Search results for 'Learning physiology' (try it on Scholar)

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  1.  28
    Robyn Barnacle (2009). Gut Instinct: The Body and Learning. Educational Philosophy and Theory 41 (1):22-33.
    In the current socio-political climate pedagogies consistent with rationalism are in the ascendancy. One way to challenge the purchase of rationalism within educational discourse and practice is through the body, or by re-thinking the nature of mind-body relations. While the orientation of this paper is ultimately phenomenological, it takes as its point of departure recent feminist scholarship, which is demonstrating that attending to physiology can provide insight into the complexity of mind-body relations. Elizabeth Wilson's account of the role of (...)
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  2.  3
    David J. Stevens, Joanne Arciuli & David I. Anderson (2015). Concurrent Movement Impairs Incidental But Not Intentional Statistical Learning. Cognitive Science 39 (5):1081-1098.
    The effect of concurrent movement on incidental versus intentional statistical learning was examined in two experiments. In Experiment 1, participants learned the statistical regularities embedded within familiarization stimuli implicitly, whereas in Experiment 2 they were made aware of the embedded regularities and were instructed explicitly to learn these regularities. Experiment 1 demonstrated that while the control group were able to learn the statistical regularities, the resistance-free cycling group and the exercise group did not demonstrate learning. This is in (...)
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  3.  2
    S. Devriese, W. Winters, I. van Diest & O. van den Bergh (2004). Contingency Awareness in a Symptom Learning Paradigm: Necessary but Not Sufficient? Consciousness and Cognition 13 (3):439-452.
    In previous studies, we found that bodily symptoms can be learned in a differential conditioning paradigm, using odors as conditioned stimuli and CO2-enriched air as unconditioned stimulus . However, this only occurred when the odor CS had a negative valence , and tended to be more pronounced in persons scoring high for Negative Affectivity . This paper considers the necessity and/or sufficiency of awareness of the CS–US contingency in three studies using this paradigm. The relation between contingency awareness and the (...)
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  4.  51
    Silvia A. Bunge & Jonathan D. Wallis (eds.) (2008). Neuroscience of Rule-Guided Behavior. Oxford University Press.
    euroscience of Rule-Guided Behavior brings together, for the first time, the experiments and theories that have created the new science of rules. Rules are central to human behavior, but until now the field of neuroscience lacked a synthetic approach to understanding them. How are rules learned, retrieved from memory, maintained in consciousness and implemented? How are they used to solve problems and select among actions and activities? How are the various levels of rules represented in the brain, ranging from simple (...)
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  5. Mario von Cranach (1976). Methods Of Inference From Animal To Human Behaviour. The Hague: Mouton.
     
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  6. Alan M. Turing (1950). Computing Machinery and Intelligence. Mind 59 (October):433-60.
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  7.  44
    Abraham I. Melden (1961). Free Action. Routledge.
  8.  78
    George M. Wyburn, Ralph W. Pickford & R. J. Hirst (1964). Human Senses And Perception. University Of Toronto Press,.
  9. Antti Revonsuo (2000). The Reinterpretation of Dreams: An Evolutionary Hypothesis of the Function of Dreaming. Behavioral and Brain Sciences 23 (6):877-901.
    Several theories claim that dreaming is a random by-product of REM sleep physiology and that it does not serve any natural function. Phenomenal dream content, however, is not as disorganized as such views imply. The form and content of dreams is not random but organized and selective: during dreaming, the brain constructs a complex model of the world in which certain types of elements, when compared to waking life, are underrepresented whereas others are over represented. Furthermore, dream content is (...)
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  10.  49
    Wolf Singer (1993). Synchronization of Cortical Activity and its Putative Role in Information Processing and Learning. Annual Review of Physiology 55:349-74.
  11.  2
    Alfredo Pereira Jr, Maria AliceOrnellas Pereira & FábioAugusto Furlan (2011). Recent Advances in Brain Physiology and Cognitive Processing. Mens Sana Monographs 9 (1):183.
    The discovery of participation of astrocytes as active elements in glutamatergic tripartite synapses (composed by functional units of two neurons and one astrocyte) has led to the construction of models of cognitive functioning in the human brain, focusing on associative learning, sensory integration, conscious processing and memory formation/retrieval. We have modelled human cognitive functions by means of an ensemble of functional units (tripartite synapses) connected by gap junctions that link distributed astrocytes, allowing the formation of intra- and intercellular calcium (...)
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  12. Dara Llewellyn & Craig Pearson (eds.) (2011). Consciousness-Based Education: A Foundation for Teaching and Learning in the Academic Disciplines. Consciousness-Based Books, an Imprint of Maharishi University of Management Press.
    Consciousness-based education and Maharishi Vedic science -- Consciousness-based education and education -- Consciousness-based education and physiology and health -- Consciousness-based education and physics -- Consciousness-based education and mathematics -- Consciousness-based education and literature -- Consciousness-based education and art -- Consciousness-based education and management -- Consciousness-based education and government -- Consciousness-based education and computer science -- Consciousness-based education and sustainability -- Consciousness-based education and world peace.
     
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  13. Stephen Downes (2010). Learning Networks and Connective Knowledge. In Harrison Hao Yang & Steve Chi-Yin Yuen (eds.), Collective Intelligence and E-Learning 2.0: Implications of Web-Based Communities and Networking. IGI Global
    The purpose of this chapter is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a (...)
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  14.  21
    Chase E. Thiel, Shane Connelly, Lauren Harkrider, Lynn D. Devenport, Zhanna Bagdasarov, James F. Johnson & Michael D. Mumford (2013). Case-Based Knowledge and Ethics Education: Improving Learning and Transfer Through Emotionally Rich Cases. Science and Engineering Ethics 19 (1):265-286.
    Case-based instruction is a stable feature of ethics education, however, little is known about the attributes of the cases that make them effective. Emotions are an inherent part of ethical decision-making and one source of information actively stored in case-based knowledge, making them an attribute of cases that likely facilitates case-based learning. Emotions also make cases more realistic, an essential component for effective case-based instruction. The purpose of this study was to investigate the influence of emotional case content, and (...)
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  15.  32
    Chris J. Mitchell, Jan De Houwer & Peter F. Lovibond (2009). The Propositional Nature of Human Associative Learning. Behavioral and Brain Sciences 32 (2):183-198.
    The past 50 years have seen an accumulation of evidence suggesting that associative learning depends on high-level cognitive processes that give rise to propositional knowledge. Yet, many learning theorists maintain a belief in a learning mechanism in which links between mental representations are formed automatically. We characterize and highlight the differences between the propositional and link approaches, and review the relevant empirical evidence. We conclude that learning is the consequence of propositional reasoning processes that cooperate with (...)
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  16. Ariel S. Cecchi (2014). Cognitive Penetration, Perceptual Learning and Neural Plasticity. Dialectica 68 (1):63-95.
    Cognitive penetration of perception, broadly understood, is the influence that the cognitive system has on a perceptual system. The paper shows a form of cognitive penetration in the visual system which I call ‘architectural’. Architectural cognitive penetration is the process whereby the behaviour or the structure of the perceptual system is influenced by the cognitive system, which consequently may have an impact on the content of the perceptual experience. I scrutinize a study in perceptual learning that provides empirical evidence (...)
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  17.  45
    Alison Gopnik & Laura Schulz (eds.) (2007). Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press.
    Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories (...)
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  18.  54
    Ronald R. Sims & Edward L. Felton (2006). Designing and Delivering Business Ethics Teaching and Learning. Journal of Business Ethics 63 (3):297 - 312.
    The recent corporate scandals in the United States have caused a renewed interest and focus on teaching business ethics. Business schools and their faculties are reexamining the teaching of business ethics and are reassessing their responsibilities to produce honest and truthful managers who live lives of integrity and ethical accountability. The authors recognize that no agreement exists among business schools and their faculties regarding what should be the content and pedagogy of a course in business ethics. However, the authors hold (...)
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  19. Hong Liu, Bin Hu & Philip Moore (2015). HCI Model with Learning Mechanism for Cooperative Design in Pervasive Computing Environment. Journal of Internet Technology 16.
    This paper presents a human-computer interaction model with a three layers learning mechanism in a pervasive environment. We begin with a discussion around a number of important issues related to human-computer interaction followed by a description of the architecture for a multi-agent cooperative design system for pervasive computing environment. We present our proposed three- layer HCI model and introduce the group formation algorithm, which is predicated on a dynamic sharing niche technology. Finally, we explore the cooperative reinforcement learning (...)
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  20. Arthur S. Reber (1993). Implicit Learning and Tacit Knowledge: An Essay on the Cognitive Unconscious. Oxford University Press.
    In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" process, one (...)
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  21. David R. Shanks & M. F. St John (1994). Characteristics of Dissociable Human Learning Systems. Behavioral and Brain Sciences 17 (3):367-447.
    A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, (1) between learning that takes place with versus without concurrent awareness, and (2) between learning that involves the encoding of instances (or fragments) versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We (...)
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  22.  28
    Kenny Smith, Andrew D. M. Smith & Richard A. Blythe (2011). Cross-Situational Learning: An Experimental Study of Word-Learning Mechanisms. Cognitive Science 35 (3):480-498.
    Cross-situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure-by-exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross-situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less (...)
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  23.  13
    Daniel Yurovsky, Chen Yu & Linda B. Smith (2013). Competitive Processes in Cross‐Situational Word Learning. Cognitive Science 37 (5):891-921.
    Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross-situational word (...)
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  24. Kevin Connolly (forthcoming). Sensory Substitution and Perceptual Learning. In Fiona Macpherson (ed.), Sensory Substitution and Augmentation. Oxford University Press
    When a user integrates a sensory substitution device into her life, the process involves perceptual learning, that is, ‘relatively long-lasting changes to an organism’s perceptual system that improve its ability to respond to its environment’ (Goldstone 1998: 585). In this paper, I explore ways in which the extensive literature on perceptual learning can be applied to help improve sensory substitution devices. I then use these findings to answer a philosophical question. Much of the philosophical debate surrounding sensory substitution (...)
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  25.  6
    Thomas L. Griffiths & Michael L. Kalish (2007). Language Evolution by Iterated Learning With Bayesian Agents. Cognitive Science 31 (3):441-480.
    Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages (...)
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  26.  51
    Peter Hiscock (2014). Learning in Lithic Landscapes: A Reconsideration of the Hominid “Toolmaking” Niche. Biological Theory 9 (1):27-41.
    This article reconsiders the early hominid ‘‘lithic niche’’ by examining the social implications of stone artifact making. I reject the idea that making tools for use is an adequate explanation of the elaborate artifact forms of the Lower Palaeolithic, or a sufficient cause for long-term trends in hominid technology. I then advance an alternative mechanism founded on the claim that competency in making stone artifacts requires extended learning, and that excellence in artifact making is attained only by highly skilled (...)
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  27.  27
    Afsaneh Fazly, Afra Alishahi & Suzanne Stevenson (2010). A Probabilistic Computational Model of Cross-Situational Word Learning. Cognitive Science 34 (6):1017-1063.
    Words are the essence of communication: They are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisition: Children must first learn words before they can combine them into complex utterances. Many theories have been developed to explain the impressive efficiency of young children in acquiring the vocabulary of their language, as well as the developmental patterns observed in the course of lexical acquisition. A major source of (...)
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  28. Jennifer Culbertson, Paul Smolensky & Colin Wilson (2013). Cognitive Biases, Linguistic Universals, and Constraint‐Based Grammar Learning. Topics in Cognitive Science 5 (3):392-424.
    According to classical arguments, language learning is both facilitated and constrained by cognitive biases. These biases are reflected in linguistic typology—the distribution of linguistic patterns across the world's languages—and can be probed with artificial grammar experiments on child and adult learners. Beginning with a widely successful approach to typology (Optimality Theory), and adapting techniques from computational approaches to statistical learning, we develop a Bayesian model of cognitive biases and show that it accounts for the detailed pattern of results (...)
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  29.  47
    Andreas Matthias (2004). The Responsibility Gap: Ascribing Responsibility for the Actions of Learning Automata. [REVIEW] Ethics and Information Technology 6 (3):175-183.
    Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not (...)
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  30.  23
    E. Alpay (2013). Student-Inspired Activities for the Teaching and Learning of Engineering Ethics. Science and Engineering Ethics 19 (4):1455-1468.
    Ethics teaching in engineering can be problematic because of student perceptions of its subjective, ambiguous and philosophical content. The use of discipline-specific case studies has helped to address such perceptions, as has practical decision making and problem solving approaches based on some ethical frameworks. However, a need exists for a wider range of creative methods in ethics education to help complement the variety of activities and learning experiences within the engineering curriculum. In this work, a novel approach is presented (...)
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  31.  11
    Terry Hyland (2011). Mindfulness and Learning: Celebrating the Affective Dimension of Education. Springer Verlag.
    The result is a one-dimensional, economistic and bleakly utilitarian conception of the educational task.In Mindfulness and Learning: Celebrating the Affective Dimension of Education, Terry Hyland advances the thesis that education stands in ...
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  32.  21
    Elisabeth Norman, Mark C. Price & Simon C. Duff (2006). Fringe Consciousness in Sequence Learning: The Influence of Individual Differences. Consciousness and Cognition 15 (4):723-760.
    We first describe how the concept of “fringe consciousness” can characterise gradations of consciousness between the extremes of implicit and explicit learning. We then show that the NEO-PI-R personality measure of openness to feelings, chosen to reflect the ability to introspect on fringe feelings, influences both learning and awareness in the serial reaction time task under conditions that have previously been associated with implicit learning . This provides empirical evidence for the proposed phenomenology and functional role of (...)
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  33.  14
    Haley A. Vlach & Catherine M. Sandhofer (2014). Retrieval Dynamics and Retention in Cross‐Situational Statistical Word Learning. Cognitive Science 38 (4):757-774.
    Previous research on cross-situational word learning has demonstrated that learners are able to reduce ambiguity in mapping words to referents by tracking co-occurrence probabilities across learning events. In the current experiments, we examined whether learners are able to retain mappings over time. The results revealed that learners are able to retain mappings for up to 1 week later. However, there were interactions between the amount of retention and the different learning conditions. Interestingly, the strongest retention was associated (...)
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  34.  21
    John A. Weber (2007). Business Ethics Training: Insights From Learning Theory. [REVIEW] Journal of Business Ethics 70 (1):61 - 85.
    This paper explores research in educational psychology and learning theory in a search for insights to enhance business ethics training Useful educational principles uncovered are then applied to the development of an ethics training initiative for sales professionals. The paper concludes with suggestions for future research to help enrich business ethics training.
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  35.  17
    Gary Hatfield (1992). Descartes' Physiology and its Relation to His Psychology. In John Cottingham (ed.), The Cambridge Companion to Descartes. Cambridge University Press 335--370.
    Descartes understood the subject matter of physics (or natural philosophy) to encompass the whole of nature, including living things. It therefore comprised not only nonvital phenomena, including those we would now denominate as physical, chemical, minerological, magnetic, and atmospheric; it also extended to the world of plants and animals, including the human animal (with the exception of those aspects of the human mind that Descartes assigned to solely to thinking substance: pure intellect and will). Descartes wrote extensively on physiology (...)
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  36. Kevin Connolly (2014). Perceptual Learning and the Contents of Perception. Erkenntnis 79 (6):1407-1418.
    Suppose you have recently gained a disposition for recognizing a high-level kind property, like the property of being a wren. Wrens might look different to you now. According to the Phenomenal Contrast Argument, such cases of perceptual learning show that the contents of perception can include high-level kind properties such as the property of being a wren. I detail an alternative explanation for the different look of the wren: a shift in one’s attentional pattern onto other low-level properties. Philosophers (...)
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  37. Eric Margolis & Stephen Laurence (2011). Learning Matters: The Role of Learning in Concept Acquisition. Mind and Language 26 (5):507-539.
    In LOT 2: The Language of Thought Revisited, Jerry Fodor argues that concept learning of any kind—even for complex concepts—is simply impossible. In order to avoid the conclusion that all concepts, primitive and complex, are innate, he argues that concept acquisition depends on purely noncognitive biological processes. In this paper, we show (1) that Fodor fails to establish that concept learning is impossible, (2) that his own biological account of concept acquisition is unworkable, and (3) that there are (...)
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  38. Rachael L. Brown (2013). Learning, Evolvability and Exploratory Behaviour: Extending the Evolutionary Reach of Learning. Biology and Philosophy 28 (6):933-955.
    Traditional accounts of the role of learning in evolution have concentrated upon its capacity as a source of fitness to individuals. In this paper I use a case study from invasive species biology—the role of conditioned taste aversion in mitigating the impact of cane toads on the native species of Northern Australia—to highlight a role for learning beyond this—as a source of evolvability to populations. This has two benefits. First, it highlights an otherwise under-appreciated role for learning (...)
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  39.  34
    Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. Cognitive Science 34 (7):1185-1243.
    Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The (...)
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  40.  23
    Psyche Loui (2012). Learning and Liking of Melody and Harmony: Further Studies in Artificial Grammar Learning. Topics in Cognitive Science 4 (4):554-567.
    Much of what we know and love about music is based on implicitly acquired mental representations of musical pitches and the relationships between them. While previous studies have shown that these mental representations of music can be acquired rapidly and can influence preference, it is still unclear which aspects of music influence learning and preference formation. This article reports two experiments that use an artificial musical system to examine two questions: (1) which aspects of music matter most for (...), and (2) which aspects of music matter most for preference formation. Two aspects of music are tested: melody and harmony. In Experiment 1 we tested the learning and liking of a new musical system that is manipulated melodically so that only some of the possible conditional probabilities between successive notes are presented. In Experiment 2 we administered the same tests for learning and liking, but we used a musical system that is manipulated harmonically to eliminate the property of harmonic whole-integer ratios between pitches. Results show that disrupting melody (Experiment 1) disabled the learning of music without disrupting preference formation, whereas disrupting harmony (Experiment 2) does not affect learning and memory but disrupts preference formation. Results point to a possible dissociation between learning and preference in musical knowledge. (shrink)
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  41.  37
    Tyson E. Lewis (2011). Rethinking the Learning Society: Giorgio Agamben on Studying, Stupidity, and Impotence. Studies in Philosophy and Education 30 (6):585-599.
    In this article, the author rethinks critiques of the learning society using Giorgio Agamben’s theory of potentiality. Summarizing several major contributions to our understanding of the limitations of the discourse of learning, the author proposes that critics thus far have failed to fully pinpoint the exact danger of learning. Importantly, learning is not only a rejection of the democratic or political dimension of education but it is first and foremost predicated on a false ontology of potentiality. (...)
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  42.  17
    John Bock (2002). Learning, Life History, and Productivity. Human Nature 13 (2):161-197.
    This article introduces a new model of the relationship between growth and learning and tests a set of hypotheses related to the development of adult competency using time allocation, anthropometric, and experimental task performance data collected between 1992 and 1997 in a multiethnic community in the Okavango Delta, Botswana. Building on seminal work in life history theory by Hawkes, Blurton Jones and associates, and Kaplan and associates, the punctuated development model presented here incorporates the effects of both growth and (...)
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  43.  27
    Linda B. Smith, Eliana Colunga & Hanako Yoshida (2010). Knowledge as Process: Contextually Cued Attention and Early Word Learning. Cognitive Science 34 (7):1287-1314.
    Learning depends on attention. The processes that cue attention in the moment dynamically integrate learned regularities and immediate contextual cues. This paper reviews the extensive literature on cued attention and attentional learning in the adult literature and proposes that these fundamental processes are likely significant mechanisms of change in cognitive development. The value of this idea is illustrated using phenomena in children's novel word learning.
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  44. Gregory M. Nixon (2013). Scientism, Philosophy and Brain-Based Learning. Northwest Journal of Teacher Education 11 (2):113-144.
    [This is an edited and improved version of "You Are Not Your Brain: Against 'Teaching to the Brain'" previously published in *Review of Higher Education and Self-Learning* 5(15), Summer 2012.] Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell (...)
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  45. Marleen Maarleveld & Constant Dabgbégnon (1999). Managing Natural Resources: A Social Learning Perspective. [REVIEW] Agriculture and Human Values 16 (3):267-280.
    This article presents a social learning perspective as a means to analyze and facilitate collective decision making and action in managed resource systems such as platforms. First, the social learning perspective is developed in terms of a normative and analytical framework. The normative framework entails three value principles, namely, systems thinking, experimentation, and communicative rationality. The analytical framework is built up around the following questions: who learns, what is learned, why it is learned, and how. Next, this perspective (...)
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  46.  22
    Nancy Matchett (2009). Cooperative Learning, Critical Thinking and Character. Techniques to Cultivate Ethical Deliberation. Public Integrity 12 (1).
    Effective ethics teaching and training must cultivate both the critical thinking skills and the character traits needed to deliberate effectively about ethical issues in personal and professional life. After highlighting some cognitive and motivational obstacles that stand in the way of this task, the article draws on educational research and the author's experience to demonstrate how cooperative learning techniques can be used to overcome them.
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  47.  21
    Philip S. Gerrans (2013). Imitation, Mind Reading, and Social Learning. Biological Theory 8 (1):20-27.
    Imitation has been understood in different ways: as a cognitive adaptation subtended by genetically specified cognitive mechanisms; as an aspect of domain general human cognition. The second option has been advanced by Cecilia Heyes who treats imitation as an instance of associative learning. Her argument is part of a deflationary treatment of the “mirror neuron” phenomenon. I agree with Heyes about mirror neurons but argue that Kim Sterelny has provided the tools to provide a better account of the nature (...)
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  48.  30
    Stanka A. Fitneva & Morten H. Christiansen (2011). Looking in the Wrong Direction Correlates With More Accurate Word Learning. Cognitive Science 35 (2):367-380.
    Previous research on lexical development has aimed to identify the factors that enable accurate initial word-referent mappings based on the assumption that the accuracy of initial word-referent associations is critical for word learning. The present study challenges this assumption. Adult English speakers learned an artificial language within a cross-situational learning paradigm. Visual fixation data were used to assess the direction of visual attention. Participants whose longest fixations in the initial trials fell more often on distracter images performed significantly (...)
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  49.  13
    Stephen L. Payne & Jerry M. Calton (2004). Exploring Research Potentials and Applications for Multi-Stakeholder Learning Dialogues. Journal of Business Ethics 55 (1):71 - 78.
    Varying conceptions of and purposes for dialogue exist. Recent dialogic theorists and advocates urge exploration of forms of dialogue for learning and applying relational responsibilities within stakeholder networks. A related phenomenon has been the recent emergence of multi-stakeholder dialogues that involve parties significantly affected by major issues or concerns, such as environmental sustainability, that have complex and wide-spread implications. The extent to which these recent multi-stakeholder dialogues assume anything resembling the relationship or caring and the learning potentials of (...)
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  50.  6
    Michael Hoffmann & Jason Borenstein (2014). Understanding Ill-Structured Engineering Ethics Problems Through a Collaborative Learning and Argument Visualization Approach. Science and Engineering Ethics 20 (1):261-276.
    As a committee of the National Academy of Engineering recognized, ethics education should foster the ability of students to analyze complex decision situations and ill-structured problems. Building on the NAE’s insights, we report about an innovative teaching approach that has two main features: first, it places the emphasis on deliberation and on self-directed, problem-based learning in small groups of students; and second, it focuses on understanding ill-structured problems. The first innovation is motivated by an abundance of scholarly research that (...)
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