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

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

The paper describes some models for knowledge construction and analyzes them in terms of their suitability as instruments for the introduction of semantics on the web. The paper then provides evidence regarding some limits for the systematic use of semantic search engine and ontology domain systems in everyday teaching and knowledge construction.

JiME Site - many useful/interesting articles

Select ARIES Publications 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. The laboratory is headed by Dr. Gordon McCalla, and is funded in part by the the TeleLearning Network Centres of Excellence (1995-1999), and the LORNET NSERC Research Network (2003-Present). ARIES is one of the many laboratories within the Department of Computer Science at the University of Saskatchewan.

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?

Zepheira provides end to end solutions to integrate, navigate and manage information across personal, group and enterprise boundaries. From education to implementation we apply semantic technology to address data integration challenges, organize patterns and relationships inherent in your data, clear up complexity, and increase collaboration among your employees, partners and customers.

References to papers on the topic of the semantic web and education (Brazil).

As JISC has recently announced an open call of funding for a study on Semantic Web technologies in teaching and learning we thought we'd use this opportunity to provide a bit of an update on Semantic Web developments. The JISC call seeks to fund a study which looks at pragmatic aspects of the actual use of semantic applications in real world scenarios. The successful applicant will review a number of case studies of real-world teaching and learning scenarios and look at the potential for use of semantic technologies. The key question they are asking is: "Can you convince us that semantic technologies offer one potential solution to some real problems?"

"The mantra of the information age has been "The more information the better!" But what happens when we search the web and get so much information that we can't sort through it, let alone evaluate it? Enter the semantic web, or Web 3.0. Among other things, the semantic web makes information more meaningful to people by making it more understandable to machines."

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.

Traditionally, visitors to museums have been left having to choose between finding their way around exhibits on their own or taking a standardized group tour with a guide. In this paper, we describe a context-aware museum tour guide that adjusts its recommendations to the interests and contexts of individual visitors and enables them to selectively share their experience with others. The tour guide is built around an innovative semantic Web framework that minimizes the development and maintenance costs associated with the introduction of new exhibits, new visitor-oriented services and new sources of contextual information. In particular, it features a semantic Web rule reasoning engine that enables visitor-oriented services to identify relevant sources of contextual information and to enforce user-specified privacy preferences about what information they are willing to share with others (e.g. "only members of my group can see my current location", or "only my friends can see how I rate exhibits"). While still in prototype stage, the tour guide's target environment is the National Museum of Natural Science, one of Taiwan's largest museums with over 3 million visitors per year.

a few researchers but no solid examples I know a few people (especially some professors in the teaching-oriented universities) who are working on this technology. But as far as I know, they are individual experiments and no significant examples so far that are really exciting.

Andrew Lumpe & David Wicks, Seattle Pacific University Presentation at Sloan Conference, October 2009.