Intelligent learning environment
Dillenbourg et al. () offer this definition
Other views (Brusilovsky, 2004, Kay, 1997) define ILEs as a combination of an ITS (that responds to individual students' actions and needs through the use of an student model) and a learning environment that allows for student-driven learning (e.g.: through the use of an open learner model where students' can view and customize their student model and learning process).
Wenger (1987) points out three types of knowledge important to intelligent tutoring, and by extension also crucial to an effective ILE:
- knowledge about domain
- knowledge about tutoring
- knowledge about the student and student model
- Brusilovsky, P. (2004). Student model centered architecture for intelligent learning environments. In Proc. of Fourth international conference on User Modeling, 15-19 August, Hyannis, MA, USA. User Modeling Inc, 1994. 31-36
- Dillenbourg. P., Hilario, M., Mendelsohn, B. Schneider, D., Borcic, B. Report from the project "Les systèmes explorateurs intelligents". Intelligent Learning Environments . FP23 Program; Project No. 4023-2701 
- Kay, J. (1997). Learner Know Thyself: Student Models to Give Learner Control and Responsibility, in Z. Halim, T. Ottomann & Z. Razak (eds), Proceedings of International Conference on Computers in Education, Association for the Advancement of Computing in Education (AACE), 17-24.
- Wenger, E. (1987). Artificial intelligence and tutoring systems. Computational approaches to the communication of knowledge. Los Altos: Morgan Kaufmann.