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Gripton, Catherine – Research in Mathematics Education, 2023
Pattern is fundamental to mathematical learning yet pattern has been conspicuously low key within early mathematics curriculum guidance in England despite evidence that it predicts later attainment in mathematics overall. Whilst recent curriculum changes have seen pattern afforded enhanced status, this is within a conception of pattern that marks…
Descriptors: Mathematical Concepts, Pattern Recognition, Early Childhood Education, Mathematics Education
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Adam-Troian, Jais; Caroti, Denis; Arciszewski, Thomas; Ståhl, Tomas – Applied Cognitive Psychology, 2019
Previous research suggests that unfounded beliefs (UB)--such as conspiracist beliefs and beliefs in the supernatural--stem from similar cognitive and motivational mechanisms. More specifically, it has been demonstrated that cognitive ability is negatively associated with UB but only among individuals who value epistemic rationality. The present…
Descriptors: Misconceptions, Teacher Attitudes, Beliefs, Epistemology
Samson, Duncan – Mathematics Education Research Group of Australasia, 2010
This paper seeks to establish a research framework for an investigation into the extent to which pupils are able to visualise figural cues in multiple ways within the context of pattern generalisation. Enactivism, along with the constructs of knowledge objectification and figural apprehension, are identified as forming an ideal theoretical…
Descriptors: Foreign Countries, Mathematics Instruction, Visual Aids, Cues
Guo, Zhen – ProQuest LLC, 2010
A basic and classical assumption in the machine learning research area is "randomness assumption" (also known as i.i.d assumption), which states that data are assumed to be independent and identically generated by some known or unknown distribution. This assumption, which is the foundation of most existing approaches in the literature, simplifies…
Descriptors: Artificial Intelligence, Man Machine Systems, Probability, Data
Baker, Ryan S. J. d., Ed.; Merceron, Agathe, Ed.; Pavlik, Philip I., Jr., Ed. – International Working Group on Educational Data Mining, 2010
The Third International Conference on Data Mining (EDM 2010) was held in Pittsburgh, PA, USA. It follows the second conference at the University of Cordoba, Spain, on July 1-3, 2009 and the first edition of the conference held in Montreal in 2008, and a series of workshops within the AAAI, AIED, EC-TEL, ICALT, ITS, and UM conferences. EDM 2011…
Descriptors: Information Retrieval, Pattern Recognition, Interdisciplinary Approach, Computer Science
Hayes-Roth, Barbara – 1977
This paper presents evidence that four design principles commonly embodied in artificial knowledge systems are inconsistent with human cognitive capabilities. Because these principles are widely accepted as characteristics of human knowledge processing, common theoretical properties related to cognitive psychology and artificial intelligence which…
Descriptors: Artificial Intelligence, Cognitive Processes, Cues, Cybernetics
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Kincheloe, Joe L.; Steinberg, Shirley R. – Harvard Educational Review, 1993
Postformal thinking concerns questions of meaning and purpose, multiple perspectives, human dignity, freedom, and social responsibility. Curriculum and instruction based on postformalism involves detecting problems, uncovering hidden assumptions, seeing relationships, deconstructing, connecting logic and emotion, and attending to context. (SK)
Descriptors: Cognitive Development, Cognitive Processes, Constructivism (Learning), Developmental Psychology
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Fox, Mark – Educational Psychology in Practice, 2003
Over the past few years evidence-based practice has become of central concern to health and social services in this country. The fundamental tenant is that there must be a clear link between professional practice and its research base. This paper outlines the concept of evidence-based practice and how it rests on the concept of good quality…
Descriptors: Educational Psychology, Psychologists, Epistemology, Validity
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Roberts, Jay W. – Journal of Experiential Education, 2002
Principles of brain-based learning, including pattern and meaning making, parallel processing, and the role of stress and threat, are explained, along with their connections to longstanding practices of experiential education. The Brain Compatible Approach is one avenue for clarifying to mainstream educators how and why experiential methods are…
Descriptors: Brain, Cognitive Processes, Educational Environment, Educational Trends
Jordan, Michael I. – 1986
Human behavior shows a variety of serially ordered action sequences. This paper presents a theory of serial order which describes how sequences of actions might be learned and performed. In this theory, parallel interactions across time (coarticulation) and parallel interactions across space (dual-task interference) are viewed as two aspects of a…
Descriptors: Algorithms, Epistemology, Language Patterns, Language Processing
Chick, Helen L., Ed.; Vincent, Jill L., Ed. – International Group for the Psychology of Mathematics Education, 2005
This document contains the second volume of the proceedings of the 29th Conference of the International Group for the Psychology of Mathematics Education. Conference papers are centered around the theme of "Learners and Learning Environments." This volume features 43 research reports by presenters with last names beginning between Adl…
Descriptors: Foreign Countries, Multilingualism, Research Reports, Symbols (Mathematics)
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers