Evaluative learning refers to the change in the affective evaluation of a previously neutral stimulus that occurs after the stimulus has been associated with a second, positive or negative, affective stimulus . Four experiments are reported in which the AS was presented very briefly. Significant evaluative learning was observed in participants who did not notice the presentation of the affective stimuli or could not discriminate between the briefly presented positive and negative ASi when asked to do so . (...) In two other experiments , no significant learning effect was obtained. A meta-analysis performed on the present and previously reported results gave evidence for a small, though statistically reliable evaluative learning effect when ASi are presented “subliminally.” This finding supports the hypothesis that evaluative associations can be learned implicitly. (shrink)

Following on from the target article, which presented a new model of procedural skill memory development, in this response I will reflect on issues raised by invited commentators and further expound attributes of the model. Discussion will focus on: evidence against sleep-dependent memory processing, definitions of memory stages and memory systems, and relationships between memory enhancement, sleep-stages, dreaming, circadian time, and sleep-disorders.

This paper is an argument to the effect that a certain view about mental representing, together with some very liberal constraints on the brain as a dynamic system, entails that the organism will tend to form adaptive mental representations of its environment. To show this, it will first be argued that although mental representing is a common thing indeed, representationalism, in the most important sense of that term (indirect representationalism), is false. Three different views about pictorial thinking (mental imagery, intuitive (...) representing) are then contrasted, two of which are tied to this brand of representationalism and one of which is not. The latter view, versions of which have sometimes been presented as ”simulation” theories of imagery, is here generalised to cover all kinds of mental representation. Two models of the brain are then presented in which learning of adaptive representations follows from this theory together with certain biologically plausible constraints. (shrink)

This study investigated visual statistical learning (VSL) in 24 deaf signers and 24 hearing non‐signers. Previous research with hearing individuals suggests that SL mechanisms support literacy. Our first goal was to assess whether VSL was associated with reading ability in deaf individuals, and whether this relation was sustained by a link between VSL and sign language skill. Our second goal was to test the Auditory Scaffolding Hypothesis, which makes the prediction that deaf people should be impaired in sequential processing (...) tasks. For the VSL task, we adopted a modified version of the triplet learning paradigm, with stimuli presented sequentially across space and time. Results revealed that measures of sign language skill (sentence comprehension/repetition) did not correlate with VSL scores, possibly due to the sequential nature of our VSL task. Reading comprehension scores (PIAT‐R) were a significant predictor of VSL accuracy in hearing but not deaf people. This finding might be due to the sequential nature of the VSL task and to a less salient role of the sequential orthography‐to‐phonology mapping in deaf readers compared to hearing readers. The two groups did not differ in VSL scores. However, when reading ability was taken into account, VSL scores were higher for the deaf group than the hearing group. Overall, this evidence is inconsistent with the Auditory Scaffolding Hypothesis, suggesting that humans can develop efficient sequencing abilities even in the absence of sound. (shrink)

"This comprehensive volume - containing 27 chapters and contributions from six continents - presents and discusses key principles, perspectives, and practices of social learning in the context of sustainability. Social learning is explored from a range of fields challenged by sustainability including: organizational learning, environmental management and corporate social responsibility; multi-stakeholder governance; education, learning and educational psychology; multiple land-use and integrated rural development; and consumerism and critical consumer education. An entire section of the book is devoted (...) to a number of reflective case studies of people, organizations and communities using forms of social learning in moving towards sustainability. 'This book brings together a range of ideas, stories, and discussions about purposeful learning in communities aimed at creating a world that is more sustainable than the one currently in prospect....The book is designed to expand the network of conversations through which our society can confront various perspectives, discover emerging patterns, and apply learning to a variety of emotional and social contexts.' From the Foreword by Fritjof Capra, co-founder of the Center of Ecoliteracy. 'Joining what is so clear and refreshing in this book with the larger movements toward a critically democratic and activist education that is worthy of its name, is but one step in the struggle for sustainability. But it is an essential step if we are to use the insights that are included in this book.' From the Afterword by Michael Apple, author of 'Educating the ""Right"" Way: Markets, Standards, God, and Inequality'.". (shrink)

Describing how the study of artifacts is greatly enhanced by an understanding of the history of museums, Ken Arnold remarks that there is “an implicit faith in the power of objects to tell, or at least ask, historians things that the written word alone cannot” (1999, p. 145). Rather than remaining mute objects or passive accessories to textual descriptions, artifacts (and the museums that house them) are tangible incarnations of the culture from which they emerged, providing unique information on the (...) attitudes and behaviors of the past. In practice, studying and learning from artifacts can sometimes pose methodological problems, as a text-oriented historian may have no idea of how to “read” an object in order to reveal its secrets of the past. Historians and philosophers are trained almost exclusively to work with written and oral documents, limiting their analysis by neglecting such a valuable group of sources. However, as outlined in a special issue of Studies in the History and Philosophy of Science (2007, vol. 38, no. 2), it is apparent that a new historiographical tide has swept over scholars, encouraging new studies and methodologies for working with artifacts, objects, and images. (shrink)

(1980). Verbaliser‐Imager Learning Style and Children's Recall of Information Presented in Pictorial versus Written Form. Educational Studies: Vol. 6, No. 2, pp. 141-145.

Drawing on Moreno's cognitive-affective theory of learning with media, this research aims to investigate the effectiveness of different multimedia glosses on learners' vocabulary acquisition and reading comprehension in a CALL environment. A total of 160 university students who learnt English as a foreign language in four classes participated in the study and were exposed to one of the four conditions: L2 definition only, L2 definition coupled with audio, L2 definition plus video, and L2 definition with picture. Participants were asked (...) to read eight hypermediated reading texts. Reading comprehension as well as vocabulary acquisition were measured using a pretest–posttest design. The results show first that all these four conditions led to students' vocabulary gains. More specifically, participants who had access to L2 definition plus picture and plus videos achieved significantly higher scores than the other two groups, L2 definition coupled with audio and L2 definition only. Concerning reading comprehension, all multimedia glossing presentation led to better reading comprehension, but no differences were found among all the glossing groups. The questionnaire and interview data indicate that students preferred L2 definition coupled with video and picture glosses, followed by audio and L2 definition only. The results reflect that multimedia glossing presentation creates a different effect on students' vocabulary acquisition and reading comprehension, respectively. They also provide pedagogical implications for learning in times of COVID-19. (shrink)

In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. (...) Specifically, rather than identifying or labeling individual stimuli discretely in order to predict the next item in a sequence, we need only assume that the participant is able to represent the stimuli as evincing particular similarity relations to one another, with sequences represented as trajectories through this similarity space. We present experiments in which this hypothesis makes sharply different predictions from hypotheses based on the assumption that sequences are learned over discrete, labeled stimuli. We also present a series of simulation models that encode stimuli as positions in a continuous two‐dimensional space, and predict the next location from the current location. Although no model captures all of the data presented here, the results of three critical experiments are more consistent with the view that participants represent trajectories through similarity space rather than sequences of discrete labels under particular conditions. (shrink)

In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" process, one (...) that lies at the very heart of the adaptive behavioral repertoire of every complex organism. The author's goals are to outline the essential features of implicit learning that have emerged from the many studies that have been carried out in a variety of experimental laboratories over the past several decades; to present the various alternative perspectives on this issue that have been proposed by other researchers and to try to accommodate these views with his own; to structure the literature so that it can be seen in the context of standard heuristics of evolutionary biology; to present the material within a functionalist approach and to try to show why the experimental data should be seen as entailing particular epistemological perspectives; and to present implicit processing as encompassing a general and ubiquitous set of operations that have wide currency and several possible applications. Chapter 1 begins with the core problem under consideration in this book, a characterization of "implicit learning" as it has come to be used in the literature. Reber puts this seemingly specialized topic into a general framework and suggests a theoretical model based on standard heuristics of evolutionary biology. In his account, Reber weaves a capsule history of interest in and work on the cognitive unconscious. Chapter 2 turns to a detailed overview of the experimental work on the acquisition of implicit knowledge, which currently is of great interest. Chapter 3 develops the evolutionary model within which one can see learning and cognition as richly intertwining issues and not as two distinct fields with one dominating the other. Finally, Chapter 4 explores a variety of entailments and speculations concerning implicit cognitive processes and their general role in the larger scope of human performance. (shrink)

Inoperative Learning draws upon the movement towards a weak philosophy that is currently gaining ground in educational philosophy: this weak philosophy does not offer a set of solutions or guidelines for improving educational outcomes, but rather renders assumptions about the theory-practice coupling that is so popular in contemporary education inoperative. By arguing that such logic reduces education to merely instrumental ends, which can only be assessed in terms of predefined measurement tools, this book presents a challenge to contemporary notions (...) of education as learning. There are various forms of inoperative education that temporarily suspend the goal-directedness of learning. From the perspective of learning, the neutralization of progress, growth, and maturity would usually be seen as obstacles needing to be overcome on the path toward set goals. Yet Lewis argues that a serious investigation of inoperativity opens up possibilities that would be otherwise unavailable in a world fixated on the question of learning. In dialogue with philosophers (Agamben, Benjamin, and Esposito), as well as authors (Kafka and Walser), and qualitative researchers (Lather), Lewis turns our collective attention to what remains when concepts such as learning, child development, teacher effectivity, and personal growth are left idle. Inoperative Learning presents a radical rewriting of educational possibilities. It should therefore be of great interest to educational researchers and educational philosophers concerned with the question of alternative logics of education beyond learning. The book may also be of interest to educational policy specialists who are looking for new and innovative forms of critique and analysis. (shrink)

This article presents a critical examination of the process of stakeholder dialogue in the Corporate Social Responsibility (CSR) field. It utilises data from a three-year research project into stakeholder dialogue processes to discuss three central themes: first, what is meant by the term ‘dialogue’, both from a theoretical perspective and from its practical application within CSR; second, the challenges of creating effective dialogue; and third, measuring and assessing the potential outcomes of dialogue. In providing a critical overview of these themes, (...) the article examines the nature of organisational learning through stakeholder engagement and dialogue. It questions the motives behind engagement in dialogue and highlights some of the potential challenges for organisational learning posed by opting for a stakeholder dialogue approach. It argues that organisations engaging in stakeholder dialogue must have a clear understanding of the implications of undertaking a dialogue process and have a long-term perspective regarding the outcomes and learning likely to emerge from it. While stakeholder dialogue may produce significant results, it is argued, many of these may be difficult to quantify on a short-term basis. (shrink)

Implicit Learning and Consciousness challenges conventional wisdom and presents the most up-to-date studies to define, quantify and test the predictions of the main models of implicit learning. The chapters include a variety of research from computer modeling, experimental psychology and neural imaging to the clinical data resulting from work with amnesics. The result is a topical book that provides an overview of the debate on implicit learning, and the various philosophical, psychological and neurological frameworks in which it (...) can be placed. It will be of interest to undergraduates, postgraduates and the philosophical, psychological and modeling research community. (shrink)

This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the model acquires a lexicon by finding and statistically modeling consistent cross‐modal structure. The model has been implemented in a system using novel speech processing, computer vision, and machine learning algorithms. In evaluations the model successfully performed speech segmentation, word discovery and visual categorization from spontaneous infant‐directed speech paired with video images of single objects. These (...) results demonstrate the possibility of using state‐of‐the‐art techniques from sensory pattern recognition and machine learning to implement cognitive models which can process raw sensor data without the need for human transcription or labeling. (shrink)

This target article presents a theory of human cultural learning. Cultural learning is identified with those instances of social learning in which intersubjectivity or perspective-taking plays a vital role, both in the original learning process and in the resulting cognitive product. Cultural learning manifests itself in three forms during human ontogeny: imitative learning, instructed learning, and collaborative learning – in that order. Evidence is provided that this progression arises from the developmental ordering (...) of the underlying social-cognitive concepts and processes involved. Imitative learning relies on a concept of intentional agent and involves simple perspective-taking. Instructed learning relies on a concept of mental agent and involves alternating/coordinated perspective-taking (intersubjectivity). Collaborative learning relies on a concept of reflective agent and involves integrated perspective-taking (reflective intersubjectivity). A comparison of normal children, autistic children and wild and enculturated chimpanzees provides further evidence for these correlations between social cognition and cultural learning. Cultural learning is a uniquely human form of social learning that allows for a fidelity of transmission of behaviors and information among conspecifics not possible in other forms of social learning, thereby providing the psychological basis for cultural evolution. (shrink)

This is a response to the nine commentaries on our target article “Unlimited Associative Learning: A primer and some predictions”. Our responses are organized by theme rather than by author. We present a minimal functional architecture for Unlimited Associative Learning that aims to tie to together the list of capacities presented in the target article. We explain why we discount higher-order thought theories of consciousness. We respond to the criticism that we have overplayed the importance of learning (...) and underplayed the importance of spatial modelling. We decline the invitation to add a negative marker to our proposed positive marker so as to rule out consciousness in plants, but we nonetheless maintain that there is no positive evidence of consciousness in plants. We close by discussing how UAL relates to development and to its material substrate. (shrink)

Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The (...) schema organizes the objects into categories and specifies the causal powers and characteristic features of these categories and the characteristic causal interactions between categories. A schema of this kind allows causal models for subsequent objects to be rapidly learned, and we explore this accelerated learning in four experiments. Our results confirm that humans learn rapidly about the causal powers of novel objects, and we show that our framework accounts better for our data than alternative models of causal learning. (shrink)