• Title/Summary/Keyword: Learning Efficiency

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Design & Implementation Of Web-Based Learning System Supporting Automatic Question & Answer Retrieval (질의·응답 자동 검색을 지원하는 웹 기반 학습 시스템의 설계 및 구현)

  • Kim, Eun-Ju;Chae, Jeong-Min;Jung, Soon-Young
    • The Journal of Korean Association of Computer Education
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    • v.12 no.2
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    • pp.33-45
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    • 2009
  • We can communicate with each other using notice board, questions & answers boards, messages in the web-based learning system, especially questions & answers board are the places that can be shared with the learning experiences between the learners and improve one's learning efficiency. In this study, we found out the problems when studying the learning contents and learning questions & answers boards in the web-based learning system and proposed a web-based learning system consisted of learning contents and the questions & answers boards with ability for searching automatically and providing questions & answers that is related with the learning contents. According to the result of the effectiveness and accuracy analysis, the proposed web-based learning system can be very useful and improve one's learning achievements by searching exactly the learning questions & answers.

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The Effects of Conflict Resolution Strategies on Relationship Learning and Performance (갈등해결전략이 관계학습과 성과에 미치는 영향)

  • Noh, Won-Hee;Song, Young-Wook
    • Journal of Distribution Research
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    • v.17 no.3
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    • pp.93-113
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    • 2012
  • Early conflict research in channel and organization area have focused on the definition of conflict construct, its cause, consequence and identified conflict resolution management. Recent studies about conflict, however, have explored new assumption of complexity, a multidimensional conflict construct, contextual conflict management strategies, positive and negative conflict/consequence, and the conflict resolution strategy. Although many literatures exists on channel conflict resolution, little research has been done about relationship learning and performance from conflict resolution perspective. This study explores how channel members can achieve a relationship learning, as a conflict resolution mechanism, which enhance co-created value in marketing channel relationship. Therefore we propose that conflict resolution strategies(collaborating behavior and avoiding behavior) influence channel performance(effectiveness and efficiency) through relationship learning processes(learning via information exchange, joint interpretation and coordination, relationship-specific knowledge memory), in view of buyer-seller relationship. The research model is shown at

    . A total of twelve hypotheses were established through prior studies dealing with conflict and relationship marketing theory. Then we drove conceptual research model. For the purpose of empirical testing, we managed to obtain the list of suppliers of 24 retailers from 5 retailer formats, such as department store, discount store, convenience store, TV home-shopping and internet shopping mall. They were asked to respond to the survey via face-to-face interview conducted by a professional research company. During the one month period of June 2009, we were able to collect data form 490 suppliers. The respondent were restricted to direct dealing authorities and manager with at least three months of dealing experience with retailers. Structural equation modeling on the basis of the results of survey were done to analyze. As a result, eight among twelve hypotheses were supported. The analysis result indicated that collaborating behavior had positive effect on three forms of relationship learning, but avoiding behavior has negative effect on only information exchange. Joint interpretation and coordination, relationship-specific knowledge memory had positive effect on relationship performances, but information exchange had no effect on performances. The results support our basic thesis that the use of conflict resolution strategies have different effect on developing relationship learning, which leads to channel performances. In particular, collaborating behavior is positively related to relationship learning, and avoidance behavior is negatively related to information exchange. Relationship learning is partially contributed to channel performance.

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A Study on Subjectivity of Underachievers on Peer Assisted Learning in Culinary Skills related Subject (동료학습을 적용한 조리실무관련 실습과목 학습부진 대학생의 주관성 연구)

  • Shin, Seoung-Hoon;Kim, Chan-Woo
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.562-572
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    • 2020
  • This study analyzed subjectivity of underachievers on Peer Assisted Learning(PAS) in culinary skills related subject for providing better educational environment through consideration of educational efficiency of particular teaching method. Q Methodology was employed for analysing of responses of a small group of the students. The research found that three types of distinctive structures of responses of the students' subjectivity. The first one was Increase learning effectiveness type(Type1, N=8), the second one was Development of lesson materials for passive students(Type2, N=8), and the last one was Practical self-directed learning needs development(Type3, N=6). From the result, PAS was an effective teaching method for underachievers for encouraging participation of study program, helping to rise self-confidence in subject's tasks, and awareness of self directed learning and additional study on subjects matters. The study, however, found that students could consider themselves as an interruption to other students' study progress, and could feel other students' awareness as a burden. At last, forming a class by deeper consideration on the learning levels of each students and providing additional educational contents for encouraging self directed learning are necessary for the better efficiency for the future.

Development of Virtual Classroom for Computer System Architecture based on the Flash ActionScript (플래시 액션스크립트 기반의 컴퓨터 시스템 구조 가상 학습실 개발)

  • Seo Ho-Joon
    • Journal of Engineering Education Research
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    • v.7 no.4
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    • pp.16-21
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    • 2004
  • According to the appearance of various virtual websites using multimedia technologies for engineering education, the internet applications in engineering education have drawn much interests. But unidirectional communication, simple text/image based webpages and tedious learning process without motivation etc. have made the lowering of educational efficiency in cyberspace. Thus, to cope with these difficulties this paper presents a web-based educational Flash movies based on ActionScript language for understanding the principles of the computer system architecture. The proposed Flash movies provides the improved learning methods which can enhance the interests of learners. The results of this paper can be widely used to improve the efficiency of cyberlectures in the cyber university. Several sample Flash movies are illustrated to show the validity of the proposed learning method.

Dynamic Adjustment Strategy of n-Epidemic Routing Protocol for Opportunistic Networks: A Learning Automata Approach

  • Zhang, Feng;Wang, Xiaoming;Zhang, Lichen;Li, Peng;Wang, Liang;Yu, Wangyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.4
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    • pp.2020-2037
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    • 2017
  • In order to improve the energy efficiency of n-Epidemic routing protocol in opportunistic networks, in which a stable end-to-end forwarding path usually does not exist, a novel adjustment strategy for parameter n is proposed using learning atuomata principle. First, nodes dynamically update the average energy level of current environment while moving around. Second, nodes with lower energy level relative to their neighbors take larger n avoiding energy consumption during message replications and vice versa. Third, nodes will only replicate messages to their neighbors when the number of neighbors reaches or exceeds the threshold n. Thus the number of message transmissions is reduced and energy is conserved accordingly. The simulation results show that, n-Epidemic routing protocol with the proposed adjustment method can efficiently reduce and balance energy consumption. Furthermore, the key metric of delivery ratio is improved compared with the original n-Epidemic routing protocol. Obviously the proposed scheme prolongs the network life time because of the equilibrium of energy consumption among nodes.

Development of a Web-based Java Applets for Understanding the Principles of Digital Logic Systems (디지털 논리 시스템의 개념학습을 위한 웹기반 자바 애플릿의 개발)

  • Kim Dong-Sik;Seo Ho-Joon
    • Journal of Engineering Education Research
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    • v.4 no.2
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    • pp.35-44
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    • 2001
  • Recently, according to the appearance of various virtual websites using multimedia technologies for engineering education, the internet applications in engineering education have drawn much interests. But unidirectional communication, simple text/image-based webpages and tedious learning process without motivation etc. have made the lowering of educational efficiency in cyberspace. Thus, to cope with these difficulties this paper presents a web-based educational Java applets for understanding the principles or conceptions of digital logic systems. The proposed Java applets provides the improved learning methods which can enhance the interests of learners. The results of this paper can be widely used to improve the efficiency of cyberlectures in the cyber university. Several sample Java applets are illustrated to show the validity of the proposed learning method.

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Determination of an Optimal Sentence Segmentation Position using Statistical Information and Genetic Learning (통계 정보와 유전자 학습에 의한 최적의 문장 분할 위치 결정)

  • 김성동;김영택
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.10
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    • pp.38-47
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    • 1998
  • The syntactic analysis for the practical machine translation should be able to analyze a long sentence, but the long sentence analysis is a critical problem because of its high analysis complexity. In this paper a sentence segmentation method is proposed for an efficient analysis of a long sentence and the method of determining optimal sentence segmentation positions using statistical information and genetic learning is introduced. It consists of two modules: (1) decomposable position determination which uses lexical contextual constraints acquired from a training data tagged with segmentation positions. (2) segmentation position selection by the selection function of which the weights of parameters are determined through genetic learning, which selects safe segmentation positions with enhancing the analysis efficiency as much as possible. The safe segmentation by the proposed sentence segmentation method and the efficiency enhancement of the analysis are presented through experiments.

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Implementation of a Web-based Hybrid Experimental System for Electric and Electronic Circuits (웹 기반 하이브리드 전기전자회로 실험시스템의 구현)

  • Kim, Dong-Sik;Choi, Kwan-Sun;Moon, Il-Hyun;Lee, Sun-Heum
    • The Journal of Korean Association of Computer Education
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    • v.10 no.5
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    • pp.53-60
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    • 2007
  • To enhance learning efficiency, we implement a hybrid experimental system for electrical and electronic circuits where web-based virtual laboratory system and distant education system are properly integrated. In the first stage, we developed web-based virtual laboratory systems for electrical/electronic circuit experiments, which are composed of three important sessions and their management system: concept learning, virtual experiment, assessment. In the second stage, we have implemented cost-effective distant laboratory systems for practicing electric/electronic circuits, which can be used to eliminate the lack of reality occurred during virtual laboratory session. The proposed virtual/ distant laboratory systems can be used in stand-alone fashion, but to enhance learning efficiency we integrated them and developed a creative hybrid experimental system for electric and electronic circuits.

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Deep Learning Approaches to RUL Prediction of Lithium-ion Batteries (딥러닝을 이용한 리튬이온 배터리 잔여 유효수명 예측)

  • Jung, Sang-Jin;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.12
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    • pp.21-27
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    • 2020
  • Lithium-ion batteries are the heart of energy-storing devices and electric vehicles. Owing to their superior qualities, such as high capacity and energy efficiency, they have become quite popular, resulting in an increased demand for failure/damage prevention and useable life maximization. To prevent failure in Lithium-ion batteries, improve their reliability, and ensure productivity, prognosticative measures such as condition monitoring through sensors, condition assessment for failure detection, and remaining useful life prediction through data-driven prognostics and health management approaches have become important topics for research. In this study, the residual useful life of Lithium-ion batteries was predicted using two efficient artificial recurrent neural networks-ong short-term memory (LSTM) and gated recurrent unit (GRU). The proposed approaches were compared for prognostics accuracy and cost-efficiency. It was determined that LSTM showed slightly higher accuracy, whereas GRUs have a computational advantage.

A Diversified Message Type Forwarding Strategy Based on Reinforcement Learning in VANET

  • Xu, Guoai;Liu, Boya;Xu, Guosheng;Zuo, Peiliang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.9
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    • pp.3104-3123
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    • 2022
  • The development of Vehicular Ad hoc Network (VANET) has greatly improved the efficiency and safety of social transportation, and the routing strategy for VANET has also received high attention from both academia and industry. However, studies on dynamic matching of routing policies with the message types of VANET are in short supply, which affects the operational efficiency and security of VANET to a certain extent. This paper studies the message types in VANET and fully considers the urgency and reliability requirements of message forwarding under various types. Based on the diversified types of messages to be transmitted, and taking the diversified message forwarding strategies suitable for VANET scenarios as behavioral candidates, an adaptive routing method for the VANET message types based on reinforcement learning (RL) is proposed. The key parameters of the method, such as state, action and reward, are reasonably designed. Simulation and analysis show that the proposed method could converge quickly, and the comprehensive performance of the proposed method is obviously better than the comparison methods in terms of timeliness and reliability.