Web 3.0 and E-Learning

2015 ◽  
pp. 101-123 ◽  
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

Web 3.0 and E-Learning

2016 ◽  
pp. 41-62
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

The Semantic Web and Its Entanglements

2017 ◽  
Vol 22 (1) ◽  
pp. 21-37 ◽  
Author(s):  
Matthew T. Mccarthy
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Linked Data ◽  
Practice Theory ◽  
Knowledge Systems ◽  
Access To Information ◽  
Assemblage Theory ◽  
Complex Interactions ◽  
The World ◽  
The Web

The web of linked data, otherwise known as the semantic web, is a system in which information is structured and interlinked to provide meaningful content to artificial intelligence (AI) algorithms. As the complex interactions between digital personae and these algorithms mediate access to information, it becomes necessary to understand how these classification and knowledge systems are developed. What are the processes by which those systems come to represent the world, and how are the controversies that arise in their creation, overcome? As a global form, the semantic web is an assemblage of many interlinked classification and knowledge systems, which are themselves assemblages. Through the perspectives of global assemblage theory, critical code studies and practice theory, I analyse netnographic data of one such assemblage. Schema.org is but one component of the larger global assemblage of the semantic web, and as such is an emergent articulation of different knowledges, interests and networks of actors. This articulation comes together to tame the profusion of things, seeking stability in representation, but in the process, it faces and produces more instability. Furthermore, this production of instability contributes to the emergence of new assemblages that have similar aims.

Dispatches from the Graduate Classroom

2010 ◽  
pp. 351-366
Author(s):  
F. R. Nordengren ◽  
Ann M. York
Keyword(s):  
Web 2.0 ◽  
Popular Literature ◽  
Future Research ◽  
Evidence Based ◽  
Web 3.0 ◽  
E Learning ◽  
Theoretical Evidence ◽  
Concept Of Information ◽  
Concurrent Analysis ◽  
The Web

This chapter is a practical overview of both the theoretical, evidence-based research in pedagogy and the anecdotal, experience-based practices of faculty who work daily in online and blended learning communities. This approach combines best practices with theoretical aspects of delivering and facilitating education with diverse adult learners. Issues and trends in E-learning are presented with specific examples for implementation and suggestions for future research. Using an evidence-based approach, the authors will explore and summarize recent research with a concurrent analysis of the anecdotal popular literature. The authors explore the concept of information literacy and other skills necessary to succeed in the Web 2.0 world. Their discussion takes us away from the traditional “sage on stage” versus “guide on side” dichotomy towards both a new understanding of Web 2.0’s role in education as well as a preface to what may become Web 3.0 and beyond.

Web-Based Multimedia Tools for Monitoring and E-Learning

2010 ◽  
pp. 1-21 ◽  
Author(s):  
F. Bellas ◽  
O. Fontenla-Romero ◽  
N. Sánchez-Maroño ◽  
J. A. Becerra
Keyword(s):  
Teaching Methodology ◽  
Resource Monitoring ◽  
Web Based ◽  
Basic Point ◽  
Multimedia Tools ◽  
Degree Of Satisfaction ◽  
E Learning ◽  
Interactive Videos ◽  
The Web

This chapter is devoted to the application of Web-based multimedia tools as a complement to traditional e-learning resources to improve the quality of teaching in two senses: adapting lesson contents to improving the understanding and increasing the motivation of the students. The authors present a set of practical tools that have achieved successful results in their courses and that, together, provide a more proactive teaching methodology based on interactive and mobile learning materials. These tools can be divided into two main groups: simulations and interactive videos, directly related to the process of studying, and quizzes and questionnaires, useful to adapt the teaching to the objective comprehension level. In addition, the authors point out the advantages of providing the students with more familiar multimedia materials suitable for being transported and consulted in mobile devices. A basic point of this methodology is that all these resources are available through a Web-based interface, so that the interaction does not depend on the physical presence of the students. Finally, the authors must point out that with their methodology they are focused on monitoring learning, which is achieved directly with online questionnaires, but they have also performed resource monitoring, in terms of degree of satisfaction and practical use. This is achieved, in this case, through the use of surveys and from the analysis of the statistics provided by the Web-based application.

An Overview and Technological Background of Semantic Technologies

2021 ◽  
pp. 1-21
Author(s):  
Reinaldo Padilha França ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur ◽  
Yuzo Iano
Keyword(s):  
Semantic Web ◽  
Knowledge Representation ◽  
Data Representation ◽  
Current Data ◽  
The Internet ◽  
Semantic Technologies ◽  
Web Based ◽  
Web 3.0 ◽  
Technological Advances ◽  
The Web

The Semantic Web concept is an extension of the web obtained by adding semantics to the current data representation format. It is considered a network of correlating meanings. It is the result of a combination of web-based conceptions and technologies and knowledge representation. Since the internet has gone through many changes and steps in its web versions 1.0, 2.0, and Web 3.0, this last call of smart web, the concept of Web 3.0, is to be associated with the Semantic Web, since technological advances have allowed the internet to be present beyond the devices that were made exactly with the intention of receiving the connection, not limited to computers or smartphones since it has the concept of reading, writing, and execution off-screen, performed by machines. Therefore, this chapter aims to provide an updated review of Semantic Web and its technologies showing its technological origins and approaching its success relationship with a concise bibliographic background, categorizing and synthesizing the potential of technologies.

Conclusions

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Web Search ◽  
Web Based ◽  
E Learning ◽  
Computer Based ◽  
Intelligent Devices ◽  
Automated Data Integration ◽  
The Web

At the start of this book we outlined the challenges of automatic computer based processing of information on the Web. These numerous challenges are generally referred to as the ‘vision’ of the Semantic Web. From the outset, we have attempted to take a realistic and pragmatic view of this vision. Our opinion is that the vision may never be fully realized, but that it is a useful goal on which to focus. Each step towards the vision has provided new insights on classical problems in knowledge representation, MASs, and Web-based techniques. Thus, we are presently in a significantly better position as a result of these efforts. It is sometimes difficult to see the purpose of the Semantic Web vision behind all of the different technologies and acronyms. However, the fundamental purpose of the Semantic Web is essentially large scale and automated data integration. The Semantic Web is not just about providing a more intelligent kind of Web search, but also about taking the results of these searches and combining them in interesting and useful ways. As stated in Chapter 1, the possible applications for the Semantic Web include: automated data mining, e-science experiments, e-learning systems, personalized newspapers and journals, and intelligent devices. The current state of progress towards the Semantic Web vision is summarized in Figure 8.1. This figure shows a pyramid with the human-centric Web at the bottom, sometimes termed the Syntactic Web, and the envisioned Semantic Web at the top. Throughout this book, we have been moving upwards on this pyramid, and it should be clear that a great deal of progress that has been made towards the goal. This progress is indicated by the various stages of the pyramid, which can be summarized as follows: • The lowest stage on the pyramid is the basic Web that should be familiar to everyone. This Web of information is human-centric and contains very little automation. Nonetheless, the Web provides the basic protocols and technologies on which the Semantic Web is founded. Furthermore, the information which is represented on the Web will ultimately be the source of knowledge for the Semantic Web.

scholarly journals Mapping Provenance Model to e-learning Ontology

2019 ◽  
Vol 8 (10) ◽  
pp. 857-863
Keyword(s):  
Semantic Web ◽  
Uniform Resource Identifier ◽  
Specific Manner ◽  
E Learning ◽  
Data Points ◽  
Trusted Data ◽  
The Given ◽  
The Web ◽  
Selection Of

The Semantic Web (SW) may be represented as it is advancement of the web; it is specifically conspired to describe information in a specific manner, which machine can understand easily. In this context the ‘object’ or “resource” derived from web must be a unique as Uniform Resource Identifier (URI). Ontologies are used to establish the relationships between objects. Trust or provenance plays important role in the semantic web. Trust defines the merit by which a user considers authenticity of the documents. Semantic web refers the credibility, reliability and tustability of the data in the given context. It is necessary to observe and differentiate trusted data points from entrusted ones. [8]. User has to take decision regarding selection of the documents based on considering all the parameters of trust, whether given information is reliable or not. The documents available in the web in which users put a new set of problems every time and need to obtain the solution exactly trustworthy.

scholarly journals Optimization of Web Services and Semantic Web Performance using different techniques provided by the QoS

2020 ◽  
Vol 9 (3) ◽  
pp. 381-384
Keyword(s):  
Quality Of Service ◽  
Web Services ◽  
Semantic Web ◽  
Information Overload ◽  
Optimization Problems ◽  
Service Level ◽  
Services Research ◽  
Web Performance ◽  
The Web

Current Web services research is increasingly using semantic models to extract useful information from the Web according to different principles of the Semantic Web which allowed to take advantage of the consideration of the meaning and the meaning of the exchanged data to improve the feasibility of the different tasks such as the description, the pairing, and the discovery. This work focuses on semantic-service-oriented architectures in which providers of different Web services can describe, publish, and discover Semantic Web Services, whose purpose is to solve problems such as information overload and the navigation problem, which concern the users of the Web. In this paper, a solution to performance and optimization problems is proposed for the selection of web services at the QoS quality of service level taking into account the quality of service using different techniques provided by the QoS.

scholarly journals Use Of E-Learning In Improving The Provision Of Teaching Materials In The Mice Studies Program State Polytechnic Of Medan

2020 ◽  
Author(s):  
Mardhiatul Husna
Keyword(s):  
Content Management ◽  
Business Administration ◽  
Teaching Staff ◽  
Content Management System ◽  
Teaching Materials ◽  
Web Based ◽  
Web Based Learning ◽  
E Learning ◽  
The Web

This research aimed to improve the quality of learning by providing teaching materials to students in an easier way, can be accessed at any time by implementing e-learning in MICE Studies Program Department of Business Administration. Generally students understand e-Iearning as a learning method that utilizes the Internet and online computer. So this will facilitate the implementation and utilization of e-Iearning at the Department of Business Administration. This research utilizes a Content Management System (CMS) Moodle as a means to build applications web-based learning, CMS Moodle been already popular used so expect faculty and students can easily use and CMS Moodle is available directly in the web hosting services that can save time installation This research is also expected to motivate the teaching staff be more active in preparing and making teaching materials for the learning process can run better

Raif-Semantics: A Robust Automated Interlinking Framework for Semantic Web Using MapReduce and Multi-node Data Processing

2022 ◽  
Author(s):  
Shweta S. Aladakatti ◽  
S. Senthil Kumar
Keyword(s):  
Semantic Web ◽  
Query Language ◽  
Web Page ◽  
Web 3.0 ◽  
Detection Algorithms ◽  
Ideal System ◽  
Random Moment ◽  
Time Required ◽  
The Web ◽  
Meaningful Data

The era of the web has evolved and the industry strives to work better every day, the constant need for data to be accessible at a random moment is expanding, and with this expansion, the need to create a meaningful query technique in the web is a major concerns. To transmit meaningful data or rich semantics, machines/projects need to have the ability to reach the correct information and make adequate connections, this problem is addressed after the emergence of Web 3.0, the semantic web is developing and being collected an immense. Information to prepare, this passes the giant data management test, to provide an ideal result at any time needed. Accordingly, in this article, we present an ideal system for managing huge information using MapReduce structures that internally help an engine bring information using the strength of fair preparation using smaller map occupations and connection disclosure measures. Calculations for similarity can be challenging, this work performs five similarity detection algorithms and determines the time it takes to address the patterns that has to be a better choice in the calculation decision. The proposed framework is created using the most recent and widespread information design, that is, the JSON design, the HIVE query language to obtain and process the information planned according to the customer’s needs and calculations for the disclosure of the interface. Finally, the results on a web page is made available that helps a user stack json information and make connections somewhere in the range of dataset 1 and dataset 2. The results are examined in 2 different sets, the results show that the proposed approach helps to interconnect significantly faster; Regardless of how large the information is, the time it takes is not radically extended. The results demonstrate the interlinking of the dataset 1 and dataset 2 is most notable using LD and JW, the time required is ideal in both calculations, this paper has mechanized the method involved with interconnecting via a web page, where customers can merge two sets of data that should be associated and used.

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