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Recent developments in Web technologies and using AI techniques to support efforts in making the Web more intelligent and provide higher-level services to its users have opened the door to building the Semantic Web. That fact has a number of important implications for Web-based education, since Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Web-based education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. Developments in the Semantic Web, while contributing to the solution to these problems, also raise new issues that must be considered if we are to progress. This paper surveys the basics of the Semantic Web and discusses its importance in future Web-based educational applications.

To say that the Web has affected many societies and cultures is to understate its impact along several dimensions. The Web is a technology which not only affects, but in some sense encompasses societies, cultures, and certainly institutions. Higher education -- at least in the cluster of ways in which it is practiced in the US, the EU, and Japan -- is one such bundle of social institutions affected and encompassed by the Web. While it is possible to overstate or mis-state the Web's effect, whether on higher education or on other institutional clusters, the encompassing reach of the technology, used in every country on Earth by literally tens of millions of users, makes it clear that the Web truly has a revolutionary effect. However, exploring what the Web has affected and continues to effect is a necessary element of any accurate estimation of how the newly emerging Semantic Web may, in its turn, effect societies, cultures, and institutional clusters like higher education.

Abstract. Recent developments in Web technologies and using AI techniques to support efforts in making the Web more intelligent and provide higher-level services to its users have opened the door to building the Semantic Web. That fact has a number of important implications for Web-based education, since Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Web-based education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education.

Research Topic: The Semantic Web - Reference Pages for Higher Education The semantic web is a complex and exciting technology that will change how we work in the information age, and how we interact with the Internet. To support research activity within the field of Education, this site provides dynamic links to resources around the world. Gathered here, you will find: * a vision for educational application of learning made possible with semantic web technologies, * a general reference resource for terms and definitions, * technical resources within the field of the semantic web and semantic networking, * case studies of the semantic web applied in different fields and in education, and * publications and conferences focusing on the semantic web.

"Earlier this month, I wrote about the Higher Education sector's interest in the opportunities presented by use of semantic technologies. Today I published a podcast with Thanassis Tiropanis, project manager for the recently finished SemTech report and co-organiser of a workshop on Semantic Web applications for learning and teaching which takes place in Nice on 30 September."

"A place for anything related to K-12 and higher education applications of the semantic web."

"SemHE 2009: Semantic web applications for learning and teaching support in higher education"

Designing the Semantic Web for Higher Education Technological and Socio-economical Challenges 2002 What is the Semantic Web all about? How do Use Cases of the Semantic Web look like and how can we realize them? What is missing from the socio-economicalpoint of view?

What is LOCO-Analyst? LOCO-Analyst is an educational tool aimed at providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning environment, and thus helps them improve the content and the structure of their web-based courses. LOCO-Analyst aims at providing teachers with feedback regarding: *  all kinds of activities their students performed and/or took part in during the learning process, *  the usage and the comprehensibility of the learning content they had prepared and deployed in the LCMS, *  contextualized social interactions among students (i.e., social networking) in the virtual learning environment. This Web site provides some basic information about LOCO-Analyst, its functionalities and implementation. In addition, you can watch videos illustrating the tool's functionalities. You can also learn about the LOCO (Learning Object Context Ontologies) ontological framework that lies beneath the LOCO-Analyst tool and download the ontologies of this framework.

Welcome to the laboratory for Advanced Research in Intelligent Educational Systems (ARIES). The lab was founded in 1987 with the goal of deepening both research and practice in intelligent systems and how they apply to teaching and learning. Faculty, staff, and students within the laboratory contribute to numerous academic areas, such as user modeling, artificial intelligence, adaptive hypermedia, e-learning, and information visualization.

Research interests in applied technologies and learning/teaching systems. Provides a rich collection of publications and conference presentations.

Semantic Web applications offer great potential to student modellers who have traditionally struggled with issues of re-use, portability and tight coupling with learning applications. In this paper, we describe our use of ontology languages and elearning standards to develop a loosely coupled and portable student modelling architecture used in a large-scale, distributed production learning environment.

ARIES is working on the application details alluded to in my semantic web paper.