Synonyms
Definition
Adaptive learning systems (often called adaptive learning environments) aim at supporting learners in acquiring knowledge and skills in a particular learning domain. The goal is to enhance the individual learning process with respect to speed, accuracy, quality and quantity of learning. A wide range of different adaptation techniques is used in current adaptive learning environments. The application of these techniques is based on information about a particular learner stored in an individual learner model.
Theoretical Background
Adaptive learning systems can be traced back to two different points of origin, the research in intelligent tutoring systems on the one side and the growing interest in web-based learning on the other side. Along with the progress in machine learning and artificial intelligence, intelligent tutoring systems have been developed. These systems are aimed at supporting the learner in his or her learning process...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brusilovsky, P. (2001). Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11, 87–110.
De Bra, P. M. E. (2008). Adaptive hypermedia. In H. H. Adelsberger, J. M. Pawlowski, P. Kinshuk, & D. Sampson (Eds.), Handbook of information technologies for education and training (2nd ed., pp. 29–46). Heidelberg: Springer.
De Bra, P. M. E., Pechenizkiy, M., van der Sluijs, K., & Smits, D. (2008). GRAPPLE: Integrating adaptive learning into learning management systems. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008 (pp. 5183–5188). Chesapeake, VA: AACE.
Koedinger, K. R., & Corbett, A. T. (2006). Cognitive tutors: Technology bringing learning sciences to the classroom. In R. K. Sawyer (Ed.), The cambridge handbook of the learning sciences (pp. 61–77). New York: Cambridge University Press.
Paramythis, A., & Loidl-Reisinger, S. (2004). Adaptive learning environments and e-learning standards. Electric Journal of e-Learning, 2(1), 181–194.
Weber, G., & Brusilovsky, P. (2001). ELM-ART: An adaptive versatile system for web-based instruction. International Journal of Artificial Intelligence in Education, 12(4), 351–384.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media, LLC
About this entry
Cite this entry
Weber, G. (2012). Adaptive Learning Systems. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_534
Download citation
DOI: https://doi.org/10.1007/978-1-4419-1428-6_534
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-1427-9
Online ISBN: 978-1-4419-1428-6
eBook Packages: Humanities, Social Sciences and Law