Learning Science by Constructing Models: Can Dragoon Increase Learning without Increasing the Time Required?

作者: Kurt VanLehn , Greg Chung , Sachin Grover , Ayesha Madni , Jon Wetzel

DOI: 10.1007/S40593-015-0093-5

关键词:

摘要: A common hypothesis is that students will more deeply understand dynamic systems and other complex phenomena if they construct computational models of them. Attempts to demonstrate the advantages model construction have been stymied by long time required for acquire skill in construction. In order make a feasible vehicle science instruction, Dragoon system combined three simplifications: (1) simple notation systems, (2) step-based tutoring system, (3) problems described be constructed as well represented model. test whether these simplifications reduced learning how while preserving benefits over baseline classroom studies were conducted. All experiments, compared classes using same material without Dragoon. However, studies, could not tightly control all sources variation. The first study produced null results, but it across just one class period. second 4 high school showed instruction based on cost only extra period (about 50 min) out periods was effective than content taught third 3 classes, where 2 1 non-Dragoon met number periods, effect sizes moderately large both an open response (d = 1.00) concept mapping task (d = 0.49). Thus, appears our efforts simplified point can used with no additional needed, yet still seems done

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