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Sikorski, Tiffany-Rose – Science & Education, 2019
In the spirit of model revision, researchers continue to refine the notion of a learning progression. Despite many advances in learning progressions research, one key design element has eluded scholarly critique, the upper anchor. Drawing on science education research and studies of science, this essay argues for a shift from the predominant model…
Descriptors: Sequential Learning, Learning Processes, Science Education, Models
Zaki, Safa R.; Salmi, Isabella L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
In the current research, we tested the idea that the proximity of contrasting categories in a learning sequence would determine the features to which participants attend in a categorization task. For the first experiment, we designed a 4-category structure in which pairs of categories could be perfectly distinguished using 1 feature. Two of the…
Descriptors: Eye Movements, Learning Processes, Classification, Sequential Learning
Jimenez, Luis; Vaquero, Joaquin M. M.; Lupianez, Juan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2006
Four experiments investigate the differences between implicit and explicit sequence learning concerning their resilience to structural and superficial task changes. A superficial change that embedded the SRT task in the context of a selection task, while maintaining the sequence, did selectively hinder the expression of implicit learning. In…
Descriptors: Sequential Learning, Learning Processes, Context Effect, Metacognition
Baeyens, Frank; Vansteenwegen, Debora; Beckers, Tom; Hermans, Dirk; Kerkhof, Ineke; De Ceulaer, Annick – Learning & Memory, 2005
Using a conditioned suppression task, we investigated extinction and renewal of Pavlovian modulation in human sequential Feature Positive (FP) discrimination learning. In Experiment 1, in context a participants were first trained on two FP discriminations, X[right arrow]A+/A- and Y[right arrow]B+/B-. Extinction treatment was administered in the…
Descriptors: Discrimination Learning, Classical Conditioning, Contingency Management, Sequential Learning