• 제목/요약/키워드: e-Learning Program

검색결과 282건 처리시간 0.032초

e-러닝 기반의 SPRT형 CAT모델에서 학습정보이력 요소의 적용이 판정의 정확성에 미치는 영향 (The Effects of Elements of Learning Information's Record on the Correctness of Decision When Applied to the E-Learning based on CAT with SPRT Model)

  • 김경현
    • 컴퓨터교육학회논문지
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    • 제10권5호
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    • pp.71-79
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    • 2007
  • 본 연구는 e-러닝 기반의 SPRT형 CAT모델에서 학습정보이력 요소(학습시간 및 모의테스트 점수)의 적용이 판정의 정확성에 어떠한 영향을 미치는지 알아보고자 보았다. 그 결과, e-러닝 기반의 SPRT 판정에 학습정보이력요소(학습시간과 모의테스트 점수) 변인을 적용하면 SPRT 판정의 정확성을 효율적으로 개선할 수 있음을 밝혀내었다. 특히 모의테스트 점수 변인은 거의 90%에 이르는 개선 효과를 보여주어 실제 e-러닝 평가 환경에서 곧바로 활용할 수 있는 변인으로 판명되었다. 따라서 학습정보이력요소를 평가영역의 SPRT와 접목시킨다면 학습자의 성적을 보다 정확하고 신속하게 판정할 수 있어, 궁극적으로 e-러닝 학습자의 개별화 촉진에 실제적으로 기여할 수 있을 것이다. 향후 다양한 학습정보이력요소를 반영한 알고리즘을 개발한다면 한 단계 높은 수준의 e-러닝 평가 프로그램을 제작할 수 있을 것이다.

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Factors Influencing Learning Satisfaction of Migrant Workers in Korea with E-learning-Based Occupational Safety and Health Education

  • Lee, Young Joo;Lee, Dongjoo
    • Safety and Health at Work
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    • 제6권3호
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    • pp.211-217
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    • 2015
  • Background: E-learning-based programs have recently been introduced to the occupational safety and health (OSH) education for migrant workers in Korea. The purpose of this study was to investigate how the factors related to migrant workers' backgrounds and the instructional design affect the migrant workers' satisfaction with e-learning-based OSH education. Methods: The data were collected from the surveys of 300 migrant workers who had participated in an OSH education program. Independent sample t test and one-way analysis of variance were conducted to examine differences in the degree of learning satisfaction using background variables. In addition, correlation analysis and multiple regression analysis were conducted to examine relationships between the instructional design variables and the degree of learning satisfaction. Results: There was no significant difference in the degree of learning satisfaction by gender, age, level of education, number of employees, or type of occupation, except for nationality. Among the instructional design variables, "learning content" (${\beta}=0.344$, p < 0.001) affected the degree of learning satisfaction most significantly, followed by "motivation to learn" (${\beta}=0.293$, p < 0.001), "interactions with learners and instructors" (${\beta}=0.149$, p < 0.01), and "previous experience related to e-learning" (${\beta}=0.095$, p < 0.05). "Learning environment" had no significant influence on the degree of learning satisfaction. Conclusion: E-learning-based OSH education for migrant workers may be an effective way to increase their safety knowledge and behavior if the accuracy, credibility, and novelty of learning content; strategies to promote learners' motivation to learn; and interactions with learners and instructors are systematically applied during the development and implementation of e-learning programs.

Thematic Analysis for Classifying the E-Learning Challenges and the Suggested Solutions: The Unusual Era of the COVID-19

  • Nazari, Behzad;Hussin, AB Razak Bin Che;Niknejad, Naghmeh
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권4호
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    • pp.79-89
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    • 2021
  • Electronic learning (e-learning) empowers the higher education in providing sustainable instruction during the infrequent circumstance when the wide-spreading disastrous challenge of the COVID-19 results in the closure of various sectors in the society. During this time, e-learning serves the levels of the education sector such as higher education well by delivering and receiving materials from distance with respect to movement restrictions imposed by the government, for example the Movement Control Order (MCO) in Malaysia. In this qualitative survey, the existing e-learning challenges and the recommended solutions to the problems from the senior lecturers' perspectives were collected through an online open-ended questionnaire. A number of five senior lecturers out of eight at the Universiti Teknologi Malaysia (UTM) answered the questionnaire. The UTM has been capable of providing e-learning courses for all of its lecturers and students during the closure of higher education institutions owing to the pernicious health conditions stemmed from the crisis of the COVID-19. The major existing challenges found in the e-learning program at the UTM and the suggested solutions to address them are listed and the main themes are illustrated in the word cloud format using the NVivo software. In the end, the conclusion is paragraphed and the future work is proposed. Overall, the purpose of this study is to address the e-learning challenges and to prepare a list of recommendations that can serve as solutions from the standpoint of the UTM senior lecturers during the MCO in Malaysia.

Science Gifted Learning Program: Research & Education Model

  • Shim, Kew-Cheol;Kim, Yeo-Sang
    • 한국과학교육학회지
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    • 제25권6호
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    • pp.635-641
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    • 2005
  • This paper suggests a research & education (R&E) model for the gifted in science education. The model has been developed under three assumptions. The first is that using the sequences of a gifted educational program designed to facilitate the process will assist in gifted students' construction of scientific knowledge and comprehension of laboratory practice through concrete experimental experience. The second is that gifted students will be able to apply this learning to further study using and extending scientific knowledge and experience. The third is that challenging tasks and feedback at the requisite stage of development will improve instructional effectiveness. The R&E Model has five phases: engaging, exploring, planning, performing and elaborating; furthermore, it suggests roles for the mentee and mentor. The R&E model has two functions for gifted education. The first is providing guidance for gifted curriculum developers as they design a mentor program, and the second is helping a mentor improve instructional effectiveness through use of strategies. This model has potentials to educate the gifted students in the Science Education Institute for the Gifted.

중학생을 위한 환경교육 e-Learning 콘텐츠 개발 (Environmental Education e-Learning Contents Development for the Middle School Students)

  • 서우석;이용환;정철영;이재호;나승일;김진모;김재호;이윤조
    • 한국환경교육학회지:환경교육
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    • 제19권3호
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    • pp.20-39
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    • 2006
  • The purpose of the study is to develop e-Learning contents of environmental education for middle school students. The contents were developed based on literature review, the analysis of domestic and foreign programs and e-Learning contents on environmental education and expert advice. There are five main characteristics. First, this program has 12 sessions and is divided into six parts: introduction, air, water, animals and plants, soil, and resources and energy. Second, the contents were developed with consideration of middle school students' consist of optimized for learners by analyzing the needs of middle school students. Third, each part consists of five steps: "open", "unfold", "foster", "strengthen & refine", and "addition." Fourth, the contents have been developed in line with SCORM, an international standard for distnt education, to ensure reusability, accessibility, interoperability, and durability. Fifth, the contents are developed for blending online and off-line education. Developed program evaluated by 8 environmental education experts according to 10 evaluation item of total contents and contents development structure. In result, it evaluated comparatively high score.

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지식경영(KM)과 e-Learning의 통합 방안 연구 (Study of Integrating Knowledge Management and e-Learning)

  • 주영주;이광희
    • 한국정보교육학회:학술대회논문집
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    • 한국정보교육학회 2004년도 하계학술대회
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    • pp.330-340
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    • 2004
  • 지식사회로의 발전은 전통적 교수-학습에서 방법상의 한계점을 극복하고 지식 활용을 따라 하기 위하여 지식경영(Knowledge Management: KM)을 도입하였다. 학교교육에서는 개인 학습의 관리와 성과를 향상시키려는 목적으로 e-Learning 을 추진하고 있어 이들 두 방법의 통합을 통하여 더욱 효율성을 높이자는 주장이 일고 있다. 급변하는 사이버교육환경의 변화 속에서 KM과 e-Loaming의 다양한 통합 사례를 분석하고 체계적인 통합 접근 방법을 소개하는 연구 자료는 그리 많지 않다. 이에 본 연구는 KM과 e-Learning의 통합시 성공요인과 장점을 분석하고 통합 사례를 통한 문제점 도출과 최적화 방안을 제시하고자 한다.

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호스피스완화의료 사회복지사 e-learning 교육과정 개발 (Development of e-learning Education Programs for Social Workers in Hospice and Palliative Care)

  • 심혜영;장윤정
    • Journal of Hospice and Palliative Care
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    • 제18권1호
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    • pp.9-15
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    • 2015
  • 말기암환자 관리를 위해서 전문인력 교육은 필수적이다. 정부에서는 암관리법을 통해 호스피스완화의료의 양적 확대를 기반으로 전문 인력을 양성하기 위해 제2기 암정복 10개년 계획에서 전문인력 확충계획을 발표하였다. 그간, 호스피스완화의료 전문인력 훈련을 위한 표준교육 과정과 의사/간호사 e-learning에 이어 이번 사회복지사 e-learning을 개발하여 운영하게 되었다. 호스피스완화의료 현장에서 사회복지사는 호스피스완화의료 대상자들의 심리 사회적 문제를 해결하는 중추적 역할을 수행해왔으며, 우리나라 호스피스완화의료가 정착되고 제도화되기까지 현장에서 전문가의 책임과 역할을 다해오고 있다. 하지만 그간 사회복지사 직종을 위한 체계적인 교육 과정이 없는 실정으로 사회복지 실천 지식과 기술을 충분히 습득하는 데 어려움이 있었다. 이번 호스피스완화의료 사회복지사 e-learning 과정 개발을 통해 말기암환자를 돌보는 사회복지사의 정체성과 전문성, 임상현장에서의 실천능력이 함양되고 교육 접근성이 향상될 것이며, 향후 보수교육 과정을 통한 지속적인 전문성 보장을 위한 교육제도가 제도적으로 도입되어 더욱 발전하길 기대한다.

e-Learning 시스템을 위한 XML기반 효율적인 교육 컨텐츠의 설계 및 구현 (Design and Implementation of Contents based on XML for Efficient e-Learning System)

  • 김영기;한선관
    • 정보교육학회논문지
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    • 제5권2호
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    • pp.279-287
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    • 2001
  • 본 연구는 효율적인 e-Learning 컨텐츠를 제공하기 위하여 개념적으로 표준화된 XML 컨텐츠 구조를 정의, 설계에 관한 내용이며 이를 쉽게 생성하기 위한 XML컨텐츠 프로토타입 생성기를 구현에 관한 내용이다. 또한 생성된 XML 컨텐츠를 학습자의 요구에 맞는 학습에 제공하기 위하여 사례기반 추론과 베이지안 확률에 의한 검색 방법을 응용.구현하였다. 이를 통하여 기존의 HTML기반 e-Learning System에서는 제공할 수 없었던 컨텐츠의 커스터마이즈화와 표준화를 이룰 수 있으며 학습자 수준에 맞는 적응형 컨텐츠를 제공할 수 있다. 이의 효율성을 평가하기 위해서 실제 e-Learning 시스템의 자바 학습에 적용하였으며 검색 결과를 통해 그 효율성을 입증하였다.

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컴퓨터 알고리즘 교육을 위한 온라인 알고리즘 뱅크 구현 (Design and Implementation of Online Algorithm Bank for Algorithm E-learning)

  • 박우창
    • 컴퓨터교육학회논문지
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    • 제7권4호
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    • pp.1-6
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    • 2004
  • 온라인상에서 교육 내용의 전달은 많은 방법들이 개발되어 있지만 컴퓨터 언어 및 알고리즘의 e-learning과 실습은 웹상에서 프로그램 실습의 어려움으로 인하여 이론과 실습이 병행되지 못하여 왔다. 본 논문에서는 알고리즘을 검색하고 관리할 수 있는 뱅크를 구축하고 실행 인터페이스를 만들어, 학생들이 직접 웹상에서 각각의 프로그램들을 실행시킬 뿐 아니라 프로그램을 수정하여 실행할 수 있도록 하였다. 웹상에서 실습을 통한 알고리즘 뱅크 시스템은 실습 환경 구축과 적응에 대한 어려움을 없앰으로써 컴퓨터 알고리즘 학습에 대한 거리감을 없애는 효과가 있다.

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Effective E-Learning Practices by Machine Learning and Artificial Intelligence

  • Arshi Naim;Sahar Mohammed Alshawaf
    • International Journal of Computer Science & Network Security
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    • 제24권1호
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    • pp.209-214
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    • 2024
  • This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.