Resumen de The design of an analogical encoding tool for game-based virtual learning environments
Douglas Williams, Yuxin Ma, Steven Feist, Charles Richard, Louise Prejean
Game-based virtual learning environments have the potential to provide opportunities for engagement in authentic contexts while completing authentic tasks such as problem solving. However, research in problem-based learning indicates that scaffolding should be provided for learners to benefit from such learning environments. This paper describes the design of an anagogical encoding tool, a computer-based scaffold, in a game-based virtual learning environment. Research on analogical encoding suggests that teaching students to compare cases side-by-side to draw out the underlying principles improves knowledge acquisition and transfer. Analogical encoding aids students in attending to the deep underlying structures (ie, principles) of cases, thereby reducing the potential distraction of surface features. This paper intends to translate laboratory research findings on analogical encoding to a scaffolding tool in a game-based virtual learning environment.
