Results for ' Mathematical learning'

987 found
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  1.  8
    Children With Mathematical Learning Difficulties Are Sluggish in Disengaging Attention.Xiaoxian Zhang, Wanlu Fu, Licheng Xue, Jing Zhao & Zhiguo Wang - 2019 - Frontiers in Psychology 10:424953.
    Mathematical learning difficulties (MLD) refer to a variety of deficits in math skills, typically pertaining to the domains of arithmetic and problem solving. The present study examined the time course of attentional orienting in MLD children with a spatial cueing task, by parametrically manipulating the cue-target onset asynchrony (CTOA). The results of Experiment 1 revealed that, in contrast to typical developing children, the inhibitory aftereffect of attentional orienting—frequently referred to as inhibition of return (IOR)—was not observed in the (...)
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  2.  41
    Hand Gesture and Mathematics Learning: Lessons From an Avatar.Susan Wagner Cook, Howard S. Friedman, Katherine A. Duggan, Jian Cui & Voicu Popescu - 2016 - Cognitive Science 40 (7):518-535.
    A beneficial effect of gesture on learning has been demonstrated in multiple domains, including mathematics, science, and foreign language vocabulary. However, because gesture is known to co-vary with other non-verbal behaviors, including eye gaze and prosody along with face, lip, and body movements, it is possible the beneficial effect of gesture is instead attributable to these other behaviors. We used a computer-generated animated pedagogical agent to control both verbal and non-verbal behavior. Children viewed lessons on mathematical equivalence in (...)
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  3.  16
    Hand Gesture and Mathematics Learning: Lessons From an Avatar.Susan Wagner Cook, Howard S. Friedman, Katherine A. Duggan, Jian Cui & Voicu Popescu - 2017 - Cognitive Science 41 (2):518-535.
    A beneficial effect of gesture on learning has been demonstrated in multiple domains, including mathematics, science, and foreign language vocabulary. However, because gesture is known to co‐vary with other non‐verbal behaviors, including eye gaze and prosody along with face, lip, and body movements, it is possible the beneficial effect of gesture is instead attributable to these other behaviors. We used a computer‐generated animated pedagogical agent to control both verbal and non‐verbal behavior. Children viewed lessons on mathematical equivalence in (...)
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  4.  25
    The usefulness of mathematical learning explained and demonstrated: being mathematical lectures read in the publick schools at the University of Cambridge.Isaac Barrow - 1734 - London,: Cass.
    (I) MATHEMATICAL LECTURES. LECTURE I. Of the Name and general Division of the Mathematical Sciences. BEING about to treat upon the Mathematical Sciences, ...
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  5.  8
    Self-regulated learning, online mathematics learning engagement, and perceived academic control among Chinese junior high school students during the COVID-19 pandemic: A latent profile analysis and mediation analysis.Wenwu Dai, Zhaolan Li & Ning Jia - 2022 - Frontiers in Psychology 13.
    ObjectivesUnder the COVID-19 prevention and control policy, online learning has been widely used. The current study aimed to identify latent profiles of self-regulated learning in the context of online mathematics learning during the recurrent outbreak of COVID-19, and examine the mechanisms underlying the relationship between self-regulated learning and online mathematics learning engagement among Chinese junior high school students using variable-and person-centered approaches.MethodsA sample of 428 Chinese junior high school students completed questionnaires on self-regulated learning, (...)
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  6. Analogical reasoning and early mathematics learning.Patricia A. Alexander, C. Stephen White & Martha Daugherty - 1997 - In Lyn D. English (ed.), Mathematical Reasoning: Analogies, Metaphors, and Images. L. Erlbaum Associates. pp. 117--147.
  7.  4
    A turning point in mathematical learning theory.Gordon H. Bower - 1994 - Psychological Review 101 (2):290-300.
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  8.  22
    Mathematics The Usefulness of Mathematical Learning explained and demonstrated: Being Mathematical Lectures read in the Publick Schools at the University.… Translated by… John Kirkby . By Isaac Barrow. Reprint. London: Frank Cass, 1970. Pp. xxxii + 456. £7.35. [REVIEW]D. T. Whiteside - 1972 - British Journal for the History of Science 6 (1):86-88.
  9.  12
    Distributed Practice: Rarely Realized in Self-Regulated Mathematical Learning.Katharina Barzagar Nazari & Mirjam Ebersbach - 2018 - Frontiers in Psychology 9.
    The purpose of the present study was to investigate the effect and use of distributed practice in the context of self-regulated mathematical learning in high school. With distributed practice, a fixed learning duration is spread over several sessions, whereas with massed practice, the same time is spent learning in one session. Distributed practice has been proven to be an effective tool for improving long-term retention of verbal material and simple procedural knowledge in mathematics, at least when (...)
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  10.  47
    Basic numerical skills in children with mathematics learning disabilities: A comparison of symbolic vs non-symbolic number magnitude processing.Laurence Rousselle & Marie-Pascale Noël - 2007 - Cognition 102 (3):361-395.
  11. Constructivist perspectives on science and mathematics learning.Grayson H. Wheatley - 1991 - Science Education 75 (1):9-21.
  12.  32
    Learning to Represent: Mathematics-first accounts of representation and their relation to natural language.David Wallace - unknown
    I develop an account of how mathematized theories in physics represent physical systems, in response to the frequent claim that any such account must presuppose a non-mathematized, and usually linguistic, description of the system represented. The account I develop contains a circularity, in that representation is a mathematical relation between the models of a theory and the system as represented by some other model --- but I argue that this circularity is not vicious, in any case refers in linguistic (...)
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  13.  16
    Platonism and the Proto-ontology of Mathematics: Learning from the Axiom of Choice.Carl J. Posy - 2023 - In Carl Posy & Yemima Ben-Menahem (eds.), Mathematical Knowledge, Objects and Applications: Essays in Memory of Mark Steiner. Springer. pp. 99-134.
    Benacerraf’s Problem about mathematical truth displays a tension, indeed a seemingly unbridgeable gap, between Platonist foundations for mathematics on the one hand and Hilbert’s ‘finitary standpoint’ on the other. While that standpoint evinces an admirable philosophical unity, it is ultimately an effete rival to Platonism: It leaves mathematical practice untouched, even the highly non-constructive axiom of choice. Brouwer’s intuitionism is a more potent finitist rival, for it engenders significant deviation from standard (classical) mathematics. The essay illustrates three sorts (...)
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  14.  88
    What can the Philosophy of Mathematics Learn from the History of Mathematics?Brendan Larvor - 2008 - Erkenntnis 68 (3):393-407.
    This article canvasses five senses in which one might introduce an historical element into the philosophy of mathematics: 1. The temporal dimension of logic; 2. Explanatory Appeal to Context rather than to General Principles; 3. Heraclitean Flux; 4. All history is the History of Thought; and 5. History is Non-Judgmental. It concludes by adapting Bernard Williams’ distinction between ‘history of philosophy’ and ‘history of ideas’ to argue that the philosophy of mathematics is unavoidably historical, but need not and must not (...)
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  15.  41
    What can the history of mathematics learn from philosophy? A case study in Newton’s presentation of the calculus.R. Corby Hovis - 1989 - Philosophia Mathematica (1):35-57.
    One influential interpretation of Newton's formulation of his calculus has regarded his work as an organized, cohesive presentation, shaped primarily by technical issues and implicitly motivated by a knowledge of the form which a "finished" calculus should take. Offered as an alternative to this view is a less systematic and more realistic picture, in which both philosophical and technical considerations played a part in influencing the structure and interpretation of the calculus throughout Newton's mathematical career. This analysis sees the (...)
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  16. Reasoning with Metaphors and Metonymies in Mathematics Learning.Norma C. Presmeg - 1997 - In Lyn D. English (ed.), Mathematical Reasoning: Analogies, Metaphors, and Images. Lawrence Erlbaum Associates, Inc., Publishers. pp. 267--279.
     
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  17.  18
    Response-To-Intervention in Finland and the United States: Mathematics Learning Support as an Example.Piia M. Björn, Mikko Aro, Tuire Koponen, Lynn S. Fuchs & Douglas Fuchs - 2018 - Frontiers in Psychology 9.
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  18. Learning Motivation and Utilization of Virtual Media in Learning Mathematics.Almighty Tabuena & Jupeth Pentang - 2021 - Asia-Africa Journal of Recent Scientific Research 1 (1):65-75.
    This study aims to describe the learning motivation of students using virtual media when they are learning mathematics in grade 5. The research design applied in this research is classroom action research. The research is conducted in two phases which involve planning, action and observation and reflection. The results of the study revealed that intrinsic motivation to learn is most prevalent in the form of fun to learn mathematics with virtual media. Other forms of intrinsic motivation include curiosity, (...)
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  19.  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 (...)
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  20. VALIDITY: A Learning Game Approach to Mathematical Logic.Steven James Bartlett - 1973 - Hartford, CT: Lebon Press. Edited by E. J. Lemmon.
    The first learning game to be developed to help students to develop and hone skills in constructing proofs in both the propositional and first-order predicate calculi. It comprises an autotelic (self-motivating) learning approach to assist students in developing skills and strategies of proof in the propositional and predicate calculus. The text of VALIDITY consists of a general introduction that describes earlier studies made of autotelic learning games, paying particular attention to work done at the Law School of (...)
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  21. Mathematical methods in deep learning.Srinivasa M. Upadhyayula & Kannan Venkataramanan - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
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  22. Perceptual Learning Modules in Mathematics: Enhancing Students' Pattern Recognition, Structure Extraction, and Fluency.Philip J. Kellman, Christine M. Massey & Ji Y. Son - 2010 - Topics in Cognitive Science 2 (2):285-305.
  23.  7
    The science of learning mathematical proofs: an introductory course.Elana Reiser - 2021 - New Jersey: World Scientific.
    College students struggle with the switch from thinking of mathematics as a calculation based subject to a problem solving based subject. This book describes how the introduction to proofs course can be taught in a way that gently introduces students to this new way of thinking. This introduction utilizes recent research in neuroscience regarding how the brain learns best. Rather than jumping right into proofs, students are first taught how to change their mindset about learning, how to persevere through (...)
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  24.  37
    Learning from Euler. From Mathematical Practice to Mathematical Explanation.Daniele Molinini - 2012 - Philosophia Scientiae 16 (1):105-127.
    Dans son « Découverte d'un nouveau principe de mécanique » (1750) Euler a donné, pour la première fois, une preuve du théorème qu'on appelle aujourd'hui le Théorème d'Euler. Dans cet article je vais me concentrer sur la preuve originale d'Euler, et je vais montrer comment la pratique mathématique d Euler peut éclairer le débat philosophique sur la notion de preuves explicatives en mathématiques. En particulier, je montrerai comment l'un des modèles d'explication mathématique les plus connus, celui proposé par Mark Steiner (...)
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  25.  19
    Learning from Euler. From Mathematical Practice to Mathematical Explanation.Daniele Molinini - 2012 - Philosophia Scientiae 16:105-127.
    Dans son « Découverte d'un nouveau principe de mécanique » (1750) Euler a donné, pour la première fois, une preuve du théorème qu'on appelle aujourd'hui le Théorème d'Euler. Dans cet article je vais me concentrer sur la preuve originale d'Euler, et je vais montrer comment la pratique mathématique d Euler peut éclairer le débat philosophique sur la notion de preuves explicatives en mathématiques. En particulier, je montrerai comment l'un des modèles d'explication mathématique les plus connus, celui proposé par Mark Steiner (...)
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  26. How we learn mathematical language.Vann McGee - 1997 - Philosophical Review 106 (1):35-68.
    Mathematical realism is the doctrine that mathematical objects really exist, that mathematical statements are either determinately true or determinately false, and that the accepted mathematical axioms are predominantly true. A realist understanding of set theory has it that when the sentences of the language of set theory are understood in their standard meaning, each sentence has a determinate truth value, so that there is a fact of the matter whether the cardinality of the continuum is א2 (...)
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  27.  67
    A mathematical model for simple learning.Robert R. Bush & Frederick Mosteller - 1951 - Psychological Review 58 (5):313-323.
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  28.  73
    How We Learn Mathematical Language.Vann McGee - 1997 - Philosophical Review 106 (1):35-68.
    Mathematical realism is the doctrine that mathematical objects really exist, that mathematical statements are either determinately true or determinately false, and that the accepted mathematical axioms are predominantly true. A realist understanding of set theory has it that when the sentences of the language of set theory are understood in their standard meaning, each sentence has a determinate truth value, so that there is a fact of the matter whether the cardinality of the continuum is א2 (...)
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  29. Paradox And Learning: Implications From Paradoxical Psychotherapy And Zen Buddhism For Mathematical Inquiry With Paradoxes.Nadia Kennedy - 2006 - Childhood and Philosophy 2 (4):369-391.
    This paper argues that paradox offers an ideal didactic context for open-ended group discussion, for the intensive practice of reasoning, acquiring dispositions critical for mathematical thinking, and higher order learning. In order to characterize the full pedagogical range of paradox, I offer a short overview of the effects of paradox, followed by a discussion of some parallels between the use of paradox in paradoxical psychotherapy and the use of the koan in Zen Buddhist spiritual training. Reasoning with paradoxes (...)
     
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  30.  67
    Learning Logical Tolerance: Hans Hahn on the Foundations of Mathematics.Thomas E. Uebel - 2005 - History and Philosophy of Logic 26 (3):175-209.
    Hans Hahn's long-neglected philosophy of mathematics is reconstructed here with an eye to his anticipation of the doctrine of logical pluralism. After establishing that Hahn pioneered a post-Tractarian conception of tautologies and attempted to overcome the traditional foundational dispute in mathematics, Hahn's and Carnap's work is briefly compared with Karl Menger's, and several significant agreements or differences between Hahn's and Carnap's work are specified and discussed.
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  31.  51
    Mathematical Fuzzy Logic – What It Can Learn from Mostowski and Rasiowa.Petr Hájek - 2006 - Studia Logica 84 (1):51-62.
    Important works of Mostowski and Rasiowa dealing with many-valued logic are analyzed from the point of view of contemporary mathematical fuzzy logic.
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  32.  15
    Corrigendum: Learning mathematics in two dimensions: a review and look ahead at teaching and learning early childhood mathematics with children's literature.Lucia M. Flevares & Jamie R. Schiff - 2014 - Frontiers in Psychology 5.
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  33.  11
    Mathematical formulations of learning phenomena.Kenneth W. Spence - 1952 - Psychological Review 59 (2):152-160.
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  34.  12
    A mathematical model and an electronic model for learning.L. Benjamin Wyckoff - 1954 - Psychological Review 61 (2):89-97.
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  35.  11
    Digital Learning Games for Mathematics and Computer Science Education: The Need for Preregistered RCTs, Standardized Methodology, and Advanced Technology.Lara Bertram - 2020 - Frontiers in Psychology 11.
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  36.  7
    Interleaved Learning in Elementary School Mathematics: Effects on the Flexible and Adaptive Use of Subtraction Strategies.Lea Nemeth, Katharina Werker, Julia Arend, Sebastian Vogel & Frank Lipowsky - 2019 - Frontiers in Psychology 10.
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  37.  5
    Comorbid Learning Difficulties in Reading and Mathematics: The Role of Intelligence and In-Class Attentive Behavior.David C. Geary, Mary K. Hoard, Lara Nugent, Zehra E. Ünal & John E. Scofield - 2020 - Frontiers in Psychology 11.
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  38.  27
    iMinerva: A Mathematical Model of Distributional Statistical Learning.Erik D. Thiessen & Philip I. Pavlik - 2013 - Cognitive Science 37 (2):310-343.
    Statistical learning refers to the ability to identify structure in the input based on its statistical properties. For many linguistic structures, the relevant statistical features are distributional: They are related to the frequency and variability of exemplars in the input. These distributional regularities have been suggested to play a role in many different aspects of language learning, including phonetic categories, using phonemic distinctions in word learning, and discovering non-adjacent relations. On the surface, these different aspects share few (...)
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  39.  7
    Learning in mathematically-based domains: Understanding and generalizing obstacle cancellations.Jude W. Shavlik & Gerald F. DeJong - 1990 - Artificial Intelligence 45 (1-2):1-45.
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  40. Enriching Mathematics: Reflections On Building A Learning Community.Cathy Smith & Jennifer Piggott - 2007 - Philosophy of Mathematics Education Journal 22.
  41.  53
    Movement, Memory and Mathematics: Henri Bergson and the Ontology of Learning.Elizabeth de Freitas & Francesca Ferrara - 2014 - Studies in Philosophy and Education 34 (6):565-585.
    Using the work of philosopher Henri Bergson to examine the nature of movement and memory, this article contributes to recent research on the role of the body in learning mathematics. Our aim in this paper is to introduce the ideas of Bergson and to show how these ideas shed light on mathematics classroom activity. Bergson’s monist philosophy provides a framework for understanding the materiality of both bodies and mathematical concepts. We discuss two case studies of classrooms to show (...)
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  42. Teaching and Learning Guide for: Explanation in Mathematics: Proofs and Practice.William D'Alessandro - 2019 - Philosophy Compass 14 (11):e12629.
    This is a teaching and learning guide to accompany "Explanation in Mathematics: Proofs and Practice".
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  43.  7
    How Prior Knowledge, Gesture Instruction, and Interference After Instruction Interact to Influence Learning of Mathematical Equivalence.Susan Wagner Cook, Elle M. D. Wernette, Madison Valentine, Mary Aldugom, Todd Pruner & Kimberly M. Fenn - 2024 - Cognitive Science 48 (2):e13412.
    Although children learn more when teachers gesture, it is not clear how gesture supports learning. Here, we sought to investigate the nature of the memory processes that underlie the observed benefits of gesture on lasting learning. We hypothesized that instruction with gesture might create memory representations that are particularly resistant to interference. We investigated this possibility in a classroom study with 402 second‐ and third‐grade children. Participants received classroom‐level instruction in mathematical equivalence using videos with or without (...)
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  44.  33
    Stereotype Threat Effects on Learning From a Cognitively Demanding Mathematics Lesson.Emily McLaughlin Lyons, Nina Simms, Kreshnik N. Begolli & Lindsey E. Richland - 2018 - Cognitive Science 42 (2):678-690.
    Stereotype threat—a situational context in which individuals are concerned about confirming a negative stereotype—is often shown to impact test performance, with one hypothesized mechanism being that cognitive resources are temporarily co-opted by intrusive thoughts and worries, leading individuals to underperform despite high content knowledge and ability. We test here whether stereotype threat may also impact initial student learning and knowledge formation when experienced prior to instruction. Predominantly African American fifth-grade students provided either their race or the date before a (...)
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  45.  14
    An investigation of some mathematical models for learning.Curt F. Fey - 1961 - Journal of Experimental Psychology 61 (6):455.
  46.  27
    Movement, Memory and Mathematics: Henri Bergson and the Ontology of Learning.Michael A. Peters & Gert Biesta - 2015 - Studies in Philosophy and Education 34 (6):565-585.
    Using the work of philosopher Henri Bergson to examine the nature of movement and memory, this article contributes to recent research on the role of the body in learning mathematics. Our aim in this paper is to introduce the ideas of Bergson and to show how these ideas shed light on mathematics classroom activity. Bergson’s monist philosophy provides a framework for understanding the materiality of both bodies and mathematical concepts. We discuss two case studies of classrooms to show (...)
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  47.  39
    Outsiders enabling scientific change: learning from the sociohistory of a mathematical proof.Line Edslev Andersen - 2017 - Social Epistemology 31 (2):184-191.
    It has been a common belief among scientists, including mathematicians, that young scientists are especially good at bringing about scientific change. A number of studies suggest, however, that older scientists are not more resistant to change than young scientists are. It is nonetheless worth examining why a scientist’s or mathematician’s outsider status – due to age, educational background, or something else – can sometimes be effective in enabling scientific change. This paper focuses on the case of the solving of the (...)
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  48.  11
    “Being Together” in Learning: A School Leadership Case Study Evoking the Relational Essence of Learning Design at the Australian Science and Mathematics School.Andrew Bills & Nigel Howard - 2019 - Indo-Pacific Journal of Phenomenology 19 (1):11-28.
    In this report on an interview-based school case study undertaken with seven school leaders using component theory analysis and the hermeneutic method, we reveal the relational essence of learning design at the Australian Science and Mathematics School. The phenomenon of learning togetherness presents, forged by deliberately practised notions of contributive leadership within open learning spaces and ongoing attention to new interdisciplinary curriculum forms. This case study highlights the phenomenological nature of a school that has been deliberately purposed (...)
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  49. Mental, physical, and mathematical models in the teaching and learning of physics.Ileana Maria Greca & Marco Antonio Moreira - 2002 - Science Education 86 (1):106-121.
     
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  50.  26
    Executive function in learning mathematics by comparison: incorporating everyday classrooms into the science of learning.Kreshnik Nasi Begolli, Lindsey Engle Richland, Susanne M. Jaeggi, Emily McLaughlin Lyons, Ellen C. Klostermann & Bryan J. Matlen - 2018 - Thinking and Reasoning 24 (2):280-313.
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