KMi Seminars
Getting campus-based eLearning into the blender
This event took place on Thursday 07 July 2005 at 10:20

 
Dr Charles Crook Learning Sciences Research Institute at Nottingham University

Some ICT learning research initiatives are described which are argued to reflect worrying forms of influence on undergraduate study practices. The paper argues for more imaginative innovation along the route of "blended learning". Several case studies that might illustrate this route are described for discussion.

Charles Crook is Reader in ICT and Education. He is closely attached to the Learning Sciences Research Institute at Nottingham and is a developmental psychologist by background. After research at Cambridge, Brown and Strathclyde Universities, he lectured in Psychology at Durham University and was Reader in Psychology at Loughborough University. Current projects concern the resourcing of collaborative learning with particular interest in early education but also undergraduates. Much of this work implicates new technology. He was a founder member of the European Society for Developmental Psychology and is currently editor of the Journal of Computer Assisted Learning.

His research interests are:
How can insights from the psychology of child development be applied to the design of learning technologies? How can these designs then be best integrated with existing cultures of teaching and learning? In particular, how can computers create distinctive opportunities for more collaborative forms of learning? How do highlly networked educational environments re-configure the experience of teaching and learning? How can technology bridge the discontinuities between formal and informal settings for learning?

This seminar is the first in a new series of IET CALRG Research Seminars

 
KMi Seminars
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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