The results of four experiments provide evidence for controlled processing in the absence of awareness. Participants identified the colour of a neutral distracter word. Each of four words was presented in one of the four colours 75% of the time or 50% of the time . Colour identification was faster when the words appeared in the colour they were most often presented in relative to when they appeared in another colour, even for participants who were subjectively unaware of any contingencies (...) between the words and the colours. An analysis of sequence effects showed that participants who were unaware of the relation between distracter words and colours nonetheless controlled the impact of the word on performance depending on the nature of the previous trial. A block analysis of contingency-unaware participants revealed that contingencies were learned rapidly in the first block of trials. Experiment 3 showed that the contingency effect does not depend on the level of awareness, thus ruling out explicit strategy accounts. Finally, Experiment 4 showed that the contingency effect results from behavioural control and not from semantic association or stimulus familiarity. These results thus provide evidence for implicit control. (shrink)

This paper presents a learning theory pertinent to dynamic decision making (DDM) called instancebased learning theory (IBLT). IBLT proposes five learning mechanisms in the context of a decision‐making process: instance‐based knowledge, recognition‐based retrieval, adaptive strategies, necessity‐based choice, and feedback updates. IBLT suggests in DDM people learn with the accumulation and refinement of instances, containing the decision‐making situation, action, and utility of decisions. As decision makers interact with a dynamic task, they recognize a situation according to its similarity to past instances, (...) adapt their judgment strategies from heuristic‐based to instance‐based, and refine the accumulated knowledge according to feedback on the result of their actions. The IBLT's learning mechanisms have been implemented in an ACT‐R cognitive model. Through a series of experiments, this paper shows how the IBLT's learning mechanisms closely approximate the relative trend magnitude and performance of human data. Although the cognitive model is bounded within the context of a dynamic task, the IBLT is a general theory of decision making applicable to other dynamic environments. (shrink)

In this groundbreaking book, Andrea R. English challenges common assumptions by arguing that discontinuous experiences, such as uncertainty and struggle, are essential to the learning process. To make this argument, Dr. English draws from the works of two seminal thinkers in philosophy of education - nineteenth-century German philosopher J. F. Herbart and American Pragmatist John Dewey. English's analysis considers Herbart's influence on Dewey, inverting the accepted interpretation of Dewey's thought as a dramatic break from modern European understandings of education.

It is proposed here that there is a sensitive period in the first two to three years of life during which humans acquire a basic knowledge of what foods are safe to eat. In support of this, it is shown that willingness to eat a wide variety of foods is greatest between the ages of one and two years, and then declines to low levels by age four. These data also show that children who are introduced to solids unusually late (...) have a narrower diet breadth throughout childhood, perhaps because the duration of the sensitive period has been shortened. By reducing the costs associated with learning, a sensitive period for food learning should be adaptive for any omnivore (including early humans) that remains in the same environment throughout its life. (shrink)

We compare Karl Popper’s ideas concerning the falsifiability of a theory with similar notions from the part of statistical learning theory known as VC-theory . Popper’s notion of the dimension of a theory is contrasted with the apparently very similar VC-dimension. Having located some divergences, we discuss how best to view Popper’s work from the perspective of statistical learning theory, either as a precursor or as aiming to capture a different learning activity.

El reto de los sistemas educativos ha sido proponer escenarios virtuales con mediación eficiente de tecnología que faciliten la evidencia de desarrollo tecnológico. Nuestra propuesta tiene como objetivo definir una estrategia de aprendizaje que permita el desarrollo tecnológico a través del uso de simuladores basados en IoT y la interacción de servidores en la nube para el almacenamiento de datos. Se pretende convertir al instructor en un guía tecnológico que permita verificar los resultados del aprendizaje. La propuesta facilita el desarrollo (...) de competencias computacionales enfocadas a la creación tecnológica con escenarios dinámicos y configurables para ser accesibles desde la web. (shrink)

In recent years, several Vygotskian computer-based learning activities (VCBLAs) were designed in the context of (mathematics) education and implemented on Moodle platform. However, Moodle does not allow users to visualize all chats on a single browser page, and they are forced to open multiple browser windows and switch among them very frequently. This paper describes the features of a plugin for Moodle, called “Quick Chat,” which allows to manage in a single browser window both the narrative flow of a VCBLA (...) and all chats. Some results of an experimentation with PhD students, engaged in solving two mathematical tasks, are shown. (shrink)

The idea that fictions may educate us is an old one, as is the view that they distort the truth and mislead us. While there is a long tradition of passionate assertion in this debate, systematic arguments are a recent development, and the idea of empirically testing is particularly novel. Our aim in this chapter is to provide clarity about what is at stake in this debate, what the options are, and how empirical work does or might bear on its (...) resolution. We distinguish between merely influencing people’s opinions and providing genuine learning, where the latter requires that the source of the change in opinion should be reliable. Other important ideas here are the extent to which authors of fiction may be considered to provide testimony, or something like it, and the possibility of recognizing an unstated purpose in the project of the fictional work. We ask whether fictions can furnish us not merely with ideas but with reasons for believing them, perhaps by constituting thought experiments. We consider whether the focus should be on understanding rather than on knowledge, and whether fictions can inform us about the qualities of another’s experiences. We briefly describe some experimental work of recent decades and suggest that the evidence for learning from fiction is currently meagre. (shrink)

Implicit learning is said to occur when a person learns about a complex stimulus without necessarily intending to do so, and in such a way that the resulting knowledge is difficult to express. Over the last 30 years, a number of studies have claimed to show evidence of implicit learning. In more recent years, however, considerable debate has arisen over the extent to which cognitive tasks can in fact be learned implicitly. Much of the debate has centred on the questions (...) of how unconscious, and how abstract, is implicitly acquired knowledge? The aim of this book is to provide students and researchers with a self-contained and balanced summary of the various theoretical and empirical positions that are currently shaping this exciting area of research. (shrink)

Recent advances in the field of statistical learning have established that learners are able to track regularities of multimodal stimuli, yet it is unknown whether the statistical computations are performed on integrated representations or on separate, unimodal representations. In the present study, we investigated the ability of adults to integrate audio and visual input during statistical learning. We presented learners with a speech stream synchronized with a video of a speaker’s face. In the critical condition, the visual (e.g. /gi/) and (...) auditory (e.g. /mi/) signals were occasionally incongruent, which we predicted would produce the McGurk illusion, resulting in the perception of an audiovisual syllable (e.g. /ni/). In this way, we used the McGurk illusion to manipulate the underlying statistical structure of the speech streams, such that perception of these illusory syllables facilitated participants’ ability to segment the speech stream. Our results therefore demonstrate that participants can integrate audio and visual input to perceive the McGurk illusion during statistical learning. We interpret our findings as support for modality-interactive accounts of statistical learning. (shrink)

There is an influential story about learning that retains a grip on the public mind. Main elements of this story include: the best learning resides in individual minds not bodies; it centres on propositions (true, false; more certain, less certain); such learning is transparent to the mind that has acquired it; so the acquisition of the best learning alters minds not bodies. Implications of these basic ideas include: the best learning can be expressed verbally and written down in books, etc.; (...) the process and product of learning can be sharply distinguished; and, though residing in minds and books, the best learning can be applied, via bodies, to alter the external world. The pervasive influence of this story is apparent in many writings about learning, including philosophical writings. A number of basic assumptions about learning underpin this story. The central purpose of this paper is to further delineate and then challenge each of these basic assumptions. The main implication of challenging these basic assumptions is that a somewhat different philosophical understanding of learning emerges. This different understanding of learning may offer fresh insights on current educational issues. (shrink)

While organizational learning literature has generated significant insight into the effective and efficient achievement of organizational goals as well as to the modus of learning, it is currently unable to describe moral learning processes in organizations consistently. Corporations need to learn morally if they want to deal effectively with stakeholders criticizing their conduct. Nongovernmental organizations do not ask corporations to be more effective or efficient in what they do, but to become more responsible or to learn morally. Current research on (...) the moral aspect of organizational learning has been primarily of a theoretical nature and is in need of empirical verification. Results of a longitudinal case study as Citigroup’s conflict with the Rainforest Action Network show that current organizational moral learning theories do not fit the moral learning path observed at Citigroup. More empirical research is needed to describe organizational moral learning. (shrink)

Improvement in performance after the end of the training session, termed “Offline improvement,” has been shown in procedural learning tasks. We examined whether Offline improvement in learning a novel orthography depends on the type of reading instruction. Forty-eight adults received multisession training in reading nonsense words, written in an artificial script. Participants were trained in one of three conditions: alphabetical words preceded by direct letter instruction (Letter-Alph); alphabetical words with whole-word instruction (Word-Alph); and nonalphabetical (arbitrary) words with whole-word instruction (Word-Arb). (...) Offline improvement was found only for the Letter-Alph group. Moreover, correlation with a standardized measure of word reading ability showed that good readers trained in the Letter-Alph group exhibit greater Offline improvement, whereas good readers trained in the Word-Arb group showed greater Within-session improvement during training. These results suggest that different consolidation processes and learning mechanisms were involved in each group. We argue that providing a short block of direct letter instruction prior to training resulted in increased involvement of procedural learning mechanisms during training. (shrink)

This paper offers an introduction to the philosophy and science of embodied learning, conceived as both the stabilizing and expansionary process that sustains order and novelty within learners’ worlds enacted through observing and describing. Embodied learning acknowledges stability and change as the purposeful conjoined characteristics that sustain learners. It is, in many respects, a composite theory that represents work from various disciplines. This ‘naturalized epistemology’ ( ) conceives a world of fact inevitably imbued with the values that our own structural (...) histories guarantee us observers, whether acknowledged or not within our reflective awareness. These values, however, are not simple sets of preferences, for they are constituted in our individual learning histories that, for good or bad, influence the course of future learning. This conservational element of our condition is only half the story, however. The more radical aspect resides in the expansionary capacity of embodied observers to change, to enact worlds that are not pre‐given ( ) but, rather, brought forth by learners as observers and describers. Furthermore, embodied learning seeks a grounding for understanding in the often‐unexplored epistemological terrain between positivist absolutism or its mirrored polar opposite, postmodern nihilism. Its epistemological stance derives from its ontology, which is grounded in the profound obviousness that ‘everything said is said by someone’ (, p. 27). (shrink)

Six characteristics of effective representational systems for conceptual learning in complex domains have been identified. Such representations should: (1) integrate levels of abstraction; (2) combine globally homogeneous with locally heterogeneous representation of concepts; (3) integrate alternative perspectives of the domain; (4) support malleable manipulation of expressions; (5) possess compact procedures; and (6) have uniform procedures. The characteristics were discovered by analysing and evaluating a novel diagrammatic representation that has been invented to support students' comprehension of electricity—AVOW diagrams (Amps, Volts, Ohms, (...) Watts). A task analysis is presented that demonstrates that problem solving using a conventional algebraic approach demands more effort than AVOW diagrams. In an experiment comparing two groups of learners using the alternative approaches, the group using AVOW diagrams learned more than the group using equations and were better able to solve complex transfer problems and questions involving multiple constraints. Analysis of verbal protocols and work scratchings showed that the AVOW diagram group, in contrast to the equations group, acquired a coherently organised network of concepts, learnt effective problem solving procedures, and experienced more positive learning events. The six principles of effective representations were proposed on the basis of these findings. AVOW diagrams are Law Encoding Diagrams, a general class of representations that have been shown to support learning in other scientific domains. (shrink)

David Hume’s skeptical solution to the problem of induction was grounded in his belief that we learn by means of custom. We consider here how a form of reinforcement learning like custom may allow an agent to learn how to learn in other ways as well. Specifically, an agent may learn by simple reinforcement to adopt new forms of learning that work better than simple reinforcement in the context of specific tasks. We will consider how such a bootstrapping process may (...) lead to a system that includes trial-and-error forms of learning like win-stay/lose-shift, probe and adjust, and simple reinforcement itself together with higher-rationality inferential tools. (shrink)

We discuss findings on evaluative conditioning (EC) that are problematic for the account of learning, namely, dissociations between conscious beliefs and acquired (dis)liking. We next argue that, both for EC and for Pavlovian learning in general, conditioned responding cannot rationally be inferred from propositional knowledge type and that, therefore, performance cannot be explained.

In this paper we discuss the application of a new machine learning approach – Argument Based Machine Learning – to the legal domain. An experiment using a dataset which has also been used in previous experiments with other learning techniques is described, and comparison with previous experiments made. We also tested this method for its robustness to noise in learning data. Argumentation based machine learning is particularly suited to the legal domain as it makes use of the justifications of decisions (...) which are available. Importantly, where a large number of decided cases are available, it provides a way of identifying which need to be considered. Using this technique, only decisions which will have an influence on the rules being learned are examined. (shrink)

Recently, a connection has been established between two branches of computability theory, namely between algorithmic randomness and algorithmic learning theory. Learning-theoretical characterizations of several notions of randomness were discovered. We study such characterizations based on the asymptotic density of positive answers. In particular, this note provides a new learning-theoretic definition of weak 2-randomness, solving the problem posed by (Zaffora Blando, Rev. Symb. Log. 2019). The note also highlights the close connection between these characterizations and the problem of convergence on random (...) sequences. (shrink)

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 (...) dans son article « Mathematical explanation » (1978), n'est pas en mesure de rendre compte du caractère explicatif de la preuve donnée par Euler. Cela contredit l'intuition originale du mathématicien Euler, qui attribuait à sa preuve un caractère explicatif spécifique. (shrink)

Rethinking organizational ethics training -- Moral intuition: advances in moral psychology and neuroscience -- The social intuitionist model -- Communication and the new organizational ethics -- How cultur(ing) works -- Pluralistic moral ignorance and spirals of silent misdirection -- Here-and-now ethics talk in the workplace -- Sensemaking and identity: what to expect from moral reasoning -- Substituting here-and-now ethics talk -- Organizational learning and organizational communication -- From individual moral intuition to organizational moral learning -- Organizing for moral mindfulness -- (...) Stories of organizational moral learning and ignorance -- Communication practices for managing moral mindfulness. (shrink)

This paper introduces some of the debates in the field of critical thinking by highlighting differences among thinkers such as Siegel, Ennis, Paul, McPeck, and Martin, and poses some questions that arise from these debates. Does rationality transcend particular cultures, or are there different kinds of thinking, different styles of reasoning? What is the relationship between critical thinking and learning? In what ways does the moral domain overlap with these largely epistemic and pedagogical issues? The paper concludes by showing how (...) Peters, Evers, Chan and Yan, Ryan and Louie, Luntley, Lam, Doddington, and Kwak, respond to these questions. (shrink)

The lostness measure, an implicit and unobtrusive measure originally designed for assessing the usability of hypertext systems, could be useful in Virtual Reality (VR) games where players need to find information to complete a task. VR locomotion systems with node-based movement mimic actions for exploration and browsing found in hypertext systems. For that reason, hypertext usability measures, such as “lostness” can be used to identify how disoriented a player is when completing tasks in an educational game by examining steps made (...) by the player. An evaluation of two different lostness measures, global and local lostness, based on two different types of tasks, is described in a VR educational game using 13 college students between 14 and 18 years old in a first study and extended using 12 extra participants in a second study. Multiple Linear Regression analyses showed, in both studies, that local lostness, and not global lostness, had a significant effect on a post-game knowledge test. Therefore, we argued that local lostness was able to predict how well-participants would perform on a post-game knowledge test indicating how well they learned from the game. In-game experience aspects (engagement, cognitive interest, and presence) were also evaluated and, interestingly, it was also found that participants learned less when they felt more present in the game. We believe these two measures relate to cognitive overload, which is known to have an adverse effect on learning. Further research should investigate the lostness measure for use in an online adaptive game system and design the game system in such a way that the risk of cognitive overload is minimized when learning, resulting in higher retention of information. (shrink)

Recent work indicates that there are distinct response habituation mechanisms that can be recruited by different stimulation rates and that can underlie different components (e.g., the duration or speed) of a single behavioral response. These findings raise the question: why is “the simplest form of learning” so complicated mechanistically? Beyond evolutionary selection for robustness of plasticity in learning to ignore, it is proposed in this article that multiple mechanisms of habituation have evolved to streamline shifts in ongoing behavioral strategy. Then, (...) speculations are offered regarding the implications of this reconceptualization of habituation for approaching the analysis of mechanisms of more complex forms of learning and memory. (shrink)

More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in (...) auditory category learning and more specifically in speech category learning has not been systematically examined. In this article, we describe a neurobiologically constrained dual-learning systems theoretical framework that is currently being developed in speech category learning and review recent applications of this framework. Using behavioral and computational modeling approaches, we provide evidence that speech category learning is predominantly mediated by the reflexive learning system. In one application, we explore the effects of normal aging on non-speech and speech category learning. Prominently, we find a large age-related deficit in speech learning. The computational modeling suggests that older adults are less likely to transition from simple, reflective, unidimensional rules to more complex, reflexive, multi-dimensional rules. In a second application, we summarize a recent study examining auditory category learning in individuals with elevated depressive symptoms. We find a deficit in reflective-optimal and an enhancement in reflexive-optimal auditory category learning. Interestingly, individuals with elevated depressive symptoms also show an advantage in learning speech categories. We end with a brief summary and description of a number of future directions. (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)

The paper considers the problems involved in getting neural networks to learn about highly structured task domains. A central problem concerns the tendency of networks to learn only a set of shallow (non-generalizable) representations for the task, i.e., to miss the deep organizing features of the domain. Various solutions are examined, including task specific network configuration and incremental learning. The latter strategy is the more attractive, since it holds out the promise of a task-independent solution to the problem. Once we (...) see exactly how the solution works, however, it becomes clear that it is limited to a special class of cases in which (1) statistically driven undersampling is (luckily) equivalent to task decomposition, and (2) the dangers of unlearning are somehow being minimized. The technique is suggestive nonetheless, for a variety of developmental factors may yield the functional equivalent of both statistical AND informed undersampling in early learning. (shrink)

Poverty of the Stimulus Arguments have convinced many linguists and philosophers of language that a domain specific language acquisition device (LAD) is necessary to account for language learning. Here we review empirical evidence that casts doubt on the necessity of this domain specific device. We suggest that more attention needs to be paid to the early stages of language acquisition. Many seemingly innate language-related abilities have to be learned over the course of several months. Further, the language input contains rich (...) stochastic information that can be accessed by domain-general learning mechanisms. Computer simulation has shown how mechanisms that are not domain specific can exploit the information contained in language. We conclude that (i) Poverty of the Stimulus Arguments need to be conceptually clarified and (ii) more empirical research needs to be carried out before we can rule out that data driven general purpose mechanisms can account for language learning. (shrink)

Andrew Davis; Ability and Learning, Journal of Philosophy of Education, Volume 22, Issue 1, 30 May 2006, Pages 45–55, https://doi.org/10.1111/j.1467-9752.1988.t.

Contemporary educational goals place increasing emphasis on conferring recognition and building self-esteem for people deemed to be marginalised and vulnerable. Such goals coalesce with the language, symbols and practices of therapy inscribed within a broader 'therapeutic ethos'. The paper relates these trends to broader cultural demoralisation about people's potential for human agency and evaluates their effects on educational debates. A therapeutic ethos in education appears benign and empowering. Yet, the paper argues that it produces a diminished view of people and (...) low expectations about people's capacity for resilience and autonomy. One effect is to encourage an alignment between the values and activities of education and welfare. This both legitimises and extends institutional and government influence over people's psychological and emotional states. The paper explores these trends and evaluates their implications for educational ideas about human agency. (shrink)

This article intends to unpack how art education motivates students for a creative educational practice in immersive learning, following the author’s research using books to explore The Book Experience as a Place of Epistemological Reflection in Art Education. Questions as to how book making can be understood as a tool for teaching and learning, as a mediator and as a collaborative piece of producing knowledge, were raised during the process of making collective books, along with reflection on author’s articles. Feedbacks (...) reveal a firm evidence of learning through studio practice based pedagogies as spaces of learning. (shrink)

Despite the expansion of post-school education and incentives to participate in lifelong learning, institutions and labour markets continue to interlock in shaping life chances according to starting social position, family and private resources. The dominant view that the economic and social returns to public investment in adult learning are too low to warrant large-scale public funding has been challenged by recent LLAKES research that shows significant returns to participants in lifelong learning with improvements in both their employability and employment prospects. (...) It is argued that, under conditions of growing social polarisation and economic uncertainty, lifelong learning can have a significant protective effect by keeping adults close to a changing labour market. In this paper we review research from different disciplinary and epistemological traditions, providing evidence of the beneficial effects of lifelong learning, especially when taking into account the dynamics of the life course. Transitions and turning-points in youth and in adult life are markers of diversification of the life course; how far these diversifications amount to 'de-standardisation' of the life course is debated. They involve biographical negotiation, in which any decision is consequential upon previous decisions and involves the exercise of contextualised preferences as well as the calculations of 'rational choice'. Gaining a better understanding of how changing demands are negotiated at different life stages offers a new perspective, moving from narrow versions of rational choice theory towards models of biographical negotiation as promising avenues for effective policy-making. (shrink)

This book explores a new pedagogical model called The Third Model, which places the encounter between the child and the curriculum at the center of educational theory and practice. The Third Model is implemented in an alternative classroom called Community of Thinking. Teaching and learning in a Community of Thinking is based on three "stations": the fertile question; research; and concluding performance. The essence of a Community of Thinking is the formation of a group of students and teachers who grapple (...) with a troubling question to which they do not know the answer at the outset - and sometimes even at the end of their investigation. The Community of Thinking framework is supported by a whole school model - the Intel-Lect School. The model, or parts of it, is currently implemented in schools in Israel, England, Australia, and New Zealand. The book suggests a new pedagogical narrative based on alternative "atomic pictures" of learning, teaching, knowledge, mind and the aim of education, and a systematic pedagogical practice based on this narrative.. (shrink)

In this study of English Foreign Language Learners, the author explored the learning preferences of 14 students enrolled in English for Specific Purposes course. All students were provided with the same content, course materials, assignments and time for completing the assignments. They were all given the same pre and post-learning questionnaire, writing tasks and final exam. However, they completed these tasks either in a digital environment or in-class. The study was conducted at South East European University in Macedonia where digital (...) instruction is not well known or practiced. The results indicate that the best way for students to learn is by combining the two learning environments. By completing an assignment both ways, students discovered not only that some tasks are best done in a digital environment and others in class, but also they discovered their preferred way of learning. (shrink)