Open Universiteit
   About DSpace Software Open Universiteit border=

DSpace at Open Universiteit >
a. Learning Networks & Learning Design >
1. LN: Publications and Preprints >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/303

Title: Designing a learning design engine as a collection of finite state machines
Authors: Vogten, Hubert
Tattersall, Colin
Koper, Rob
Van Rosmalen, Peter
Brouns, Francis
Van Bruggen, Jan
Sloep, Peter
Martens, Harrie
Keywords: Learning Design
Web-based educational system
e-learning
Finite state machine
Personalization
Design
Issue Date: 2005
Series/Report no.: International Journal on E-Learning;
Abstract: Specifications and standards for e-learning are becoming increasingly sophisticated and complex as they deal with the core of the learning process. Simple transformations are not adequate anymore to successfully implement these latest specifications and standards for e-learning. IMS Learning Design (LD) (IMS, 2003b) is a representative of such a new specification in the field of e-learning. Its declarative nature, expressiveness and scope increase the complexity for any implementation. This probably is the largest hurdle that stands in the way of successful general deployment of this type of specifications. This article describes how an engine for interpreting LD can be designed as a collection of finite state machines (FSMs). A finite state machine is a computational model where a system is described through a finite number of states and their transition functions that map the change from one state to another. In the case of LD each state can be seen as constructed from a set of properties which can either be declared explicitly in LD or implicitly by the engine. State transitions are implemented through a mechanism of events and event handlers, completing the finite state machine. By re-using certain type of properties across FSMs it is possible to create an automatic propagation mechanism taking care of group dynamics without the need for any additional efforts. With the FSMs in place, personalization, one of the key features of LD, becomes a simple task. By combining the principles presented in the article, it becomes clear that an elegant design becomes feasible. This is demonstrated in the first actual implementation called CopperCore (Martens, Vogten, Rosmalen, & Koper, 2004).
Description: Please cite as: Vogten, H., Tattersall, C., Koper, R., van Rosmalen, P., Brouns, F., Sloep, P., van Bruggen, J. & Martens, H. (2006). Designing a Learning Design Engine as a Collection of Finite State Machines. International Journal on E-Learning. 5 (4), pp. 641-661
URI: http://hdl.handle.net/1820/303
Appears in Collections:1. LN: Publications and Preprints
Keur der Wetenschap

Files in This Item:

File Description SizeFormat
article_ijel_revised.pdf74.32 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Copyright © 2003 - 2010 Open Universiteit - Feedback