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Sylvia Truman (Alumni) Member status icon

E-Learning Designer
Sylvia Truman Photograph

My 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

Projects

G-LEARN

News

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. 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

 

Truman, S. and Mulholland, P. (2005) Bridging social learning and creativity: an integrative framework for collaborative-creative music composition within the classroom, Society for Education, Music and Psychology Research (SEMPRE) Conference: Musical Creativity in Culture and Mind, Faculty of Music, University of Cambridge

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Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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