Results for 'Individual learning'

988 found
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  1.  17
    SpotLight on Dynamics of Individual Learning.Roussel Rahman & Wayne D. Gray - 2020 - Topics in Cognitive Science 12 (3):975-991.
    The ability to learn complex tasks is fundamental to being human. Rahman and Gray examine this process in the context of learning to play a simple video game, using a tool called SpotLight to examine the low‐level process of skill and strategy improvements during this process. This paper was awarded the Allen Newell Best Student‐Led Paper Award at ICCM 2019.
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  2.  54
    Computational Models for the Combination of Advice and Individual Learning.Guido Biele, Jörg Rieskamp & Richard Gonzalez - 2009 - Cognitive Science 33 (2):206-242.
    Decision making often takes place in social environments where other actors influence individuals' decisions. The present article examines how advice affects individual learning. Five social learning models combining advice and individual learning‐four based on reinforcement learning and one on Bayesian learning‐and one individual learning model are tested against each other. In two experiments, some participants received good or bad advice prior to a repeated multioption choice task. Receivers of advice adhered to (...)
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  3.  11
    A Cross-Sectional Study of Individual Learning Passion in Medical Education: Understanding Self-Development in Positive Psychology.Shu-E. Zhang, Si-ao Ge, Jing Tian, Qing-lin Li, Ming-si Wang, Xiao-he Wang, Meng Zhang, Ji-Yang Zhao, Li-bin Yang, De-pin Cao & Tao Sun - 2022 - Frontiers in Psychology 13.
    BackgroundBoosting the individual learning passion of medical students is a novel approach to improve their academic performance. It facilitates the medical education reform, motivating both policymakers and educators to focus on the function of positive psychology in the career development of medical students. Therefore, this study aimed to assess the status of two types of learning passion; to clarify the relationship between self-esteem and two types of learning passion among Chinese medical students; to examine the mediating (...)
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  4.  25
    Behavioral Repertoire Influences the Rate and Nature of Learning in Climbing: Implications for Individualized Learning Design in Preparation for Extreme Sports Participation.Dominic Orth, Keith Davids, Jia-Yi Chow, Eric Brymer & Ludovic Seifert - 2018 - Frontiers in Psychology 9.
  5.  13
    Comment: Collective Epistemic Emotions and Individualized Learning: A Relational Account.David Sander - 2020 - Emotion Review 12 (4):230-232.
    This comment considers some potential implications of both the appraisal approaches and the framework proposed by Mascolo in regard to a mechanism that is particularly important for development: le...
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  6.  43
    Economic Reason: The Interplay of Individual Learning and External Structure.Andy Clark - unknown
    Much work in economics, the social sciences, and elsewhere takes as it starting oint a somewhat unrealistic conception of rationality- a conception that ignores or downplays both the temporal and the situated aspects of human reason. Biological reason, I shall argue, is better concieved as an iterated process of adaptive response made under extreme time pressure and exquisitely keyed to a variety of external structures and circumstances.
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  7.  25
    Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages.Tamar Johnson, Noam Siegelman & Inbal Arnon - 2020 - Cognitive Science 44 (8):e12877.
    Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non‐structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of change. Here, we identify and test two contrasting predictions: The first sees learning as a pre‐requisite for structure addition, and predicts a positive correlation between learning accuracy (...)
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  8.  22
    Evolutionary Computation Using Interaction among Genetic Evolution, Individual Learning and Social Learning.Takashi Hashimoto & Katsuhide Warashina - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), PRICAI 2008: Trends in Artificial Intelligence. Springer. pp. 152--163.
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  9.  39
    Taoist wisdom on individualized teaching and learning—Reinterpretation through the perspective of Tao Te Ching.Fan Yang - 2018 - Educational Philosophy and Theory 51 (1):117-127.
    In an era when individuality has been increasingly emphasized, the development of science and technology has provided technical support for the realization of individuation. However, in an examination-oriented education system, the education model has not attached sufficient importance to individuality. The modern education industry focuses much on the massive production of college degree holders. Student’s unique talents are mostly neglected, and their personality and creativity are not given due consideration in the teaching process. It is time to emphasize individualized teaching (...)
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  10.  45
    Individual differences in metacontrast masking are enhanced by perceptual learning.Thorsten Albrecht, Susan Klapötke & Uwe Mattler - 2010 - Consciousness and Cognition 19 (2):656-666.
    In vision research metacontrast masking is a widely used technique to reduce the visibility of a stimulus. Typically, studies attempt to reveal general principles that apply to a large majority of participants and tend to omit possible individual differences. The neural plasticity of the visual system, however, entails the potential capability for individual differences in the way observers perform perceptual tasks. We report a case of perceptual learning in a metacontrast masking task that leads to the enhancement (...)
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  11.  23
    Learning a Foreign Language: A Review on Recent Findings About Its Effect on the Enhancement of Cognitive Functions Among Healthy Older Individuals.Blanka Klimova - 2018 - Frontiers in Human Neuroscience 12:355309.
    Currently, there is an increasing number of older population groups, especially in developed countries. This demographic trend, however, may cause serious problems, such as an increase in aging diseases, one of which is dementia whose main symptom consists in the decline of cognitive functioning. Although there has been ongoing pharmacological research on this neurological disorder, it has not brought satisfying results as far as its treatment is concerned. Therefore, governments all over the world are trying to develop alternative, non-pharmacological strategies/activities, (...)
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  12. Individual action and collective function: From sociology to multi-agent learning.Ron Sun - manuscript
    Co-learning of multiple agents has been studied in co-learning settings, and how do they help, or many different disciplines under various guises. For hamper, learning and cooperation? example, the issue has been tackled by distributed • How do we characterize the process and the artificial intelligence, parallel and distributed com- dynamics of co-learning, conceptually, mathe- puting, cognitive psychology, social psychology, matically, or computationally? game theory (and other areas of mathematical econ- • how do social structures and (...)
     
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  13.  56
    Fringe consciousness in sequence learning: The influence of individual differences.Elisabeth Norman, Mark C. Price & Simon C. Duff - 2006 - 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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  14.  47
    The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning.Stephan Lewandowsky, Thomas L. Griffiths & Michael L. Kalish - 2009 - Cognitive Science 33 (6):969-998.
    Determining the knowledge that guides human judgments is fundamental to understanding how people reason, make decisions, and form predictions. We use an experimental procedure called ‘‘iterated learning,’’ in which the responses that people give on one trial are used to generate the data they see on the next, to pinpoint the knowledge that informs people's predictions about everyday events (e.g., predicting the total box office gross of a movie from its current take). In particular, we use this method to (...)
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  15. Individual differences in implicit learning: Implications for the evolution of consciousness.Arthur S. Reber & Robert F. Allen - 2000 - In Robert G. Kunzendorf & Benjamin Wallace (eds.), Individual Differences in Conscious Experience. Amsterdam: John Benjamins.
  16.  6
    Motor Learning in Response to Different Experimental Pain Models Among Healthy Individuals: A Systematic Review.Mohammad Izadi, Sae Franklin, Marianna Bellafiore & David W. Franklin - 2022 - Frontiers in Human Neuroscience 16.
    Learning new movement patterns is a normal part of daily life, but of critical importance in both sport and rehabilitation. A major question is how different sensory signals are integrated together to give rise to motor adaptation and learning. More specifically, there is growing evidence that pain can give rise to alterations in the learning process. Despite a number of studies investigating the role of pain on the learning process, there is still no systematic review to (...)
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  17.  16
    Individual and group predictions of item difficulty for free learning.Benton J. Underwood - 1966 - Journal of Experimental Psychology 71 (5):673.
  18.  14
    Individual and sociocultural views of learning in science education.John Leach & Phil Scott - 2003 - Science & Education 12 (1):91-113.
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  19.  21
    Individual differences in learning as a function of shock level.Rachel Kaplan, Stephen Kaplan & Edward L. Walker - 1960 - Journal of Experimental Psychology 60 (6):404.
  20.  13
    An Individual Curve of Learning: a Study in Typewriting.B. M. Towne - 1922 - Journal of Experimental Psychology 5 (2):79.
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  21.  70
    Triple-loop learning as foundation for profound change, individual cultivation, and radical innovation. Construction processes beyond scientific and rational knowledge.Markus F. Peschl - 2007 - Constructivist Foundations 2 (2/3):136-145.
    Purpose: Ernst von Glasersfeld’s question concerning the relationship between scientific/ rational knowledge and the domain of wisdom and how these forms of knowledge come about is the starting point. This article aims at developing an epistemological as well as methodological framework that is capable of explaining how profound change can be brought about in various contexts, such as in individual cultivation, in organizations, in processes of radical innovation, etc. This framework is based on the triple-loop learning strategy and (...)
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  22.  33
    Taste learning in rodents: Compounds and individual taste cues recognition.Milagros Gallo - 2008 - Behavioral and Brain Sciences 31 (1):80-81.
    Contrary to the outstanding simplistic view of the taste system, learning studies show a more complex picture. Behavioral data using conditioned taste preference and aversion tasks support the idea that mixtures involve complex interactions between individual taste cues. Evidence from taste conditioned blocking, taste perceptual learning, and taste learned preferences is considered to support such a view. Greater support for research in taste learning and memory is required for a complete understanding of taste recognition.
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  23.  7
    Individual Optimal Attentional Strategy in Motor Learning Tasks Characterized by Steady-State Somatosensory and Visual Evoked Potentials.Takeshi Sakurada, Masataka Yoshida & Kiyoshi Nagai - 2022 - Frontiers in Human Neuroscience 15.
    Focus of attention is one of the most influential factors facilitating motor performance. Previous evidence supports that the external focus strategy, which directs attention to movement outcomes, is associated with better motor performance than the internal focus strategy, which directs attention to body movements. However, recent studies have reported that the EF strategy is not effective for some individuals. Furthermore, neuroimaging studies have demonstrated that the frontal and parietal areas characterize individual optimal attentional strategies for motor tasks. However, whether (...)
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  24.  5
    Path Learning in Individuals With Down Syndrome: The Challenge of Learning Condition and Cognitive Abilities.Chiara Meneghetti, Enrico Toffalini, Silvia Lanfranchi, Maja Roch & Barbara Carretti - 2021 - Frontiers in Psychology 12.
    Analyzing navigational abilities and related aspects in individuals with Down syndrome is of considerable interest because of its relevance to everyday life. This study investigates path learning, the conditions favoring it, and the cognitive abilities involved. A group of 30 adults with DS and 32 typically-developing children matched on receptive vocabulary were shown a 4 × 4 Floor Matrix and asked to repeat increasingly long sequences of steps by walking on the grid. The sequences were presented under two (...) conditions, one called Oral instructions, the other Observation. Participants were also assessed on verbal and visuospatial cognitive measures. The results showed a similarly better performance in both groups when the Floor Matrix task was administered in the Observation as opposed to the Oral instructions condition. As for the relation with cognitive abilities, in the Floor Matrix task in the Oral instructions condition, individuals with DS showed an effect of both verbal and visuospatial abilities, which was only positive for verbal ability. The effect of verbal and visuospatial abilities was negligible in the TD group. In the Observation condition, performance was predicted by sequential working memory in both groups. Overall, these results shed light on path learning in individuals with DS, showing that they benefited from the Observation condition, and that the involvement of their cognitive abilities depended on the learning condition. (shrink)
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  25.  26
    Developmental Learning Disorders: From Generic Interventions to Individualized Remediation.David Moreau & Karen E. Waldie - 2015 - Frontiers in Psychology 6.
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  26.  35
    Statistical learning in a serial reaction time task: access to separable statistical cues by individual learners.Ruskin H. Hunt & Richard N. Aslin - 2001 - Journal of Experimental Psychology: General 130 (4):658.
  27.  25
    Individual differences in category learning: Sometimes less working memory capacity is better than more.Marci S. DeCaro, Robin D. Thomas & Sian L. Beilock - 2008 - Cognition 107 (1):284-294.
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  28. Learning science in the classroom: Drawing on individual and social perspectives.J. Leach & P. Scott - 2003 - Science & Education 12 (1):91-113.
     
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  29.  10
    Individual differences in artificial and natural language statistical learning.Erin S. Isbilen, Stewart M. McCauley & Morten H. Christiansen - 2022 - Cognition 225 (C):105123.
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  30.  16
    Statistical learning models and individual differences.R. A. Weitzman - 1966 - Psychological Review 73 (4):357-364.
  31.  18
    Learning individual talkers’ structural preferences.Yuki Kamide - 2012 - Cognition 124 (1):66-71.
  32.  48
    Learning for Oneself: Essays on the Individual in Neo-Confucian Thought.Wm Theodore de Bary - 1991 - Columbia University Press.
    Well known as a scholar of Asian culture, de Bary examines the concepts of self-understanding and self-cultivation in neo-Confucian thought from the 12th to the 17th centuries, in relation to the social, political, and scholarly roles of educated men in late imperial China. Rejecting the notion that.
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  33.  13
    Individual Differences in Reward‐Based Learning Predict Fluid Reasoning Abilities.Andrea Stocco, Chantel S. Prat & Lauren K. Graham - 2021 - Cognitive Science 45 (2):e12941.
    The ability to reason and problem‐solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real‐world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self‐generated feedback about progress. We propose that such an ability is underpinned by the basal ganglia nuclei, which are critically tied to both reward processing and cognitive control. This hypothesis was implemented in a neurocomputational (...)
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  34.  8
    Learning from worked‐out examples: A study on individual differences.Alexander Renkl - 1997 - Cognitive Science 21 (1):1-29.
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  35.  27
    Individual differences in attention during category learning.Michael D. Lee & Ruud Wetzels - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 387--392.
  36. Individual differences in reasoning: Implications for the rationality debate?-Open Peer Commentary-Implicit learning of (boundedly) rational behaviour.K. E. Stanovich, R. F. West & D. J. Zizzo - 2000 - Behavioral and Brain Sciences 23 (5):700-700.
     
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  37.  21
    Individual differences and associational strategies within whole-list, mastery paired-associate learning.William M. Timpson, Robert E. Davidson & Frank H. Farley - 1978 - Bulletin of the Psychonomic Society 11 (6):397-398.
  38.  19
    Individual Differences in Relational Learning and Analogical Reasoning: A Computational Model of Longitudinal Change.Leonidas A. A. Doumas, Robert G. Morrison & Lindsey E. Richland - 2018 - Frontiers in Psychology 9.
  39. Passive avoidance learning in individuals with psychopathy: modulation by reward but not by punishment.R. J. R. Blair, D. G. V. Mitchell, A. Leonard, S. Budhani, K. S. Peschardt & C. Newman - 2004 - Personality and Individual Differences 37:1179–1192.
    This study investigates the ability of individuals with psychopathy to perform passive avoidance learning and whether this ability is modulated by level of reinforcement/punishment. Nineteen psychopathic and 21 comparison individuals, as defined by the Hare Psychopathy Checklist Revised (Hare, 1991), were given a passive avoidance task with a graded reinforcement schedule. Response to each rewarding number gained a point reward specific to that number (i.e., 1, 700, 1400 or 2000 points). Response to each punishing number lost a point punishment (...)
     
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  40.  8
    Path Learning in Individuals With Down Syndrome: The Floor Matrix Task and the Role of Individual Visuo-Spatial Measures.Chiara Meneghetti, Enrico Toffalini, Silvia Lanfranchi & Barbara Carretti - 2020 - Frontiers in Human Neuroscience 14.
  41.  12
    Transformative Learning and the Rhythms of Individual and Collective Changes.Michel Alhadeff-Jones - forthcoming - Rhuthmos.
    Ce texte a déjà paru dans Nicolaides, A. & Holt D. , Spaces of Transformation and Transformation of Space, Proceedings of the XIth Transformative Learning Conference. New York : Teachers College, Columbia University, 2014, p. 107-109. Nous remercions Michel Alhadeff-Jones de nous avoir proposé de le reproduire ici. My research around the paradigm of complexity and the temporal and rhythmic dimensions of education - Sociologie – Nouvel article.
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  42.  17
    Human teaching and learning involve cultural communities, not just individuals.Barbara Rogoff - 2015 - Behavioral and Brain Sciences 38.
    Cultural accounts of how people facilitate learning extend beyond the five types of teaching outlined by Kline's target article. Rather than focusing so exclusively on individual teaching, cultural accounts examine the mutually constituting efforts of individuals who are teaching, together with those who are learning. Further, cultural research emphasizes the community contexts of people's arrangements for learning and their teaching/learning interactions.
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  43. The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning.Frank Broz, Chrystopher L. Nehaniv, Tony Belpaeme, Ambra Bisio, Kerstin Dautenhahn, Luciano Fadiga, Tomassino Ferrauto, Kerstin Fischer, Frank Förster, Onofrio Gigliotta, Sascha Griffiths, Hagen Lehmann, Katrin S. Lohan, Caroline Lyon, Davide Marocco, Gianluca Massera, Giorgio Metta, Vishwanathan Mohan, Anthony Morse, Stefano Nolfi, Francesco Nori, Martin Peniak, Karola Pitsch, Katharina J. Rohlfing, Gerhard Sagerer, Yo Sato, Joe Saunders, Lars Schillingmann, Alessandra Sciutti, Vadim Tikhanoff, Britta Wrede, Arne Zeschel & Angelo Cangelosi - 2014 - Topics in Cognitive Science 6 (3):534-544.
    This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. (...)
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  44.  19
    Individual Differences in Children’s Preference to Learn From a Confident Informant.Aimie-Lee Juteau, Isabelle Cossette, Marie-Pier Millette & Patricia Brosseau-Liard - 2019 - Frontiers in Psychology 10.
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  45.  27
    Adaptive social learning strategies in temporally and spatially varying environments.Wataru Nakahashi, Joe Yuichiro Wakano & Joseph Henrich - 2012 - Human Nature 23 (4):386-418.
    Long before the origins of agriculture human ancestors had expanded across the globe into an immense variety of environments, from Australian deserts to Siberian tundra. Survival in these environments did not principally depend on genetic adaptations, but instead on evolved learning strategies that permitted the assembly of locally adaptive behavioral repertoires. To develop hypotheses about these learning strategies, we have modeled the evolution of learning strategies to assess what conditions and constraints favor which kinds of strategies. To (...)
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  46.  24
    Individual Differences in the Accuracy of Judgments of Learning Are Related to the Gray Matter Volume and Functional Connectivity of the Left Mid-Insula.Xiao Hu, Zhaomin Liu, Wen Chen, Jun Zheng, Ningxin Su, Wenjing Wang, Chongde Lin & Liang Luo - 2017 - Frontiers in Human Neuroscience 11.
  47.  17
    Individual Differences in Implicit Learning Implications for the Evolution of Consciousness.Arthur S. Reber Rhianon Allen - 2000 - In Robert G. Kunzendorf & Benjamin Wallace (eds.), Individual Differences in Conscious Experience. Amsterdam: John Benjamins. pp. 227.
  48.  47
    How individual metacognitive awareness relates to situation-specific metacognitive interpretations of collaborative learning tasks.Ahsen Çini, Jonna Malmberg & Sanna Järvelä - forthcoming - Educational Studies:1-22.
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  49.  4
    Editorial: Individual Differences in Cognition and Affects in the Era of Pandemic and Machine Learning.Andrea Vranic, Yang Jiang & Xiaopeng Zhao - 2022 - Frontiers in Psychology 13.
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  50. Individuality in the learning of musical skills.Helena Gaunt & Hallam & Susan - 2008 - In Susan Hallam, Ian Cross & Michael Thaut (eds.), Oxford Handbook of Music Psychology. Oxford University Press.
     
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