Heub
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.4 no.4
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    • pp.39-54
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    • 2004
  • In this study, the following findings were obtained: First, life-long educational system should be reinforced that can train and educate people to fit their situation and provide the necessary manpower in a just-in-time manner by getting away from the school-centered education and rapidly introducing the knowledge required in both the world market and the domestic market. This can be said to be the global trend in the ubiquitous age. Second, government should make efforts to build up the life-long educational system that can make the persons trained and educated in schools the manpower required by the state and society. Third, Life-long learning policy starts with providing for the system of lifting all kinds of limits and obstacles so that anyone needing learning can learn and his learning may not discriminated from schooling. For this policy or system to be effectively promoted, government should reinforce administrative and financial support system for investment in and research on the ubiquitous department. Fourth, It is quiet right that the very effort we are going give the super to the ubiquitous education is a shortcut to solving rapidly lots of problems heaped on our present life-long educational system.

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Deep learning-based post-disaster building inspection with channel-wise attention and semi-supervised learning

  • Wen Tang;Tarutal Ghosh Mondal;Rih-Teng Wu;Abhishek Subedi;Mohammad R. Jahanshahi
    • Smart Structures and Systems
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    • v.31 no.4
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    • pp.365-381
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    • 2023
  • The existing vision-based techniques for inspection and condition assessment of civil infrastructure are mostly manual and consequently time-consuming, expensive, subjective, and risky. As a viable alternative, researchers in the past resorted to deep learning-based autonomous damage detection algorithms for expedited post-disaster reconnaissance of structures. Although a number of automatic damage detection algorithms have been proposed, the scarcity of labeled training data remains a major concern. To address this issue, this study proposed a semi-supervised learning (SSL) framework based on consistency regularization and cross-supervision. Image data from post-earthquake reconnaissance, that contains cracks, spalling, and exposed rebars are used to evaluate the proposed solution. Experiments are carried out under different data partition protocols, and it is shown that the proposed SSL method can make use of unlabeled images to enhance the segmentation performance when limited amount of ground truth labels are provided. This study also proposes DeepLab-AASPP and modified versions of U-Net++ based on channel-wise attention mechanism to better segment the components and damage areas from images of reinforced concrete buildings. The channel-wise attention mechanism can effectively improve the performance of the network by dynamically scaling the feature maps so that the networks can focus on more informative feature maps in the concatenation layer. The proposed DeepLab-AASPP achieves the best performance on component segmentation and damage state segmentation tasks with mIoU scores of 0.9850 and 0.7032, respectively. For crack, spalling, and rebar segmentation tasks, modified U-Net++ obtains the best performance with Igou scores (excluding the background pixels) of 0.5449, 0.9375, and 0.5018, respectively. The proposed architectures win the second place in IC-SHM2021 competition in all five tasks of Project 2.

A Effective LMS Model Using Sensing System (센싱기술을 이용한 효과적인 LMS 모델에 관한 연구)

  • Kim, Seok-Soo;Ju, Min-Seong
    • Convergence Security Journal
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    • v.5 no.4
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    • pp.33-40
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    • 2005
  • As e-learning studying is activated, learner's requirement increased. Therefore, need correct e-learning model augmented requirement of learner and new ubiquitous surrounding. In this treatise when, proposed to supplement studying contents relationship conversion service and cooperation studying service function to LMS that analyze existing e-learning model's limitation for ubiquitous environment e-learning model that can study regardless of, ubiquitously some contents and do based on SCORM ubiquitous-network and next generation sensor technology etc. Learning form conversion service senses a learner's surrounding situations and recognize his/her body condition using smart sensor technology and provides the learner with contents in the optimal form. Using sensing projects like Orestia and SOB, users can more effective collaborative learning service.

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A Course Scheduling Multi-Agent System For Ubiquitous Web Learning Environment (유비쿼터스 웹 학습 환경을 위한 코스 스케줄링 멀티 에이전트 시스템)

  • Han, Seung-Hyun;Ryu, Dong-Yeop;Seo, Jeong-Man
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.4 s.36
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    • pp.365-373
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    • 2005
  • Ubiquitous learning environment needs various new model of e-learning as web based education system has been proposed. The demand for the customized courseware which is required from the learners is increased. the needs of the efficient and automated education agents in the web-based instruction are recognized. But many education systems that had been studied recently did not service fluently the courses which learners had been wanting and could not provide the way for the learners to study the learning weakness which is observed in the continuous feedback of the course. In this paper we propose a multi-agent system for course scheduling of learner-oriented using weakness analysis algorithm via personalized ubiquitous environment factors. First proposed system analyze learner's result of evaluation and calculates learning accomplishment. From this accomplishment the multi-agent schedules the suitable course for the learner. The learner achieves an active and complete learning from the repeated and suitable course.

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A Study on the Performance of Enhanced Deep Fully Convolutional Neural Network Algorithm for Image Object Segmentation in Autonomous Driving Environment (자율주행 환경에서 이미지 객체 분할을 위한 강화된 DFCN 알고리즘 성능연구)

  • Kim, Yeonggwang;Kim, Jinsul
    • Smart Media Journal
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    • v.9 no.4
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    • pp.9-16
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    • 2020
  • Recently, various studies are being conducted to integrate Image Segmentation into smart factory industries and autonomous driving fields. In particular, Image Segmentation systems using deep learning algorithms have been researched and developed enough to learn from large volumes of data with higher accuracy. In order to use image segmentation in the autonomous driving sector, sufficient amount of learning is needed with large amounts of data and the streaming environment that processes drivers' data in real time is important for the accuracy of safe operation through highways and child protection zones. Therefore, we proposed a novel DFCN algorithm that enhanced existing FCN algorithms that could be applied to various road environments, demonstrated that the performance of the DFCN algorithm improved 1.3% in terms of "loss" value compared to the previous FCN algorithms. Moreover, the proposed DFCN algorithm was applied to the existing U-Net algorithm to maintain the information of frequencies in the image to produce better results, resulting in a better performance than the classical FCN algorithm in the autonomous environment.

Examination of Implicit Interactivity in Wiki-based Learning in University

  • Seo, Bong-Hyun;Kang, In-Ae;Nam, Sun-Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2010.07a
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    • pp.485-491
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    • 2010
  • The arrival of the Web 2.0 age, which is characterized by such key words as participation, sharing and openness, provides a learning environment in which both instructors and students can experience interactivity. In the educational area, we are particularly witnessing a growing interest in the social software like Wiki as one of the communication tools that reflects the characteristics of Web 2.0 and focuses on the interactivity with others. Based on this background, this study aims to examine into the meanings of interactivity inherent in the Wiki-based learning by studying such cases where Wiki is being used as a learning tool. For the purpose of our study, we practiced the Wiki-based learning method on the study subjects of the 17 junior students from U- University and 18 junior students from K- University during their 2009 fall semester teacher training courses. Through a comprehensive analysis of the questionnaires, interviews, Interactivity Measurement Diagram, examinations on the Wiki uses, Daily Self-reflection Records, and any other materials collected throughout the program, we could garner the following results: First, most of the students acknowledged that the use of Wiki was a useful communication means and helped promote their interactivity during their learning activities. Second, the interactivity of the Wiki-based learning was found to be more dynamic in the team-based projects or the community-based Wiki uses than in the instructor-oriented cases. Third, the Wiki-based learning is judged effective in expanding the scope of thinking and improving the learning capabilities through the collaborative knowledge-building process. The educational employment of the social software like Wiki in this web 2.0 age has great potentials for the true establishment of the learner-oriented learning environment, which has long remained at a standstill.

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A Study of Nursing Power Perception for Nurse in General Hospital (종합병원 간호사의 간호권력 인식에 관한 연구)

  • In Kyung Sun
    • Journal of Korean Public Health Nursing
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    • v.7 no.2
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    • pp.67-76
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    • 1993
  • This study was conducted to investigate the nurses' recognition extent of nursing power and related factors. It was performed in a private university hospital using questionaire papers from Jul. 11 to Jul. 20, 1993. The collected data were in number of 209, and they were handled and analyzed by computer program (SPSS). Through above process, we got meaningful results as follow. 1. The factor concerned with whether the nursing department show its independent power or not was 4.1 on an average. Consequently above results showed that the independent power roles as a important factor. The factor concerned with study and research was 3.9 on an average. So that the extension of learning was also a comparatively important nursing power. But ensuring good material environment was merely 1.6 on an average. So it was understood as less important nursing power. 2. Between the factor concerned with enforcement of independence of nursing department and the factor concerned with extension of learning, there was positive correlation of 0.32 Pearson's Correlation Coefficent. It can be interpreted as the effort of extension of learning go side by side with the showing of independent power of nursing department. As a result the power of nursing become strong. And between the factor concerned with enforcenment of independence of nursing department and the ensuring o(good material environment, there was negative correlation of -0.28 Pearson's Correaltion Coefficint. It can be interpreted as the stronger the independent power of nursing, the more overlooked the recognized of material environment of nurses.

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