Abstract

Delivering the most appropriate learning object for a learner's goals, needs and preferences presents an interesting research challenge. [Dagger et al., 03] presents a solution based on the production of and selection between multiple candidate pieces of content. This solution is predicated on appropriate metadata being available that adequately describes those candidates (and more importantly the differences between them). The ability to dynamically create new Learning Objects at runtime to fulfill the learner's needs and based on their preferences is one of the goals of the iClass project [iClass]. This paper describes the LO Generator and its function within the iClass suite of eLearning services. Specifically, it describes the different modes of operation of the LO Generator and how it utilizes different pieces of learning content to deliver the most appropriate Learning Object to the learner.

Citation

Brady, A., Conlan, O. & Wade, V. (2005). Towards the Dynamic Personalized Selection and Creation of Learning Objects. In G. Richards (Ed.), Proceedings of E-Learn 2005--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1903-1909). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 6, 2024 from https://www.learntechlib.org/primary/p/21475/.

© 2005 Association for the Advancement of Computing in Education (AACE)