Adaptivity with Multidimensional Learning Objects
Martin Memmel, DFKI GmbH, Germany
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Vancouver, Canada ISBN 978-1-880094-57-0 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
One of the most important goals and tasks of many E-learning systems is adaptivity, i.e., to automatically create individual learning environments taking into account a learner's special needs, interests, goals and preferences, be it in a corporate, government, healthcare, or higher education environment. An adaptive E-learning system must be able to capture information about the learner, to interpret this information and thus to determine which content will be presented. On the one hand, this requires a lot of skills from the field of user modeling. On the other hand, an appropriate learning objects repository is required. What kind of learning objects is required to enable a system's adaptivity? Which types of learning objects can be distinguished, and why? This will be discussed in this work, and a new architecture enabling different levels of adaptivity by the use of multidimensional, atomic learning objects is presented and discussed.
Memmel, M. (2005). Adaptivity with Multidimensional Learning Objects. In G. Richards (Ed.), Proceedings of E-Learn 2005--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2221-2236). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE).
© 2005 Association for the Advancement of Computing in Education (AACE)