Structural priming is the tendency to repeat syntactic structure across sentences and can be divided into short-term (prime to immediately following target) and long-term (across an experimental session) components. This study investigates how nondeclarative memory could support both the transient, short-term and the persistent, long-term…

The article is devoted to studying the principles of the language economy of modern English word-forming. The most productive ways of word-formation are highlighted, illustrating the tendency of the language to compress nominative units. In the system of English word-formation, the most effective ways to save speech are affixal word formation,…

We describe a professional development program to help students retrieve content they learned in class, retain it, and apply it in different contexts to solve novel problems using cognitive learning strategies. These strategies range from simple electronic flashcards for basic memory retrieval strategies to low-stakes quizzes for spaced-out and…

Working memory is an essential mechanism in the cognitive learning process. However, its definitions and mechanisms remain a topic of debate. Miller-Cotto and Byrnes ("Journal of Educational Psychology," "112"(5), 1074-1084, 2020) reported a comparison of three models of working memory to determine which best accounted for data…

In prospective memory (PM) research, costs (slowed responding to the ongoing task when a PM task is present relative to when it is not) have typically been interpreted as implicating an attentionally demanding monitoring process. To inform this interpretation, Heathcote, Loft, and Remington (2015), using an accumulator model, found that PM-related…

Executive function (EF) skills are a set of attention-regulation skills involved in intentional, goal-directed behavior that include (but are not limited to) the cool EF skills of working memory, cognitive flexibility, and inhibitory control, and also the hot EF skill of intentional reevaluation. These skills are inevitably expressed in goal- and…

This study is a qualitative analysis of the work of preservice special education teachers on an activity during which they had to design a game that represented the concept of working memory. The study draws from the framework of model-eliciting activities that require students to develop structural representations of concepts that can be used to…

Purpose: The purpose of this clinical focus article is to present 5 guiding principles for the development of interventions for children with limited verbal working memory abilities. Method: Summarizing and synthesizing previously reported theories and empirical data, we present a framework intended to guide working memory interventions. Results:…

High phonological neighborhood density has been associated with both advantages and disadvantages in early word learning. High density may support the formation and fine-tuning of new word sound memories--a process termed lexical configuration (e.g., Storkel, 2004). However, new high-density words are also more likely to be misunderstood as…

Working Memory (WM) is an essential concept of cognitive science since many aspects of human learning depend on it. Primarily proposed by Baddeley and Hitch (1974) and developed by Baddeley (1986), the concept of WM comprises the number of subsystems involved during the process and the considerable emphasis on its key role in cognitive tasks such…

Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…

Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…

New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…

We conducted a broad-coverage investigation of the effects of syntactic distance and word order on language processing against a dependency-annotated reading time corpus of English. A combined method of quantitative syntax and psycholinguistic analyses was adopted to yield converging evidence. It was found that (i) head-initial structures allow…

Purpose: This study aims to develop a process model that details the mechanisms and learning processes by which entrepreneurial learning transpires at multiple levels in the organization. Using the transactive memory system (TMS) framework as a reference, the model specifies how individual streams of knowledge are routinized in nonhuman elements…