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Weinberg, Paul J.; Sorensen-Weinberg, Erika K. – Science Education, 2022
Embodied cognition has been a useful means to support learning in science education. In this article, we describe a model of embodied cognition through analogical mapping that is supported through the participatory simulation and mathematical description of a link and pivot system. We look at the propensity for this model of embodied cognition to…
Descriptors: Human Body, Cognitive Processes, Science Education, Models
Ranger, Jochen; Kuhn, Jörg-Tobias; Wolgast, Anett – Journal of Educational Measurement, 2021
Van der Linden's hierarchical model for responses and response times can be used in order to infer the ability and mental speed of test takers from their responses and response times in an educational test. A standard approach for this is maximum likelihood estimation. In real-world applications, the data of some test takers might be partly…
Descriptors: Models, Reaction Time, Item Response Theory, Tests
Edmunds, Charlotte E. R.; Milton, Fraser; Wills, Andy J. – Cognitive Science, 2018
Behavioral evidence for the COVIS dual-process model of category learning has been widely reported in over a hundred publications (Ashby & Valentin, 2016). It is generally accepted that the validity of such evidence depends on the accurate identification of individual participants' categorization strategies, a task that usually falls to…
Descriptors: Simulation, Models, Cognitive Processes, Classification
Kangasrääsiö, Antti; Jokinen, Jussi P. P.; Oulasvirta, Antti; Howes, Andrew; Kaski, Samuel – Cognitive Science, 2019
This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional…
Descriptors: Inferences, Computation, Cognitive Processes, Models
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
Westera, Wim – Interactive Learning Environments, 2018
This paper presents a computational model for simulating how people learn from serious games. While avoiding the combinatorial explosion of a games micro-states, the model offers a meso-level pathfinding approach, which is guided by cognitive flow theory and various concepts from learning sciences. It extends a basic, existing model by exposing…
Descriptors: Computation, Models, Simulation, Games
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
Agres, Kat; Abdallah, Samer; Pearce, Marcus – Cognitive Science, 2018
A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different…
Descriptors: Auditory Stimuli, Cognitive Processes, Coding, Memory
Zhang, Zhidong – International Education Studies, 2018
This study explored a diagnostic assessment method that emphasized the cognitive process of algebra learning. The study utilized a design and a theory-driven model to examine the content knowledge. Using the theory driven model, the thinking skills of algebra learning was also examined. A Bayesian network model was applied to represent the theory…
Descriptors: Algebra, Bayesian Statistics, Scores, Mathematics Achievement
Walsh, Matthew M.; Gluck, Kevin A. – Cognitive Science, 2015
To function well in an unpredictable environment using unreliable components, a system must have a high degree of robustness. Robustness is fundamental to biological systems and is an objective in the design of engineered systems such as airplane engines and buildings. Cognitive systems, like biological and engineered systems, exist within…
Descriptors: Schemata (Cognition), Simulation, Semantics, Memory
Lamb, Richard L. – Journal of Science Education and Technology, 2016
Within the last 10 years, new tools for assisting in the teaching and learning of academic skills and content within the context of science have arisen. These new tools include multiple types of computer software and hardware to include (video) games. The purpose of this study was to examine and compare the effect of computer learning games in the…
Descriptors: Cognitive Processes, Computation, Models, Science Laboratories
Koen, Joshua D.; Yonelinas, Andrew P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Koen and Yonelinas (2010) contrasted the recollection and encoding variability accounts of the finding that old items are associated with more variable memory strength than new items. The study indicated that (a) increasing encoding variability did not lead to increased measures of old item variance, and (b) old item variance was directly related…
Descriptors: Recall (Psychology), Memory, Cognitive Processes, Models
Wiecki, Thomas V.; Frank, Michael J. – Psychological Review, 2013
Planning and executing volitional actions in the face of conflicting habitual responses is a critical aspect of human behavior. At the core of the interplay between these 2 control systems lies an override mechanism that can suppress the habitual action selection process and allow executive control to take over. Here, we construct a neural circuit…
Descriptors: Inhibition, Cognitive Processes, Brain Hemisphere Functions, Models
Kamsa, Imane; Elouahbi, Rachid; El Khoukhi, Fatima – Journal of Information Technology Education: Research, 2017
Aim/Purpose: To identify and rectify the learning difficulties of online learners. Background: The major cause of learners' failure and non-acquisition of knowledge relates to their weaknesses in certain areas necessary for optimal learning. We focus on e-learning because, within this environment, the learner is mostly affected by these…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Learning Disabilities
Oros, Nicolas; Chiba, Andrea A.; Nitz, Douglas A.; Krichmar, Jeffrey L. – Learning & Memory, 2014
Learning to ignore irrelevant stimuli is essential to achieving efficient and fluid attention, and serves as the complement to increasing attention to relevant stimuli. The different cholinergic (ACh) subsystems within the basal forebrain regulate attention in distinct but complementary ways. ACh projections from the substantia innominata/nucleus…
Descriptors: Stimuli, Cognitive Processes, Attention, Brain Hemisphere Functions