Bettencourt A. (1993) The construction of knowledge: A radical constructivist view. In: Tobin K. (ed.) The practice of constructivism in science education. Lawrence Erlbaum Associates, Hillsdale NJ: 39–50. https://cepa.info/3065
Expressions like “constructivism,” “construction of knowledge,” “learners construct meaning,” and similar ones are starting to become part of the language of science education. We are liable to hear them in professional meetings or inservice workshops and to read them in articles in the professional journals. As the term constructivism becomes more widespread, different people tend to use it with slightly different meanings, and some use it in a loose way to designate a complex of different pedagogical, psychological, or philosophical tendencies. (The ideas about constructivism explained in this chapter are in no way to be taken as an attempt to define the “orthodoxy” of constructivism. Consistent with a constructivist view, they are simply a model of what it means to know. The claim of this model is to be a viable view of knowledge. This chapter aims at presenting the model and exploring from there some relations with teaching and learning of science.) These tendencies seem to have in common the central assumption that all we come to know is our own construction.
Dennett D. C. (1993) Review of The Embodied Mind: Cognitive Science and Human Experience by Francisco J. Varela, Evan Thompson, and Eleanor Rosch. The American Journal of Psychology 106(1): 121–126. https://cepa.info/5077
Cognitive science, as an interdisciplinary school of thought, may have recently moved beyond the bandwagon stage onto the throne of orthodoxy, but it does not make a favorable first impression on many people. Familiar reactions on first encounters range from revulsion to condescending dismissal – very few faces in the crowd light up with the sense of “Aha! So that’s how the mind works! Of course! ” Cognitive science leaves something out, it seems; moreover, what it apparently leaves out is important, even precious. Boiled down to its essence, cognitive science proclaims that in one way or another our minds are computers, and this seems so mechanistic, reductionistic, intellectualistic, dry, philistine, unbiological. It leaves out emotion, or what philosophers call qualia, or value, or mattering, or… the soul. It doesn’t explain what minds are so much as attempt to explain minds away.
Feiten T. E. (2020) Mind after Uexküll: A foray into the worlds of ecological psychologists and enactivists. Frontiers in Psychology 11: 480. https://cepa.info/6628
For several decades, a diverse set of approaches to embedded, embodied, extended, enactive and affective cognition has been challenging the cognitivist orthodoxy. Recently, the prospect of a combination of ecological psychology and enactivism has emerged as a promising candidate for a single unified framework that could rival the established cognitivist paradigm as “a working metatheory for the study of minds” (Baggs and Chemero, 2018, p. 11). One obstacle to such an ecological-enactive approach is the conceptual tension between the firm commitment to realism of those following James Gibson’s ecological approach and the central tenet of enactivism that each living organism enacts its own world, interpreted as a constructivist or subjectivist position. Baggs and Chemero (2018) forward the concept of Umwelt, coined by the biologist Jakob von Uexküll, as a conceptual bridge between the two approaches. Inspired by Kant, Uexküll’s Umwelt describes how the physiology of an organism’s sensory apparatus shapes its active experience of the environment. Baggs and Chemero use this link between the subject and its objective surroundings to argue for a strong compatibility between ecological psychology and enactivism. Fultot and Turvey on the other hand view Umwelt as steeped in representationalism, the rejection of which is a fundamental commitment of radical embodied cognition (Fultot and Turvey, 2019). Instead, they advance Uexküll’s “compositional theory of nature” as a conceptual supplement for Gibson’s ecological approach (von Uexküll, 2010, p. 171; Fultot and Turvey, 2019). In this paper, I provide a brief overview of Uexküll’s thought and distinguish a crucial difference between two ways of using his term Umwelt. I argue that only one of these ways, the one which emphasizes the role of subjective experience, is adequate to Uexküll’s philosophical project. I demonstrate how the two ways of using Umwelt are employed in the philosophy of cognitive science, show how this distinction matters to recent debates about an ecological-enactive approach, and provide some critical background to Uexküll’s compositional theory of meaning.
The concept of consciousness has been the source of much confusion over the past two decades. Current orthodoxy in ‘consciousness studies’ has it that the key to understanding the concept of consciousness is to grasp the idea of qualia. But the appearance of mystery here is the product of conceptual confusion. There is nothing to ‘the qualitative character of experience’ beyond the individual character of a specific experience and how the subject felt in undergoing it, and here there are no mysteries beyond empirical ignorance and conceptual mystification.
Kravchenko A. (2011) How Humberto Maturana’s Biology of Cognition Can Revive the Language Sciences. Constructivist Foundations 6(3): 352–362. https://constructivist.info/6/3/352
Purpose: This paper demonstrates the conceptual relevance of Maturana’s biology of cognition for the theoretical foundations of the language sciences. Approach: Stuck in rationalizing, rather than naturalizing, language, modern orthodox linguistics is incapable of offering a comprehensible account of language as a species-specific, biologically grounded human feature. This predicament can be overcome by using Maturana’s theory to stress that lived experience gives language an epistemological “lining.” Findings: The key concepts of Maturana’s biology of cognition provide a more coherent theoretical framework for the study of language that can give new life to the language sciences by stressing languaging and the importance of connotation. Conclusion: Maturana’s concept of “languaging” allows the language sciences to depart from the view of language as a system of symbols. Instead, focus should be placed on how the relational dynamics of linguistic interactions trigger changes in the dynamics of the nervous system and the organism as a whole, and how their reciprocal causality is distinguished and described by the languaging observer in terms of mind, intelligence, reason, and self-consciousness.
Larochelle M. & Désautels J. (2009) Constructivism and the “Great Divides”. Constructivist Foundations 4(2): 91–99. https://constructivist.info/4/2/091
Context: To speak of constructivism – and in particular of radical constructivism – in education is to place oneself on a field which, like any other academic field, is the scene of tensions, debates, and indeed battles. While such controversies are, predictably enough, fought out between the partisans of constructivism and those defending other theses, they are also fought out between the constructivists themselves, as a number of group works have brought out (e.g., Steffe & Gale 1995; SRED 2001). In other words, constructivists do not express their views in unison whenever there is a question on the development of knowledge (an individual or collective matter?), the underpinnings of knowledge (be they of a psychological, sociological or other type) or, as humorously noted by Quale (2007), that “sin” which is said to consist in the relativist mode of questioning or critique authorized by constructivism. Purpose: In this paper, we would like to contribute to this discussion and to this plurality of ways of embedding oneself in constructivism, in particular by bringing out (as was so acutely shown by Ernst von Glasersfeld 1987a, 1995, 2007) that while constructivism offers a basis on which to revisit the question of knowledge, its contributions nevertheless extend well beyond this single preoccupation. By reincorporating “the properties of the observer” into his or her discourse as well as the conditions, stakes and issues surrounding the utterance in question, in short, by reincorporating the question of power into the utterance-making, constructivism also provides a basis for revisiting the “Great Divides” – that is, the (unequal) relationships between the various forms of knowledge as well as the (unequal) modes of evidence and authority that accompany these relations. Method: Through an examination of three topics, that is the “racism” of intelligence, the Semmelweis affair, and the question of endogenous knowledge, we will attempt to explicate various insights afforded by constructivism. Conclusion: So doing, we will show that radical constructivism, in its recognition of the plurality of possible modes of description and explanation, contributes to a form of epistemological democracy.
Walsh K. S., McGovern D. P., Clark A. & O\Connell R. G. (2020) Evaluating the neurophysiological evidence for predictive processing as a model of perception. Annals of the new York Academy of Sciences 1464(1): 242–268. https://cepa.info/7840
For many years, the dominant theoretical framework guiding research into the neural origins of perceptual experience has been provided by hierarchical feedforward models, in which sensory inputs are passed through a series of increasingly complex feature detectors. However, the long-standing orthodoxy of these accounts has recently been challenged by a radically different set of theories that contend that perception arises from a purely inferential process supported by two distinct classes of neurons: those that transmit predictions about sensory states and those that signal sensory information that deviates from those predictions. Although these predictive processing (PP) models have become increasingly influential in cognitive neuroscience, they are also criticized for lacking the empirical support to justify their status. This limited evidence base partly reflects the considerable methodological challenges that are presented when trying to test the unique predictions of these models. However, a confluence of technological and theoretical advances has prompted a recent surge in human and nonhuman neurophysiological research seeking to fill this empirical gap. Here, we will review this new research and evaluate the degree to which its findings support the key claims of PP.