Technology supports for distributed and collaborative learning over the internet

Li, Qing; Lau, Rynson W. H.; Shih, Timothy K.; Li, Frederick W. B.

doi:10.1145/1323651.1323656

Cited by 63 publications

(38 citation statements)

References 31 publications

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“…A knowledge tree is suggested as an architecture for adaptive e-learning based on distributed reusable intelligent learning activities [8]. Many new technologies for e-learning over the Internet are introduced in [19].…”

Section: On Web-based Learningmentioning

confidence: 99%

Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning

Zhuge

2009

IEEE Trans. Knowl. Data Eng.

243

136

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Abstract-TheWorld Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper firstly suggests the Semantic Link Network SLN, a loosely coupled semantic data model that can semantically link resources and derive out implicit semantic links according to a set of relational reasoning rules. By studying the intrinsic relationship between semantic communities and the semantic space of SLN, approaches to discovering reasoning-constraint, rule-constaint and classification-constraint semantic communities are proposed. Further, the approaches, principles and strategies for discovering emerging semantics in dynamic SLN are studied. An e-learning environment incorporating the proposed approaches, principles and strategies to support effective discovery and learning is suggested.

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Section: On Web-based Learningmentioning

confidence: 99%

Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning

Zhuge

2009

IEEE Trans. Knowl. Data Eng.

243

136

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“…These enrichments allow students to learn more effectively when the learning materials are presented in suitable forms, such as video, audio or text. From the system perspective, e-learning refers to an Internet-based learning platform, where students and teachers may interact or collaborate with each other [16]. For example, teachers can raise topics for online discussion that allow remote students to work together on these topics.…”

Section: Introductionmentioning

confidence: 99%

Recent development in multimedia e-learning technologies

Lau

Yen

et al. 2013

World Wide Web

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract Multimedia and networking technologies have significantly impacted on our daily activities, particularly in terms of how we learn. Nowadays, classroom teaching no longer simply relies on chalk and blackboard as the prime medium for course dissemination. Elearning technologies have made it possible to provide a virtual classroom environment on the Web through supporting teacher-student and student-student communications, course material distribution as well as online student assessments. They provide students with more control over their learning schedule and pace. On top of this, multimedia technologies further offer students different forms of media to match their learning styles, leading to enhancements of their learning effectiveness. This extended introduction discusses the latest e-learning specific multimedia technologies, their research challenges and future trends from both pedagogical and technological perspectives. We also summarize the papers included in this special issue.

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“…With the rapid development of information technology, human kinds are more likely to read and share information by similar intelligent applications. For example, the distributed and collaborative learning [7], semantic representation of scientific documents for supporting elearning [8], discovering and searching of correlation between shared resources [9], and smart component technologies for human centric computing [10],etc.…”

Section: Introductionmentioning

confidence: 99%

Building the Multi-layer Theory of Association Semantic based on the Power-law Distribution of Linking Keywords

Zhu¹,

Tang²,

Zhang³

et al. 2016

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-Web information contain plentiful, significant knowledge which is eager to be explored by users. Effective semantic layered technology not only can provide theoretical support for knowledge discovery in Web resources, but also can improve the searching efficiency of the related information system. This paper builds the multi-layer theory of association semantic based on the power-law distribution of linking keywords. First, some experiments of four types of keywords with different linking role are done to discover the possible distribution law. Experiment results show that four types of keywords are all reveal power-law distribution. Then, based on the discovered power-law distribution, the multi-layer theory of association semantic is built. The multi-layer theory of association semantic can provide a theoretical support for knowledge recommendation with different particle size on Association Link Network (ALN).Keywords-Association Link Network, power-law distribution, multi-layer theory of association semantic, knowledge discovery in Web resources.

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Technology supports for distributed and collaborative learning over the internet

Cited by 63 publications

References 31 publications

Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning

Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning

Recent development in multimedia e-learning technologies

Building the Multi-layer Theory of Association Semantic based on the Power-law Distribution of Linking Keywords

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