• 디지털융복합연구
• /
• 제9권4호
• /
• pp.281-289
• /
• 2011

이 연구는 유러닝 이용 교육에서 신기술의 발전에 따라 나타나는 특정과 문제점들을 사례를 분석하여 연구하였다. 이러한 유비쿼터스 환경에서 인간은 컴퓨터 능력을 갖고 있는 장치와 상호 교류가 가능하며, 유러닝을 통해 학생들은 열린 자세를 갖으며 스스로 공부하는데 동기부여를 갖게 된다. 이는 학습과 의사소통을 효율적으로 할 수 있게 하며, 시간과 비용 에너지를 절약 할 수 있게 한다. 국내 외 사례에서 살펴보았듯이 유러닝의 발전을 도모하기 위해서는 여러 가지 측면에서 고려되어야 할 것이지만, 교육, 학습태도, 관습, 인간관계 등에 있어 현재 보다 훨씬 광범위하게 수집되어 오용되거나 유출되는 문제를 반드시 해결해야 할 분야이다. 이를 위해 법이나 제도 그리고 윤리적 관점에서 고려되어야 할 것으로 본다.

• Journal of Information Processing Systems
• /
• 제6권4호
• /
• pp.609-620
• /
• 2010

In order to provide a tailored education for learners within the ubiquitous environment, it is critical to undertake an analysis of the learning activities of learners. For this purpose, SCORM (Sharable Contents Object Reference Model), IMS LD (Instructional Management System Learning Design) and other standards provide learning design support functions, such as, progress checks. However, in order to apply these types of standards, contents packaging is required, and due to the complicated standard dimensions, the facilitation level is lower than the work volume when developing the contents and this requires additional work when revision becomes necessary. In addition, since the learning results are managed by the server there is the problem of the OS being unable to save data when the network is cut off. In this study, a system is realized to manage the actions of learners through the event interception of a web-browser by using event hooking. Through this technique, all HTMLbased contents can be facilitated again without additional work and saving and analysis of learning results are available to improve the problems following the application of standards. Furthermore, the ubiquitous learning environment can be supported by tracking down learning results when the network is cut off.

• 교육녹색환경연구
• /
• 제4권4호
• /
• pp.39-54
• /
• 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.

• Educational Technology International
• /
• 제24권1호
• /
• pp.53-80
• /
• 2023

This study investigates faculty support for quality assurance in online education, and offers suggestions for its improvement based on feedback from Instructional Design (ID) staff working at a public university in the U.S. Qualitative research using semi-structured interviews was conducted with seven ID staff in order to examine their perceptions regarding faculty support related to quality assurance in online education. The results of the data analysis indicate that four types of faculty support-quality assurance reviews using Quality Matter (QM) standards, templates, individual consultations with ongoing support, and monitoring-were offered for faculty. Faculty support for quality assurance in online education could be improved by developing specific quality assurance standards, recruiting external experts, examining learning effects, developing a quality assurance management system, and sharing documents among ID staff. This study highlights the necessity of quality assurance in online education and provides cases of faculty support in a real higher education setting.

• 한국멀티미디어학회논문지
• /
• 제14권1호
• /
• pp.24-32
• /
• 2011

유비쿼터스 환경에서 학습자 맞춤형 교육을 제공하기 위해서는 학습자의 학습행위에 대한 분석이 필수적이다. SCORM(Sharable Contents Object Reference Model), IMS LD(Instructional Management System Learning Design) 등의 표준은 진도 체크와 같은 학습 설계 지원 기능을 제공한다. 하지만 표준 적용은 개발의 어려움과 수정이 어렵다는 단점이 있다. 본 논문에서는 이벤트 가로채기를 사용하여 웹 브라우저에서 학습자의 행위를 관리하는 시스템을 구현한다. 이를 통해 HTML기반의 모든 콘텐츠를 추가적인 작업 없이 재활용할 수 있고 학습결과의 저장 및 분석이 가능하게 되어 표준 적용에 따른 문제점을 개선할 수 있다. 또한 네트워크 단절 시에도 학습결과를 추적할 수 있어 유비쿼터스 학습 환경을 지원할 수 있다.

• 반도체디스플레이기술학회지
• /
• 제21권4호
• /
• pp.121-125
• /
• 2022

This paper deals with the development of a deep-learning-based robot that recognizes various types of stairs and performs a mission to go up to the target floor. The overall motion sequence of the robot is performed based on the ROS robot operating system, and it is possible to detect the shape of the stairs required to implement the motion sequence through rapid object recognition through YOLOv4 and Cuda acceleration calculations. Using the ROS operating system installed in Jetson Nano, a system was built to support communication between Arduino DUE and OpenCM 9.04 with heterogeneous hardware and to control the movement of the robot by aligning the received sensors and data. In addition, the web server for robot control was manufactured as ROS web server, and flow chart and basic ROS communication were designed to enable control through computer and smartphone through message passing.

• 한국경영정보학회:학술대회논문집
• /
• 한국경영정보학회 2007년도 추계학술대회
• /
• pp.123-128
• /
• 2007

It has been argued that Enterprise systems (ES) implementations are overshadowed by a high failure rate despite their promised benefits. One of the commonly cited reasons for ES implementation failures in the context of mandatory use is end-user's unwillingness or sabotage to adopt or use systems. Considering that the appropriate management of expectations may play an important role in making positive behavior toward newly implemented systems, this study examines the effect of outcome expectations on the system use activity in the mandatory use context of information systems from the Social Cognitive Theory perspective. Structural equation model analysis using LISREL 8.7 provides significant support for the proposed relationships. The empirical results suggest that outcome expectations and user satisfaction have positive effects on system use activity conceptualized by immersion, reinvention, and learning. Theoretical and practical implications of the study shed some light on how to improve system use activity in the mandatory use context of information systems.

• 한국정보전자통신기술학회논문지
• /
• 제2권4호
• /
• pp.3-12
• /
• 2009

최근 유비쿼터스 컴퓨팅 환경의 발전에 따라 시간, 장소에 관계없이 주변 환경 변화에 따라 동적으로 구성된 서비스를 제공한다. 특히, 유비쿼터스 컴퓨팅 환경에서 교육 지원서비스 분야는 교육의 주체가 되는 각 구성원에 따라 맞춤형 정보제공이요구되고 있다. 따라서 본 논문에서는 교육 주체가 되는 각 구성원을 위한 맞춤 정보 서비스를 제공하기 위한 교육지원 시스템에 대해 기술한다. 제안한 시스템의 구조는 모바일 에이전트들로 구성된 멀티에이전트시스템 플랫폼인 JADE(Java Agent DEvelopment framework)를 기반으로 한다. 또한 시스템에서 제공하는 응용 서비스에서 동작하는 모든 에이전트들을 설계하였고 이들간의 상호작용모델을 기술 하였다. 본 논문에서 제안한 유비쿼터스 컴퓨팅환경에서맞춤형교육지원시스템의수행성을검증하기 위해 학교 교실에서 교사, 학생 그리고 학부모와 관리자를 위한 서비스 응용으로 사용자의 역할에 따른 적합한 정보를 제공하기 위한 시스템을 구현했다. 끝으로 맞춤형 교육지원 서비스에 따라 응용 서비스의 GUI를 통해 수행결과를 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권7호
• /
• pp.2668-2717
• /
• 2021

Demands for high-speed wireless data services grow rapidly. It is a big challenge to increasing the network capacity operating on licensed spectrum resources. Unlicensed spectrum cellular networks have been proposed as a solution in response to severe spectrum shortage. Licensed Assisted Access (LAA) was standardized by 3GPP, aiming to deliver data services through unlicensed 5 GHz spectrum. Furthermore, the 3GPP proposed 5G New Radio-Unlicensed (NR-U) study item. On the other hand, artificial intelligence (AI) has attracted enormous attention to implement 5G and beyond systems, which is known as Intelligent Radio (IR). To tackle the challenges of unlicensed spectrum networks in 4G/5G/B5G systems, a lot of works have been done, focusing on using Machine Learning (ML) to support resource allocation in LTE-LAA/NR-U and Wi-Fi coexistence environments. Generally speaking, ML techniques are used in IR based on statistical models established for solving specific optimization problems. In this paper, we aim to conduct a comprehensive survey on the recent research efforts related to unlicensed cellular networks and IR technologies, which work jointly to implement 5G and beyond wireless networks. Furthermore, we introduce a positioning assisted LTE-LAA system based on the difference in received signal strength (DRSS) to allocate resources among UEs. We will also discuss some open issues and challenges for future research on the IR applications in unlicensed cellular networks.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권6호
• /
• pp.1778-1799
• /
• 2022

Automatic text summarization is a procedure that packs enormous content into a more limited book that incorporates significant data. Malayalam is one of the toughest languages utilized in certain areas of India, most normally in Kerala and in Lakshadweep. Natural language processing in the Malayalam language is relatively low due to the complexity of the language as well as the scarcity of available resources. In this paper, a way is proposed to deal with the text summarization process in Malayalam documents by training a model based on the Support Vector Machine classification algorithm. Different features of the text are taken into account for training the machine so that the system can output the most important data from the input text. The classifier can classify the most important, important, average, and least significant sentences into separate classes and based on this, the machine will be able to create a summary of the input document. The user can select a compression ratio so that the system will output that much fraction of the summary. The model performance is measured by using different genres of Malayalam documents as well as documents from the same domain. The model is evaluated by considering content evaluation measures precision, recall, F score, and relative utility. Obtained precision and recall value shows that the model is trustable and found to be more relevant compared to the other summarizers.