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Coertjens, Liesje – British Journal of Educational Psychology, 2018
Aim: The main aim of this commentary was to connect the insights from the contributions of the special issue on the intersection between depth and the regulation of strategy use. The seven contributions in this special issue stem from three perspectives: self-regulated learning (SRL), model of domain learning (MDL), or the student approaches to…
Descriptors: Cognitive Processes, Metacognition, Learning Strategies, Independent Study
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Osler, James Edward, II – Journal of Educational Technology, 2018
This monograph provides in-depth mathematical logic as the foundational rationale for the novel and innovative online instructional methodology called the 4A Metric Algorithm. The 4A Metric has been designed to address and meet the meta-competency-based education challenges faced by 21st century students who must now adapt to and learn in a…
Descriptors: Geometric Concepts, Geometry, Mathematics Instruction, Electronic Learning
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Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars – International Journal of Artificial Intelligence in Education, 2016
Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
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Geary, David C. – Mathematical Thinking and Learning: An International Journal, 2015
The collection of studies in this special issue make an important contribution to our understanding and measurement of the core cognitive and noncognitive factors that influence children's emerging quantitative competencies. The studies also illustrate how the field has matured, from a time when the quantitative competencies of infants and young…
Descriptors: Preschool Children, Statistical Analysis, Knowledge Level, Competence
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Yoshida, Katherine; Rhemtulla, Mijke; Vouloumanos, Athena – Cognitive Science, 2012
The roles of linguistic, cognitive, and social-pragmatic processes in word learning are well established. If statistical mechanisms also contribute to word learning, they must interact with these processes; however, there exists little evidence for such mechanistic synergy. Adults use co-occurrence statistics to encode speech-object pairings with…
Descriptors: Evidence, Infants, Reading Difficulties, Cognitive Processes
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Gonzalez, Cleotilde; Dutt, Varun – Psychological Review, 2011
In decisions from experience, there are 2 experimental paradigms: sampling and repeated-choice. In the sampling paradigm, participants sample between 2 options as many times as they want (i.e., the stopping point is variable), observe the outcome with no real consequences each time, and finally select 1 of the 2 options that cause them to earn or…
Descriptors: Feedback (Response), Learning Theories, Models, Sampling
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Chow, Jia Yi – Quest, 2013
This article provides a brief overview of the framework of nonlinear pedagogy and evidence emanating from motor learning literature that underpins a nonlinear pedagogical approach. In addition, challenges for nonlinear pedagogy and a discussion on how nonlinear pedagogy support the work of physical education (PE) teachers will be shared. Evidence…
Descriptors: Physical Education, Physical Education Teachers, Teaching Methods, Learning Strategies
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Noventa, S.; Massidda, D.; Vidotto, G. – Psicologica: International Journal of Methodology and Experimental Psychology, 2010
The initial state parameters s[subscript 0] and w[subscript 0] are intricate issues of the averaging cognitive models in Information Integration Theory. Usually they are defined as a measure of prior information (Anderson, 1981; 1982) but there are no general rules to deal with them. In fact, there is no agreement as to their treatment except in…
Descriptors: Models, Psychometrics, Experimental Psychology, Measurement Techniques
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Jensen, A. R. – Intelligence, 2011
Mental chronometry (MC) studies cognitive processes measured by time. It provides an absolute, ratio scale. The limitations of instrumentation and statistical analysis caused the early studies in MC to be eclipsed by the "paper-and-pencil" psychometric tests started by Binet. However, they use an age-normed, rather than a ratio scale, which…
Descriptors: Reaction Time, Intelligence Quotient, Measures (Individuals), Factor Analysis
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Vidotto, G.; Massidda, D.; Noventa, S. – Psicologica: International Journal of Methodology and Experimental Psychology, 2010
The Functional Measurement approach, proposed within the theoretical framework of Information Integration Theory (Anderson, 1981, 1982), can be a useful multi-attribute analysis tool. Compared to the majority of statistical models, the averaging model can account for interaction effects without adding complexity. The R-Average method (Vidotto &…
Descriptors: Interaction, Computation, Computer Assisted Testing, Computer Software
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Dreisbach, Gesine; Haider, Hilde – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
To pursue goal directed behavior, the cognitive system must be shielded against interference from irrelevant information. Aside from the online adjustment of cognitive control widely discussed in the literature, an additional mechanism of preventive goal shielding is suggested that circumvents irrelevant information from being processed in the…
Descriptors: Cognitive Processes, Foreign Countries, Stimuli, Reaction Time
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Rey, Gunter Daniel – Australasian Journal of Educational Technology, 2011
Students (N = 101) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without time advice) x 3 (with learning questions and corrective feedback, with…
Descriptors: Feedback (Response), Learning Theories, Computer Simulation, Statistical Analysis
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Kalinowski, Pav; Lai, Jerry; Fidler, Fiona; Cumming, Geoff – Statistics Education Research Journal, 2010
Our research in statistical cognition uses both qualitative and quantitative methods. A mixed method approach makes our research more comprehensive, and provides us with new directions, unexpected insights, and alternative explanations for previously established concepts. In this paper, we review four statistical cognition studies that used mixed…
Descriptors: Graduate Students, Qualitative Research, Psychologists, Statistical Analysis
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Arnold, Pip; Pfannkuch, Maxine; Wild, Chris J.; Regan, Matt; Budgett, Stephanie – Journal of Statistics Education, 2011
Computer simulations and animations for developing statistical concepts are often not understood by beginners. Hands-on physical simulations that morph into computer simulations are teaching approaches that can build students' concepts. In this paper we review the literature on visual and verbal cognitive processing and on the efficacy of…
Descriptors: Foreign Countries, Statistics, Learning Theories, Cues
Educational Testing Service, 2008
This document describes the breadth of the research being conducted in 2008 by the Research and Development Division at Educational Testing Service (ETS). The research described falls into three large categories: (1) Research supported by the ETS research allocation; (2) Research funded by testing programs at ETS; and (3) Research funded by…
Descriptors: Research and Development, Testing Programs, Educational Testing, Educational Research
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