scholarly journals Working Memory: The What, the Why, and the How

2013 ◽  
Vol 30 (2) ◽  
pp. 105-118 ◽  
Author(s):  
Tracy Packiam Alloway ◽  
Evan Copello
Keyword(s):  
Working Memory ◽  
Learning Outcomes ◽  
Short Term Memory ◽  
Memory Training ◽  
Long Term Memory ◽  
Term Memory ◽  
Reading And Math ◽  
Mother's Educational Level ◽  
The Relationship

Working memory, our ability to work with information, plays an important role in learning from kindergarten to the college years. In this article, we review the what, the why, and the how of working memory. First, we explore the relationship between working memory, short-term memory, and long-term memory. We also investigate research on the link between whether environmental factors, such as financial background and mother's educational level, affect working memory. In the next section — the why of working memory — we compare the predictive nature of working memory and IQ in learning outcomes. While IQ typically measures the knowledge acquired by the student, working memory measures what they do with that knowledge. Working memory skills are linked to key learning outcomes, including reading and math. In the final section, we present classroom strategies to support working memory. We also review current research on the efficacy of working memory training.

scholarly journals Successful Learning: Relationship Between Fluid Intelligence and Working Memory

2020 ◽  
Vol 25 (1) ◽  
pp. 63-74
Author(s):  
I.E. Rzhanova ◽  
O.S. Alekseeva ◽  
Yu.A. Burdukova
Keyword(s):  
Working Memory ◽  
Executive Control ◽  
Fluid Intelligence ◽  
Short Term Memory ◽  
Memory Training ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
The Relationship

The article provides an overview of modern works devoted to the study of the relationship between fluid intelligence and working memory. Recently, the world of psychological science has been actively discussing the topic of fluid intelligence and its impact on the academic achievements in childhood. One of the main cognitive characteristics most clearly associated with fluid intelligence is working memory. Working memory is a complex integrative function, in the implementation of which short-term and long-term memory, as well as executive control of attention, are involved. Until now, the debatable question remains, which of the components of working memory is most closely related to fluid intelligence. A number of studies conclude that the role of short-term memory is predominant, while in others executive control is called the most important component. A special place in the study of the relationship between working memory and fluid intelligence is occupied by scientific works which raise the question of the possibilities of improvement of fluid intelligence using working memory training series. In a number of training experiments, it was possible to obtain an improvement in the participants' fluid intelligence indicators after a series of working memory trainings.

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

scholarly journals Word learning, phonological short-term memory, phonotactic probability and long-term memory: towards an integrated framework

2009 ◽  
Vol 364 (1536) ◽  
pp. 3755-3771 ◽  
Author(s):  
Prahlad Gupta ◽  
Jamie Tisdale
Keyword(s):  
Computational Model ◽  
Word Learning ◽  
Short Term Memory ◽  
Long Term Memory ◽  
Short Term ◽  
Phonotactic Probability ◽  
Term Memory ◽  
The Third ◽  
The Relationship

Word learning is studied in a multitude of ways, and it is often not clear what the relationship is between different phenomena. In this article, we begin by outlining a very simple functional framework that despite its simplicity can serve as a useful organizing scheme for thinking about various types of studies of word learning. We then review a number of themes that in recent years have emerged as important topics in the study of word learning, and relate them to the functional framework, noting nevertheless that these topics have tended to be somewhat separate areas of study. In the third part of the article, we describe a recent computational model and discuss how it offers a framework that can integrate and relate these various topics in word learning to each other. We conclude that issues that have typically been studied as separate topics can perhaps more fruitfully be thought of as closely integrated, with the present framework offering several suggestions about the nature of such integration.

Working Memory: Models and Applications

2020 ◽  
Author(s):  
Stoo Sepp ◽  
Steven J. Howard ◽  
Sharon Tindall-Ford ◽  
Shirley Agostinho ◽  
Fred Paas
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Short Term Memory ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Long Term Memory ◽  
Auditory Information ◽  
Short Term ◽  
Term Memory

In 1956, Miller first reported on a capacity limitation in the amount of information the human brain can process, which was thought to be seven plus or minus two items. The system of memory used to process information for immediate use was coined “working memory” by Miller, Galanter, and Pribram in 1960. In 1968, Atkinson and Shiffrin proposed their multistore model of memory, which theorized that the memory system was separated into short-term memory, long-term memory, and the sensory register, the latter of which temporarily holds and forwards information from sensory inputs to short term-memory for processing. Baddeley and Hitch built upon the concept of multiple stores, leading to the development of the multicomponent model of working memory in 1974, which described two stores devoted to the processing of visuospatial and auditory information, both coordinated by a central executive system. Later, Cowan’s theorizing focused on attentional factors in the effortful and effortless activation and maintenance of information in working memory. In 1988, Cowan published his model—the scope and control of attention model. In contrast, since the early 2000s Engle has investigated working memory capacity through the lens of his individual differences model, which does not seek to quantify capacity in the same way as Miller or Cowan. Instead, this model describes working memory capacity as the interplay between primary memory (working memory), the control of attention, and secondary memory (long-term memory). This affords the opportunity to focus on individual differences in working memory capacity and extend theorizing beyond storage to the manipulation of complex information. These models and advancements have made significant contributions to understandings of learning and cognition, informing educational research and practice in particular. Emerging areas of inquiry include investigating use of gestures to support working memory processing, leveraging working memory measures as a means to target instructional strategies for individual learners, and working memory training. Given that working memory is still debated, and not yet fully understood, researchers continue to investigate its nature, its role in learning and development, and its implications for educational curricula, pedagogy, and practice.

scholarly journals The relationship between accuracy of numerical magnitude comparisons and children’s arithmetic ability: A study in Iranian primary school children

2016 ◽  
Vol 12 (4) ◽  
pp. 567-583
Author(s):  
Hamdollah Manzari Tavakoli
Keyword(s):  
Working Memory ◽  
Problem Solving ◽  
Processing Speed ◽  
Primary School Children ◽  
Numerical Magnitude ◽  
Long Term Memory ◽  
Arithmetic Problem ◽  
Term Memory ◽  
The Relationship

The relationship between children’s accuracy during numerical magnitude comparisons and arithmetic ability has been investigated by many researchers. Contradictory results have been reported from these studies due to the use of many different tasks and indices to determine the accuracy of numerical magnitude comparisons. In the light of this inconsistency among measurement techniques, the present study aimed to investigate this relationship among Iranian second grade children (n = 113) using a pre-established test (known as the Numeracy Screener) to measure numerical magnitude comparison accuracy. The results revealed that both the symbolic and non-symbolic items of the Numeracy Screener significantly correlated with arithmetic ability. However, after controlling for the effect of working memory, processing speed, and long-term memory, only performance on symbolic items accounted for the unique variances in children’s arithmetic ability. Furthermore, while working memory uniquely contributed to arithmetic ability in one-and two-digit arithmetic problem solving, processing speed uniquely explained only the variance in single-digit arithmetic skills and long-term memory did not contribute to any significant additional variance for one-digit or two-digit arithmetic problem solving.

Working memory: Unemployed but still doing day labor

2003 ◽  
Vol 26 (6) ◽  
pp. 760-769
Author(s):  
Daniel S. Ruchkin ◽  
Jordan Grafman ◽  
Katherine Cameron ◽  
Rita S. Berndt
Keyword(s):  
Working Memory ◽  
Neural Circuits ◽  
Short Term Memory ◽  
Relevant Information ◽  
Long Term Memory ◽  
Memory Retention ◽  
Short Term ◽  
Term Memory ◽  
Target Article

The goal of our target article is to establish that electrophysiological data constrain models of short-term memory retention operations to schemes in which activated long-term memory is its representational basis. The temporary stores correspond to neural circuits involved in the perception and subsequent processing of the relevant information, and do not involve specialized neural circuits dedicated to the temporary holding of information outside of those embedded in long-term memory. The commentaries ranged from general agreement with the view that short-term memory stores correspond to activated long-term memory (e.g., Abry, Sato, Schwartz, Loevenbruck & Cathiard [Abry etal.], Cowan, Fuster, Grote, Hickok & Buchsbaum, Keenan, Hyönä & Kaakinen [Keenan et al.], Martin, Morra), to taking a definite exception to this view (e.g., Baddeley, Düzel, Logie & Della Sala, Kroger, Majerus, Van der Linden, Colette & Salmon [Majerus et al.], Vallar).

From working memory to long-term memory and back: Linked but distinct

2003 ◽  
Vol 26 (6) ◽  
pp. 737-738 ◽  
Author(s):  
Stephen Grossberg
Keyword(s):  
Working Memory ◽  
Short Term Memory ◽  
Long Term Memory ◽  
Neural Models ◽  
Short Term ◽  
Term Memory

Neural models have proposed how short-term memory (STM) storage in working memory and long-term memory (LTM) storage and recall are linked and interact, but are realized by different mechanisms that obey different laws. The authors' data can be understood in the light of these models, which suggest that the authors may have gone too far in obscuring the differences between these processes.

Working Memory Mediates the Relationship between Intellectual Enrichment and Long-Term Memory in Multiple Sclerosis: An Exploratory Analysis of Cognitive Reserve

2014 ◽  
Vol 20 (8) ◽  
pp. 868-872 ◽  
Author(s):  
Joshua Sandry ◽  
James F. Sumowski
Keyword(s):  
Multiple Sclerosis ◽  
Working Memory ◽  
Cognitive Reserve ◽  
Digit Span ◽  
Verbal Learning ◽  
Underlying Mechanism ◽  
Long Term Memory ◽  
Term Memory ◽  
The Relationship

AbstractSome individuals with multiple sclerosis (MS) show decrements in long-term memory (LTM) while other individuals do not. The theory of cognitive reserve suggests that individuals with greater pre-morbid intellectual enrichment are protected from disease-related cognitive decline. How intellectual enrichment affords this benefit remains poorly understood. The present study tested an exploratory meditational hypothesis whereby working memory (WM) capacity may mediate the relationship between intellectual enrichment and verbal LTM decline in MS. Intellectual enrichment, verbal LTM, and WM capacity were estimated with the Wechsler Test of Adult Reading and Peabody Picture Vocabulary Test, delayed recall of the Hopkins Verbal Learning Test-Revised and Logical Memory of the Wechsler Memory Scale, and Digit Span Total, respectively. Intellectual enrichment predicted LTM (B=.54;p=.003) and predicted WM capacity (B=.91;p<.001). WM capacity predicted LTM, (B=.44;p<.001) and fully mediated the relationship between intellectual enrichment (B=.24;p=.27) and LTM (B=.33,p=.03), Sobel test,Z=3.31,p<.001. These findings implicate WM capacity as an underlying mechanism of cognitive reserve and are an initial first step in understanding the relationship between intellectual enrichment, WM, and LTM in MS. (JINS, 2014,20, 1–5)

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