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Harris, Anthony M.; Eayrs, Joshua O.; Lavie, Nilli – Cognitive Research: Principles and Implications, 2023
Highly-automated technologies are increasingly incorporated into existing systems, for instance in advanced car models. Although highly automated modes permit non-driving activities (e.g. internet browsing), drivers are expected to reassume control upon a 'take over' signal from the automation. To assess a person's readiness for takeover,…
Descriptors: Eye Movements, Attention, Cognitive Processes, Reaction Time
Response Time on Math Skills and Its Association with Math Skills Accuracy and Physics Course Grades
Harish Moni Prakash; Andrew F. Heckler – Physical Review Physics Education Research, 2025
Accuracy on assessments is commonly studied in education research but response time (RT) is relatively less investigated even though decades of research in cognitive sciences indicate that time can be an important dimension for understanding student learning. To better understand RT and the potentially important relations between accuracy and RT…
Descriptors: Reaction Time, Accuracy, Physics, Science Education
Hoch, Emely; Sidi, Yael; Ackerman, Rakefet; Hoogerheide, Vincent; Scheiter, Katharina – Educational Psychology Review, 2023
It is well established in educational research that metacognitive monitoring of performance assessed by self-reports, for instance, asking students to report their confidence in provided answers, is based on heuristic cues rather than on actual success in the task. Subjective self-reports are also used in educational research on cognitive load,…
Descriptors: Metacognition, Self Efficacy, Self Evaluation (Individuals), Student Behavior
Manginas, Giannis; Papageorgiou, Aikaterini; Theodorou, Michail; Iakovaki, Maria – Mathematics Teaching Research Journal, 2021
The purpose of this study is to examine the relationship between flow intelligence (Gf), age and cognitive abilities of processing speed (Comp) of attention (Incomp) and reaction inhibition (Flef) in relation to the level of Mathematical proficiency (MP) of preschool students. Sixty-four kindergarten students participated in the research. Based on…
Descriptors: Mathematics Skills, Competence, Relationship, Intelligence
Cheng, Dazhi; Shi, Kaihui; Wang, Naiyi; Miao, Xinyang; Zhou, Xinlin – Journal of Intelligence, 2022
Processing speed is divided into general (including perceptual speed and decision speed) and specific processing speed (including reading fluency and arithmetic fluency). Despite several study findings reporting the association between processing speed and children's mathematical achievement, it is still unclear whether general or specific…
Descriptors: Cognitive Processes, Reading Fluency, Arithmetic, Mathematics Skills
Leppink, Jimmie; Pérez-Fuster, Patricia – Educational Psychology Review, 2019
Self-rated mental effort has been and continues to be the most widely used measure of cognitive load. This single-item measure is often used as a predictor variable in linear models for predicting performance or some other response variable. While an advantage of linear models is that they are fairly easy to understand, they fall short when the…
Descriptors: Cognitive Processes, Difficulty Level, Predictor Variables, Time on Task
Faroqi-Shah, Yasmeen; Gehman, Megan – Journal of Speech, Language, and Hearing Research, 2021
Purpose: When speakers retrieve words, they do so extremely quickly and accurately--both speed and accuracy of word retrieval are compromised in persons with aphasia (PWA). This study examined the contribution of two domain-general mechanisms: processing speed and cognitive control on word retrieval in PWA. Method: Three groups of participants,…
Descriptors: Aphasia, Language Processing, Cognitive Processes, Age Differences
Juhasz, Barbara J.; Yap, Melvin J.; Raoul, Akila; Kaye, Micaela – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Word frequency is an important predictor of lexical-decision task performance. The current study further examined the role of this variable by exploring the influence of frequency trajectory. Frequency trajectory is measured by how often a word occurs in childhood relative to adulthood. Past research on the role of this variable in word…
Descriptors: Word Frequency, Predictor Variables, Grade 1, College Students
Moberly, Aaron C.; Reed, Jessa – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Speech recognition relies upon a listener's successful pairing of the acoustic--phonetic details from the bottom-up input with top-down linguistic processing of the incoming speech stream. When the speech is spectrally degraded, such as through a cochlear implant (CI), this role of top-down processing is poorly understood. This study…
Descriptors: Adults, Assistive Technology, Hearing Impairments, Acoustics
Gerst, Elyssa H.; Cirino, Paul T.; Macdonald, Kelly T.; Miciak, Jeremy; Yoshida, Hanako; Woods, Steven P.; Gibbs, M. Cullen – Journal of Cognition and Development, 2021
The present study had two aims. First, we set out to evaluate the structure of processing speed in children by comparing five alternative models: two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output response model, and a timing modality model). Second, we then used the…
Descriptors: Cognitive Processes, Reading Processes, Comparative Analysis, Predictor Variables
Huber-Huber, Christoph; Ansorge, Ulrich – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The present study disentangles 2 sources of the congruence sequence effect with masked primes: congruence and response time of the previous trial (reaction time [RT] carry-over). Using arrows as primes and targets and a metacontrast masking procedure we found congruence as well as congruence sequence effects. In addition, congruence sequence…
Descriptors: Reaction Time, Priming, Experiments, Cognitive Processes
Ricker, Ashley A.; Corley, Robin; DeFries, John C.; Wadsworth, Sally J.; Reynolds, Chandra A. – Developmental Psychology, 2018
The present study prospectively evaluated cumulative early life perceived stress in relation to differential change in memory and perceptual speed from middle childhood to early adulthood. We aimed to identify periods of cognitive development susceptible to the effects of perceived stress among both adopted and nonadopted individuals. The sample…
Descriptors: Stress Variables, Memory, Cognitive Processes, Age Differences
Meier, Matt E.; Kane, Michael J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Three experiments examined the relation between working memory capacity (WMC) and 2 different forms of cognitive conflict: stimulus-stimulus (S-S) and stimulus-response (S-R) interference. Our goal was to test whether WMC's relation to conflict-task performance is mediated by stimulus-identification processes (captured by S-S conflict),…
Descriptors: Experimental Psychology, Short Term Memory, Executive Function, Cognitive Processes
Protopapas, Athanassios; Kapnoula, Efthymia C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Effects of lexical and sublexical variables on visual word recognition are often treated as homogeneous across participants and stable over time. In this study, we examine the modulation of frequency, length, syllable and bigram frequency, orthographic neighborhood, and graphophonemic consistency effects by (a) individual differences, and (b) item…
Descriptors: Word Recognition, Foreign Countries, Greek, Syllables
McVay, Jennifer C.; Kane, Michael J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
A combined experimental, individual-differences, and thought-sampling study tested the predictions of executive attention (e.g., Engle & Kane, 2004) and coordinative binding (e.g., Oberauer, Suss, Wilhelm, & Sander, 2007) theories of working memory capacity (WMC). We assessed 288 subjects' WMC and their performance and mind-wandering rates…
Descriptors: Performance Factors, Reaction Time, Short Term Memory, Predictor Variables