This book highlights new scientific research about how people learn, including interdisciplinary perspectives from neuroscience, the social, cognitive and behavioural sciences, education, computer and information sciences, artificial intelligence/machine learning, and engineering. These new developments offer fascinating new perspectives, based on…

This article provides a review of theoretical approaches to model-based learning and related research. In accordance with the definition of model-based learning as an acquisition and utilization of mental models by learners, the first section centers on mental model theory. In accordance with epistemology of modeling the issues of semantics,…

[This paper is part of the Focused Collection on Curriculum Development: Theory into Design.] Research in physics education has contributed substantively to improvements in the learning and teaching of university physics by informing the development of research-based instructional materials for physics courses. Reports on the design of these…

How does the mind work--and especially how does it learn? Teachers' instructional decisions are based on a mix of theories learned in teacher education, trial and error, craft knowledge, and gut instinct. Such knowledge often serves us well, but is there anything sturdier to rely on? Cognitive science is an interdisciplinary field of researchers…

Those advocating the existence of a distinct language instinct generally claim that human language is not reliant on general human cognition. However, limitations on recursive patterns in human language are universally attested, from the micro-level elements of phonology, throughout the mid-level elements of morphology and syntax, and up to the…

As one of the three Rs, "'rithmetic" has always been central to education and education research. By virtue of that centrality, research in mathematics education has often reflected and at times led trends in education research. This chapter provides some deep background on epistemological and other issues that shape current research,…

Cognitive control has long been one of the most active areas of computational modeling work in cognitive science. The focus on computational models as a medium for specifying and developing theory predates the PDP books, and cognitive control was not one of the areas on which they focused. However, the framework they provided has injected work on…

This paper introduces a special issue of "Cognitive Science" initiated on the 25th anniversary of the publication of "Parallel Distributed Processing" (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP…

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to…

Deans for Impact, a nonprofit organization composed of leaders of educator-preparation programs throughout the U.S., believes cognitive science is an important part of an evidence-based core of knowledge that preservice teachers should possess. Member deans believe that cognitive science holds promise for improving learning and promoting the…

Direct caregivers in nursing homes are the certified nursing assistants (CNAs) who provide the majority of hands-on care. This study administered a knowledge instrument to a sample of CNAs () employed at nursing homes in a northeastern city to evaluate their knowledge in the domains of aging, cognition, and mental health. This study found that…

Despite an increasing focus on the quality of teaching in postsecondary institutions, little research exists that examines how faculty actually plan their courses in real-world settings. In this study the idea of the "problem space" from cognitive science is used to examine how faculty construct mental representations for the task of…

The most effective educational interventions often face significant barriers to widespread implementation because they are highly specific, resource intense, and/or comprehensive. We argue for an alternative approach to improving education: leveraging technology and cognitive science to develop interventions that generalize, scale, and can be…

Riley asserts that some findings of cognitive science conflict with key principles of personalized learning--that students should control the content of their learning and that they should control the pace of their learning. A personalized approach is in conflict with the cognitive science principle that committing key facts in a discipline to…

Over the past 20 years learning trajectories and learning progressions have gained prominence in mathematics and science education research. However, use of these representations ranges widely in breadth and depth, often depending on from what discipline they emerge and the type of learning they intend to characterize. Learning trajectories…