Optimized scheduling
Revision as of 20:57, 2 December 2007 by PhilPavlik (talk | contribs)
Applying an instructional schedule that has been ordered to maximize robust learning. Mathematical models may often be used to produce optimized schedules by computing the knowledge component that will be most efficiently learned if practiced next.
Examples of optimized scheduling include learning event scheduling (see Pavlik's study), the knowledge tracing algorithm used in Cognitive Tutors (see Cen's study), and adaptive fading of scaffolding or assistance (see Renkl's study).
