Encyclopedia of the Sciences of Learning

2012 Edition
| Editors: Norbert M. Seel

Adaptive Learning Systems

Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-1428-6_534
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Synonyms

Adaptive learning environments

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...

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References

  1. Brusilovsky, P. (2001). Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11, 87–110.Google Scholar
  2. 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.Google Scholar
  3. 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.Google Scholar
  4. 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.Google Scholar
  5. Paramythis, A., & Loidl-Reisinger, S. (2004). Adaptive learning environments and e-learning standards. Electric Journal of e-Learning, 2(1), 181–194.Google Scholar
  6. 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.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of PsychologyUniversity of Education FreiburgFreiburgGermany