• 제목/요약/키워드: Learning Contents System

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ML-based Interactive Data Visualization System for Diversity and Fairness Issues

  • Min, Sey;Kim, Jusub
    • International Journal of Contents
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    • 제15권4호
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    • pp.1-7
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    • 2019
  • As the recent developments of artificial intelligence, particularly machine-learning, impact every aspect of society, they are also increasingly influencing creative fields manifested as new artistic tools and inspirational sources. However, as more artists integrate the technology into their creative works, the issues of diversity and fairness are also emerging in the AI-based creative practice. The data dependency of machine-learning algorithms can amplify the social injustice existing in the real world. In this paper, we present an interactive visualization system for raising the awareness of the diversity and fairness issues. Rather than resorting to education, campaign, or laws on those issues, we have developed a web & ML-based interactive data visualization system. By providing the interactive visual experience on the issues in interesting ways as the form of web content which anyone can access from anywhere, we strive to raise the public awareness of the issues and alleviate the important ethical problems. In this paper, we present the process of developing the ML-based interactive visualization system and discuss the results of this project. The proposed approach can be applied to other areas requiring attention to the issues.

Wiki 기반 협력학습에서 적응적 내비게이션 시스템이 그룹 활동에 미치는 효과 (Effectiveness of Adaptive Navigation System for Group Activity at the Wiki-based Collaborative Learning)

  • 한희섭;김현철
    • 컴퓨터교육학회논문지
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    • 제9권1호
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    • pp.41-48
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    • 2006
  • 위키는 분산 환경의 협력학습 활동에 매우 효율적인 도구임이 최근 여러 실험을 통하여 연구되어 왔다. 위키는 구성원간의 지식공유가 효율적으로 이루어 질 수 있는 기능을 제공하고는 있으나, 페이지와 링크의 동적인 변화로 인한 내용구조의 복잡성으로 인하여 각 구성원이 내용구조를 전체적으로 파악하거나 자신에게 필요한 페이지를 효율적으로 찾기 힘든 단점이 있다고 볼 수 있다. 본 연구에서는 그룹 구성원들에 의한 페이지의 변화가 많이 발생하는 온라인 프로젝트 협력학습활동에서 그룹의 각 구성원에게 내용 구조와 자신에게 관심 있는 활동 페이지를 개별적으로 안내해줄 수 있는 적응적 내비게이션 안내 시스템을 개발하였다. 우리는 먼저 각 페이지와 구성원간의 관계 모델을 페이지 변화 정보와 개별 로그 정보를 사용하여 개발하고 이 모델을 사용하여 적응적 내비게이션 시스템을 설계 및 구현 하였으며, 이 적응적 시스템이 그룹 구성원간의 효율적인 정보공유 그리고 그로 인한 협력학습활동을 어떻게 촉진시켰는지를 현장 실험을 통하여 보여준다.

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기업의 e-Learning에 대한 학습효과 및 전이에 영향을 미치는 요인 (Factors Influencing the Learning Effectiveness and Transfer of e-Learning in Business Organlizations)

  • 정경수;김경준
    • 한국정보시스템학회지:정보시스템연구
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    • 제15권2호
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    • pp.1-29
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    • 2006
  • The recent development of IT, consolidation of communication and multimedia technology have brought enormous changes in many organizations. Theses changes are enabling the new educational opportunities such as distance teaming and virtual class room. Recently, e-Learning has grown rapidly in business training field, In the context of companies, e-Learning has merits in terms of access convenience, costs reduction self-directed learning, reciprocity, and flexibility. In this regard, the primary purpose of this study is to investigate which factors of e-Learning influence the effectiveness of education and transfer of loaming in business organizations. Based on the prior studies of the education and business training field, research model and research hypotheses were developed. Factors studied in this paper were as follows: 1) learners' characteristics, 2) organizational support and 3) system environments. The results of our study are as follows. (1) Motivation perceived usefulness in Learner factors had an significant influence on both learning effectiveness and transfer of teaming, whereas Ability, expectation had an influence on transfer of teaming. (2) Support from peer, support from supervisor in Organization factors had an significant influence on both Loaming effectiveness and transfer of teaming, whereas support from organization had influence on learning effectiveness. (3) Appropriate contents in system circumstance had an significant influence on both teaming effectiveness and transfer of teaming, whereas interface design had an influence on learning effectiveness.

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암환자의 긍정성 증진을 위한 블렌디드 건강코칭 교육프로그램 프로토타입 개발 및 적용 (Developing and Pilot-Testing Blended Learning Program Prototypes for Health Coaching to Support Positive Growth of Cancer Patients)

  • 임철일;박태정;김성욱;윤영호
    • 한국IT서비스학회지
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    • 제18권5호
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    • pp.71-83
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    • 2019
  • This study aimed to develop and pilot-test educational program prototypes of training health coaches to help cancer patients overcome crises and create positive growth. For this purpose, the educational contents and methods of the blended learning program prototypes were derived through learner needs and literature analysis. The prototypes, which consist of introducing of health management and health information and understanding and practice of basic coaching and health coaching, were developed to integrate with four sessions of face-to-face, off-line classes, training practices through 12 tele-classes, and use of online learning system. The prototypes were conducted and pilot-tested by a total of 35 students selected through the document screening and the interview. After participating in the blended learning program, learners expressed greater overall satisfaction with each session program (average score = 4.36, with 5 being most satisfied), satisfaction with learning contents (average score=4.42) satisfaction with course preparation (average score = 4.26) and satisfaction with lecture materials (average score = 4.19). The results of this study show that a systematic and integrative approach for designing a blended learning program can be useful for various educational needs in health and medical fields. In the future, empirical studies are expected to see how these curricula are actually implemented and assess whether the intended learning outcomes are achieved.

Wikispaces: A Social Constructivist Approach to Flipped Learning in Higher Education Contexts

  • Ha, Myung-Jeong
    • International Journal of Contents
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    • 제12권4호
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    • pp.62-68
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    • 2016
  • This paper describes an attempt to integrate flip teaching into a language classroom by adopting wikispaces as an online learning platform. The purpose of this study is to examine student perceptions of the effectiveness of using video lectures and wikispaces to foster active participation and collaborative learning. Flipped learning was implemented in an English writing class over one semester. Participants were 27 low intermediate level Korean university students. Data collection methods included background questionnaires at the beginning of the semester, learning experience questionnaires at the end of the semester, and semi-structured interviews with 6 focal participants. Because of the significance of video lectures in flip teaching, oCam was used for making weekly online lectures as a way of pre-class activities. Every week, online lectures were posted on the school LMS system (moodle). Every week, participants met in a computer room to perform in-class activities. Both in-class activities and post-class activities were managed by wikispaces. The results indicate that the flipped classroom facilitated student learning in the writing class. More than 53% of the respondents felt that it was useful to develop writing skills in a flipped classroom. Particularly, students felt that the video lectures prior to the class helped them improve their grammar skills. However, with respect to their satisfaction with collaborative works, about 44% of the participants responded positively. Similarly, 44% of the participants felt that in-class group work helped them interact with the other group members. Considering these results, this paper concludes with pedagogical suggestions and implications for further research.

이 러닝 콘텐츠에 효과적인 컴퓨터 프로그램 시각화 방안에 대한 연구 (A Study on a Computer Program Visualization Method Effective for the e-Learning Contents)

  • 하상호
    • 공학교육연구
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    • 제10권3호
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    • pp.109-124
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    • 2007
  • 인터넷과 컴퓨팅 기술의 진보와 함께 사이버 공간에서 효과적인 학습을 위한 이 러닝(e-learning)에 대한 관심이 국, 내외적으로 매우 높다. 그러나 오늘날 대부분의 이 러닝 컨텐츠는 주로 텍스트 위주이며, 이미지, 동영상, 음성 등과 같은 간단한 수준의 멀티미디어 요소가 추가되는 정도의 수준에 불과하다. 본 논문에서는 컴퓨터 프로그래밍 이 러닝에 효과적인 방법을 제안한다. 제안된 방법은 순서도를 이용한 프로그램 시각화에 기반한다. 제안된 방법의 특징은 문장 수준 단위의 단계적, 계층적 프로그램 시각화, 언어의 제어 구조에 대한 순서도 기반 시각화, 프로그램 전체 구조로의 시각화 범위 확대, 소스 프로그램 대비 시각화, 학습자와의 상호작용 등을 들 수 있다. 마지막으로, 제안된 방법을 실현하는 시스템을 구현하고, 예제 프로그램에 대해서 그 실행 예를 보인다.

Research on Influencing Factors of Continuous Learning Willingness in Online Art Education Based on the UTAUT Model

  • Wang, Youwang;Fang, Xiuqing
    • International Journal of Contents
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    • 제18권2호
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    • pp.58-67
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    • 2022
  • As the Internet rapidly evolves, online learning has emerged as the third largest scenario in the field of education. Online education, different from the two traditional learning scenarios of the school and society, is characterized with broader learning types and higher freedom. In today's post-pandemic era, art education, which relies on face-to-face teaching, is of particular significance to expand online education methods. Based on the UTAUT model, this paper posits seven hypotheses about the willingness to continue learning in online art education. After collecting valid data through a questionnaire, a detailed empirical analysis was conducted via SPSS and AMOS. The results of empirical analysis show that less than half of the respondents had experienced the online art education, mirroring that this is a market worth developing. Based on the findings, learning habit does not significantly impact art learners' willingness to continue learning online. This result and other verified hypotheses are detailed in the discussion part of this paper. This study proves that UTAUT can better explain user behavior than the traditional information system model prior to the improvement, and also has strong explanatory power in the field of art education. The conclusion also posits some operational suggestions from the perspective of practitioners in this field, thereby providing a theoretical basis for art education practitioners.

A Quantitative Review on Deep Learning and Smart Factory from 2010 to 2023

  • Yong Sauk Hau
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.203-208
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    • 2024
  • The convergence of deep learning and smart factory is drawing a lot of attentions from not only industrial but also academic circles. The objective of this article is to quantitatively review on deep learning and smart factory from 2010 to 2023. This research analyzed the 138 articles, extracted from the Core Collection of Web of Science, in terms of four dimensions such as the main trend in article publications, the main trend in article citations, the distribution of article publications by research area, and the keywords representing the main contents of published articles. The quantitative review results reveal the following four points: First, the article publications drastically grew from 2019 to 2022 in its annual trend. Second, the article citations have rapidly grown since 2018. Third, Engineering, Computer Science, and Telecommunications are the top 3 research areas composing the 138 articles. Fourth, it is the top 10 keywords such as 'deep', 'learning', 'smart', 'detection', factory', 'data', 'system', 'manufacturing', 'neural', and 'network' that represent the main contents of the 138 articles published from 2010 to 2023 in deep learning and smart factory. These findings revealed by this quantitative review will be significantly useful for deepening and widening relevant future research on deep learning and smart factory.

이러닝과 연계된 모바일러닝에서 사이버대학생의 지속사용의도와 영향요인간 구조적 관계 분석 (A Study on the Factors Affecting Intention on Continuous Use of Mobile Learning in Cyber University)

  • 주영주;신의경;함유경
    • 한국정보시스템학회지:정보시스템연구
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    • 제23권3호
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    • pp.47-71
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    • 2014
  • The purpose of the present study is to verify the structural relationship among system quality, information quality, service quality, perceived ease of use, perceived usefulness, satisfaction, intention on continuous use of mobile learning in cyber university. For this study, W cyber university in Korea was chosen to conduct web survey. The subjects were 283 students who participated in W's cyber university courses. A hypothetical model was composed of system quality, information quality, service quality, perceived ease of use and perceived usefulness as exogenous variables, satisfaction and intention on continuous use of mobile learning as endogenous variables. The result of this study through structural equation modeling analysis is as follows: First, information quality only affect satisfaction, Second, perceived ease of use, perceived usefulness and satisfaction significantly affect intention on continuous use of mobile learning. These results imply that information quality should be considered for the design and development of mobile learning contents. Also, perceived ease of use, perceived usefulness and satisfaction is important to enhance intention on continuous use of mobile learning. This study proposes strategies for successful mobile learning in cyber university.