This article presents a methodology for modelling the development of self-regulated learning skills in the context of computer-based learning environments using a combination of tracing techniques. The user-modelling techniques combine statistical and computational approaches to assess skill acquisition, practice, and refinement with the…

Considers well-structured problems versus ill-structured problems and presents models for how learners solve them, as well as models for designing instruction to support problem-solving skill development. Information processing theories of learning, an emerging theory of ill-structured problem solving, constructivist learning, and situated…

Cognitive load theory (CLT) has been successful in identifying instructional formats that are more effective and efficient than conventional problem solving in the initial, novice phase of skill acquisition. However, recent findings regarding the "expertise reversal effect" have begun to stimulate cognitive load theorists to broaden their horizon…

Presents a two-phase instructional design model that focuses on optimizing step size in whole-task approaches to learning complex, mainly non-recurrent, cognitive skills. Step size in a multiple-step whole-task approach-needed for the process worksheets-is determined on the basis of estimated part-task complexity. A developmental study of the…