Ackermann E. K. (2010) Constructivism(s): Shared roots, crossed paths, multiple legacies. In: Clayson J. & Kalas I. (eds.) Constructionist approaches to creative learning, thinking and education: Lessons for the 21st century. Proceedings of Constructionism 2010. Comenius University, Bratislava: 1–9. https://cepa.info/6082
This paper examines the shared roots and crossed paths between Jean Piaget’s constructivism, what Seymour Paper refers to as “constructionism,” and socio-cultural theories as epitomized by Lev Vygotsky. We do so in the light of more situated, pragmatic, and ecological approaches to human cognition. All these views are developmental (stressing the genesis children’s interests and abilities over time), experiential (in the sense that knowledge is rooted in sensori-motor activity) and interactionist (people are seen as constructing their knowledge by transforming the world). Yet, the views also differ, each highlighting some aspects of how children grow and learn, while leaving other questions unanswered. Piaget’s main contribution was to flesh out what is common in children’s ways of thinking at different stages of their cognitive development and, more important, how consistent, robust, and generally “adapted” their views are. The theory stresses the progressive de-contextualization of knowledge (from here-and-now to then-and-there) and identifies some of the hidden mechanisms (internal reorganizations) that drive human cognitive development. Papert, in contrast, stresses how individuals learn in context and how they use their own – and other people’s – externalizations as objects to think with, especially as their convictions break down. His approach is more situated. Papert is particularly interested the role of new media in human learning. Both Papert and Vygotsky shed light on the articulations between direct and mediated experience (from action and tool-use to enactments, language, and symbol-use). Yet Vygotsky and the Russian school have paid much closer attention to the role of caring adults and peers in a child’s initiation to her culture. They remind us that it takes a whole village to raise a child. Integrating the views helps rethink how children come to make sense of their experiences, and how they find their own places – and voices – in the world. At once world-makers, world-readers, and dwellers in the world, human infants are granted from birth with the abilities to optimize exchanges with people and things by moving in and out of contexts, by shifting perspectives, and by switching roles or standpoint. They are extraordinary learners, and much can be learned from them. Lastly, while mostly inner-driven and curious, children need caring adults, secure grounds, and engaging peers and props to thrive and grow. Tools, media, and cultural artifacts are the tangible forms through which they explore their surrounds, express their thoughts, and share the fun with others – and the traces left by those who came before (cultural heritage) become a terrain for newcomers to create their paths.
This paper explores the theoretical foundations of “constructivism” and “socio-constructivism” which underlie the conception of inquiry-based science teaching. The proposed synthesis aims at disentangling the multiple sources of influence of this approach in science education, which come from the field of psychology of cognitive development, on the one side, and from that of epistemology, on the other. The goal of this paper is also to make explicit what is assumed to be “constructed” by the students during such a teaching, according to the authors under study.
Bächtold M. (2013) What do students “construct” according to constructivism in science education? Research in Science Education 43(6): 2477–2496. https://cepa.info/4653
This paper aims at shedding light on what students can “construct” when they learn science and how this construction process may be supported. Constructivism is a pluralist theory of science education. As a consequence, I support, there are several points of view concerning this construction process. Firstly, I stress that constructivism is rooted in two fields, psychology of cognitive development and epistemology, which leads to two ways of describing the construction process: either as a process of enrichment and/or reorganization of the cognitive structures at the mental level, or as a process of building or development of models or theories at the symbolic level. Secondly, I argue that the usual distinction between “personal constructivism” (PC) and “social constructivism” (SC) originates in a difference of model of reference: the one of PC is Piaget’s description of “spontaneous” concepts, assumed to be constructed by students on their own when interacting with their material environment, the one of SC is Vygotsky’s description of scientific concepts, assumed to be introduced by the teacher by means of verbal communication. Thirdly, I support the idea that, within SC, there are in fact two trends: one, in line with Piaget’s work, demonstrates how cooperation among students affects the development of each individual’s cognitive structures; the other, in line with Vygotsky’s work, claims that students can understand and master new models only if they are introduced to the scientific culture by their teacher. Fourthly, I draw attention to the process of “problem construction” identified by some French authors. Finally, I advocate for an integrated approach in science education, taking into account all the facets of science learning and teaching mentioned above and emphasizing their differences as well as their interrelations. Some suggestions intended to improve the efficiency of science teaching are made.
At the occasion of their fortieth anniversary, the Archives Jean Piaget, a foundation created by Bärbel Inhelder in 1974 for the preservation and promulgation of Piaget’s oeuvre, invited in Geneva ten among the most prominent and influential developmental psychologists to the first Jean Piaget Conferences. Cognitive developmental psychology has undergone radical changes during these last four decades since the last formulations of Piaget’s constructivism. In this double special issue, the invitees of the Jean Piaget Conferences elaborate on their own conception of developmental changes in a variety of domains and functions, offering a comprehensive overview of current theories of cognitive development.
Bonawitz E., Gopnik A., Denison S. & Griffiths T. L. (2012) Rational randomness: The role of sampling in an algorithmic account of preschooler’s causal learning. In: Xu F. & Kushnir T. (eds.) Advances in child development and behavior. Volume 43. Academic Press, Waltham MA: 161–191.
Probabilistic models of cognitive development indicate the ideal solutions to computational problems that children face as they try to make sense of their environment. Under this approach, children’s beliefs change as the result of a single process: observing new data and drawing the appropriate conclusions from those data via Bayesian inference. However, such models typically leave open the question of what cognitive mechanisms might allow the finite minds of human children to perform the complex computations required by Bayesian inference. In this chapter, we highlight one potential mechanism: sampling from probability distributions. We introduce the idea of approximating Bayesian inference via Monte Carlo methods, outline the key ideas behind such methods, and review the evidence that human children have the cognitive prerequisites for using these methods. As a result, we identify a second factor that should be taken into account in explaining human cognitive development the nature of the mechanisms that are used in belief revision.
Brainerd C. J. (2003) Jean Piaget, learning research, and American education. In: Zimmerman B. J. & Schunk D. H. (eds.) Educational psychology: A century of contributions. Erlbaum, Mahwah NJ: 251–287.
Although the core of Jean Piaget’s scientific legacy is his stage model of intellectual ontogenesis and his studies of the reasoning skills that figure in those stages, his impact on education, especially American education, has been vast. Thirty years ago, his theory of cognitive development stimulated revolutionary changes in preschool and elementary school curriculum practices, and in the ensuing decades, Piagetian thought has continued to foment major changes in American education, with the whole language approach to reading instruction being a recent illustration. The aim of the present chapter is to focus attention on those aspects of Piaget’s contributions that have proven to be of greatest significance for educational psychology. The chapter begins with a biographical sketch. The rest of the chapter deals with Piaget’s views on learning. This material is divided into 2 sections. The first section presents Piagetian ideas about the relation between cognitive development and learning, and it summarizes findings from classical experiments that tested those ideas. The second section presents Piagetian ideas about instructional methodology and also summarizes findings from classical experiments that tested those ideas.
Butz M. V. (2008) How and Why the Brain Lays the Foundations for a Conscious Self. Constructivist Foundations 4(1): 1–14 & 32–37. https://constructivist.info/4/1/001
Purpose: Constructivism postulates that the perceived reality is a complex construct formed during development. Depending on the particular school, these inner constructs take on different forms and structures and affect cognition in different ways. The purpose of this article is to address the questions of how and, even more importantly, why we form such inner constructs. Approach: This article proposes that brain development is controlled by an inherent anticipatory drive, which biases learning towards the formation of forward predictive structures and inverse goal-oriented control structures. This drive, in combination with increasingly complex environmental interactions during cognitive development, enforces the structuring of our conscious self, which is embedded in a constructed inner reality. Essentially, the following questions are addressed: Which basic mechanisms lead us to the construction of inner realities? How are these emergent inner realities structured? How is the self represented within the inner realities? And consequently, which cognitive structures constitute the media for conscious thought and selfconsciousness? Findings: Due to the anticipatory drive, representations in the brain shape themselves predominantly purposefully or intentionally. Taking a developmental, evolutionary perspective, we show how the brain is forced to develop progressively complex and abstract representations of the self embedded in the constructed inner realities. These self representations can evoke different stages of self-consciousness. Implications: The anticipatory drive shapes brain structures and cognition during the development of progressively more complex, competent, and flexible goal-oriented bodyenvironment interactions. Self-consciousness develops because increasingly abstract, individualizing self representations are necessary to realize these progressively more challenging environmental interactions.
Cakir M. (2008) Constructivist approaches to learning in science and their implications for science pedagogy: A literature review. International Journal of Environmental & Science Education 3(4): 193–206. https://cepa.info/3848
This paper draws attention to the literature in the areas of learning, specifically, constructivism, conceptual change and cognitive development. It emphasizes the contribution of such research to our understanding of the learning process. This literature provides guidelines for teachers, at all levels, in their attempt to have their students achieve learning with understanding. Research about the constructive nature of students’ learning processes, about students’ mental models, and students’ misconceptions have important implications for teachers who wish to model scientific reasoning in an effective fashion for their students. This paper aims to communicate this research to teachers, textbook authors, and college professors who involved in the preparation of science teachers. This paper is divided into two major parts. The first part concentrates on a critical review of the three most influential learning theories and constructivist view of learning and discusses the foundation upon which the constructivist theory of learning has been rooted. It seeks an answer to the question of “What are some guiding principles of constructivist thinking that we must keep in mind when we consider our role as science teachers?.” The second part of this paper moves toward describing the nature of students’ alternative conceptions, the ways of changing cognitive structure, and cognitive aspects of learning and teaching science.
Cakir M. (2008) Constructivist approaches to learning in science and their implications for science pedagogy: A literature review. International Journal of Environmental & Science Education Vol. 3. 3, July 2008, 193–206. https://cepa.info/3081
This paper draws attention to the literature in the areas of learning, specifically, constructivism, conceptual change and cognitive development. It emphasizes the contribution of such research to our understanding of the learning process. This literature provides guidelines for teachers, at all levels, in their attempt to have their students achieve learning with understanding. Research about the constructive nature of students’ learning processes, about students’ mental models, and students’ misconceptions have important implications for teachers who wish to model scientific reasoning in an effective fashion for their students. This paper aims to communicate this research to teachers, textbook authors, and college professors who involved in the preparation of science teachers. This paper is divided into two major parts. The first part concentrates on a critical review of the three most influential learning theories and constructivist view of learning and discusses the foundation upon which the constructivist theory of learning has been rooted. It seeks an answer to the question of “What are some guiding principles of constructivist thinking that we must keep in mind when we consider our role as science teachers?.” The second part of this paper moves toward describing the nature of students’ alternative conceptions, the ways of changing cognitive structure, and cognitive aspects of learning and teaching science.
Christensen W. D. & Hooker C. A. (2000) An interactivist-constructivist approach to intelligence: Self-directed anticipative learning. Philosophical Psychology 13(1): 5–45. https://cepa.info/4156
This paper outlines an original interactivist–constructivist (I-C) approach to modelling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realized in the brain. Two key ideas for conceptualizing intelligence within this framework are developed. These are: (1) intelligence is centrally concerned with the capacity for coherent, context-sensitive, self-directed management of interaction; and (2) the primary model for cognitive learning is anticipative skill construction. Self-directedness is a capacity for integrative process modulation which allows a system to “steer” itself through its world by anticipatively matching its own viability requirements to interaction with its environment. Because the adaptive interaction processes required of intelligent systems are too complex for effective action to be prespecified (e.g. genetically) learning is an important component of intelligence. A model of self-directed anticipative learning (SDAL) is formulated based on interactive skill construction, and argued to constitute a central constructivist process involved in cognitive development. SDAL illuminates the capacity of intelligent learners to start with the vague, poorly defined problems typically posed in realistic learning situations and progressively refine them, transforming them into problems with sufficient structure to guide the construction of a solution. Finally, some of the implications of I-C for modelling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski’s recent neural constructivism paradigm, enriched by Montague and Sejnowski’s dopaminergic model of anticipative–predictive neural learning, is assessed as a promising, but incomplete, contribution to this approach. The paper concludes with a fourfold reflection on the divergence in cognitive modelling philosophy between the I-C and the traditional computational information processing approaches.