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Carvalho, Paulo F.; Goldstone, Robert L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The sequence of study influences how we learn. Previous research has identified different sequences as potentially beneficial for learning in different contexts and with different materials. Here we investigate the mechanisms involved in inductive category learning that give rise to these sequencing effects. Across 3 experiments we show evidence…
Descriptors: Classification, Sequential Approach, Learning, Cognitive Processes
Schneider, Darryl W. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Transition effects in task-cuing experiments can be partitioned into task switching and cue repetition effects by using multiple cues per task. In the present study, the author shows that cue repetition effects can be partitioned into perceptual and conceptual priming effects. In 2 experiments, letters or numbers in their uppercase/lowercase or…
Descriptors: Cues, Priming, Comparative Analysis, Cognitive Processes
Grimaldi, Phillip J.; Poston, Laurel; Karpicke, Jeffrey D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Concept mapping has become a popular learning tool. However, the processes underlying the task are poorly understood. In the present study, we examined the effect of creating a concept map on the processing of item-specific information. In 2 experiments, subjects learned categorized or ad hoc word lists by making pleasantness ratings, sorting…
Descriptors: Concept Mapping, Cognitive Processes, Word Lists, Classification
Little, Daniel R.; Nosofsky, Robert M.; Donkin, Christopher; Denton, Stephen E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
A classic distinction in perceptual information processing is whether stimuli are composed of separable dimensions, which are highly analyzable, or integral dimensions, which are processed holistically. Previous tests of a set of logical-rule models of classification have shown that separable-dimension stimuli are processed serially if the…
Descriptors: Classification, Stimuli, Reaction Time, Models
Nosofsky, Robert M.; Little, Daniel R.; Donkin, Christopher; Fific, Mario – Psychological Review, 2011
Exemplar-similarity models such as the exemplar-based random walk (EBRW) model (Nosofsky & Palmeri, 1997b) were designed to provide a formal account of multidimensional classification choice probabilities and response times (RTs). At the same time, a recurring theme has been to use exemplar models to account for old-new item recognition and to…
Descriptors: Short Term Memory, Classification, Probability, Cognitive Development
Fific, Mario; Little, Daniel R.; Nosofsky, Robert M. – Psychological Review, 2010
We formalize and provide tests of a set of logical-rule models for predicting perceptual classification response times (RTs) and choice probabilities. The models are developed by synthesizing mental-architecture, random-walk, and decision-bound approaches. According to the models, people make independent decisions about the locations of stimuli…
Descriptors: Visual Stimuli, Models, Classification, Probability