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Janea J. Thibodeaux; Pierce M. Taylor; Janelle K. Bacotti; Samuel L. Morris – Journal of Applied Behavior Analysis, 2025
Many researchers have evaluated how characteristics of feedback may influence trainee performance, but relatively little attention has been allocated to directly assessing trainee preference for feedback characteristics and its relation to performance. Thus, the primary purpose of this study was to use a within-subject experimental design to…
Descriptors: Undergraduate Students, Feedback (Response), Difficulty Level, Learning Strategies
Piesie A. G. Asuako; Robert Stojan; Otmar Bock; Melanie Mack; Claudia Voelcker-Rehage – Cognitive Research: Principles and Implications, 2025
It is well established that performing multiple tasks simultaneously (dual-tasking) or sequentially (task-switching) degrades performance on one or both tasks. However, it is unknown whether task-switching adds to the effects of dual-tasking in a single setup. We investigated this in a simulated everyday-like car driving scenario. We expected an…
Descriptors: Task Analysis, Time Management, Motor Vehicles, Performance
Angelo G. Gaillet; Clara Suied; Gabriel Arnold; Marine Taffou – Cognitive Research: Principles and Implications, 2025
There is ample evidence from cognitive sciences and neurosciences studies that multisensory stimuli are detected better and faster than their unisensory counterparts. Yet, most of this work has been conducted in settings and with protocols within which participants had the sole detection task to perform. In realistic and complex environments, such…
Descriptors: Sensory Experience, Auditory Stimuli, Stimuli, Time Management
Ebru Balta; Celal Deha Dogan – SAGE Open, 2024
As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…
Descriptors: Cheating, Accuracy, Reaction Time, Computer Assisted Testing
Patrick V. Barnwell; Jake A. Rattigan; Kyle T. Brennan; Erick J. Fedorenko; Richard J. Contrada – Journal of American College Health, 2025
Objectives: To examine college students' conflicting COVID-19 information exposure, information-seeking, concern, and cognitive functioning. Participants: 179 undergraduates were recruited in March-April 2020, and 220 in September 2020 (Samples 1 and 2, respectively). Methods: Students completed the Attention Network Test, NASA Task Load Index,…
Descriptors: COVID-19, Pandemics, Undergraduate Students, Information Seeking
Kelsey J. MacKay; Filip Germeys; Wim Van Dooren; Lieven Verschaffel; Koen Luwel – Educational Studies in Mathematics, 2025
Rational numbers, such as fractions and decimals, are harder to understand than natural numbers. Moreover, individuals struggle with fractions more than with decimals. The present study sought to disentangle the extent to which two potential sources of difficulty affect secondary-school students' numerical magnitude understanding: number type…
Descriptors: Number Concepts, Numeracy, Secondary School Mathematics, Secondary School Students
Joseph A. Rios; Jiayi Deng – Educational and Psychological Measurement, 2025
To mitigate the potential damaging consequences of rapid guessing (RG), a form of noneffortful responding, researchers have proposed a number of scoring approaches. The present simulation study examines the robustness of the most popular of these approaches, the unidimensional effort-moderated (EM) scoring procedure, to multidimensional RG (i.e.,…
Descriptors: Scoring, Guessing (Tests), Reaction Time, Item Response Theory
Élisabeth Bélanger; Lorie-Marlène Brault Foisy; Steve Masson – International Journal of Research & Method in Education, 2025
The main objective of this methodological article is to discuss the contribution of response times as a tool in education research. The use of response times in research is largely a legacy of the work carried out in cognitive psychology, which has made it possible to describe the cognitive processes involved in information processing. In…
Descriptors: Educational Research, Reaction Time, Cognitive Processes, Research Methodology
Rawal, Amit; Tseng, Philip – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Visual statistical learning (VSL) occurs when participants are exposed to spatially or temporally ordered stimuli, and become increasingly sensitive to them without explicitly realizing the hidden regularities. In the temporal domain of VSL, participants are usually exposed to shape-triplets, followed by the use of familiarity judgments and…
Descriptors: Visual Learning, Incidental Learning, Difficulty Level, Reaction Time
Stefan Vermeent; Ethan S. Young; Meriah L. DeJoseph; Anna-Lena Schubert; Willem E. Frankenhuis – Developmental Science, 2024
Childhood adversity can lead to cognitive deficits or enhancements, depending on many factors. Though progress has been made, two challenges prevent us from integrating and better understanding these patterns. First, studies commonly use and interpret raw performance differences, such as response times, which conflate different stages of cognitive…
Descriptors: Early Experience, Trauma, Cognitive Processes, Children
Jianqiang Ye; Junhua Gao; Tingting Lin; Kun He; Dimei Chen – Journal of Baltic Science Education, 2025
This study explored the impact of oxidation-reduction reaction problem difficulty on university students' cognitive load using event-related potentials (ERPs). Forty-eight balanced low and high difficulty problems were designed. Fifteen undergraduate students majoring in chemistry (8 females and 7 males) participated in the study. Results…
Descriptors: Science Instruction, Undergraduate Students, Chemistry, Difficulty Level
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
Peper, Phil; Alakbarova, Durna; Ball, B. Hunter – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Prospective memory (PM) refers to the ability to remember to complete a task at the appropriate moment in the future. Past research has found reminders can improve PM performance in both laboratory and naturalistic settings, but few projects have examined the circumstances when and what types of reminders are most beneficial. Three experiments in…
Descriptors: Cognitive Processes, Difficulty Level, Memory, Cues
Parsing Information Flow in Speeded Cognitive Tasks: The Role of "g" in Perception and Decision Time
Willoughby, Emily A.; Lee, James J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Although the correlation between general cognitive ability ("g") and performance on speeded cognitive tasks is well-established, there is need for a better understanding of how successive stages of processing contribute to this relationship. Previous research suggests that "g" is primarily associated with the rapidity of…
Descriptors: Cognitive Ability, Reaction Time, Decision Making, Perception
Yi Ding; Qian Wang; Ru-De Liu; Jolene Trimm; Jiayi Wang; Shu Feng; Wei Hong; Xian-Tong Yang – SAGE Open, 2024
The paper examined the relations among problem solving, automaticity, and working memory load (WML) by changing the difficulty level of task characteristics through two applications. In Study 1, involving 68 engineering students, a 2 (automaticity) x 2 (WML) design was utilized for arithmetic problems. In Study 2, involving 76 engineering…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Problem Solving

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