KMi Seminars
'Designing learnable mathematics: lessons from the WEBLABS project'
This event took place on Tuesday 14 February 2006 at 11:00

 
Prof. Richard Noss Institute of Education, University of London

In this seminar, I will discuss the design and implementation of computer-based systems aimed at transforming mathematical learning.

Drawing on findings of the recently-completed EU project, WebLabs, I will discuss how such systems can extend what it is possible for students to express, how they might reshape the kinds of mathematical knowledge students hold, and transform the possibilities for who could (and should) know what - and when.

Richard Noss is Professor of Mathematics Education at the Institute of Education. His overarching research interest is in trying to understand what kinds of knowledge people really need in the 'knowledge economies' of the twenty-first century, and in building tools that help them acquire that knowledge. Over the last ten years he has worked with bank employees, nurses, airline pilots and engineers, among others, trying to describe their professional and mathematical knowledge. He has also engaged them in 'playful' learning experiences, including (most ambitiously) teaching the programming language Logo (often mistakenly described as a 'language for kids') to a group of investment bank employees. At the other end of the age scale, the recently-completed Playground project has involved very young kids in designing and building video-games.

Richard is co-director of the London Knowledge Lab, and was until recently editor-in-chief of the International Journal of Computers for Mathematical Learning, which aims to realise the vision of its chair, Seymour Papert, to 'foster a new, creative and more learnable mathematics with digital technologies'.)

 
KMi Seminars
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.