• Title/Summary/Keyword: 지러닝

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Emerging Technology Trends in e-Learning and Learning Analysis Technology (이러닝과 학습분석 기술에 대한 신흥기술 동향)

  • Lee, Myung-Suk;Pak, Ju-Geon;Lee, Joo-Hwa
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.337-339
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    • 2021
  • 본 연구는 최근 펜데믹 위기에서 교육의 변화하는 모습을 점검하고 미래의 학습에 대한 모습들을 예측하기 위해 이러닝과 학습분석에 대한 신흥기술의 동향을 살펴보고자 한다. 연구방법으로 신흥기술의 '하이프 사이클'과 '이러닝 예측 하이프 커버'를 기반으로 하여 각 단계별 기술들을 점검하고 펜데믹 위기에서 더 공고히 된 이러닝과 학습 관련 기술들이 무엇인지 살펴본다. 또한 하이프 사이클의 5단계인 기술촉발 단계, 부풀려진 기대의 정점 단계, 환멸 단계, 계몽 단계, 생산성 안정 단계인 각 단계별 학습과 관련된 기술들은 어떤 것이 있으며, 그 기술들이 이러닝과 학습분석에 어떠한 영향을 미칠 것인지 예측해 본다. 향후 연구로는 본 연구를 기반으로 인공지능이 이러닝과 학습분석에서의 역할을 알아보고자 한다.

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The Influence of B2C e-Learning Site Service Quality on Customer's Reuse Intention (B2C e-러닝 사이트의 서비스품질이 재이용의향에 미치는 영향)

  • Han, Dae-Mun;Kim, Yeong-Real;Kim, Jong-Woo
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.5
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    • pp.245-260
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    • 2006
  • The e-learning market in korea has been growing rapidly over the past several years. We selects the variables well matched to service quality of e-learning site on the basis of independent variables of this study, sets the models as adding the factors newly noticed such as convenience of site use in e-learning. We also see the significance of the relationships between service quality of e-learning site, personal performance, customer satisfaction and customer's reuse intention.

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A Suggestion of New e-Learning Implementation Model in Ubiquitous Environment (유비쿼터스 환경에서의 새로운 e-러닝 구축 모델)

  • Woo Jae-Kyoung;Kim Doh-Hyeong;Jung Jung-Hoi;Kim Yeong-Real
    • Journal of Korea Society of Industrial Information Systems
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    • v.9 no.3
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    • pp.80-88
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    • 2004
  • 본 논문은 기존에 선행 연구된 연구 자료를 비교${\cdot}$분석하여 e-러닝 환경 변화에 따른 현재 e-러닝의 문제점을 분석해보고 유비쿼터스 환경에서의 차세대 e-러닝의 방향에 대해 연구하였다. 특히 유비쿼터스 환경에서의 e-러닝에 대한 구축모델을 제안하여 앞으로의 e-러닝 발전 방향에 대해 살펴보았다. 우리나라의 경우에서처럼 인터넷 인프라 환경이 잘 갖춰져 있어 사교육비를 절감하고, 소외계층에 대한 생산성 향상에 크게 기여할 수 있는 e-러닝은 아직 태동단계라 축적된 정보가 많지 않지만, 무궁무진한 성장잠재력을 갖고 있으며, 앞으로도 끊임없이 연구되어야 할 부분이기도 하다. 본 논문에서 e-러닝의 현 상황의 문제점을 지적해보고, 유비쿼터스 환경에서의 구축모델을 제안함으로써 e-러닝의 앞으로 나아가야할 방향과 전망을 연구해보았다. 본 논문에서는 특히 향후 도래할 유비쿼터스 컴퓨팅 환경에서의 e-러닝을 접목함으로써 새로운 교육의 패러다임으로 이동되는 e-러닝의 활용 방안을 연구하여 앞으로 e-러닝의 나아가야할 방향을 연구하고자 하였다.

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A Study on Actual Conditions and Awareness of High School Students' Mobile Learning (고등학생의 모바일 러닝 실태 및 인식 분석)

  • Cho, Kyoo-Lak
    • The Journal of Korean Association of Computer Education
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    • v.15 no.6
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    • pp.53-64
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    • 2012
  • This study was to compare and analyze actual conditions and awareness of high school students' mobile learning. Survey was used as a research method and percentile, t-test and F-test were conducted for the statistical analyses. Results revealed that in the case of actual conditions on mobile device and mobile learning, slight differences were shown in various sub-variables, depending on independent variables (gender, grade, track); year 2010 can be the most important year for the mobile learning; high school students seldom utilize mobile learning in a small piece of time; mobile learning using Apps was not widespread yet. In the case of awareness of mobile learning, statistically significant differences were found in the use capacity of mobile devices, the increase of learning performance, and the continual interests of mobile devices.

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Development of Intelligent Agent Systems based on Semantic Web for e-Learning (e-러닝을 위한 시멘틱웹 기반 지능형 에이전트 시스템 개발)

  • Han, Sun-Gwan
    • The Journal of Korean Association of Computer Education
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    • v.9 no.3
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    • pp.121-128
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    • 2006
  • This study suggested the new e-learning systems based on agent to provide an adaptable learning. In Semantic Web environment, to develop an ontology and an intelligent agent is essential for an adaptable e-learning systems. Especially, to develop a reasoning engine using analysis of learning content and learners' information can offer an effective e-learning system. Therefore, we developed an applying model to an adaptable e-learning systems and the various ontologies for Semantic Web environment. Moreover, we analyzed and developed ontologies within the framework of learning domain, a learner and interface. Further, we implemented an intelligent e-learning for applying an agent's reasoning. Through this system proposed, we suggested the new e-learning systems model for Semantic Web environment.

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Effectiveness of G-learning Contents as an Educational Tool : The Analysis of G-learning Math in Elementary School (학습 도구로서 G러닝 콘텐츠의 활용과 학습 효과 분석 -초등학교 수학 교과 적용을 중심으로-)

  • Wi, Jong-Hyun;Song, In-Su
    • Journal of Korea Game Society
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    • v.11 no.3
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    • pp.55-62
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    • 2011
  • G-learning, based on online game, virtual reality activities and communities, is considered as a fresh, differentiated idea at learning which drives learners' interest and attention. The paper is to analyzed effectiveness of G-learning at the mathematics classes in elementary school. Fourth, fifth and sixth grade students in Seoul are selected as an experimental groups and their achievement scores are measured. The difference between G learning group and textbook group was significant. This result shows that G-learning has a positive effect on learning.

The Effect of G-Learning Towards a Student's Affective Domain in Math Subject (수학 교과에서 G러닝이 학습자의 정의적 영역에 미치는 영향)

  • Wi, Jong-Hyun;Cho, Doo-Young
    • Journal of Korea Game Society
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    • v.10 no.6
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    • pp.37-45
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    • 2010
  • The purpose of this paper is to analyze a positive educational effect of G learning(online game based learning). G learning has become an effective learning tool for constructivism based learning. Therefore, the paper developed G learning 'SKY math' and applied it to the elementary students. Through the analysis, the fact has been found that students' attitude and confidence for Math changed positively.

A Comparison and Analysis of Deep Learning Framework (딥 러닝 프레임워크의 비교 및 분석)

  • Lee, Yo-Seob;Moon, Phil-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.1
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    • pp.115-122
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    • 2017
  • Deep learning is artificial intelligence technology that can teach people like themselves who need machine learning. Deep learning has become of the most promising in the development of artificial intelligence to understand the world and detection technology, and Google, Baidu and Facebook is the most developed in advance. In this paper, we discuss the kind of deep learning frameworks, compare and analyze the efficiency of the image and speech recognition field of it.

The effects of online learning situation and learners' learning style on satisfaction in Blended Learning (온라인 학습상황과 학습자의 학습스타일이 블랜디드 러닝 만족도에 미치는 영향)

  • Lee, Sung-Ju;Kwon, Jae-Hwan
    • Journal of Internet Computing and Services
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    • v.12 no.6
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    • pp.95-103
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    • 2011
  • This study was executed to give a help in planning and implementing Blended learning through investigating the learners' satisfaction difference according to Blended learning situation and learners' trait. For this purpose this study divided online learning situation into three types to examine the influence on satisfaction. And participants was divided based on the learning style to examine the influence of the trait on satisfaction. The Blended learning satisfaction classified into four; web environment, content, face to face sessions, general view on Blended learning's implementation.

A Study on the Influence of Flip Learning Classes on Academic Performance in Primary Course of Technical University (공과대학 전공기초과목에서의 플립러닝 수업이 학업성적에 미치는 영향 연구)

  • Yi, Eunseon;Lim, Heuiseok
    • The Journal of Korean Association of Computer Education
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    • v.23 no.3
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    • pp.59-64
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    • 2020
  • This study conducted a 15-week experiment on 236 students who took a major in engineering to find out the impact of learning through flipped learning on their academic performance. Previous flipped learning studies have largely been tested on learning motivation or learning satisfaction through questionnaires, and few have compared academic performance differences. Therefore, it is necessary to identify the increase and decrease in academic performance in the flipped learning classroom. Studies have shown significant differences that is a big difference between the academic performance of the experimental group appling flipped learning and the control group appling traditional lecture-style classes, and the academic performance of the experimental group was higher than that of the control group. This can be said to have a positive effect on academic performance. Therefore, it is hoped that the flip learning method will be expanded in all curriculums.