[Cancelled] Effects of generative strategies on learning, calibration accuracy, and cognitive load in a physics simulation

• In Event: D&D - Simulations in STEM

Short Description

This research study applied generative strategies, specifically paraphrasing and prediction with self-explanation, in a simulation environment to facilitate principle learning. In addition to learning, this study also examined the effects of the strategies on calibration accuracy, a measure of self-regulated learning, and cognitive load. Our findings revealed significantly higher performance and more accurate calibration in the generative strategy groups compared to the control group, as well as differences on dimensions of cognitive load.

Authors

• Jennifer Ritter Morrison, Johns Hopkins University

• Linda Bol, Old Dominion University

• Steven M. Ross, Johns Hopkins University

• Ginger Watson, Old Dominion University