• Title/Summary/Keyword: learning paradigm

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A Study on U-Learning (U-Learning에 관한 연구)

  • Park, Chun-Myeong
    • 한국디지털정책학회:학술대회논문집
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    • 2005.06a
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    • pp.605-615
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    • 2005
  • This paper represent a method of U-Learning based on advanced e-Learning. Ubiquitous computing configuration and advanced Information technology. As we know well, the 21th century is called knowledge based informational society. Many scholar stress that the improved 21th century's educational paradigm be able to success based on advanced educational paradigm. Therefore, we discuss the material for e-Learning fields including with necessity, vision, law, quality authorization etc. Also, we discuss the relational technologies including with meta data, standardization, identification etc. Finally, we propose a method for constructing the U-Learning based on advanced e-Learning and Ubiquitous computing configuration.

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Accomplishments and Prospects in the Psychology of Mathematics Learning

  • Kirshner, David
    • Research in Mathematical Education
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    • v.1 no.1
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    • pp.13-22
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    • 1997
  • Cognitive psychology has provided valuable theoretical perspectives on learning mathematics. Based on the metaphor of the mind as an information processing device, educators and psychologists have developed detailed models of competence in a variety of areas of mathematical skill and understanding. Unquestionably, these models are an asset in thinking about the curriculum we want our students to follow. But any psychological paradigm has aspects of learning and knowledge that it accounts for well, and others that it accounts for less well. For instance, the paradigm of cognitive science gives us valuable models of the knowledge we want our students to acquire; but in picturing the mind as a computational device it reduces us to conceiving of learning in individualist terms. It is less useful in helping us develop effective learning communities in our classrooms. In this paper I review some of the significant accomplishments of cognitive psychology for mathematics education, and some of the directions that situated cognition theorists are taking in trying to understand knowing and learning in terms that blend individual and social perspectives.

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Pedagogical Paradigm-based LIO Learning Objects for XML Web Services

  • Shin, Haeng-Ja;Park, Kyung-Hwan
    • Journal of Korea Multimedia Society
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    • v.10 no.12
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    • pp.1679-1686
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    • 2007
  • In this paper, we introduce the sharable and reusable learning objects which are suitable for XML Web services in e-learning systems. These objects are extracted from the principles of pedagogical paradigms for reusable learning units. We call them LIO (Learning Item Object) objects. Existing models, such as Web-hosted and ASP-oriented service model, are difficult to cooperate and integrate among the different kinds of e-learning systems. So we developed the LIO objects that are suitable for XML Web services. The reusable units that are extracted from pedagogical paradigms are tutorial item, resource, case example, simulation, problems, test, discovery and discussion. And these units correspond to the LIO objects in our learning object model. As a result, the proposed model is that learner and instruction designer should increase the power of understanding about learning contents that are based on pedagogical paradigms. By using XML Web services, this guarantees the integration and interoperation of the different kinds of e-learning systems in distributed environments and so educational organizations can expect the cost reduction in constructing e-learning systems.

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An Empirical Assessment of the Strategic Roles of e-Learning Center in the Community of Local Universities (지역 대학 e-Learning 센터의 전략적 역할분석에 관한 연구)

  • Jeong, Dae-Yul;Kim, Kwon-Su
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2005.05a
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    • pp.409-424
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    • 2005
  • Today, many universities are confronted with the changing education paradigm such as e-Learning, Distance Education, Virtual University. This IT-based learning paradigm shift is certainly a new opportunity or a threat to our universities. The Local University Community e-Learning Centers that support the demand of e-Learning for their community are recommended. Tn order to operate these centers efficiently, the strategic roles of the e-Learning center should first be defined. To define the strategic roles, We classified the strategic roles of the e-Learning center into four dimensions, (1) to improve management efficiency, (2) to enhance educational service, (3) to acquire competitive advantages, (4) to build new education infrastructure, and each dimension has S or 6 measurement items. As result, to enhance the educational service was considered as the most significant factor among the four dimensions of strategic roles, and the infrastructure building was the next. Through the strategic roles definition and analysis of expected role ratings, we could have recommended the direction and operation policies of the e-Learning centers.

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Instructional Design for Distance Learning (원격교육을 위한 교수설계)

  • Ryu, Il;Kim, Jae-Jeon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1998.10a
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    • pp.311-314
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    • 1998
  • The increased demand for distance learning has created a need to explore the implications of the emerging paradigm shift on the learning environment. This paper is introducing the framework of distance learning in higher education. It also presents the experience of developing a course for distance learning.

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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.

The impact of flow on learning performance in the e-Learning systems (e-Learning 플로우가 학습성과에 미치는 영향)

  • Lee, Moon-Bong
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.1
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    • pp.85-94
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    • 2010
  • One of the most significant changes is the paradigm shift from teacher-centered learning to learner-centered learning. Along with this paradigm shift, understanding of characteristics of e-learners who are both system users and learners is needed. Before suggesting a comprehensive framework, this study proposes research model that can improve a learning performance using the flow theory. The results show that intrinsic interest and focused attention are significant predictors of learning performance. Especially, intrinsic interest is more important on learning performance than focused attention. Information quality and skill are found to be strong predictors of the intrinsic interest. Also, perceived ease of use, skill and computer self-efficacy are strong predictors of the focused attention.

A Study on the Learning Method of 21C University Education Paradigm (21C 대학교육패러다임의 학습방법에 관한 연구)

  • Park, Chun-Myoung
    • The Journal of Korean Institute for Practical Engineering Education
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    • v.4 no.2
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    • pp.60-66
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    • 2012
  • This paper present a learning method of 21C university education paradigm after survey the earlier several effective learning methods after we survey the earlier several researches which is researched until latest. For the purpose of that, we discuss the goal of learning, and effective time management and learning preparation. In general, many students spent valueless time without self-driving learning method during their student's period. But when they are higher grade, they know the important of self-driving learning method. The proposed learning method is the more efficiency in case of using selective of mentioned several efficient learning method according to student's quality and given lecture class configuration.

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Trend of Edge Machine Learning as-a-Service (서비스형 엣지 머신러닝 기술 동향)

  • Na, J.C.;Jeon, S.H.
    • Electronics and Telecommunications Trends
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    • v.37 no.5
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    • pp.44-53
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    • 2022
  • The Internet of Things (IoT) is growing exponentially, with the number of IoT devices multiplying annually. Accordingly, the paradigm is changing from cloud computing to edge computing and even tiny edge computing because of the low latency and cost reduction. Machine learning is also shifting its role from the cloud to edge or tiny edge according to the paradigm shift. However, the fragmented and resource-constrained features of IoT devices have limited the development of artificial intelligence applications. Edge MLaaS (Machine Learning as-a-Service) has been studied to easily and quickly adopt machine learning to products and overcome the device limitations. This paper briefly summarizes what Edge MLaaS is and what element of research it requires.

A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus

  • Daoud, Mosaab
    • Genomics & Informatics
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    • v.18 no.1
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    • pp.7.1-7.7
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    • 2020
  • In this paper, we present few technical notes about the distance distribution paradigm for Mosaab-metric using 1, 2, and 3 grams feature extraction techniques to analyze composite data points in high dimensional feature spaces. This technical analysis will help the specialist in bioinformatics and biotechnology to deeply explore the biodiversity of influenza virus genome as a composite data point. Various technical examples are presented in this paper, in addition, the integrated statistical learning pipeline to process segmented genomes of influenza virus is illustrated as sequential-parallel computational pipeline.