Supporting adaptive learning in hypertext environments: a high level timed Petri net‐based approach
Source: International Journal of Intelligent Systems Technologies and Applications, Volume 4, Numbers 3-4, 22 February 2008 , pp. 341-354(14)
Publisher: Inderscience Publishers
Abstract:A problem for hypertext‐based learning application is to control learning paths for different learning activities. This paper first introduces related concepts of hypertext learning state space and high level Petri Nets (PNs), then proposes a high level timed PN based approach used to providing kinds of adaptation for learning activities by adjusting time attributes of targeted learning state space. Examples are given while explaining ways to realising adaptive instructions. Possible future directions are also discussed at the end of this paper.
Keywords: COMPUTING JOURNALS; Computing Science, Applications and Software; Electronic Systems, Control and Artificial Intelligence; Materials and Manufacturing; Systems Engineering; TECHNICAL JOURNALS
Document Type: Research Article
Affiliations: 1: School of Engineering and Information Technology, Deakin University, Geelong, Victoria 3217, Australia. 2: School of Computing Sciences, University of Technology, Sydney, P.O. Box 123 Broadway, NSW 2007, Australia
Publication date: February 22, 2008
- Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. International Journal of Intelligent Systems Technologies and Applications, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc.
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