Generation of Eexercise Objects for Personalised Technology-Enhanced Music Learning PROCEEDINGS
Kerstin Neubarth, City University, United Kingdom ; Atta Badii, University of Reading, United Kingdom ; Tillman Weyde, City University, United Kingdom
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Quebec City, Canada ISBN 978-1-880094-63-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
The generation and variation of exercise structures as well as exercise content using pedagogic concepts is as yet a relatively rarely targeted research topic; current research in personalisation of technology-based learning rather focuses on content selection and learning sequence adaptation based on user profiles. As part of the i-Maestro project we are developing a Music Exercise Generation Tool within an interactive multimedia environment for technology-enhanced music theory and practice training. The tool generates customised music exercises in a semi-automatic and context-sensitive manner by creating and modifying the exercise content and structure, based on a representation of knowledge about the domain and its pedagogy.
Neubarth, K., Badii, A. & Weyde, T. (2007). Generation of Eexercise Objects for Personalised Technology-Enhanced Music Learning. In T. Bastiaens & S. Carliner (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007 (pp. 6359-6368). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE).
© 2007 AACE