• Title/Summary/Keyword: K-MOOC

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Analysis of learning efficiency of learner's preference and achievement according to e-learning contents type (온라인 학습콘텐츠 유형에 따른 학습자 선호도 및 만족도에 미치는 영향)

  • Choi, Eun-young;Park, Jungho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.213-214
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    • 2017
  • This study was conducted to analyze the relevant of the self-regulated learning capability and learning effectiveness based on the type of e-learning contents and learner's preference, academic achievement according to enhancement of K-MOOC. The results of this study will present the effectiveness of e-learning contents type, and expect to suggest to develop effective contents type for various courses.

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A study about a convergence development plan of MOOCs based e-learning in university (MOOCs에 기반한 대학이러닝의 융복합적 발전방안에 관한 연구)

  • Choi, Mi-Na;Roh, Hye-Lan
    • Journal of Digital Convergence
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    • v.13 no.7
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    • pp.9-21
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    • 2015
  • Nowadays, within the paradigm shift of e-learning, MOOCs service has been expanded among a number of global leading universities and this has affected our domestic universities' e-learning to look for different possibilities and new challenges. In consideration of our domestic educational condition, it is required to contemplate how university e-learning can be changed and developed with focus on MOOCs from the perspective of convergence development. This study suggests plans for convergence development in university e-learning based on MOOCs with conceptual model. We conducted the studies on relevant literature of university e-learning and MOOCs, expert consultation, SWOT analysis, survey for those involved of e-learning centers, etc. Through this process, we developed a final plan which integrates 'open advanced education course service', 'teaching and learning curation service', 'teaching and learning practice service', 'creative teaching and instruction method development and sharing service', and 'cloud based educational platform support service', etc with the perspective of convergence development. Also we designed convergence development plan based on MOOCs. It is assumed that the result of this research provides advanced plans for development of university e-learning and the base for further discussion of introduction and application of MOOCs service in domestic university.

A Study on Comparative Analysis for Competitiveness of Success Factors of the Platform Business (플랫폼비즈니스 성공요소의 경쟁력 비교 분석에 관한 연구)

  • Chang, Chung-Hoon;Lee, Kwang-Hyung;Noh, Kyoo-Sung
    • Journal of Digital Convergence
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    • v.14 no.3
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    • pp.243-250
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    • 2016
  • The importance of platform businesses in the global market is growing, but in Korea, platform businesses with a global competitive edge are rare. This study compared the competitiveness of the local and international platform businesses by analyzing the six success factors of platform businesses. It surveyed 104 professionals in ICT regarding the competitiveness of SNS services (Kakao Talk, Facebook), mobile payment systems (Samsung Pay, Apply Pay), digital content (Naver, YouTube), online shopping (G Market, Amazon) and education (K-MOOC, MOOC). In sum, the local platform business sector, compared to its U.S. counterpart, is lagging behind in creativity, value creation, cost reduction, networking effects and the ability to build, change and develop new ecosystems.

Search for Designing Strategies of E-Learning for Engineering Through Analyzing the Best Practices of Overseas MOOCs (해외 MOOC 우수사례 분석을 통한 공학 분야 이러닝 콘텐츠 설계 전략 탐색)

  • Jung, Hyojung;An, Junghyun;Lee, Hyejeong
    • Journal of Practical Engineering Education
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    • v.8 no.1
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    • pp.31-37
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    • 2016
  • Five and above engineering courses were selected from each of exemplary international MOOC platforms, and common e-learning design strategies were drawn out through observing the courses and analyzing the course elements. By finding out both macro(platform) and micro(content) levels of designing strategies, this study suggests the direction for designing engineering courses incorporating e-learning nationally. The major trend of current e-learning design is to provide bite-sized contents rapidly created and to deploy instructional strategies for promoting student participation in learning and diverse and contextualized learning experiences.

Implementation of Smart E-learning based on Blended Learning (혼합형 학습 기반 스마트 이러닝 구현)

  • Hong, YouSik
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.171-178
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    • 2020
  • Many countries are establishing and operating blended learning that combines the advantages of online and offline education. However, online education lecture-based Mooc courses have a very low level, with a graduation rate of less than 5-10%. Therefore, in order to increase the graduation rate of students taking online Mooc distance education lectures that anyone can easily take lectures anytime, anywhere on the web-based basis, it is necessary to introduce automatic analysis of students' understanding level of lectures and an automatic academic warning system. Moreover, in order to enter an advanced education country, it is necessary to develop an automatic judgment SW for wrong answer rate, automatic summary SW for lectures, and automatic analysis SW education for lecture-based weak subjects based on mixed learning levels. In order to improve this problem, in this paper, we proposed and simulated an automatic summarization system for lecture contents, an automatic warning system for incorrect answers, and an automatic judgment algorithm for weak subjects.

Guide to Learning Systems Biology for Korean Medicine Researchers (한의학 연구자를 위한 시스템 생물학 학습 가이드)

  • Kim, Chang-Eop
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.30 no.6
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    • pp.412-418
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    • 2016
  • The emergence of systems biology in the 21st century is changing the paradigm of biomedical research. Whereas the reductionist approaches focus on components rather than time or contexts, systems biology focus more on interrelationships, dynamics, and contexts. The key ideas of the systems biology shares much with the philosophy of Korean Medicine(KM) and therefore, the paradigm shift is shedding light on understanding the mechanism of action of KM at system level. In this article, I provide a guide to learning systems biology for KM researchers using online learning resources. Thanks to the recent development of MOOC(massive open online courses) and other online learning platforms, learners can access to plenty of high-quality resources from top-tier universities in the world. I expect this guide help researchers to employ systems biology methods into their KM researches, and will lead to the development of future curricula for training "bi-lingual" experts, KM and computational approaches.

Changes in University Education based on AI using Flipped Learning (AI 활용한 플립러닝 기반의 대학교육의 변화)

  • Kim, Ok-boon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.612-615
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    • 2018
  • The undergraduate structure based on flip learning should be a necessary course to cultivate value creation capability based on students' problem solving capability through the change of university education in the fourth industrial revolution era. Introduction and spread of Flipping Learning combining project-based learning with MOOC is requied. As the introduction and spread of AI-based learning consulting (E-Advisor), which is becoming increasingly advanced, the transition to "personalized education" that meets the 4th Industrial Revolution should be made.

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Review of Nursing Start-Up Literacy (간호창업에 대한 리터러시 고찰)

  • Lim, Ji Young;Kim, Juhang;Kim, Seulki
    • Journal of Home Health Care Nursing
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    • v.25 no.2
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    • pp.127-138
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    • 2018
  • Purpose: This study aimed to provide an overview of the present status of start-up literacy. Methods: The study selected literature from KoreaMed, RISS (Research Information Sharing Service), KISS (Korean studies Information Service System), KISTI (Korea Institute of Science and Technology Information), Ovid-MEDLINE (Medical Literature Analysis and Retrieval System Online), Embase, and Cochrane Library DB. Start-up curricula were collected from the homepage of nursing schools in Korea and the USA. Their contents were searched using Massive Open Online Course (MOOC) platforms; KOCW, K-MOOC, and Coursera. Results: Fifteen articles were selected through a systematic literature review. The main themes of nursing start-up were "driver," "barrier," "required competency," and "importance of education." The courses contained business planning, finance, marketing, leadership, and entrepreneurship. The main contents of MOOCs were similar. Conclusion: The results indicate the necessity to develop multi-scope nursing start-up education programs. Nursing start-up models integrated with appropriate business knowledge and skills in health care settings are needed. This study can be used as a guideline to design start-up education programs in nursing.

Topic modeling for automatic classification of learner question and answer in teaching-learning support system (교수-학습지원시스템에서 학습자 질의응답 자동분류를 위한 토픽 모델링)

  • Kim, Kyungrog;Song, Hye jin;Moon, Nammee
    • Journal of Digital Contents Society
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    • v.18 no.2
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    • pp.339-346
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    • 2017
  • There is increasing interest in text analysis based on unstructured data such as articles and comments, questions and answers. This is because they can be used to identify, evaluate, predict, and recommend features from unstructured text data, which is the opinion of people. The same holds true for TEL, where the MOOC service has evolved to automate debating, questioning and answering services based on the teaching-learning support system in order to generate question topics and to automatically classify the topics relevant to new questions based on question and answer data accumulated in the system. Therefore, in this study, we propose topic modeling using LDA to automatically classify new query topics. The proposed method enables the generation of a dictionary of question topics and the automatic classification of topics relevant to new questions. Experimentation showed high automatic classification of over 0.7 in some queries. The more new queries were included in the various topics, the better the automatic classification results.