• Title/Summary/Keyword: Online learning system

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Online Education System for Work Based Learning Dual System (일-학습 병행을 위한 온라인 교육 시스템)

  • Kwon, Oh-Young
    • Journal of Practical Engineering Education
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    • v.5 no.2
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    • pp.163-168
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    • 2013
  • The vicious cycle of over-education has been made. That is, higher education enrollment rate is high, but university graduate employment rate is low. To eliminate this cycle and relieve youth unemployment and young people to enter the labor market early, dual education and training system is needed. This dual system can support working and learning in parallel. So, worker can get the opportunity pre-employment and post-learning and improve his/her job skills. Recent MOOC (Massive Open On-line Course), a new form of online education system, has emerged. MOOC combines education, entertainment and social networking, and emphasize the interaction between faculty and student and between students. The educational contents of MOOC are available free of charge. Using newly changed online education environments we can effectively provide knowledge and skills. In technology and engineering education hands-on training is necessary. In order to support work based learning dual system for worker to work and learn in parallel, we should build the multi-learning system to combine the online education and campus hands-on practice.

Collaborative Learning Agent for Promoting Group Interaction

  • Suh, Hee-Jeon;Lee, Seung-Wook
    • ETRI Journal
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    • v.28 no.4
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    • pp.461-474
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    • 2006
  • This project aims to design and develop a prototype for an agent that support online collaborative learning. Online collaborative learning, which has emerged as a new form of education in the knowledge-based society, is regarded as an effective method for improving practical and highly advanced problem-solving abilities. Collaborative learning involves complicated processes, such as organizing teams, setting common goals, performing tasks, and evaluating the outcome of team activities. Thus, a teacher may have difficulty promoting and evaluating the entire process of collaborative learning, and a system may need to be developed to support it. Therefore, to promote interaction among learners in the process of collaborative learning, this study designed an extensible collaborative learning agent (ECOLA) for an online learning environment.

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A Case Study on the Effect of Online Cooperative Learning applied in Accounting Class (온라인 협력학습 회계수업 적용방안 및 효과에 관한 사례연구)

  • Song, Seungah
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.535-546
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    • 2022
  • This study tried to explore factors for improving academic achievement in online non-face-to-face education based on the survey results of a University's online cooperative learning Q&A. Due to the Corona situation, both professors and learners can easily feel psychological isolation due to the implementation of all non-face-to-face online classes. As one of the methods, it was intended to suggest the direction of future education to various teachers and learners by sharing class cases in which the online cooperative learning methodology was applied. Previous studies on non-face-to-face online learning, online cooperative learning, and learning promotion method were reviewed, and the online Q&A method was adopted as a specific learning promotion method to conduct research. In the Q&A process, learners were given an opportunity to check their learning content, share knowledge and communicate, and performance evaluation-related factors such as guaranteeing anonymity of the questioner and answerer, improvement points system, and absolute evaluation were asked. As a result of the survey analysis, it was found that they are the success factors of online cooperative learning. It is a small change that can be applied in practice in the future where online non-face-to-face learning is likely to continue, but by sharing meaningful cases of application of teaching methodologies, both professors and learners being motivated and actively involved in. It is expected that we will be able to suggest methods and directions for improving skills together by changing and supplementing the learning field.

A Study on the Effectiveness of e-learning video class using the online learning judgement system : Focused on the social studies classes in Elementary school (온라인 학습판단 시스템을 활용한 e-러닝 동영상 수업의 효과연구 : 초등학교 사회과 수업을 중심으로)

  • Kim, Jihyun;Jung, Jaebum;Jo, Jaechoon;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.141-148
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    • 2019
  • The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

Online Evolution for Cooperative Behavior in Group Robot Systems

  • Lee, Dong-Wook;Seo, Sang-Wook;Sim, Kwee-Bo
    • International Journal of Control, Automation, and Systems
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    • v.6 no.2
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    • pp.282-287
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    • 2008
  • In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior learning finds an optimal state-action mapping of a robot for a given operating condition. In behavior learning, a Q-learning algorithm is modified to handle delayed rewards in the distributed robot systems. A group of robots implements cooperative behaviors through communication with other robots. Individual robots improve the state-action mapping through online evolution with the crossover operator based on the Q-values and their update frequencies. A cooperative material search problem demonstrated the effectiveness of the proposed behavior learning and online distributed evolution method for implementing cooperative behavior of a group of autonomous mobile robots.

Two-phase flow pattern online monitoring system based on convolutional neural network and transfer learning

  • Hong Xu;Tao Tang
    • Nuclear Engineering and Technology
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    • v.54 no.12
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    • pp.4751-4758
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    • 2022
  • Two-phase flow may almost exist in every branch of the energy industry. For the corresponding engineering design, it is very essential and crucial to monitor flow patterns and their transitions accurately. With the high-speed development and success of deep learning based on convolutional neural network (CNN), the study of flow pattern identification recently almost focused on this methodology. Additionally, the photographing technique has attractive implementation features as well, since it is normally considerably less expensive than other techniques. The development of such a two-phase flow pattern online monitoring system is the objective of this work, which seldom studied before. The ongoing preliminary engineering design (including hardware and software) of the system are introduced. The flow pattern identification method based on CNNs and transfer learning was discussed in detail. Several potential CNN candidates such as ALexNet, VggNet16 and ResNets were introduced and compared with each other based on a flow pattern dataset. According to the results, ResNet50 is the most promising CNN network for the system owing to its high precision, fast classification and strong robustness. This work can be a reference for the online monitoring system design in the energy system.

Nursing students' Perception of Blended Learning - Based on Focus Group Interview - (간호학과 학생들의 블렌디드 러닝에 대한 인식 -포커스 그룹 인터뷰를 중심으로-)

  • Kim, Soo-Jin
    • Journal of Convergence for Information Technology
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    • v.10 no.6
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    • pp.59-69
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    • 2020
  • This study is a qualitative study in which a focus group interview is applied to explore nursing students' perception of blended learning. 21 students in the 4th grade of nursing department were divided into 4 groups to collect data through interviews and content analysis was conducted. As a result of the study, it was categorized into four topics: 'Application and operation that are not thoroughly prepared', 'Loss of direction and departure from learning', 'One-way listening', and 'Convenience'. Students were satisfied with blended learning which is free from time and space constraints and repetitive, but felt inadequacy and unsatisfactoriness about quality of online contents, system, and preparation for applying blended learning. In order to apply blended learning in the future nursing classes, high-quality online content should be developed based on the effective design of online and offline classes considering the curriculum, and a systematic, administrative, financial, and institutional foundation to support online course should be prepared. In addition, a support system should be created to guide students' self-directed learning activities in online classes of blended learning.

Prospects of Dual Form of Teaching and Learning in the Realities of the Covid-19 Pandemic and the Post-pandemicPeriod

  • Bratitsel, Maryna;Kravchuk, Olena;Tishko, Liliya;Osiievskyi, Valerii;Bellie, Victoriia
    • International Journal of Computer Science & Network Security
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    • v.21 no.12spc
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    • pp.483-490
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    • 2021
  • The COVID-19 pandemic has posed significant community challenges towards higher education around the world. The urgent and unexpected request for full-time university courses to switch over to online teaching was a particular challenge. Online learning and learning imply a certain pedagogical knowledge content (PKC), mainly related to the design and organization for better learning and the creation of unique learning environments using digital technologies. With the help of the present academic paper, we provide some expert opinion on the PKC connected with online learning with the aim of helping non-university professionals (that is, those with lack of online learning experience) navigate these challenging times. Our findings point to the planning of learning activities with certain features, a combination of three types of presence (social, cognitive and facilitative) and the need to adapt the assessment system to new learning requirements. We will conclude by contemplating on how responding to a crisis can improve teaching and learning practices in the post-digital era.

The Effects of Uncontact Learning Service Quality on Major Satisfaction (비대면 교육서비스품질이 전공만족도에 미치는 영향)

  • Choi, Dong-choon
    • Journal of Venture Innovation
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    • v.4 no.1
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    • pp.23-38
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    • 2021
  • This paper will examine the service quality of online education on service value, learning immersion, major satisfaction. The result structural equation model show that service quality of online education had a positive impact on service value. First, system convenience, system quality, interaction had a positive impact on service value. Second, System convenience, system quality, interaction had a positive impact on learning immersion Third, Online education on service value had a positive impact on Major Satisfaction. Fourth, Learning immersion had a positive impact on Major Satisfaction.

Design a Learning Management System Platform for Primary Education

  • Quoc Cuong Nguyen;Tran Linh Ho
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.258-266
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    • 2024
  • E-learning systems have proliferated in recent years, particularly in the wake of the global COVID-19 pandemic. For kids, there isn't a specific online learning platform available, though. To do this, new conceptual models of training and learning software that are adapted to the abilities and preferences of end users must be created. Young pupils: those in kindergarten, preschool, and elementary school are unique subjects with little research history. From the standpoint of software technology, young students who have never had access to a computer system are regarded as specific users with high expectations for the functionality and interface of the software, social network connectivity, and instantaneous Internet communication. In this study, we suggested creating an electronic learning management system that is web-based and appropriate for primary school pupils. User-centered design is the fundamental technique that was applied in the development of the system that we are proposing. Test findings have demonstrated that students who are using the digital environment for the first time are studying more effectively thanks to the online learning management system.