• Title/Summary/Keyword: e-Learning system evaluation

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Web-based E-learning System Supporting an Effective Self-directed Learning Environment (효과적인 자기주도적 학습 환경을 지원하는 웹 기반 이-러닝 시스템)

  • Kim, Mi-Hye
    • The Journal of the Korea Contents Association
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    • v.11 no.9
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    • pp.524-535
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    • 2011
  • For success in E-learning, support from a learning environment that enables learners to perform self-directed learning more effectively is assumed. However, most existing e-learning systems do not maximize the improvement in learners' self-regulated learning ability because they only partially accommodate factors that can facilitate self-directed learning. In this paper, a web-based e-learning system is designed and proposed that enables support of an enhanced self-directed learning environment by providing various learning methods, evaluation methods, learning content levels, and strategies for learning motivation in various conditions, and synthetically reflecting them. To validate the effectiveness of the proposed system, it was applied to the subject of data structures in a university course, and an online survey was conducted with the students. The results indicated that the proposed system can support a learning environment in which students can perform more effective self-directed learning, enhancing their learning ability.

A Structure of Personalized e-Learning System Using On/Off-line Mixed Estimations Based on Multiple-Choice Items

  • Oh, Yong-Sun
    • International Journal of Contents
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    • v.5 no.1
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    • pp.51-55
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    • 2009
  • In this paper, we present a structure of personalized e-Learning system to study for a test formalized by uniform multiple-choice using on/off line mixed estimations as is the case of Driver :s License Test in Korea. Using the system a candidate can study toward the license through the Internet (and/or mobile instruments) within the personalized concept based on IRT(item response theory). The system accurately estimates user's ability parameter and dynamically offers optimal evaluation problems and learning contents according to the estimated ability so that the user can take possession of the license in shorter time. In order to establish the personalized e-Learning concepts, we build up 3 databases and 2 agents in this system. Content DB maintains learning contents for studying toward the license as the shape of objects separated by concept-unit. Item-bank DB manages items with their parameters such as difficulties, discriminations, and guessing factors, which are firmly related to the learning contents in Content DB through the concept of object parameters. User profile DB maintains users' status information, item responses, and ability parameters. With these DB formations, Interface agent processes user ID, password, status information, and various queries generated by learners. In addition, it hooks up user's item response with Selection & Feedback agent. On the other hand, Selection & Feedback agent offers problems and content objects according to the corresponding user's ability parameter, and re-estimates the ability parameter to activate dynamic personalized learning situation and so forth.

The Influence of Learning Environment and Learners' Self-Efficacy on the Effectiveness in e-Learning (e-Learning에서의 학습환경과 학습자 자기효능감이 학습 유효성에 미치는 영향)

  • Lee, Woong-Kyu;Lee, Jong-Ki
    • Asia pacific journal of information systems
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    • v.16 no.1
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    • pp.1-21
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    • 2006
  • e-Learning can be seen as not only one of Internet-based information technologies which can provide education services but also one of teaching-learning methods which can implement self-directed learning. Thus, for evaluation of e-Learning effectiveness, both information-technology-based learning environment and learners' abilities in self-learning and computer-using should be considered simultaneously. This study suggests a research model for evaluating the effectiveness of e-Learning, which is theoretically based on information systems success model, constructivism and self-efficacy. The model is composed of three parts: effectiveness, learning environment, and learners' self-efficacy. Effectiveness is a part of dependent variables: satisfaction and academic performance. Learning environment and learners' self-efficacy can be considered as two sets of explanation variables for effectiveness. The former consists of learning management system, learning contents, and interactions that are provided bye-Learning and the latter means learners' self-regulated efficacy and computer self-efficacy. We show validity of the model empirically by surveying the college students who have experienced e-Learning. In result, most of all hypotheses suggested in this model are accepted in low significant level.

m-Learning Systems in Ubiquitous Environment (유비쿼터스 환경에서의 m-Learning 시스템)

  • Kim, Hyoung-Seok;Han, Sun-Gwan
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2005.11a
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    • pp.211-217
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    • 2005
  • This study was about design and development of the Mobile Learning Evaluation Announced Systems, which could operate the e-learning and send the result of that to the parents. From this, teachers and parent can communicate with each other dynamically. Especially, this system does not simply present results of student' learning but provide the extra learning which can make up for student' wrong questions in the base of the evaluation standard. this paper suggests this total learning solution so that parents can perceive the state of their children's learning under the mobile learning environment.

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A Study on an Efficient e-learning Content Creation and Maintenance Method (효과적인 e-learning 콘텐츠 생성 및 관리기법에 관한 연구)

  • Cho, Soo-Hyun;Kim, Young-Hak;Kim, Myoung-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.3
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    • pp.15-25
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    • 2008
  • Recently, with the growing use of e-learning, instructors develop new online courses using a variety of contents and then store the results on their computers. These contents should be updated with new information as time goes on, and a new content also can be produced by reusing these ones. However, a lot of time will be needed for instructors to search, edit, and manage various contents stored from place to place on their computers. Currently, the development of the e-learning content management tool. which performs efficiently these functions on the PC environment, leaves much to be desired. Therefore, in this paper, we proposed an e-learning content creation and management system which can manage efficiently a variety of contents stored from different locations on an instructor's computer and can develop easily new online courses. The proposed system can be used widely to develop contents for instructors based on the PC environment. For performance evaluation, this paper compared the proposed system with the previous system according to the retrieval time of content keyword, and the experiment showed that our system is much better than the previous one.

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A Study on the Standardization Strategy for e-Learning Quality Assurance (e-Learning QA 표준화 전략에 관한 연구)

  • Han, Tae-In;Kim, Kwang-Myung
    • Journal of Digital Convergence
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    • v.3 no.2
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    • pp.143-157
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    • 2005
  • Many papers point out that the e-Learning is one of the most important industries, and the effect on other industries can be more powerful than any other business. Therefore, we think about social, cultural, industrial and technological effect of the e-Learning in order to enlarge industry scale as well as educational performances. In many cases of developed countries, various kinds of study have been performed for the e-Learning quality assurance because quality of the e-learning should operate on effective and efficient learning and continuous market development of education industries. The e-Learning quality assurance has import function not only for learning contents reusability like a SCORM and metadata but also for learning system, solution and service operation, so activities for the quality assurance should consider of cultural and tactical approach when it is applied in the e-learning business. In this paper, we present the concept, domain and purpose of the e-Learning quality assurance. Furthermore, this paper proposes the process and methodology in order to make the quality assurance standard model which is consist of 6 phase such as Environment Research, Needs Analysis, Framework, Metrics, Development and Implementation, Evaluation and Feedback through the analysis and comparison of pre-studied worldwide quality control, management and assurance documents.

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A Study on E-Learning System of Korean Traditional Dance for Transmission and Dissemination (한국 전통춤의 전승 및 보급을 위한 이러닝 시스템에 관한 연구)

  • Lee, Jongwook;Lee, Ji-Hyun
    • Journal of the HCI Society of Korea
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    • v.12 no.3
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    • pp.5-11
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    • 2017
  • Korean traditional dance has cultural value and is human's cultural heritage. But they are in danger which is caused by lack of bearers and public interest. E-Learning of traditional dance using network technology and digital media can be a solution to extinction problem. The aim of this study is to propose the E-Learning courses and systems for learning traditional dance. E-Learning systems were evaluated in accordance with the HCI (Human Computer Interaction) user evaluation. This study contribute to overcoming distance constraints by offering synchronous E-Learning education system of traditional dance as intangible cultural heritage through new media experience.

Development of Evaluation Criteria on Learners' Satisfaction to Increase Effectiveness of the Cyber Home Learning System (사이버가정학습 효과성 증진을 위한 학습자 만족도 평가 준거 개발)

  • Kim, Yong;Kim, JaMee;Chae, BoYoung;Kim, JungWon;Seo, JeongHee;Song, JaeShin
    • The Journal of Korean Association of Computer Education
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    • v.10 no.6
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    • pp.61-68
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    • 2007
  • The Cyber Home Learning System(CHLS) is a representative, nationwide e-learning system specially for G1-12 in Korea. It was launched at 16 MPOE in 2005 and has been evolved through every year-its evaluation and sharing best practices. In terms of evaluation, learners' satisfaction is one of essential and indispensable factors to improve CHLS. In this research, evaluation criteria on learners's satisfaction were developed, and also, the developed evaluation criteria were verified through the process of item goodness analysis and item characteristic analysis. These evaluation criteria are expected to contribute to analysing learners' satisfaction more objectively and quantitatively.

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Method of an Assistance for Evaluation of Learning using Expression Recognition based on Deep Learning (심층학습 기반 표정인식을 통한 학습 평가 보조 방법 연구)

  • Lee, Ho-Jung;Lee, Deokwoo
    • Journal of Engineering Education Research
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    • v.23 no.2
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    • pp.24-30
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    • 2020
  • This paper proposes the approaches to the evaluation of learning using concepts of artificial intelligence. Among various techniques, deep learning algorithm is employed to achieve quantitative results of evaluation. In particular, this paper focuses on the process-based evaluation instead of the result-based one using face expression. The expression is simply acquired by digital camera that records face expression when students solve sample test problems. Face expressions are trained using convolutional neural network (CNN) model followed by classification of expression data into three categories, i.e., easy, neutral, difficult. To substantiate the proposed approach, the simulation results show promising results, and this work is expected to open opportunities for intelligent evaluation system in the future.

Design and Implementation of Learning Evaluation Announce Systems using Mobile Learning Device (무선 학습 도구를 이용한 학습평가결과 안내시스템의 설계 및 구현)

  • Hyoung-Seok, Kim;Sun-Gwan, Han
    • The Journal of Korean Association of Computer Education
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    • v.9 no.1
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    • pp.81-88
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    • 2006
  • This study was about design and development of the 'Mobile Learning Evaluation Announced System'(MLEAS), which could operate the e-learning and send the result of that to the parents. From this, teachers and parents can communicate with each other dynamically. Especially, this system does not simply present results of students 'learning but provide the extra learning which can make up for students' wrong questions in the base of the evaluation standard. This paper suggests this total learning solution so that parents can perceive the state of their children's learning under the mobile learning environment.

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