Towards Data Interoperability in Adaptive Environments PROCEEDINGS
Martin Balík, Ivan Jelínek, Czech Technical University, Faculty of Electrical Engineering, Department of Computer Science and Engineering, Czech Republic
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Las Vegas, Nevada, USA ISBN 978-1-880094-66-2 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
In the last decade the evolution of information technologies caused an increasing interest in adaptive environments, especially for educational purposes. There is a need for new methods for delivering information content to users. To increase efficiency, the information should be adapted dependent on the user preferences and needs. To enable interchange of the user preferences among systems and reusability of the information content, the data needs to be machine-understandable. We have proposed a model for adaptive system, which is based on ontologies and allows the storing of semantics within the data. The principle of information adaptation is one of main research perspectives for e-learning. Even though the e learning environment is sufficient for experiments, the model should be general and applicable as a universal adaptation framework.
Balík, M. & Jelínek, I. (2008). Towards Data Interoperability in Adaptive Environments. In C. Bonk, M. Lee & T. Reynolds (Eds.), Proceedings of E-Learn 2008--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2480-2485). Las Vegas, Nevada, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 23, 2018 from https://www.learntechlib.org/p/30019/.
© 2008 Association for the Advancement of Computing in Education (AACE)