The Cognitive Theory of Multimedia Learning (CTML) suggests humans learn through visual and auditory sensory channels. Haptics represent a third channel within CTML and a missing component for experiential learning. The objective was to measure visual and haptic behaviors during spatial tasks. The haptic abilities test (HAT) quantifies results in…

In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…

We report on a conceptual replication of Révész (2012) in order to investigate the idea whether learners provided with recasts do engage in different kinds of behavioral engagement as a function of their working memory and if/how this engagement comes to bear on performance on different measures. Engagement with recasts was measured through a…

Recent context-control learning studies have shown that switch costs are reduced in a particular context predicting a high probability of switching as compared to another context predicting a low probability of switching. These context-specific switch probability effects suggest that control of task sets, through experience, can become associated…

Some listeners exhibit higher sensitivity to subphonemic acoustic differences (i.e., higher speech gradiency). Here, we asked whether higher gradiency in a listener's first language (L1) facilitates foreign language learning and explored the possible sources of individual differences in L1 gradiency. To address these questions, we tested 164…

Purpose: Of the three currently recognized variants of primary progressive aphasia, behavioral differentiation between the nonfluent/agrammatic (nfvPPA) and logopenic (lvPPA) variants is particularly difficult. The challenge includes uncertainty regarding diagnosis of apraxia of speech, which is subsumed within criteria for variant classification.…

This study investigated developmental differences in metacognitive monitoring and control in younger (5- to 6-year-old) and older (8- to 10-year-old) children's prospective memory (PM). Metacognitive monitoring was assessed by asking the children to judge their performance before (prediction) and after (postdiction) performing a resource-demanding…

Many studies have demonstrated that we can identify a familiar face on an image much better than an unfamiliar one, especially when various degradations or changes (e.g., image distortions or blurring, new illuminations) have been applied, but few have asked how different types of facial information from familiar faces are stored in memory. Here…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

Prospective memory (PM) refers to memory for future intentions (e.g. remembering to press a button when you see an animal word). Researchers classify PM intentions in the laboratory as focal or nonfocal primarily in two ways. One way, task-appropriateness, refers to how the processing for the intention relates to the processing required for an…

Purpose: The purpose of this study was to examine cognitive flexibility for semantic and perceptual information in preschool children who stutter (CWS) and who do not stutter (CWNS). Method: Participants were 44 CWS and 44 CWNS between the ages of 3;0 and 5;11 (years;months). Cognitive flexibility was measured using semantic and perceptual…

Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to…

Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to…

Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…

Memories for spatial locations often show systematic errors toward the central value of the surrounding region. The Category Adjustment (CA) model suggests that this bias is due to a Bayesian combination of categorical and metric information, which offers an optimal solution under conditions of uncertainty (Huttenlocher, Hedges, & Duncan,…