AI and learner modelling in Education

We use Artificial Intelligence (AI) techniques and tools to explore the learning and teaching process in situ and in real time. This research is theoretically grounded and the increased understanding that is gained through our systematic empirical evaluations informs further theory development. Active research areas include: collaboration, metacognition, motivation, data mining, scaffolding and intelligent support. Many of our projects use Learner modeling to facilitate adaptation of the interactions to an individual learner. This also provides mechanisms for the systematic collection of information about the learner that enhances our understanding and practice related to human cognition, communication and educational technology design and use.

LKL Maths-Art Seminars Print
Friday, 09 May 2008

 

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Event organisers
John Sharp
Phillip Kent

Keywords
mathematics, science, art, painting, music, sculpture, architecture, engineering, computing

The Maths-Art seminar series

This programme of monthly seminars was started in January 2007. The idea grew out of our work in hosting the annual international Bridges Conference in London in August 2006.

These seminars are aimed to be explorations of the connections between "mathematics" and "art", where both terms are understood very broadly: art implies visual art (painting, drawing, sculpture, computer graphics, video), architecture, music, textile art, literature/poetry (and others), and mathematics implies both mathematics as its own discipline and the related disciplines in science and engineering for which mathematics is an essential means of expression and communication. We set out to "cross boundaries" by bringing together diverse audiences and stimulating discussion between disciplines.

Find out more at the seminar webpage: www.lkl.ac.uk/events/maths-art



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