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Dive into the research topics where J. Elizabeth Richey is active.

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Featured researches published by J. Elizabeth Richey.


PLOS ONE | 2014

Is the Link from Working Memory to Analogy Causal? No Analogy Improvements following Working Memory Training Gains

J. Elizabeth Richey; Jeffrey S. Phillips; Christian D. Schunn; Walter Schneider

Analogical reasoning has been hypothesized to critically depend upon working memory through correlational data [1], but less work has tested this relationship through experimental manipulation [2]. An opportunity for examining the connection between working memory and analogical reasoning has emerged from the growing, although somewhat controversial, body of literature suggests complex working memory training can sometimes lead to working memory improvements that transfer to novel working memory tasks. This study investigated whether working memory improvements, if replicated, would increase analogical reasoning ability. We assessed participants’ performance on verbal and visual analogy tasks after a complex working memory training program incorporating verbal and spatial tasks [3], [4]. Participants’ improvements on the working memory training tasks transferred to other short-term and working memory tasks, supporting the possibility of broad effects of working memory training. However, we found no effects on analogical reasoning. We propose several possible explanations for the lack of an impact of working memory improvements on analogical reasoning.


Memory & Cognition | 2018

Collaboration facilitates abstract category learning

J. Elizabeth Richey; Timothy J. Nokes-Malach; Kara Cohen

We examined the effects of collaboration (dyads vs. individuals) and category structure (coherent vs. incoherent) on learning and transfer. Working in dyads or individually, participants classified examples from either an abstract coherent category, the features of which are not fixed but relate in a meaningful way, or an incoherent category, the features of which do not relate meaningfully. All participants were then tested individually. We hypothesized that dyads would benefit more from classifying the coherent category structure because past work has shown that collaboration is more beneficial for tasks that build on shared prior knowledge and provide opportunities for explanation and abstraction. Results showed that dyads improved more than individuals during the classification task regardless of category coherence, but learning in a dyad improved inference-test performance only for participants who learned coherent categories. Although participants in the coherent categories performed better on a transfer test, there was no effect of collaboration.


Learning and Instruction | 2013

How Much Is Too Much? Learning and Motivation Effects of Adding Instructional Explanations to Worked Examples.

J. Elizabeth Richey; Timothy J. Nokes-Malach


Journal of Educational Psychology | 2015

Direct Instruction of Metacognition Benefits Adolescent Science Learning, Transfer, and Motivation: An In Vivo Study.

Cristina D. Zepeda; J. Elizabeth Richey; Paul Ronevich; Timothy J. Nokes-Malach


Educational Psychology Review | 2015

When Is It Better to Learn Together? Insights from Research on Collaborative Learning

Timothy J. Nokes-Malach; J. Elizabeth Richey


Educational Psychology Review | 2015

Comparing Four Instructional Techniques for Promoting Robust Knowledge

J. Elizabeth Richey; Timothy J. Nokes-Malach


Cognitive Science | 2014

Achievement goals, observed behaviors, and performance: Testing a mediation model in a college classroom

J. Elizabeth Richey; Timothy J. Nokes-Malach; Aleza Wallace


Cognitive Science | 2015

Transfer effects of prompted and self-reported analogical comparison and self-explanation.

J. Elizabeth Richey; Cristina D. Zepeda; Timothy J. Nokes-Malach


Journal of Experimental Education | 2017

Comparing Class- and Task-Level Measures of Achievement Goals

J. Elizabeth Richey; Matthew L. Bernacki; Daniel M. Belenky; Timothy J. Nokes-Malach


Cognitive Science | 2014

Change in Achievement Goals and Their Relation to Exam Grades

Aleza Wallace; J. Elizabeth Richey; Timothy J. Nokes-Malach

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Daniel M. Belenky

Carnegie Mellon University

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Kara Cohen

University of Pittsburgh

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