Creating executable computer models is a potentially powerful approach to science learning. Learning by modelling is also challenging because students can easily get overwhelmed by the inherent complexities of the task. This study investigated whether offering partially worked-out models can facilitate students' modelling practices and promote…

Discussion of computer simulations as a form of computer-assisted learning (CAL) focuses on a framework for domain representation for an Intelligent Simulation Learning Environment (ISLE). Topics discussed include knowledge related to computer simulations; formalization of domain knowledge; and the conceptual domain model. (19 references) (LRW)

Sixty-three college students worked with a computer simulation in which gradually increasing model complexity (model progression), model progression plus small assignments, or a control condition without either were used. Definition knowledge increased for all three conditions, but intuitive knowledge gain was greater for the two experimental…

Discusses a case study on discovery learning with a computer simulation environment in the physics domain of collisions. Finds that providing assignments with the simulation improves students' performance on one aspect of an intuitive-knowledge test. Contains 43 references. (Author/WRM)