People | Alumni | Sylvia Truman
E-Learning DesignerMy background is in Information Systems, in particular, the development of e-learning systems. My PhD concerned the presentation a generative framework for creative learning to be used as a design support tool for e-learning.This was demonstrated through a music composition program called SoundScape.
I worked as an E-Learning Designer on the G-LEARN project which is an e-learning program designed to assist students with decision making in approaching city planning.
Keys: E-Learning, Creativity, Constructivist Theory, Collaborative Learning, Human Computer Interaction
5 Most Recent External Publications
Zdrahal, Z., Mulholland, P., Truman, S. and Smid, M. (2009) G-LEARN: Using constraint modelling to teach geographical principles, Interactive Computer Aided Learning, ICL 2009, Villach, Austria
Smid, M., Truman, S., Mulholland, P., Zdrahal, Z., Crouch, S. and , . (2009) G-LEARN: An exploratory learning environment for school geography level, Znalosti 2009, Slovenska Technicka, Univerzita V Bralislave, Prague., pp. 213 - 224
Smid, M., Truman, S., Mulholland, P., Zdrahal, Z. and Crouch, S. (2009) G-LEARN: An exploratory learning environment for school geography level, Znalosti 2009, Brno, Czech Republic, pp. 213-224, Vydavatel'stvo STU, Bratislava, ISBN 978-80-227-3015-0
Truman, S. and Mulholland, P. (2006) Designing educational software to enhance the creative learning experience: An integrative framework, the BCS HCI Group Conference HCI 2006 Engage, Queen Mary, University of London., 2
Truman, S. and Mulholland, P. (2005) A computer assisted approach towards music composition in the classroom: facilitating creativity in mainstream education, The Leeds International Music Technology in Education Conference, Leeds College of Music
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
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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