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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
Bossé, Michael J.; Ringler, Marjorie Campo; Bayaga, Anass; Fountain, Catherine; Young, Erica Slate – International Journal for Mathematics Teaching and Learning, 2018
Research in second language acquisition and the learning of mathematics has matured through long, albeit disconnected, histories. This study examines how theories and models of second language acquisition can be applied to the learning of mathematics and, through this, develops a novel framework defining stages in the learning of mathematics. This…
Descriptors: Second Language Learning, Mathematics Instruction, Teaching Methods, Cognitive Processes
Moreton, Elliott; Pater, Joe; Pertsova, Katya – Cognitive Science, 2017
Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can solve them in analogous ways, and that human performance in both cases can be captured by…
Descriptors: Phonology, Concept Formation, Learning Processes, Difficulty Level
Barkhatova, Daria; Nigmatulina, Elmira; Stepanova, Tatyana – Journal of Social Studies Education Research, 2017
The relevance of the problem under study is due to the society's requirements for the quality information training of a personality which is oriented to forming the solid fundamental knowledge as well as to developing the cognitive capacities that are needed for solving mental tasks. With regard to this, the paper is aimed at finding out the…
Descriptors: Cognitive Processes, Teaching Methods, Computer Science Education, Psychological Patterns
Cowan, Nelson; Blume, Christopher L.; Saults, J. Scott – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
It has been debated on the basis of change-detection procedures whether visual working memory is limited by the number of objects, task-relevant attributes within those objects, or bindings between attributes. This debate, however, has been hampered by several limitations, including the use of conditions that vary between studies and the absence…
Descriptors: Attention, Short Term Memory, Models, Cognitive Processes
Fernando, Chrisantha – Cognitive Science, 2013
How do human infants learn the causal dependencies between events? Evidence suggests that this remarkable feat can be achieved by observation of only a handful of examples. Many computational models have been produced to explain how infants perform causal inference without explicit teaching about statistics or the scientific method. Here, we…
Descriptors: Brain Hemisphere Functions, Infants, Inferences, Causal Models
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
Phillips, Lawrence – ProQuest LLC, 2015
Choosing specific implementational details is one of the most important aspects of creating and evaluating a model. In order to properly model cognitive processes, choices for these details must be made based on empirical research. Unfortunately, modelers are often forced to make decisions in the absence of relevant data. My work investigates the…
Descriptors: Role, Inferences, Prediction, Models
Lamb, Richard; Cavagnetto, Andy; Akmal, Tariq – International Journal of Science and Mathematics Education, 2016
A critical problem with the examination of learning in education is that there is an underlying assumption that the dynamic systems associated with student information processing can be measured using static linear assessments. This static linear approach does not provide sufficient ability to characterize learning. Much of the modern research…
Descriptors: Cognitive Processes, Learning Processes, Science Instruction, Models
Fü rst, Guillaume; Ghisletta, Paolo; Lubart, Todd – Journal of Creative Behavior, 2016
The present work proposes an integrative model of creativity that includes personality traits and cognitive processes. This model hypothesizes that three high-order personality factors predict two main process factors, which in turn predict intensity and achievement of creative activities. The personality factors are: "Plasticity" (high…
Descriptors: Personality, Creativity, Personality Traits, Cognitive Processes
Stoilescu, Dorian – European Journal of Science and Mathematics Education, 2016
This article discusses major theoretical debates and paradigms from the last decades in general education and their specific influences in mathematics education contexts. Behaviourism, cognitive science, constructivism, situated cognition, critical theory, place-based learning, postmodernism and poststructuralism and their significant aspects in…
Descriptors: Mathematics Education, Educational Research, Educational Theories, Behaviorism
Kumar, S. Prasanna; Nathan, B. Sami – Online Submission, 2016
Every teacher expects optimum level of processing in mind of them students. The level of processing is mainly depends upon memory process. Most of the students have retrieval difficulties on past learning. Memory difficulties directly related to sensory integration. In these circumstances the investigator made an attempt to construct Multisensory…
Descriptors: Models, Multisensory Learning, Memory, Instructional Innovation
Kim, Dan; Opfer, John E. – Developmental Psychology, 2017
Representations of numerical value have been assessed by using bounded (e.g., 0-1,000) and unbounded (e.g., 0-?) number-line tasks, with considerable debate regarding whether 1 or both tasks elicit unique cognitive strategies (e.g., addition or subtraction) and require unique cognitive models. To test this, we examined how well a mixed log-linear…
Descriptors: Computation, Numbers, Children, Cognitive Development
List, Alexandra; Alexander, Patricia A. – Educational Psychologist, 2017
This article introduces the cognitive affective engagement model (CAEM) of multiple source use. The CAEM is presented as a way of unifying cognitive and behaviorally focused models of multiple text engagement with research on the role of affective factors (e.g., interest) in text processing. The CAEM proposes that students' engagement with…
Descriptors: Models, Cognitive Processes, Affective Behavior, Reading Interests
Phage, Itumeleng B.; Lemmer, Miriam; Hitge, Mariette – African Journal of Research in Mathematics, Science and Technology Education, 2017
Students' graph comprehension may be affected by the background of the students who are the readers or interpreters of the graph, their knowledge of the context in which the graph is set, and the inferential processes required by the graph operation. This research study investigated these aspects of graph comprehension for 152 first year…
Descriptors: Foreign Countries, Graphs, Comprehension, Cognitive Processes

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