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Bronson Hui; Zhiyi Wu – Studies in Second Language Acquisition, 2024
A slowdown or a speedup in response times across experimental conditions can be taken as evidence of online deployment of knowledge. However, response-time difference measures are rarely evaluated on their reliability, and there is no standard practice to estimate it. In this article, we used three open data sets to explore an approach to…
Descriptors: Reliability, Reaction Time, Psychometrics, Criticism
Kara N. Moore; Blake L. Nesmith; Dara U. Zwemer; Chenxin Yu – Cognitive Research: Principles and Implications, 2024
People perform poorly at sighting missing and wanted persons in simulated searches due to attention and face recognition failures. We manipulated participants' expectations of encountering a target person and the within-person variability of the targets' photographs studied in a laboratory-based and a field-based prospective person memory task. We…
Descriptors: Human Body, Recognition (Psychology), Simulation, Attention Control
Palma, Pauline; Lee, Sarah; Hodgins, Vegas; Titone, Debra – Cognitive Science, 2023
Studies of language evolution in the lab have used the iterated learning paradigm to show how linguistic structure emerges through cultural transmission--repeated cycles of learning and use across generations of speakers . However, agent-based simulations suggest that prior biases crucially impact the outcome of cultural transmission. Here, we…
Descriptors: Bilingualism, Language Acquisition, Language Research, Adults
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Liu, Jin – Journal of Educational and Behavioral Statistics, 2022
Longitudinal data analysis has been widely employed to examine between-individual differences in within-individual changes. One challenge of such analyses is that the rate-of-change is only available indirectly when change patterns are nonlinear with respect to time. Latent change score models (LCSMs), which can be employed to investigate the…
Descriptors: Longitudinal Studies, Individual Differences, Scores, Models
Hinnant, Ben; Schulenberg, John; Jager, Justin – International Journal of Behavioral Development, 2021
Multifinality, equifinality, and fanning are important developmental concepts that emphasize understanding interindividual variability in trajectories over time. However, each concept implies that there are points in a developmental window where interindividual variability is more limited. We illustrate the multifinality concept under…
Descriptors: Individual Differences, Simulation, Effect Size, Prediction
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Schuetze, Brendan A.; Yan, Veronica X. – Cognitive Science, 2022
Learners are often constrained by their available study time, typically having to make a trade-off between depth and breadth of learning. Classic experimental paradigms in memory research treat all items as equally important, but this is unlikely the case in reality. Rather, information varies in importance, and people vary in their ability to…
Descriptors: Learning Processes, Study Habits, Time Factors (Learning), Time Management
Conway, Andrew R. A.; Kovacs, Kristof; Hao, Han; Rosales, Kevin P.; Snijder, Jean-Paul – Journal of Intelligence, 2021
Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence ("g"). According to POT, g does not reflect a general cognitive ability. Instead, "g" is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are…
Descriptors: Individual Differences, Attention, Intelligence, Executive Function
Marois, Alexandre; Hodgetts, Helen M.; Chamberland, Cindy; Williot, Alexandre; Tremblay, Sébastien – Applied Cognitive Psychology, 2021
Closed-circuit television (CCTV) surveillance units largely rely on the support of surveillance operators. Although this job is cognitively challenging, few studies have investigated the main human factors improving the ability to detect critical incidents in this context. This study aimed to explore the contribution of individual characteristics…
Descriptors: Individual Differences, Television, Age Differences, Short Term Memory
Hedge, Craig; Powell, Georgina; Bompas, Aline; Sumner, Petroc – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Response control or inhibition is one of the cornerstones of modern cognitive psychology, featuring prominently in theories of executive functioning and impulsive behavior. However, repeated failures to observe correlations between commonly applied tasks have led some theorists to question whether common response conflict processes even exist. A…
Descriptors: Individual Differences, Cognitive Ability, Cognitive Processes, Meta Analysis
Mavin, Timothy John; Kikkawa, Yoriko; Billett, Stephen – International Journal of Training Research, 2018
Debriefing is routinely used in pilot training. Limited empirical studies, however, have investigated what aspects of debriefing contribute to learning outcomes across professions. In this investigation, we focus on the learning of pilots flying large commercial aircraft in a multi-crew flight deck. The researchers observed, recorded and analysed…
Descriptors: Aviation Education, Air Transportation, Flight Training, Simulation
Braithwaite, David W.; Leib, Elena R.; Siegler, Robert S.; McMullen, Jake – Grantee Submission, 2019
Understanding fractions is critical to mathematical development, yet many children struggle with fractions even after years of instruction. Fraction arithmetic is particularly challenging. The present study employed a computational model of fraction arithmetic learning, FARRA (Fraction Arithmetic Reflects Rules and Associations; Braithwaite, Pyke,…
Descriptors: Individual Differences, Fractions, Arithmetic, Mathematics Instruction
Peskar, Lisa; Bachelor, Jeremy W. – Online Submission, 2022
Individual differences (IDs) play an important role in the second language learning process and explain the varied experiences of the L2 learner. The two major IDs, language aptitude and motivation, can be primary factors in one's ultimate proficiency. While language aptitude is largely fixed, motivation is malleable and can aid in overcoming…
Descriptors: FLES, Likert Scales, Learning Motivation, Second Language Learning
Muraki, Emiko J.; Pexman, Penny M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
In embodied theories of semantic representation, the processes and mechanisms of modal simulations that are engaged during semantic processing have tended to be underspecified. We investigated the possibility that motor imagery may be a mechanism of simulation, using an individual differences approach. In this preregistered study, we assessed…
Descriptors: Semantics, Language Processing, Individual Differences, Decision Making

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