• Title/Summary/Keyword: Learning Evaluation System

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Study on the Achievement Goals, Teaching-Learning Methods and Evaluation Methods of 'Convergence Activities' Section ('융합 활동' 영역의 성취 목표, 교수학습 방법 및 평가 방법에 관한 연구)

  • Ahn, Seonghun;Jeong, InKee
    • Journal of The Korean Association of Information Education
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    • v.18 no.1
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    • pp.173-184
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    • 2014
  • The ability to need information-oriented society is the convergence ability based in information ability. A new curriculum is demanded by new technology and circumstance to need the core ability. Korea Association of Information Education have studied a new curriculum and suggest a new plan that content of information education classified by 'computer system', 'SW production' and 'convergence activities'. Therefore, we studied on convergence activities of K-9. In this paper we firstly suggested concept of convergence ability as activities to use ICT, information communication ethics and robot. We nextly suggested object to achieve, teaching-learning methods and evaluation methods of convergence activities. We expect the curriculum we suggested about convergence activities will contribute to training talented individuals.

Air Threat Evaluation System using Fuzzy-Bayesian Network based on Information Fusion (정보 융합 기반 퍼지-베이지안 네트워크 공중 위협평가 방법)

  • Yun, Jongmin;Choi, Bomin;Han, Myung-Mook;Kim, Su-Hyun
    • Journal of Internet Computing and Services
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    • v.13 no.5
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    • pp.21-31
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    • 2012
  • Threat Evaluation(TE) which has air intelligence attained by identifying friend or foe evaluates the target's threat degree, so it provides information to Weapon Assignment(WA) step. Most of TE data are passed by sensor measured values, but existing techniques(fuzzy, bayesian network, and so on) have many weaknesses that erroneous linkages and missing data may fall into confusion in decision making. Therefore we need to efficient Threat Evaluation system that can refine various sensor data's linkages and calculate reliable threat values under unpredictable war situations. In this paper, we suggest new threat evaluation system based on information fusion JDL model, and it is principle that combine fuzzy which is favorable to refine ambiguous relationships with bayesian network useful to inference battled situation having insufficient evidence and to use learning algorithm. Finally, the system's performance by getting threat evaluation on an air defense scenario is presented.

The development of a web-based database system for managing program learning outcomes in a nursing school (일개 간호대학 학생의 학습성과 평가관리를 위한 웹 기반 학습성과 관리시스템)

  • Moon, Mikyung;Lee, Soo-Kyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.4
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    • pp.2665-2673
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    • 2015
  • The purpose of this study is to develop a web-based database system to manage effectively data collected to evaluate program learning outcomes (PO) in a nursing school. The database management system (DBMS) was developed using a software development life cycle method: Analysis, Design, Implementation, and Evaluation. The demands for the content and system of users were collected. The system structure, database using an entity-relationship modeling, and user interface were designed based on the demands. The designed DBMS was created using GWT, Java and Apache HTTP server. The expert group and users evaluated the implemented DBMS. Problems derived from them were modified. The average of end-user computing satisfaction evaluated by 8 nursing faculty and 5 teaching assistants was 4.14 (SD =.44). The web-based PO DBMS makes it possible for nursing faculty members to access and use much of the information needed for analysis and decision-making.

Web based PBL Teaching·Learning Development Model for Medical Education (의료정보 교육을 위한 웹기반 PBL 교수·학습 콘텐츠 개발 모형)

  • Choo, Hyun-Jae;Park, Joo-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.10
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    • pp.246-254
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    • 2010
  • Recent changes in medical environment are based on technology such as internet. As most hospitals require the change and the adaptation of medical, medical information experts are more needed. In this study, we developed web based PBL model and applied it to the students majoring in medical information system. The developed web-PBL model focuses on learner's online learning activities to enhance collaborative learning and self-directed learning by using online learning tools. At the result of the research, We found that the students' course evaluation somewhat increased compared to the previous class and the students positively perceived on PBL model. Moreover, this study showed that using blog as a online learning tool was a good way to enhance cooperative learning.

Implementation and Evaluation of Blended PBL Systems for Information Communication Ethics Education (정보통신윤리 교육을 위한 블랜디드 문제중심학습 시스템 구현 및 평가)

  • Lee, Jun-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.4
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    • pp.83-91
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    • 2011
  • The purpose of this thesis was to implement effective blended PBL(Problem-Based Learning) systems for information communication ethics education. Online learning and face-to-face classes were systematically combined for achieving the teaching-learning goals. And the main module for online learning run on Moodle, an open source learning management system. To examine educational effectiveness of the proposed systems, an experimental study was conducted through the method to the subject of two class in the second-grade of university located in ${\bigcirc}{\bigcirc}$ city. For experiment 60 students(treatment group=30, control group=30) are participated. And they were assigned to one of ten subgroups, comprising of six students, respectively. The results of this study are follows, First, the education using proposed blended PBL method is more effective in cultivating consciousness of information communication ethics than the education using face-to-face PBL learning method. Second, learners who participated in the proposed blended PBL more experienced various effects of PBL, such as (1) Improvement of problem solving ability, (2) Understanding of cooperative learning than the other learners who participated in the face-to-face PBL.

Efficient Assessment and Recommendations System using IRT and Data Mining (IRT와 데이터 마이닝을 이용한 효과적인 평가 및 추천시스템)

  • Kim Cheon-Shik;Jung Myung-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.4 s.42
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    • pp.109-117
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    • 2006
  • E-learning method has many advantages that supplement the shortfalls of offline education. For this reason, today's offline educational institutions adopted the online education technique to improve learning effectiveness. Recently, general universities have partially adopted online learning. As a result, a study is searching for ways to improve the effectiveness of education by copying the merits of the existing offline education onto the online education. Thus a proper evaluation of learners and a feedback provision are considered necessary to improve the effectiveness of online learning. This study aims to suggest a model that will improve learning efficiency by adapting the advantages of offline education to online learning. To evaluate properly, this study conducted Item Response Test to examine the learners and finally ensure them an adequate level of education. Also, this study suggested a way to enhance learning efficiency by finding out each learner's study habits and to address the weaknesses of online learning. It is expected that the suggested method would be helpful in bettering learner's ability to study in school environment.

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Development and Evaluation of e-EBPP(Evidence-Based Practice Protocol) System for Evidence-Based Dementia Nursing Practice (근거중심 치매 간호실무를 위한 e-EBPP 시스템 개발 및 평가)

  • Park, Myonghwa
    • Korean Journal of Adult Nursing
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    • v.17 no.3
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    • pp.411-424
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    • 2005
  • Purpose: The purpose of this study was to develop and evaluate e-EBPP(Evidence-based Practice Protocol) system for nursing care for patients with dementia to facilitate the best evidence-based decision in their dementia care settings. Method: The system was developed based on system development life cycle and software prototyping using the following 5 processes: Analysis, Planning, Developing, Program Operation, and Final Evaluation. Result: The system consisted of modules for evidence-based nursing and protocol, guide for developing protocol, tool for saving, revising, and deleting the protocol, interface tool among users, and tool for evaluating users' satisfaction of the system. On the main page, there were 7 menu bars that consisted of Introduction of site, EBN info, Dementia info, Evidence Based Practice Protocol, Protocol Bank, Community, and Site Link. In the operation of the system, HTML, JavaScript, and Flash were utilized and the content consisted of text content, interactive content, animation, and quiz. Conclusion: This system can support nurses' best and cost-effective clinical decision using sharable standardized protocols consisting of the best evidence in dementia care. In addition, it can be utilized as an e-learning program for nurses and nursing students to learn use of evidence based information.

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Numerical Studies on the Structural-health Evaluation of Subway Stations based on Statistical Pattern Recognition Techniques (패턴인식 기반 역사 구조건전성 평가기법 개발을 위한 수치해석 연구)

  • Shin, Jeong-Ryol;An, Tae-Ki;Lee, Chang-Gil;Park, Seung-Hee
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.1735-1741
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    • 2011
  • The safety of station structures among railway infrastructures should be considered as a top priority because hundreds of thousands passengers a day take a subway. The station structures, which have been being operated since the 1970s, are especially vulnerable to the earthquake and long-term vibrations such as ambient train vibrations as well. This is why the structural-health monitoring system of station structures should be required. For these reason, Korean government has made an effort to develop the structural health-monitoring system of them, which can evaluate the health-state of station structures as well as can monitor the vulnerable structural members in real-time. Then, through the monitoring system, the vulnerable structural members could be retrofitted. For the development of health-state evaluation method for station structures with the real-time sensing data measured in the fields, authors carried out the numerical simulations to develop evaluation algorithms based on statistical pattern recognition techniques. In this study, the dynamic behavior of Chungmuro station in Seoul was numerically analyzed and then critical members were chosen. Damages were artificially simulated at the selected critical members of the numerical model. And, the supervised and unsupervised learning based pattern recognition algorithms were applied to quantify and localize the structural defects.

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Integrating Balanced Scorecard and Analytic Hierarchy Process Techniques for Evaluating Corporate Performance

  • Sohn, Myung-Ho;Park, Sungbum;Lee, Heeseok
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.111-115
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    • 2001
  • A good business performance measurement system is an effective tool io sustained growth in profits. Although interest in creating performance measurement models is widespread, a well-designed system is rare. To be successful in today's competitive environment, a performance measurement system should incorporate strategic success factors and contain financial and non-financial measuring index to carry out strategic management. In the 1990s, Kaplan & Norton introduced a concept called the Balanced Scorecard. The Balanced Scorecard supplements traditional financial measures with criteria that measured performance from three additional perspectives - those perspectives of customers, internal business processes, and learning and growth. This paper presents five measuring index criteria for each perspective. To calculate the relative priority for These measuring index, we investigate weights investigated by interviews with management consultant. Then, AHP method is employed for calculating priority weight. Our evaluation model may be referred to as the Balanced Analytic Hierarchical Performance Model(BAHPM) in the sense that the analytic hierarchical scheme, along with the AHP, is applied. The BAHPM is the first kind of analytical model to cover a wide variety of measures. In comparison with previous evaluation models, our model shows strengths in structural flexibility, ease of incorporating feedback, group evaluation capacity, participation promotion, sensitivity analysis, and computational simplicity. A prototype based on the BAHPM can be applied to various industry sectors.

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Tor Network Website Fingerprinting Using Statistical-Based Feature and Ensemble Learning of Traffic Data (트래픽 데이터의 통계적 기반 특징과 앙상블 학습을 이용한 토르 네트워크 웹사이트 핑거프린팅)

  • Kim, Junho;Kim, Wongyum;Hwang, Doosung
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.6
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    • pp.187-194
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    • 2020
  • This paper proposes a website fingerprinting method using ensemble learning over a Tor network that guarantees client anonymity and personal information. We construct a training problem for website fingerprinting from the traffic packets collected in the Tor network, and compare the performance of the website fingerprinting system using tree-based ensemble models. A training feature vector is prepared from the general information, burst, cell sequence length, and cell order that are extracted from the traffic sequence, and the features of each website are represented with a fixed length. For experimental evaluation, we define four learning problems (Wang14, BW, CWT, CWH) according to the use of website fingerprinting, and compare the performance with the support vector machine model using CUMUL feature vectors. In the experimental evaluation, the proposed statistical-based training feature representation is superior to the CUMUL feature representation except for the BW case.