Results for 'Human Learning'

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  1.  7
    A Guide for Research Supervisors.David Black & Centre for Research Into Human Communication And Learning - 1994
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  2.  16
    Husserlian Phenomenology in a New Key: Intersubjectivity, Ethos, the Societal Sphere, Human Encounter, Pathos Book 2 Phenomenology in the World Fifty Years after the Death of Edmund Husserl.Anna-Teresa Tymieniecka, World Institute for Advanced Phenomenological Research and Learning & World Congress of Phenomenology - 1991 - Springer.
    Fifty years after the death of Edmund Husserl, the main founder of the phenomenological current of thought, we present to the public a four book collection showing in an unprecedented way how Husserl's aspiration to inspire the entire universe of knowledge and scholarship has now been realized. These volumes display for the first time the astounding expansion of phenomenological philosophy throughout the world and the enormous wealth and variety of ideas, insights, and approaches it has inspired. The basic commitment to (...)
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  3. Phenomenology of Life and the Human Creative Condition.Anna-Teresa Tymieniecka, World Institute for Advanced Phenomenological Research and Learning & World Congress of Phenomenology - 1998
     
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  4.  29
    Sexual abuse: A practical theological study, with an emphasis on learning from transdisciplinary research.Heidi Human & Julian C. Müller - 2015 - HTS Theological Studies 71 (3).
    This article illustrates the practical usefulness of transdisciplinary work for practical theology by showing how input from an occupational therapist informed my understanding and interpretation of the story of Hannetjie, who had been sexually abused as a child. This forms part of a narrative practical theological research project into the spirituality of female adult survivors of childhood sexual abuse. Transdisciplinary work is useful to practical theologians, as it opens possibilities for learning about matters pastors have to face, but may (...)
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  5.  9
    Phenomenology of Life in a Dialogue Between Chinese and Occidental Philosophy.Anna-Teresa Tymieniecka & World Institute for Advanced Phenomenological Research and Learning - 1984 - Springer.
    To introduce this collection of research studies, which stem from the pro grams conducted by The World Phenomenology Institute, we need say a few words about our aims and work. This will bring to light the significance of the present volume. The phenomenological philosophy is an unprejudiced study of experience in its entire range: experience being understood as yielding objects. Experi ence, moreover, is approached in a specific way, such a way that it legitima tizes itself naturally in immediate evidence. (...)
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  6.  52
    Appearance in this list neither guarantees nor precludes a future review of the book. Aleksander, Igor, The World in my Mind, My Mind in the World: Key Mechanisms of Consciousness in People, Animals and Machines, Charlottesville, VA and Exeter, UK: Imprint Academic, 2005, pp. 196,£ 17.95, $34.90. Aparece, Pederito A., Teaching, Learning and Community: An Examination of Wittgen. [REVIEW]Human Nature - 2005 - Mind 114:455.
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  7.  10
    Life the Human Being between Life and Death: A Dialogue between Medicine and Philosophy: Recurrent Issues and New Approaches.Anna-Teresa Tymieniecka, Zbigniew Zalewski & World Institute for Advanced Phenomenological Research and Learning - 2000 - Springer.
    Medicine's crucial concern with health is perennial, but its reflection, concepts, means change with the advance of science and social life. We present here a fascinating panorama of current medical discussions with their philosophical underpinnings, and queries as they have evolved from the past. The role of Tymieniecka's phenomenology of life is brought forth as the system of philosophical reference.
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  8.  9
    Mystery in its Passions: Literary Explorations: Literary Explorations.Anna-Teresa Tymieniecka, International Society for Phenomenology and Literature & World Institute for Advanced Phenomenological Research and Learning - 2004 - Springer Verlag.
    Through mystery, literature reveals to us the Great Unknown. While we are absorbed by the matters at hand with the present enactment of our life, groping for clues to handle them, it is through literature that we discover the hidden strings underlying their networks. Hence our fascination with literature. But there is more. The creative act of the human being, its proper focus, holds the key to the Sezam of life: to the great metaphysical/ontopoietic questions which literature may disclose. (...)
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  9.  5
    Can Mindfulness Help to Alleviate Loneliness? A Systematic Review and Meta-Analysis.Siew Li Teoh, Vengadesh Letchumanan & Learn-Han Lee - 2021 - Frontiers in Psychology 12.
    Objective: Mindfulness-based intervention has been proposed to alleviate loneliness and improve social connectedness. Several randomized controlled trials have been conducted to evaluate the effectiveness of MBI. This study aimed to critically evaluate and determine the effectiveness and safety of MBI in alleviating the feeling of loneliness.Methods: We searched Medline, Embase, PsycInfo, Cochrane CENTRAL, and AMED for publications from inception to May 2020. We included RCTs with human subjects who were enrolled in MBI with loneliness as an outcome. The quality (...)
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  10.  11
    How humans learn to think mathematically: exploring the three worlds of mathematics.David Orme Tall - 2013 - Cambridge: Cambridge University Press.
    I. Prelude -- About this Book -- II. School Mathematics and Its Consequences -- The Foundations of Mathematical Thinking -- Compression, Connection and Blending of Mathematical Ideas -- Set-befores, Met-befores and Long-term Learning -- Mathematics and the Emotions -- The Three Worlds of Mathematics -- Journeys through Embodiment and Symbolism -- Problem-Solving and Proof -- III. Interlude -- The Historical Evolution of Mathematics -- IV. University Mathematics and Beyond -- The Transition to Formal Knowledge -- Blending Knowledge Structures in (...)
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  11.  16
    Human learning and memory.Charan Ranganath, Laura A. Libby & Ling Wong - 2012 - In Keith Frankish & William Ramsey (eds.), The Cambridge Handbook of Cognitive Science. Cambridge: Cambridge University Press. pp. 112.
  12. Can Humanity Learn to become Civilized? The Crisis of Science without Civilization.Nicholas Maxwell - 2000 - Journal of Applied Philosophy 17 (1):29-44.
    Two great problems of learning confront humanity: learning about the nature of the universe and our place in it, and learning how to become civilized. The first problem was solved, in essence, in the 17th century, with the creation of modern science. But the second problem has not yet been solved. Solving the first problem without also solving the second puts us in a situation of great danger. All our current global problems have arisen as a result. (...)
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  13.  24
    Machine learning and human learning: a socio-cultural and -material perspective on their relationship and the implications for researching working and learning.David Guile & Jelena Popov - forthcoming - AI and Society:1-14.
    The paper adopts an inter-theoretical socio-cultural and -material perspective on the relationship between human + machine learning to propose a new way to investigate the human + machine assistive assemblages emerging in professional work (e.g. medicine, architecture, design and engineering). Its starting point is Hutchins’s (1995a) concept of ‘distributed cognition’ and his argument that his concept of ‘cultural ecosystems’ constitutes a unit of analysis to investigate collective human + machine working and learning (Hutchins, Philos Psychol (...)
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  14. How Universities Can Help Humanity Learn How to Resolve the Crises of Our Times - From Knowledge to Wisdom: The University College London Experience.Nicholas Maxwell - 2012 - In G. Heam Heam, T. Katlelle & D. Rooney (eds.), Handbook on the Knowledge Economy, vol. 2.
    We are in a state of impending crisis. And the fault lies in part with academia. For two centuries or so, academia has been devoted to the pursuit of knowledge and technological know-how. This has enormously increased our power to act which has, in turn, brought us both all the great benefits of the modern world and the crises we now face. Modern science and technology have made possible modern industry and agriculture, the explosive growth of the world’s population, global (...)
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  15. Can Humanity Learn to Create a Better World? The Crisis of Science without Wisdom.Nicholas Maxwell - 2001 - In Tom Bentley & Daniel Stedman Jones (eds.), The Moral Universe.
    Can we learn to create a better world? Yes, if we first create traditions and institutions of learning rationally devoted to that end. At present universities all over the world are dominated by the idea that the basic aim of academic inquiry is to acquire knowledge. Such a conception of inquiry, judged from the standpoint of helping us learn wisdom and civilization, is grotesquely and damagingly irrational. We need to change our approach to academic enterprise if we are to (...)
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  16.  13
    Improving Human Learning in the Classroom: Theories and Teaching Practices.George R. Taylor & Loretta MacKenney - 2008 - R&L Education.
    Improving Human Learning in the Classroom provides a functional and realistic approach to facilitate learning through a demonstration of commonalities between the various theories of learning. Designed to assist educators in eliciting students' prior knowledge, providing feedback, transfer of knowledge, and promoting self-assessment, Taylor and MacKenney provide proven strategies for infusing various learning theories into a curriculum, guiding educators to find their own strategies for promoting learning in the classroom. Both quantitative and qualitative research (...)
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  17. Characteristics of dissociable human learning systems.David R. Shanks & Mark F. St John - 1994 - 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. (...)
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  18.  89
    Characteristics of dissociable human learning systems.David R. Shanks & Mark F. St John - 1994 - Behavioral and Brain Sciences 17 (3):367-395.
    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, between learning that takes place with versus without concurrent awareness, and between learning that involves the encoding of instances versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence (...)
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  19. Human learning.D. W. Hamlyn - forthcoming - The Philosophy of Education.
  20.  8
    Human Learning and Memory: Selected Readings.Gordon R. Cross & N. J. Slamecka - 1968 - British Journal of Educational Studies 16 (1):100.
  21.  15
    Human learning is more complex and fears are more influenced by ontogeny.Ondrej Kondas - 1980 - Behavioral and Brain Sciences 3 (3):461-461.
  22.  9
    Human Learning: A Developmental Analysis.M. F. Cleugh & H. S. N. McFarland - 1970 - British Journal of Educational Studies 18 (1):105.
  23.  81
    Machine learning by imitating human learning.Chang Kuo-Chin, Hong Tzung-Pei & Tseng Shian-Shyong - 1996 - Minds and Machines 6 (2):203-228.
    Learning general concepts in imperfect environments is difficult since training instances often include noisy data, inconclusive data, incomplete data, unknown attributes, unknown attribute values and other barriers to effective learning. It is well known that people can learn effectively in imperfect environments, and can manage to process very large amounts of data. Imitating human learning behavior therefore provides a useful model for machine learning in real-world applications. This paper proposes a new, more effective way to (...)
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  24. The philosophy of human learning.Christopher Winch - 1998 - New York: Routledge.
    Christopher Winch launches a vigorous Wittgensteinian attack on both the "romantic" Rousseauian and the "scientific" cognitivist traditions in learning theory. These two schools, he argues, are more closely related than is commonly realized.
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  25.  39
    Cultural Niche Construction and Human Learning Environments: Investigating Sociocultural Perspectives.Jeremy R. Kendal - 2011 - Biological Theory 6 (3):241-250.
    Niche construction theory (NCT) can be applied to examine the influence of culturally constructed learning environments on the acquisition and retention of beliefs, values, role expectations, and skills. Thus, NCT provides a quantitative framework to account for cultural-historical contingency affecting development and cultural evolution. Learning in a culturally constructed environment is of central concern to many sociologists, cognitive scientists, and sociocultural anthropologists, albeit often from different perspectives. This article summarizes four pertinent theories from these fields—situated learning, activity (...)
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  26.  14
    The efficacy of human learning in Lewis signalling games.Calvin Thomas Cochran & Jeffrey Barrett - forthcoming - British Journal for the Philosophy of Science.
  27.  6
    Competence Based Education and Training (CBET) and the End of Human Learning: The Existential Threat of Competency.John Preston - 2017 - Cham: Imprint: Palgrave Macmillan.
    This book radically counters the optimism sparked by Competence Based Education and Training, an educational philosophy that has re-emerged in Schooling, Vocational and Higher Education in the last decade. CBET supposedly offers a new type of learning that will lead to skilled employment; here, Preston instead presents the competency movement as one which makes the concept of human learning redundant. Starting with its origins in Taylorism, the slaughterhouse and radical behaviourism, the book charts the history of competency (...)
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  28.  55
    The Givenness of the Human Learning Experience and Its Incompatibility with Information Analytics.David Lundie - 2017 - Educational Philosophy and Theory 49 (4).
    The rise of learning analytics, the application of complex metrics developed to exploit the proliferation of ‘Big Data’ in educational work, raises important moral questions about the nature of what is measurable in education. Teachers, schools and nations are increasingly held to account based on metrics, exacerbating the tendency for fine-grained measurement of learning experiences. In this article, the origins of learning analytics ontology are explored, drawing upon core ideas in the philosophy of computing, such as the (...)
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  29. Mechanisms in Human Learning.Fernand Gobet, Peter C. R. Lane, Steve Croker, Peter C.-H. Cheng, Gary Jones, Iain Oliver & Julian M. Pine - 2001 - Trends in Cognitive Sciences 5 (6):236-243.
    Pioneering work in the 1940s and 1950s suggested that the concept of chunking might be important in many processes of perception, learning and cognition in humans and animals. We summarize here the major sources of evidence for chunking mechanisms, and consider how such mechanisms have been implemented in computational models of the learning process. We distinguish two forms of chunking: the first deliberate, under strategic control, and goal-oriented; the second automatic, continuous, and linked to perceptual processes. Recent work (...)
     
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  30.  13
    The similarity paradox in human learning: a resolution.Charles E. Osgood - 1949 - Psychological Review 56 (3):132-143.
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  31.  20
    Continuity in human learning.W. C. H. Prentice - 1949 - Journal of Experimental Psychology 39 (2):187.
  32.  21
    Divine Revelation and Human Learning: A Christian Theory of Knowledge /C David Heywood.David Heywood - 2003 - Ashgate.
    For Christian education, this book provides a theological rationale for the use of methods of teaching and learning of educationally proven effectiveness.
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  33.  14
    What can humans learn from flies about adenomatous polyposis coli?Angela I. M. Barth & W. James Nelson - 2002 - Bioessays 24 (9):771-774.
    Somatic or inherited mutations in the adenomatous polyposis coli (APC) gene are a frequent cause of colorectal cancer in humans. APC protein has an important tumor suppression function to reduce cellular levels of the signaling protein β‐catenin and, thereby, inhibit β‐catenin and T‐cell‐factor‐mediated gene expression. In addition, APC protein binds to microtubules in vertebrate cells and localizes to actin‐rich adherens junctions in epithelial cells of the fruit fly Drosophila (Fig. 1). Very little is known, however, about the function of these (...)
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  34.  7
    Publication trends in human learning and memory: 1962-1982.William E. Forrester - 1984 - Bulletin of the Psychonomic Society 22 (2):92-94.
  35. A comprehensive understanding of human learning.Knud Illeris - 2009 - In Contemporary Theories of Learning: Learning Theorists -- In Their Own Words. Routledge.
  36.  5
    Response factors in human learning.George Mandler - 1954 - Psychological Review 61 (4):235-244.
  37.  23
    Implementational constraints on human learning and memory systems.Chad J. Marsolek - 1994 - Behavioral and Brain Sciences 17 (3):411-412.
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  38.  8
    Intercorrelations of measures of human learning.C. S. Hall - 1936 - Psychological Review 43 (2):179-196.
  39.  30
    The evolution of Homo Discens: natural selection and human learning.Osmo Kivinen & Tero Piiroinen - 2018 - Journal for the Theory of Social Behaviour 48 (1):117-133.
    This article takes an evolutionary “reverse engineering” standpoint on Homo discens, learning man, to track down the mechanisms that played a pivotal role in the natural selection of human being. The approach is “evolutionary sociological”—as opposed to gene-centred or psychologising—and utilises notions of co-evolutionary organism–environment transactions and niche construction. These are compatible with a Deweyan theory of action, which entails that in action one cannot but learn and one can only learn in action. Special attention is paid to (...)
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  40.  20
    Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition.J. Gerard Wolff - 2019 - Complexity 2019:1-38.
    This paper describes a novel perspective on the foundations of mathematics: how mathematics may be seen to be largely about “information compression via the matching and unification of patterns”. That is itself a novel approach to IC, couched in terms of nonmathematical primitives, as is necessary in any investigation of the foundations of mathematics. This new perspective on the foundations of mathematics reflects the facts that mathematics is almost exclusively the product of human brains, and has been developed, as (...)
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  41.  5
    God, Evil, and Human Learning: A Critique and Revision of the Free Will Defense in Theodicy. [REVIEW]James Cain - 2005 - Religious Studies 41 (4):480-483.
  42.  18
    Of mice and men: Revisiting the relation of nonhuman and human learning.Holger Schultheis & Harald Lachnit - 2009 - Behavioral and Brain Sciences 32 (2):224-225.
    To support their main claim, Mitchell et al. broach the issue of the relationship between the learning performance of human and nonhuman animals. We show that their argumentation is problematic both theoretically and empirically. In fact, results from learning studies with humans and honey-bees strongly suggest that human learning is not entirely propositional.
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  43.  29
    Determinants of self-reinforcement in human learning.Frederick H. Kanfer & Albert R. Marston - 1963 - Journal of Experimental Psychology 66 (3):245.
  44.  17
    Response strengthening by information and effect in human learning.W. A. Hillix & Melvin H. Marx - 1960 - Journal of Experimental Psychology 60 (2):97.
  45.  15
    Waist‐High and Knee‐Deep: Humane Learning Beyond Polemics and Precincts.Chris Higgins - 2015 - Educational Theory 65 (6):699-717.
    In this essay, Chris Higgins sets out to disentangle the tradition of humane learning from contemporary distinctions and debates. The first section demonstrates how a bloated and incoherent “humanism” now functions primarily as a talisman or a target, that is, as a prompt to choose sides. It closes with the image of Doris Salcedo's Shibboleth, suggesting that humanism is more like the uncertain footing of Salcedo's fissure than the footholds on either side. The second section suggests that this “alien (...)
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  46.  19
    Influence of successive habit reversals on human learning and transfer.Nancy T. Paul & Clyde E. Noble - 1964 - Journal of Experimental Psychology 68 (1):37.
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  47.  40
    Straw-men and selective citation are needed to argue that associative-link formation makes no contribution to human learning.Dominic M. Dwyer, Michael E. Le Pelley, David N. George, Mark Haselgrove & Robert C. Honey - 2009 - Behavioral and Brain Sciences 32 (2):206-207.
    Mitchell et al. contend that there is no need to posit a contribution based on the formation of associative links to human learning. In order to sustain this argument, they have ignored evidence which is difficult to explain with propositional accounts; and they have mischaracterised the evidence they do cite by neglecting features of these experiments that contradict a propositional account.
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  48.  12
    New gradients of error reinforcement in multiple-choice human learning.Melvin H. Marx & Marion E. Bunch - 1951 - Journal of Experimental Psychology 41 (2):93.
  49.  13
    Activity during delay of reinforcement in human learning.R. A. Champion & D. A. McBride - 1962 - Journal of Experimental Psychology 63 (6):589.
  50.  43
    Languages of thought need to be distinguished from learning mechanisms, and nothing yet rules out multiple distinctively human learning systems.Michael Tetzlaff & Peter Carruthers - 2008 - Behavioral and Brain Sciences 31 (2):148-149.
    We distinguish the question whether only human minds are equipped with a language of thought (LoT) from the question whether human minds employ a single uniquely human learning mechanism. Thus separated, our answer to both questions is negative. Even very simple minds employ a LoT. And the comparative data reviewed by Penn et al. actually suggest that there are many distinctively human learning mechanisms.
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