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Janssen, Christian P.; Gray, Wayne D. – Cognitive Science, 2012
Reinforcement learning approaches to cognitive modeling represent task acquisition as learning to choose the sequence of steps that accomplishes the task while maximizing a reward. However, an apparently unrecognized problem for modelers is choosing when, what, and how much to reward; that is, when (the moment: end of trial, subtask, or some other…
Descriptors: Rewards, Reinforcement, Models, Memory
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Machado, Armando; Tonneau, Francois – Behavior Analyst, 2012
Barba's (2012) article deftly weaves three main themes in one argument about operant variability. From general theoretical considerations on operant behavior (Catania, 1973), Barba derives methodological guidelines about response differentiation and applies them to the study of operant variability. In the process, he uncovers unnoticed features of…
Descriptors: Reinforcement, Operant Conditioning, Probability, Stereotypes
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Strother, Lars; Kubovy, Michael – Journal of Experimental Psychology: Human Perception and Performance, 2012
We perceive structure through a process of perceptual organization. Here we report a new perceptual organization phenomenon--the facilitation of visual grouping by global curvature. Observers viewed patterns that they perceived as organized into collections of curves. The patterns were perceptually ambiguous such that the perceived orientation of…
Descriptors: Vision, Proximity, Psychology, Bayesian Statistics
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Khovanova, Tanya – College Mathematics Journal, 2012
When Martin Gardner first presented the Two-Children problem, he made a mistake in its solution. Later he corrected the error, but unfortunately the incorrect solution is more widely known than his correction. In fact, a Tuesday-Child variation of this problem went viral in 2010, and the same flaw keeps reappearing in proposed solutions of that…
Descriptors: Mathematics, Probability, Problem Solving, Error Correction
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Koo, Hahn; Callahan, Lydia – Language and Cognitive Processes, 2012
One hypothesis raised by Newport and Aslin to explain how speakers learn dependencies between nonadjacent phonemes is that speakers track bigram probabilities between two segments that are adjacent to each other within a tier of their own. The hypothesis predicts that a dependency between segments separated from each other at the tier level cannot…
Descriptors: Probability, Phonemes, Experiments, Vowels
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Imai, Kosuke – Journal of Research on Educational Effectiveness, 2012
The author begins this discussion by thanking Larry Hedges, the editor of the journal, for giving him an opportunity to provide a commentary on this stimulating article. He also would like to congratulate the authors of the article for their insightful discussion on causal mediation analysis, which is one of the most important and challenging…
Descriptors: Statistical Analysis, Attribution Theory, Probability, Statistical Bias
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Lischka, Alyson E., Ed.; Dyer, Elizabeth B., Ed.; Jones, Ryan Seth, Ed.; Lovett, Jennifer N., Ed.; Strayer, Jeremy, Ed.; Drown, Samantha, Ed. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
These proceedings are a written record of the research presented at the 44th annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (PME-NA) held in Nashville, Tennessee, and virtually. This year's conference theme is "Critical Dissonance and Resonant Harmony." The aim of this…
Descriptors: Educational Psychology, Mathematics Education, Conferences (Gatherings), Conference Papers
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Falkauskas, Kaitlin; Kuperman, Victor – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Statistical patterns of language use demonstrably affect language comprehension and language production. This study set out to determine whether the variable amount of exposure to such patterns leads to individual differences in reading behavior as measured via eye-movements. Previous studies have demonstrated that more proficient readers are less…
Descriptors: Language Processing, Comprehension, Eye Movements, Experimental Psychology
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Pieters, Stefanie; Roeyers, Herbert; Rosseel, Yves; Van Waelvelde, Hilde; Desoete, Annemie – Journal of Learning Disabilities, 2015
A relationship between motor and mathematical skills has been shown by previous research. However, the question of whether subtypes can be differentiated within developmental coordination disorder (DCD) and/or mathematical learning disability (MLD) remains unresolved. In a sample of children with and without DCD and/or MLD, a data-driven…
Descriptors: Disability Identification, Developmental Disabilities, Psychomotor Skills, Mathematics Skills
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Hurwitz, Michael; Smith, Jonathan; Howell, Jessica S. – Journal of Policy Analysis and Management, 2015
Using a rich data set of all SAT test takers from the 2004 through 2008 high school graduation cohorts, we investigate the impact of state-specific school age-of-entry laws on students' pathways into and through college. We document that these laws do not impact the probability that a student takes the SAT; however, we find strong evidence that…
Descriptors: School Entrance Age, School Law, High School Graduates, College Entrance Examinations
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Farías, Mauricio; Sevilla, María Paola – Research in Higher Education, 2015
Vocational education is increasingly seen as a viable path to higher education and not simply a direct route to the labor market. This paper studies the relationship between the secondary school track attended by Chilean students (vocational or academic) and their subsequent outcomes in access to and persistence in postsecondary vocational…
Descriptors: Vocational High Schools, School Effectiveness, Access to Education, Academic Persistence
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Van Hecke, Tanja – Teaching Mathematics and Its Applications, 2015
Optimal assessment tools should measure in a limited time the knowledge of students in a correct and unbiased way. A method for automating the scoring is multiple choice scoring. This article compares scoring methods from a probabilistic point of view by modelling the probability to pass: the number right scoring, the initial correction (IC) and…
Descriptors: Multiple Choice Tests, Error Correction, Grading, Evaluation Methods
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Robic, S.; Sonié, S.; Fonlupt, P.; Henaff, M.-A.; Touil, N.; Coricelli, G.; Mattout, J.; Schmitz, C. – Journal of Autism and Developmental Disorders, 2015
To learn to deal with the unexpected is essential to adaptation to a social, therefore often unpredictable environment. Fourteen adults with autism spectrum disorders (ASD) and 15 controls underwent a decision-making task aimed at investigating the influence of either a social or a non-social environment, and its interaction with either a stable…
Descriptors: Decision Making, Autism, Pervasive Developmental Disorders, Adults
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Zhou, Yisu; Wang, Dan – Asia-Pacific Education Researcher, 2015
Spawned by the heightened competition in mainstream education, supplementary tutoring outside regular school time has rapidly expanded as a common practice of students seeking to gain a competitive edge in school. It is widely known that students from low socioeconomic status (SES) families lag behind their high-SES peers in academic performance.…
Descriptors: Foreign Countries, Socioeconomic Influences, Family Income, Probability
Thur, Scott M. – ProQuest LLC, 2015
The purpose of this study was to measure decision-making influences within RtI teams. The study examined the factors that influence school personnel involved in three areas of RtI: determining which RtI measures and tools teams select and implement (i.e. Measures and Tools), evaluating the data-driven decisions that are made based on the…
Descriptors: Decision Making, Response to Intervention, Teamwork, Data
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