Student model: Difference between revisions
(→References: -) |
mNo edit summary |
||
Line 3: | Line 3: | ||
A student model is a representation within the architecture of an [[Intelligent tutoring system | intelligent tutoring system (ITS)]] or [[intelligent learning environment | intelligent learning environment (ILE)]] of a student's understanding of material being taught. The student model is built through a students interaction within an ILE and is used by the ILE to adapt the student model accordingly and deliver appropriate instruction for the individual student, completing a {{quotation | student modelling loop}} (Brusilovsky, 1994). | A student model is a representation within the architecture of an [[Intelligent tutoring system | intelligent tutoring system (ITS)]] or [[intelligent learning environment | intelligent learning environment (ILE)]] of a student's understanding of material being taught. The student model is built through a students interaction within an ILE and is used by the ILE to adapt the student model accordingly and deliver appropriate instruction for the individual student, completing a {{quotation | student modelling loop}} (Brusilovsky, 1994). | ||
This model may also be used as a [[cognitive tool]] by being made explicit to learners. See [[Open learner model]]. | |||
==References== | ==References== |
Revision as of 12:40, 8 January 2007
Definition
A student model is a representation within the architecture of an intelligent tutoring system (ITS) or intelligent learning environment (ILE) of a student's understanding of material being taught. The student model is built through a students interaction within an ILE and is used by the ILE to adapt the student model accordingly and deliver appropriate instruction for the individual student, completing a “student modelling loop” (Brusilovsky, 1994).
This model may also be used as a cognitive tool by being made explicit to learners. See Open learner model.
References
Brusilovsky, P., (1994) 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, p. 31-36 [1]