Bayesianism can be characterized as the following twofold position: (i) rational credences obey the probability calculus; (ii) rational learning, i.e., the updating of credences, is regulated by some form of conditionalization. While the formal aspect of various forms of conditionalization has been explored in detail, the philosophical application to learning from experience is still deeply problematic. Some philosophers have proposed to revise the epistemology of perception; others have provided new formal accounts of conditionalization that are more in line (...) with how we learn from perceptual experience. The current investigation argues that Bayesian epistemology is still incomplete; the epistemology of perception and the epistemology of rational reasoning have not been reconciled. (shrink)

Within the ethical debate on Machine Learning-driven decision support systems (ML_CDSS), notions such as “human in the loop” or “meaningful human control” are often cited as being necessary for ethical legitimacy. In addition, ethical principles usually serve as the major point of reference in ethical guidance documents, stating that conflicts between principles need to be weighed and balanced against each other. Starting from a neo-Kantian viewpoint inspired by Onora O'Neill, this article makes a concrete suggestion of how to interpret (...) the role of the “human in the loop” and to overcome the perspective of rivaling ethical principles in the evaluation of AI in health care. We argue that patients should be perceived as “fellow workers” and epistemic partners in the interpretation of ML_CDSS outputs. We further highlight that a meaningful process of integrating (rather than weighing and balancing) ethical principles is most appropriate in the evaluation of medical AI. (shrink)

Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages (...) from this posterior distribution, iterated learning converges to a distribution over languages that is determined entirely by the prior. Under these conditions, iterated learning is a form of Gibbs sampling, a widely-used Markov chain Monte Carlo algorithm. The consequences of iterated learning are more complicated when learners choose the language with maximum posterior probability, being affected by both the prior of the learners and the amount of information transmitted between generations. We show that in this case, iterated learning corresponds to another statistical inference algorithm, a variant of the expectation-maximization (EM) algorithm. These results clarify the role of iterated learning in explanations of linguistic universals and provide a formal connection between constraints on language acquisition and the languages that come to be spoken, suggesting that information transmitted via iterated learning will ultimately come to mirror the minds of the learners. (shrink)

Abstract:Robert Sugden has suggested a normative standard of freedom as ‘opportunity’ that is supposed to help realign normative economics – with its traditional rational choice orientation – with behavioural economics. While allowing preferences to be incoherent, he wants to maintain the anti-paternalist stance of orthodox welfare economics. His standard, though, presupposes that people respond to uncertainty about their own future preferences by dismissing any kind of self-constraint. We argue that the approach lacks psychological substance: Sugden's normative benchmark – the ‘responsible (...) person’ – can hardly serve as a convincing role model in a contractarian setting. An alternative concept is introduced, and some implications are briefly discussed. (shrink)

John McDowell begins his essay ‘Knowledge by Hearsay’ (1993) by describing two ways language matters to epistemology. The first is that, by understanding and accepting someone else's utterance, a person can acquire knowledge. This is what philosophers call ‘knowledge by testimony’. The second is that children acquire knowledge in the course of learning their first language—in acquiring language, a child inherits a conception of the world. In The Formation of Reason (2011), and my writings on Russian socio-historical philosophy and (...) psychology, I address issues bearing on the second of these topics, questions about the child's development through initiation into language and other forms of social being. In this article, I focus on the first: the epistemology of testimony. After expounding a view of testimony inspired by McDowell, and supplemented by ideas from Sebastian Rödl, I consider how such an account illuminates two issues in philosophy of education: the extent of an individual's epistemic dependence upon others, and the nature of teaching. (shrink)

Curiosity and creativity are expressions of the trade-off between leveraging that with which we are familiar or seeking out novelty. Through the computational lens of reinforcement learning, we describe how formulating the value of information seeking and generation via their complementary effects on planning horizons formally captures a range of solutions to striking this balance.

This is the first critical edition since the nineteenth century of Bacon's principal philosophical work in English, The Twoo Bookes of Francis Bacon. Of the proficience and advancement of Learning, divine and humane - traditionally known as The Advancement of Learning.

Genetic engineering techniques (e.g., CRISPR-Cas) have led to an increase in biotechnological developments, possibly leading to uncertain risks. The European Union aims to anticipate these by embedding the Precautionary Principle in its regulation for risk management. This principle revolves around taking preventive action in the face of uncertainty and provides guidelines to take precautionary measures when dealing with important values such as health or environmental safety. However, when dealing with ‘new’ technologies, it can be hard for risk managers to estimate (...) the societal or environmental consequences of a biotechnology that might arise once introduced or embedded in society due to that these sometimes do not comply with the established norms within risk assessment. When there is insufficient knowledge, stakeholders active in early developmental stages (e.g., researchers) could provide necessary knowledge by conducting research specifically devoted to what these unknown risks could entail. In theory, the Safe-by-Design (SbD) approach could enable such a controlled learning environment to gradually identify what these uncertain risks are, to which we refer as responsible learning. In this paper, we argue that three conditions need to be present to enable such an environment: (1) regulatory flexibility, (2) co-responsibility between researchers and regulators, and (3) openness towards all stakeholders. If one of these conditions would not be present, the SbD approach cannot be implemented to its fullest potential, thereby limiting an environment for responsible learning and possibly leaving current policy behind to anticipate uncertain risks. (shrink)

In this article we present symmetric diffusion networks, a family of networks that instantiate the principles of continuous, stochastic, adaptive and interactive propagation of information. Using methods of Markovion diffusion theory, we formalize the activation dynamics of these networks and then show that they can be trained to reproduce entire multivariate probability distributions on their outputs using the contrastive Hebbion learning rule (CHL). We show that CHL performs gradient descent on an error function that captures differences between desired and (...) obtained continuous multivariate probability distributions. This allows the learning algorithm to go beyond expected values of output units and to approximate complete probability distributions on continuous multivariate activation spaces. We argue that learning continuous distributions is an important task underlying a variety of real‐life situations that were beyond the scope of previous connectionist networks. Deterministic networks, like back propagation, cannot learn this task because they are limited to learning average values of independent output units. Previous stochastic connectionist networks could learn probability distributions but they were limited to discrete variables. Simulations show that symmetric diffusion networks can be trained with the CHL rule to approximate discrete and continuous probability distributions of various types. (shrink)

Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...) helps in protecting them from developing deadly blood clots. A tomato classification approach is presented with a data set containing approximately 5,266 images with 7 species belonging to tomatoes. The Neural Network Algorithms (CNN), a deep learning technique applied widely in image recognition, is used for this task. (shrink)

The cicada catcher focuses as much on technique as he does on outcomes. In response to Confucius’ question, he articulates in detail the learning he has undertaken to develop techniques at each level of competence. This chapter explains the connection between the cicada catcher’s development of technique and his orientation toward outcomes. It uses details in this story to contribute to recent discussions in epistemology on the cultivation of technique.

There has been an increased focus within the AI ethics literature on questions of power, reflected in the ideal of accountability supported by many Responsible AI guidelines. While this recent debate points towards the power asymmetry between those who shape AI systems and those affected by them, the literature lacks normative grounding and misses conceptual clarity on how these power dynamics take shape. In this paper, I develop a workable conceptualization of said power dynamics according to Cristiano Castelfranchi’s conceptual framework (...) of power and argue that end-users depend on a system’s developers and users, because end-users rely on these systems to satisfy their goals, constituting a power asymmetry between developers, users and end-users. I ground my analysis in the neo-republican moral wrong of domination, drawing attention to legitimacy concerns of the power-dependence relation following from the current lack of accountability mechanisms. I illustrate my claims on the basis of a risk-prediction machine learning system, and propose institutional and project-specific solutions to mitigate domination. (shrink)

In this paper we address the problem of short-term electric energy prediction using a time series forecasting approach applied to data generated by a Paraguayan electricity distribution provider. The dataset used in this work contains data collected over a three-year period. This is the first time that these data have been used; therefore, a preprocessing phase of the data was also performed. In particular, we propose a comparative study of various machine learning and statistical strategies with the objective of (...) predicting the electric energy consumption for a given prediction horizon, in our case seven days, using historical data. In this paper we have tested the effectiveness of the techniques with different historical window sizes. Specifically, we considered two ensemble strategies, a neural network, a deep learning technique and linear regression. Moreover, in this study, we tested whether the inclusion of meteorological data can help achieve better predictions. In particular, we considered data regarding temperature, humidity, wind speed and atmospheric pressure registered during the three-year period of data collection. The results show that, in general, the deep learning approach obtains the best results and that such results are obtained when meteorological data are also considered. Moreover, when meteorological data is used, a smaller historical window size is required to obtain precise predictions. (shrink)

This study is framed under the student approaches to learning tradition. The aim was to identify convergence in quantitative and qualitative responses of individuals when measuring their conceptions of and approaches to learning with a mixed methods design. A sample of 1110 Spanish Master’s level teacher education students completed a scale on approaches to learning, and a randomly selected subsample of 111 answered an open-ended question on how they learned. Overall, the qualitative and quantitative data did not (...) support each other, as inventory responses showed a clear predominance of a deep, non-surface approach to learning, whereas qualitative answers reflected a tendency towards lower-order conceptions of learning. Inconsistencies in the results suggest future research ought to use a combination of techniques when exploring constructs such as learning should they wish to draw valid conclusions. (shrink)

Writing is frequently analyzed as a mode of communication. But writing can be done for personal reasons, to remind oneself of things to do, of thoughts, of events. The cellphone has revealed this shift, commencing as a communication device and ending up as a memory prosthesis that records what we see, hear, read and think. The recordings are not necessarily for communicating a message to others, but sometimes just for oneself. Today, when machine learning algorithms read, write and transmit, (...) a new mode of communication arises that is not centered on the human. In this chapter the various phases of modern writing are modeled according to postphenomenology. As a branch of philosophy of technology, postphenomenology offers a set of analytical tools to study technologies and our relations to them. One of its central frameworks is the scheme of “I–technology–world.” The author proposes some modifications so that the scheme can systematically model the changes in the humans users, in machine learning algorithms imbued with non-human cognition and in the environments of readers, interlocutors and contexts. (shrink)

Wittgenstein scholars have tended to interpret the acquisition of certainties, and by extension, of a world-picture, as the achievement of a state in which these certainties are assimilated in a seemingly unconscious way as one masters language-games. However, it has not been stressed that the attainment of this state often involves facing a series of challenges or difficulties which must be overcome for the development of the world-picture and therefore the socialization process to be achieved. After showing, on the one (...) hand, how a world-picture is usually developed, and on the other hand, why a child who seemingly found itself trapped in a precocious skepticism might have serious problems in assimilating certainties, in this paper, I describe some of the challenges children often meet as they acquire a world-picture. Since the overcoming of these challenges is often needed for children to develop a world-picture, I aim at raising the awareness of the necessity of ‘learning to believe’, that is, of developing a series of skills that allow children to undertake the challenges described in this paper. (shrink)

The research aims to identify the trends of Palestinian higher educational institutions in Gaza Strip as learning organizations from the perspective of senior management in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) employees (...) from the Palestinian universities was selected and the recovery rate was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The study found the following results: There is an agreement about: the importance of the focus of "organizational structure" with an average approval, the importance of "technological infrastructure" axis with high approval, and the importance of "strategic" with an average approval. The results concluded that the study sample agree on the importance of "organizational dimension" highly. The results showed that the sample believe that the "strategic leadership" level in the universities got medium-approval. There is a fair level agreement about the axis of interest "teams / committees". There is an agreement about the importance of the "human dimension" moderately. The results showed that the sample is highly agreed about the importance of focus of the "knowledge management", and the focus of the "continuing education". They agreed weakly to somewhat about the importance of the focus of "scientific research", moderately agree about the importance of the center of "institutional culture", agree moderately on the importance of "cognitive dimension". The results showed that the sample largely agree on the importance of the focus of "strategic partnerships and alliances". They agree highly on the axis "keep up with the labor market" and on the focus of the importance of "technology incubators". The results showed that the sample moderately agree about the importance of the theme on "consulting and training", the importance of the focus of "social responsibility", and the focus of the "Community dimension". The study found a group of recommendations including: there is a need to provide suitable environment that achieve learning organizations. There is a need to develop the technological infrastructure (hardware, software, networks, databases, and human skills) because of the great advantages that they offer. The universities need to adopt knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments. The establishment of technology incubators in universities to adopt outstanding university research projects, to protect, to supports, and to market them; furthermore, to develop the capabilities and skills of employees in the field of information technology. (shrink)

How do we get out knowledge of the natural numbers? Various philosophical accounts exist, but there has been comparatively little attention to psychological data on how the learning process actually takes place. I work through the psychological literature on number acquisition with the aim of characterising the acquisition stages in formal terms. In doing so, I argue that we need a combination of current neologicist accounts and accounts such as that of Parsons. In particular, I argue that we learn (...) the initial segment of the natural numbers on the basis of the Fregean definitions, but do not learn the natural number structure as a whole on the basis of Hume's principle. Therefore, we need to account for some of the consistency of our number concepts with the Dedekind-Peano axioms in other terms. (shrink)

It is a hallmark of a good model to make accurate a priori predictions to new conditions (Busemeyer & Wang, 2000). This study compared 8 decision learning models with respect to their generalizability. Participants performed 2 tasks (the Iowa Gambling Task and the Soochow Gambling Task), and each model made a priori predictions by estimating the parameters for each participant from 1 task and using those same parameters to predict on the other task. Three methods were used to evaluate (...) the models at the individual level of analysis. The first method used a post hoc fit criterion, the second method used a generalization criterion for short‐term predictions, and the third method again used a generalization criterion for long‐term predictions. The results suggest that the models with the prospect utility function can make generalizable predictions to new conditions, and different learning models are needed for making short‐versus long‐term predictions on simple gambling tasks. (shrink)

Sender–receiver games, first introduced by David Lewis ([1969]), have received increased attention in recent years as a formal model for the emergence of communication. Skyrms ([2010]) showed that simple models of reinforcement learning often succeed in forming efficient, albeit not necessarily minimal, signalling systems for a large family of games. Later, Alexander et al. ([2012]) showed that reinforcement learning, combined with forgetting, frequently produced both efficient and minimal signalling systems. In this article, I define a ‘dynamic’ sender–receiver game (...) in which the state–action pairs are not held constant over time and show that neither of these two models of learning learn to signal in this environment. However, a model of reinforcement learning with discounting of the past does learn to signal; it also gives rise to the phenomenon of linguistic drift. 1 Introduction2 Dynamic Signalling Games with Reinforcement Learning2.1 Introducing new states2.2 Swapping state–action pairs3 Discounting the Past3.1 Learning to signal in a dynamic world3.2 An unexpected outcome: linguistic drift4 ConclusionAppendix: A Markov Chain Analysis. (shrink)

The field of Philosophy and Education seems to be experiencing a renewed interest in the work of Aristotle. As recently reviewed by Curren (Oxf Rev Educ 36(5):543–559, 2010), most of this attention aligns with the virtue ethics movement where themes like moral development in education, and the inquiry on human flourishing as the aim of education are prevalent. For sources, this scholarship relies heavily and extensively on the Nicomachean Ethics and Politics’ Book VIII where Aristotle develops his single, clearly defined (...) account of education. Among the short list of scholars who include Poetics in their research, their work seems to return to issues of morality and education (Carr in J Aesthet Educ 44(3):1–15, 2010; Gupta in J Aesthet Educ 44(4):60–80, 2010). This paper is an attempt to rediscover Aristotle’s insights on the peculiar type of learning that the arts seem to favor. In order to carry on this investigation, I will first guide my argument towards Aristotle’s remarks on poiesis. Then, I will focus on what constitutes the heart of poiesis, that is, mimesis. I will pay special attention to Aristotle’s consideration of both poiesis and mimesis as ultimately dealing with what he calls “possibility.” I will argue that learning in the arts entails the coming together of these three qualities. This would be a way of learning characterized by seeing human likenesses emerge as such in our interactions with artworks. (shrink)

When a user integrates a sensory substitution device into her life, the process involves perceptual learning, that is, ‘relatively long-lasting changes to an organism’s perceptual system that improve its ability to respond to its environment’ (Goldstone 1998: 585). In this paper, I explore ways in which the extensive literature on perceptual learning can be applied to help improve sensory substitution devices. I then use these findings to answer a philosophical question. Much of the philosophical debate surrounding sensory substitution (...) devices concerns what happens after perceptual learning occurs. In particular, should the resultant perceptual experience be classified in the substituted modality (as vision), in the substituting modality (as auditory or tactile), or in a new sense modality? I propose a novel empirical test to help resolve this philosophical debate. (shrink)

Proponents of cognitive penetration often argue for the thesis on the basis of combined intuitions about categorical perception and perceptual learning. The claim is that beliefs penetrate perceptions in the course of learning to perceive categories. I argue that this "diachronic" penetration thesis is false. In order to substantiate a robust notion of penetration, the beliefs that enable learning must describe the particular ability that subjects learn. However, they cannot do so, since in order to help with (...) learning they must instruct learners to employ previously existing abilities. I argue that a better approach recognizes that we can have sophisticated causal precursors to perceptual learning, but that the learning process itself must operate outside of cognitive influence. (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)

To better prepare students for active and thoughtful participation in a democratic society, civic education should foster an array of civic competencies. Cultivating student civic agency—an under-studied civic competency—is of particular importance to equip students to authentically use their voice in their communities. But what does it look like to foster student civic agency in a classroom setting? This article leverages a social and emotional learning (SEL) framework to uncover the active curricular ingredients and educational mechanisms through which a (...) student-led civics curriculum has fostered civic agency. In this multi-site case study, we analyze the implementation of an eighth grade student-led civics curriculum in a northeastern U.S. state. We outline how implicit SEL processes in these classrooms, stemming from a pedagogical focus on “changemakers,” supported development of civic agency. We found that the changemakers theme facilitated student exploration of their own civic identity and values, while prompting students to critically examine political power structures. Notably, the theme also helped students to develop a narrative of self as changemakers and to envision themselves actively engaged in civic spaces. This study adds insights to growing evidence on the multi-faceted benefits that civically-oriented SEL may offer to preparing young people to engage in democracy. (shrink)

The relatedness between a country or a firm and a product is a measure of the feasibility of that economic activity. As such, it is a driver for investments at a private and institutional level. Traditionally, relatedness is measured using networks derived by country-level co-occurrences of product pairs, that is counting how many countries export both. In this work, we compare networks and machine learning algorithms trained not only on country-level data, but also on firms, which is something not (...) much studied due to the low availability of firm-level data. We quantitatively compare the different measures of relatedness, by using them to forecast the exports at the country and firm level, assuming that more related products have a higher likelihood to be exported in the future. Our results show that relatedness is scale dependent: the best assessments are obtained by using machine learning on the same typology of data one wants to predict. Moreover, we found that while relatedness measures based on country data are not suitable for firms, firm-level data are very informative also for the development of countries. In this sense, models built on firm data provide a better assessment of relatedness. We also discuss the effect of using parameter optimization and community detection algorithms to identify clusters of related companies and products, finding that a partition into a higher number of blocks decreases the computational time while maintaining a prediction performance well above the network-based benchmarks. (shrink)

In an attempt to bridge the vast divide between classical Asian thought and contemporary Western philosophy, Joel J. Kupperman finds that the two traditions do not, by and large, supply different answers to the same questions. Rather, each tradition is searching for answers to their own set of questions--mapping out distinct philosophical investigations. In this groundbreaking book, Kupperman argues that the foundational Indian and Chinese texts include lines of thought that can enrich current philosophical practice, and in some cases provide (...) uniquely sophisticated insights. Special attention is given to the ethical issues of formation and fluidity of self, the nature and possibilities of choice, the compartmentalization of life implicit in some ethical systems, the variations of ethical demands from person to person, and the nature of philosophy itself as a communicative activity. This study will provide a wealth of information for philosophers seeking a closer knowledge of Asian philosophy and general readers with an interest in Eastern thought. (shrink)

This paper is a cross-cultural examination of the development of hunting skills and the implications for the debate on the role of learning in the evolution of human life history patterns. While life history theory has proven to be a powerful tool for understanding the evolution of the human life course, other schools, such as cultural transmission and social learning theory, also provide theoretical insights. These disparate theories are reviewed, and alternative and exclusive predictions are identified. This study (...) of cross-cultural regularities in how children learn hunting skills, based on the ethnographic literature on traditional hunters, complements existing empirical work and highlights future areas for investigation. (shrink)

Imprecise probabilities are an increasingly popular way of reasoning about rational credence. However they are subject to an apparent failure to display convincing inductive learning. This paper demonstrates that a small modification to the update rule for IP allows us to overcome this problem, albeit at the cost of satisfying only a weaker concept of coherence.

Informed consent is at the core of the clinical relationship. With the introduction of machine learning in healthcare, the role of informed consent is challenged. This paper addresses the issue of whether patients must be informed about medical ML applications and asked for consent. It aims to expose the discrepancy between ethical and practical considerations, while arguing that this polarization is a false dichotomy: in reality, ethics is applied to specific contexts and situations. Bridging this gap and considering the (...) whole picture is essential for advancing the debate. In the light of the possible future developments of the situation and the technologies, as well as the benefits that informed consent for ML can bring to shared decision-making, the present analysis concludes that it is necessary to prepare the ground for a possible future requirement of informed consent for medical ML. (shrink)

This essay responds to recent philosophical interest in the Anthropocene by asking : Can and should educators adopt, form, transmit, teach ways of living to maintain, if not enhance Earth’s habitability, especially its habitability for diverse children? This inquiry therefore calls for conceptual study of learning to live through the Anthropocene—with, despite, after, before, amid, among, away from, and against its myriad harms, possible and actual, especially its harms to children. Examining cases of environmental racism in Checker’s Polluted Promises, (...) and other cases of environmental threats to children’s health, in Steingraber’s Raising Elijah, this study begins by proposing the ecological gap in philosophy of education consequential for children resides within another epistemological gap, variously designated gender gap, love gap, care gap. Ruddick’s maternal thinking provides a conceptual frame for theorizing three moral aims of learning to live in the Anthropocene that might inform public schooling. (shrink)

Archaeologists have proposed that behavioral knowledge of a tool can be conceptualized as a “recipe”—a unit of cultural transmission that combines the preparation of raw materials, construction, and use of the tool, and contingency plans for repair and maintenance. This parallels theories in cognitive psychology that behavioral knowledge is hierarchically structured—sequences of actions are divided into higher level, partially independent subunits. Here we use an agent-based simulation model to explore the costs and benefits of hierarchical learning relative to holistic (...) learning, where entire behavioral sequences are learned in an all-or-nothing fashion, and diffusionist learning, where actions are completely independent. Hierarchical learning is favored under the reasonable assumptions that learning is associated with some degree of both error and cost, and that behavior can be grouped into subunits that repeat in one or more tool recipes. These general predictions can be tested in the archaeological and ethnographic record. Recent advances in evolutionary developmental biology have revealed a number of parallels between the hierarchically structured, recipe-like organization of behavioral knowledge that we examine here and the manner in which biological organisms develop. (shrink)

Developmental psychologists have long recognized the extraordinary influence of action on learning (Held & Hein, 1963; Piaget, 1952). Action experiences begin to shape our perception of the world during infancy (e.g., as infants gain an understanding of others’ goal-directed actions; Woodward, 2009) and these effects persist into adulthood (e.g., as adults learn about complex concepts in the physical sciences; Kontra, Lyons, Fischer, & Beilock, 2012). Theories of embodied cognition provide a structure within which we can investigate the mechanisms underlying (...) action’s impact on thinking and reasoning. We argue that theories of embodiment can shed light on the role of action experience in early learning contexts, and further that these theories hold promise for using action to scaffold learning in more formal educational settings later in development. (shrink)

Despite the accumulation of substantial cognitive science research relevant to education, there remains confusion and controversy in the application of research to educational practice. In support of a more systematic approach, we describe the Knowledge-Learning-Instruction (KLI) framework. KLI promotes the emergence of instructional principles of high potential for generality, while explicitly identifying constraints of and opportunities for detailed analysis of the knowledge students may acquire in courses. Drawing on research across domains of science, math, and language learning, we (...) illustrate the analyses of knowledge, learning, and instructional events that the KLI framework affords. We present a set of three coordinated taxonomies of knowledge, learning, and instruction. For example, we identify three broad classes of learning events (LEs): (a) memory and fluency processes, (b) induction and refinement processes, and (c) understanding and sense-making processes, and we show how these can lead to different knowledge changes and constraints on optimal instructional choices. (shrink)

While the use of archives is common as a research methodology in the history and philosophy of science, training in archival methods is more often encountered as part of graduate-level training than in the undergraduate curriculum. Because many HPS instructors are likely to have encountered archival methods during their own research training, they are uniquely positioned to make effective pedagogical use of archives in classes comprised of undergraduate science students. Further, because doing this may require changing the way HPS instructors (...) think about the aims and varieties of archival research, archivists themselves can be valuable resources in developing archives-based learning activities for science students in HPS classrooms. In this article, we describe an archives-based learning activity developed for a population of primarily pre-medical students in a healthcare ethics class and discuss the pedagogical benefits of this activity. This activity was developed via a collaboration between an HPS instructor and an education archivist. Our hope is that this discussion may serve both as a proof of concept for the use of archives-based learning activities as tools for teaching HPS to science students, and as an argument for the unique benefits that archival engagement can impart to science students. (shrink)

Exemplarism – the view that exemplary people, whom we admire, are the bearers of our moral concepts – presents considerable challenges to the (widely-assumed) place of moral theory in how we learn to be moral. Exemplarism has been garnered by Amy Olberding to articulate a Confucian approach to moral learning. This paper extends Exemplarism by considering how it may be put into practice, based on a seminal Confucian text, the Analects of Confucius. To date, the majority of discussions on (...) Confucian ethics that have brought Confucian philosophy to the attention of Anglophone scholars tend to focus on conceptually-based matters. There remain questions regarding how these values may be inculcated and embodied in our moral lives. Central to our proposal is the practice of reflective observation (guan 觀), comprised by three integrated components: observation, evaluation, and emulation. Observing, reflectively, is important not only for an individual’s acculturation to existing norms and practices but also for how they may subsequently exercise some latitude over their moral practices. Our reflections offer a practical approach to Confucian moral learning. In doing so, we demystify moral learning in Confucianism and open up avenues for future cross-tradition dialogues on moral education. (shrink)

Ethical instruction is critical for trainee accountants. Various teaching methods, both active and passive, are normally utilised when teaching accounting ethics. However, students’ learning styles are rarely assessed. This study evaluates the learning styles of accounting students and assesses the interaction of teaching methods and learning styles in an ethics instruction environment. The ethical attitudes and preferred learning styles of a cohort (137) of final year accounting students were evaluated pre-instruction. They were then subject to three (...) different teaching methods while studying ethics during an auditing course. When ethical attitudes and preferred learning styles were re-assessed post-instruction, the teaching methods were found to have influenced active learners more than passive ones. Furthermore, when learning styles matched teaching methods used, usefulness was assessed as high but when learning styles and teaching methods differed, usefulness deteriorated significantly. Students displayed a preference for passive learning styles, despite being so advanced in their education. The implications are that instructors should consider learning styles before deciding on appropriate teaching methods, in accounting ethics environments. (shrink)

We consider two players each of whom attempts to predict the behavior of the other, using no more than the history of earlier predictions. Behaviors are limited to a pair of options, conventionally denoted by 0, 1. Such players face the problem of learning to coordinate choices. The present paper formulates their situation recursion theoretically, and investigates the prospects for success. A pair of players build up a matrix with two rows and infinitely many columns, and are said to (...) “learn” each other if cofinitely many of the columns show the same number in both rows (either 0 or 1). Among other results we prove that there are two collections of players that force all other players to choose their camp. Each collection is composed of players that learn everyone else in the same collection, but no player that learns all members of one collection learns any member of the other. (shrink)

The sequence-in/sequence-out cerebellar machinery is considered from the computational point of view. We outline a learning framework which discriminates short-term from long-term learning and is able to explain single-trial adaptation to unexpected loads.

This paper provides a broad bibliometric overview of the important conceptual advances that have been published during COVID-19 within “e-learning in higher education.” E-learning as a concept has been widely used in the academic and professional communities and has been approved as an educational approach during COVID-19. This article starts with a literature review of e-learning. Diverse subjects have appeared on the topic of e-learning, which is indicative of the dynamic and multidisciplinary nature of the field. (...) These include analyses of the most influential authors, of models and networks for bibliometric analysis, and progress towards the current research within the most critical areas. A bibliometric review analyzes data of 602 studies published in the Web of Science database to fully understand this field. The data were examined using VOSviewer, CiteSpace, and KnowledgeMatrix Plus to extract networks and bibliometric indicators about keywords, authors, organizations, and countries. The study concluded with several results within higher education. Many converging words or sub-fields of e-learning in higher education included distance learning, distance learning, interactive learning, online learning, virtual learning, computer-based learning, digital learning, and blended learning. This research is mainly focused on pedagogical techniques, particularly e-learning and collaborative learning, but these are not the only trends developing in this area. The sub-fields of artificial intelligence, machine learning, and deep learning constitute new research directions for e-learning in light of COVID-19 and are suggestive of new approaches for further analysis. (shrink)