作者: Richard Lamb , Andy Cavagnetto , Tariq Akmal
DOI: 10.1007/S10763-014-9593-2
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摘要: A critical problem with the examination of learning in education is that there an underlying assumption dynamic systems associated student information processing can be measured using static linear assessments. This approach does not provide sufficient ability to characterize learning. Much modern research within fields adjacent has embraced idea and cognitive states are dramatically nonlinear. The nonlinear aspects makes current educational methods ill equipped examine processing. because many quantitative qualitative tacitly assume “snap-shots” appropriate view during study examines role dynamics as a descriptor science classroom. purpose this establish explanatory mechanisms for understanding variable outputs seen science-based tasks. Initial parameterization subject response task sets presented serious game occurred DINA-N model. Drawing upon tools from other disciplines such computational modeling artificial neural networks, it possible researchers understand interplay multiple units known attributes. At point, limitation accuracy lack model’s represent fractal dimensionality, emergent properties cognition, interaction brain.