This book examines the question of why 'play' is a happy and benevolent verb in childhood, yet a subjective label of behaviour in adulthood. It studies the transformation of the positively labelled term 'child's play', used to refer to our early years, into an aberrance or deviation from normal social relationships in later life, when we speak of playing up or playing around. It answers the question by proposing play as a theory of learning, an ideology that circumscribes behaviour, (...) and a way of thinking. Written by scholars of early childhood through to further and higher education, the book presents research on play enacted in a way that arches beyond the specificity of age groups or predictive, normative patterns. It is international in its focus, moving beyond insular, inward and parochial educational standards and limitations in one city, province, state or nation. Finally, it demonstrates the value of play to educational policy and theories of learning.. (shrink)

Evolution and learning are two analytically distinct concepts. People learn yet evolution (`change') does not necessarily take place. To clarify this problem the concept of learning is explicated. The first problem addressed is the question of who is learning. Here a shift from the single actor perspective to an interaction perspective is proposed (using Habermas and Luhmann as theoretical arguments for such a shift). Both, however, idealize the preconditions that interactants share while learning collectively. Against (...) rationalist assumptions it is argued that in order to learn people need a narratively based shared world. What do they learn? They acquire knowledge and they learn how to learn. This still does not solve the problem why they learn. Learning, it is argued, does not guarantee evolution but provides the mutations for evolutionary processes to take place. (shrink)

Ce texte a déjà paru dans Nicolaides, A. & Holt D. , Spaces of Transformation and Transformation of Space, Proceedings of the XIth Transformative Learning Conference. New York : Teachers College, Columbia University, 2014, p. 107-109. Nous remercions Michel Alhadeff-Jones de nous avoir proposé de le reproduire ici. My research around the paradigm of complexity and the temporal and rhythmic dimensions of education - Sociologie – Nouvel article.

This book looks at how the notion of the learning society has developed over the years, and how, and why, flexibility has become a more central concept in much policy and academic debate.

Accuracy-first accounts of rational learning attempt to vindicate the intuitive idea that, while rationally-formed belief need not be true, it is nevertheless likely to be true. To this end, they attempt to show that the Bayesian's rational learning norms are a consequence of the rational pursuit of accuracy. Existing accounts fall short of this goal, for they presuppose evidential norms which are not and cannot be vindicated in terms of the single-minded pursuit of accuracy. I propose an alternative (...) account, according to which learning experiences rationalize changes in the way you value accuracy, which in turn rationalize changes in belief. I show that this account is capable of vindicating the Bayesian's rational learning norms in terms of the single-minded pursuit of accuracy, so long as accuracy is rationally valued. (shrink)

Animals routinely adapt to changes in the environment in order to survive. Though reinforcement learning may play a role in such adaptation, it is not clear that it is the only mechanism involved, as it is not well suited to producing rapid, relatively immediate changes in strategies in response to environmental changes. This research proposes that counterfactual reasoning might be an additional mechanism that facilitates change detection. An experiment is conducted in which a task state changes over time (...) and the participants had to detect the changes in order to perform well and gain monetary rewards. A cognitive model is constructed that incorporates reinforcement learning with counterfactual reasoning to help quickly adjust the utility of task strategies in response to changes. The results show that the model can accurately explain human data and that counterfactual reasoning is key to reproducing the various effects observed in this change detection paradigm. (shrink)

Graduate students’ failure to graduate is of great concern, with the failure to graduate due to the dissertation being the most influential factor. However, there are many factors that influence the writing of a dissertation, and research on these factors that influence graduate students’ learning through emotion and cognition is still quite rare. A review of past research revealed that the main factor causing graduate students to drop out midway is not completing their thesis, followed by factors including insufficient (...) achievement motivation, lack of learning strategy, and low confidence. The graduation rate of graduate students has been emphasized by the academic community; therefore, this study investigated the correlation between graduate students’ achievement motivation, active learning, and academic confidence in writing research. The study invited graduated students from two universities of science and technology situated in the northern region of Taiwan to complete the questionnaire. In this study, valid data for validation analysis were collected from 173 respondents, and the results showed that achievement motivation positively influenced active learning and that active learning positively influenced academic confidence. From the above findings, it can be seen that to help graduate students from University of Science and Technology to effectively complete their graduate studies, students should develop good motivation to adopt active learning strategies to enhance their academic self-confidence. (shrink)

We argue why interpretability should have primacy alongside empiricism for several reasons: first, if machine learning models are beginning to render some of the high-risk healthcare decisions instead of clinicians, these models pose a novel medicolegal and ethical frontier that is incompletely addressed by current methods of appraising medical interventions like pharmacological therapies; second, a number of judicial precedents underpinning medical liability and negligence are compromised when ‘autonomous’ ML recommendations are considered to be en par with human instruction in (...) specific contexts; third, explainable algorithms may be more amenable to the ascertainment and minimisation of biases, with repercussions for racial equity as well as scientific reproducibility and generalisability. We conclude with some reasons for the ineludible importance of interpretability, such as the establishment of trust, in overcoming perhaps the most difficult challenge ML will face in a high-stakes environment like healthcare: professional and public acceptance. (shrink)

The article analyzes distance learning and educational processes, such as education, pedagogical technologies, methods and upbringing in the context of globalization trends in the postmodern world. The new technologies, which have prompted and eventually led to globalization processes, indicate the need to master these new technologies since teaching today requires one to apply one’s professional results efficiently. The trend of education is globalization, which seems inevitable under a dramatically changing educational reality. Global education is defined as one of the (...) areas in the development of current pedagogical theory and practice. It aims to prepare learners for professional activities in a changing and increasingly interdependent world. Indeed, globalization lies in implementing and using internet technologies in education. Recognizing the multiplicity of meanings and views, the postmodern society is entering a state of crisis. It is because the Covid-19 pandemic and, consequently, new living conditions associated with it, require a new worldview. In this regard, education reforms are becoming a priority, given that the 21st century is the age of information and nanotechnologies. Information technology is a prerequisite for teacher training today. At the same time, informatization of education is impossible without creating, using and developing informational and educational environments, which in turn should enable the realization of an intellectually developed individual embodying the necessary professional qualities. (shrink)

This book provides everything administrators and teachers need to build service-learning programs that prepare students as engaged citizens committed to equity and justice. Cipolle describes practical strategies for classroom teachers along with the theoretical framework so readers can deftly move beyond the book to a meaningful program for their schools.

Children’s cognitive control and knowledge at school entry predict growth rates in analogical reasoning skill over time; however, the mechanisms by which these factors interact and impact learning are unclear. We propose that inhibitory control (IC) is critical for developing both the relational representations necessary to reason and the ability to use these representations in complex problem solving. We evaluate this hypothesis using computational simulations in a model of analogical thinking, Discovery of Relations by Analogy/Learning and Inference with (...) Schemas and Analogy (DORA/LISA; Doumas et al., 2008 ). Longitudinal data from children who solved geometric analogy problems repeatedly over 6 months show three distinct learning trajectories though all gained somewhat: analogical reasoners throughout, non-analogical reasoners throughout, and transitional – those who start non-analogical and grew to be analogical. Varying the base level of top-down lateral inhibition in DORA affected the model’s ability to learn relational representations, which, in conjunction with inhibition levels used in LISA during reasoning, simulated accuracy rates and error types seen in the three different learning trajectories. These simulations suggest that IC may not only impact reasoning ability but may also shape the ability to acquire relational knowledge given reasoning opportunities. (shrink)

In this essay, Rosa Bruno-Jofré and George Hills examine two major Ontario policy documents: 1968's Living and Learning and 1994's For the Love of Learning. The purpose is, first, to gain insight into the uses of the term “excellence” in the context of discourse about educational aims and evaluation, and, second, to explore how these uses may have changed over time. Bruno-Jofré and Hills employ the conceptual framework developed by Madhu Prakash and Leonard Waks to elucidate the varied (...) notions of excellence contained in the two reports. Bruno-Jofré and Hills argue that Living and Learning is an eclectic report that creates continuity by aligning itself with the pedagogically progressive tradition in Ontario; that propounds a holistic conception of excellence centered on the all-around development of the self; and that seeks simultaneously to secure a sense of being Canadian while dealing with rapidly emerging social fragmentation. For the Love of Learning, in contrast, attempts to combine a technical view of excellence in education (stressing various literacies and skills as measurable indicators) with the principles of caring and the goals of social responsibility. Each report can be seen as an attempt to respond to the expectations of a population that had become increasingly diverse in the interval between the two reports. What is cause for concern in terms of policymaking, Bruno-Jofré and Hills conclude, is the turn away from broader, more comprehensive and coherent views of excellence in education toward narrower and more fragmented accounts that are preoccupied with various types of literacy or loosely related vocational and other skills. The effect of this shift is to leave educational policy and practice in the schools essentially rudderless. (shrink)

Language learning requires linguistic input, but several studies have found that knowledge of second language rules does not seem to improve with more language exposure. One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we reanalyzed grammaticality judgment scores in Flege, Yeni-Komshian, and Liu's study of L2 learners using rule-related predictors and found that, in addition to the overall drop in performance due to a sensitive (...) period, L2 knowledge increased with years of input. Knowledge of different grammar rules was negatively associated with input frequency of those rules. To better understand these effects, we modeled the results using a connectionist model that was trained using Korean as a first language and then English as an L2. To explain the sensitive period in L2 learning, the model's learning rate was reduced in an age-related manner. By assigning different learning rates for syntax and lexical learning, we were able to model the difference between early and late L2 learners in input sensitivity. The model's learning mechanism allowed transfer between the L1 and L2, and this helped to explain the differences between different rules in the grammaticality judgment task. This work demonstrates that an L1 model of learning and processing can be adapted to provide an explicit account of how the input and the sensitive period interact in L2 learning. (shrink)

Inquiry-based learning has the potential to foster conceptual change, but whether it can induce an advancement in strategy use is not yet known. Such an advancement seems plausible, because conceptual change can be reflected in the use of new strategies. Whether inquiry-based learning leads to advancement in strategy use can be tested with strategy-based tests, such as the balance beam test. Distinct strategies have been proposed and identified for this test. Therefore, the present study compared response (...) patterns on the balance beam test before and after an inquiry-based lesson. The experimental condition completed a digital inquiry-based lesson about the balance beam ( n = 113), and the control condition completed a similar inquiry-based lesson but investigated a different topic ( n = 44). The participants were aged 8–13 years old and were unfamiliar with the law of moments. The balance beam test (pretest and posttest) consisted of 25 items. Overall accuracy in solving balance beam problems improved after the inquiry-based lesson in the balance beam (BB) condition but not in the control condition. Classes, identified with latent transition analysis (LTA), appeared to be globally in line with previously identified strategies in the balance beam test. Condition was entered as a covariate in the LTA to identify which changes in strategy use could be attributed to the experimental intervention. First, changes from pretest to posttest were found, which supported that a change in strategy use occurred in some children. Second, there were more improvements in the BB condition, and these improvements indicated larger gains compared to the control condition. This means that in science education, it is important to map out prior knowledge and its effect on learning paths. Overall, results suggested that conceptual change could be measured as a change in strategy use and modeled with LTA to reveal that 26% of the children showed conceptual change after a single inquiry-based lesson. (shrink)

The work of creating the future is being done now ─ and much of it is unsustainable in terms of natural and cultural resources. How will the next generation of leadership for environmental sustainability be raised up? Can we imagine sustainable futures, and can we enable transformative leadership to help us realize them? How can we best ensure that the several generations share their particular knowledge? What are the ethical frameworks, methodologies, curricula, and tools necessary for advancing and strengthening education (...) for intergenerational sustainability learning and leadership? In this book, 82 authors from 26 countries across 6 continents seek answers in 32 essays to the many questions related to the intergenerational collaboration that holds promise for creating sustainable futures. The authors themselves represent a diversity of geography, gender, and generation ─ and include the institutions comprising the emerging International Intergenerational Net-work of Centers. They speak to key principles, perspectives, and praxes at the intersection of intergenerational learning and transformative leadership in the context of education for sustainability. A visionary tour de force, this book explores the challenges and complexities of future learning models beyond the UN Decade of Education for Sustainable Development. It provides a timely discourse encompassing intergenerational and cultural dimensions, including ethics. Contributors articulate a deeper understanding of leadership in the post-Enlightenment era. Chapters in the book offer examples cutting across a diverse range of experiences worldwide, making this volume not only refreshing for practitioners, but also invaluable to policy-makers. ─ Dzulkifli Abdul Razak President, International Association of Universities Former Vice-Chancellor, Universiti Sains Malaysia These are critical times for the global community. Big issues are on the table: security, climate change, environmental destabilization, disease, hunger, and others. Actions we take today must embrace lessons from the past, present realities, and the rights and interests of future generations. Indeed, intergenerational learning is vital to education for sustainable development. This book makes a very timely and urgent call, challenging our traditional learning approaches and inviting us to dig deeper, stretch our minds wider, and see farther. ─ Akpezi Ogbuigwe Former Head of Environmental Education and Training, United Nations Environment Programme Executive Chairperson, Anpez Center for Environment and Development, Port Harcourt, Nigeria Achieving sustainable development requires generations, young and old, to engage with and learn from each other, and for leadership to embrace change. That is one of the key messages of this remarkable book. I wish I had this book when I took up the leadership role of my university two decades ago. I wish I could have given this book to my sons as they started their university education. ─ Goolam Mohamedbhai Former Secretary-General, Association of African Universities Honorary President, International Association of Universities. (shrink)

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)

ABSTRACTIn the present study, we refer to Carr's theory on the nature of educational practice for evaluating teaching as a praxis in relation to two major changes, i.e. ubiquitous learning and massive communication caused by MOOCs. With regard to the first change, we argue that the teacher is faced with the problem of encouraging the learners to get involved in the educational activities. The second change has resulted in a reduction of teacher’s agency and loss of teaching (...) legitimacy and hence its natural feature as a morally committed action. In addition, massive communication has affected the potential encounters between teacher and student considered as the ‘Other’ and has replaced conversation with texting. We highlight the significance of teacher-student conversation as an essential element for developing reflection and self-reflection capacities. Finally, we discuss that the responsibility of teaching is beyond designing and implementing education technically through MOOCs. (shrink)

The scientific study of consciousness or subjective experiencing is a rapidly expanding research program engaging philosophers of mind, psychologists, cognitive scientists, neurobiologists, evolutionary biologists and biosemioticians. Here we outline an evolutionary approach that we have developed over the last two decades, focusing on the evolutionary transition from non-conscious to minimally conscious, subjectively experiencing organisms. We propose that the evolution of subjective experiencing was driven by the evolution of learning and we identify an open-ended, representational, generative and recursive form of (...) associative learning, which we call Unlimited Associative Learning (UAL), as an evolutionary transition marker of minimal consciousness. This evolutionary marker provides evidence that the evolutionary transition to consciousness has gone to completion and allows reverse-engineering from this learning capacity to the system that enables it – making possible the construction of a toy model of UAL. The model allows us to identify some of the key processes and structures that constitute minimal consciousness, points its taxonomic distribution and the ecological context in which it first emerged, highlights its function and suggests a framework for exploring developmental and evolutionary modifications of consciousness. We point to ways of experimentally testing the relationship between UAL and consciousness in human and in non-human animals and discuss the theoretical and ethical implications of our approach. The framework we offer allows the exploration of the evolutionary changes in agency, value systems, selective processes and goals that were involved in the transition to subjective experiencing from a perspective that resonates with the approaches of bio-semioticians. (shrink)

The discipline of theology is now more exposed comparatively because of its low ‘market value’ and diminishing student numbers. Better informed ways of understanding the religious world students inhabit and invariably bring into the average theology classroom in the UK will serve to enhance teaching and learning and potentially their student numbers. Change is required if theological institutions are going to remain competitive in attracting students from abroad, with the apparent emphasis on content of knowledge shifting to one (...) of content of character which is formed in and through learning. (shrink)

This study investigates the effects of visual mnemonics and the methods of presenting learning materials on learning visually similar characters for Chinese-as-second-language (CSL) learners. In supporting CSL learners to build robust orthographic representations in Chinese, addressing the challenges of visual similarity of characters (e.g., 理 and 埋) is an important issue. Based on prior research on perceptual learning, we tested three strategies that differ in the extent to which they promote interrelated attention to the form and meaning (...) of characters: (1) Stroke Sequence, aform-emphasisstrategy, (2) Key-images, aform+meaningstrategy utilizing visual code, (3) Pithy Formulas with Key-images, aform+meaningstrategy combining visual and verbal codes. A pretest–posttest equivalent-group design was adopted. The independent variables were the learning strategy, the method of presenting character pairs (visually similar vs. dissimilar), and testing time. The dependent variables were learners’ proportions of accurate responses to reading and writing Chinese characters through a posttest (immediately performed after learning) and a delayed posttest (1 week after learning); a learner experience survey was also administered to investigate learners’ opinions on each strategy. Sixty-six non-beginning learners of Chinese participated; they were randomly assigned to one of the two groups in which participants learned ten charactersviathe three strategies, respectively, differing between whether the characters were presented in similar pairs or dissimilar pairs. Data were analyzedviathree-way ANCOVAs. The Pithy Formulas with Key-images and the Key-images generally yielded higher writing accuracy than Stroke Sequence immediately after learning. Notably, the advantage of the Pithy Formulas with Key-images (verbal and visual) over the Key-images (visual) on writing was specific to the participants that learned with visually similar pairs rather than those that learned with dissimilar pairs. All strategies were effective for reading, yet learners’ experience ratings favored the twoform+meaningstrategies over the strategy that focused primarily onform.Suggestions for future research and pedagogical implications on learning visually similar characters were offered. (shrink)

Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of (...) synthetic audiovisual media, its place within a broader taxonomy of audiovisual media, and how deep learning techniques differ from more traditional approaches to media synthesis. After reviewing important etiological features of deep learning pipelines for media manipulation and generation, I argue that “deepfakes” and related synthetic media produced with such pipelines do not merely offer incremental improvements over previous methods, but challenge traditional taxonomical distinctions, and pave the way for genuinely novel kinds of audiovisual media. (shrink)

The COVID-19 pandemic has had a significant impact on education worldwide. The disease first hit China and numerous Chinese cities then started to conduct online courses. Therefore, this study aims to explore the effect of the Shanghai students’ emotional intelligence, learning motivation, and self-efficacy on their academic achievement when they participated in online English classes during the latter phase of the pandemic in China. Furthermore, the research also examines whether the students’ emotional intelligence can influence their academic achievement through (...) the mediation effect of their learning motivation and self-efficacy. Social Cognitive Theory and the social cognitive Expectancy-Value Model were employed to build the research framework, and the method of structural equation modeling was utilized to conduct the model verification. Ten universities in Shanghai, China were selected for sampling. In total, 450 students were surveyed of which 404 questionnaires were valid. The results show that the students’ emotional intelligence did not directly affect their academic achievement. Nevertheless, the students’ emotional intelligence had a positive effect on their learning motivation and self-efficacy. In addition, mediation analysis showed that the relation between emotional intelligence and academic achievement was sequentially mediated by learning motivation and self-efficacy. (shrink)

Although emerging evidence has implicated structural/functional abnormalities of patients with Autism Spectrum Disorder, definitive neuroimaging markers remain obscured due to inconsistent or incompatible findings, especially for structural imaging. Furthermore, brain differences defined by statistical analysis are difficult to implement individual prediction. The present study has employed the machine learning techniques under the unified framework in neuroimaging to identify the neuroimaging markers of patients with ASD and distinguish them from typically developing controls. To enhance the interpretability of the machine (...) class='Hi'>learning model, the study has processed three levels of assessments including model-level assessment, feature-level assessment, and biology-level assessment. According to these three levels assessment, the study has identified neuroimaging markers of ASD including the opercular part of bilateral inferior frontal gyrus, the orbital part of right inferior frontal gyrus, right rolandic operculum, right olfactory cortex, right gyrus rectus, right insula, left inferior parietal gyrus, bilateral supramarginal gyrus, bilateral angular gyrus, bilateral superior temporal gyrus, bilateral middle temporal gyrus, and left inferior temporal gyrus. In addition, negative correlations between the communication skill score in the Autism Diagnostic Observation Schedule and regional gray matter volume in the gyrus rectus, left middle temporal gyrus, and inferior temporal gyrus have been detected. A significant negative correlation has been found between the communication skill score in ADOS_G and the orbital part of the left inferior frontal gyrus. A negative correlation between verbal skill score and right angular gyrus and a significant negative correlation between non-verbal communication skill and right angular gyrus have been found. These findings in the study have suggested the GM alteration of ASD and correlated with the clinical severity of ASD disease symptoms. The interpretable machine learning framework gives sight to the pathophysiological mechanism of ASD but can also be extended to other diseases. (shrink)

The last few years have seen unprecedented changes in schools in England and Wales, as the government attempts to raise standards by a radical programme of educational reforms. This book reports the outcome of a major research programme - funded by the Economic and Social Research Council - on teaching and learning in the context of the current reforms. Written by some of the country's leading educational researchers, the book covers a wide range of ages and curriculum areas. It (...) provides much needed insight into the nature of teaching and learning, as well as practical advice for teachers, policy makers and parents. (shrink)

Southern Africa, where most of these book chapters originate, has been identified as one of regions of the world most at risk of the consequences of environmental degradation and climate change. At the same time, it is still seeking ways to overcome the century long ravages of colonial and apartheid impositions of structural and epistemic violence. Research deliberations and applied research case studies in environmental education and activism from this region provide an emerging contextualized engagement that is related to (...) a wider internationally articulated quest to achieve social-ecological justice, resilience and sustainability through educational interventions. This book introduces a decade of mainly southern African critical realist environmental education research and thinking that asks the question: "How can we facilitate learning processes that will lead to the flourishing of the Earth’s people and ecosystems in more socially just ways?" The environmental education research topics represented in this book are wide-ranging. However, they all exhibit the common theme of social justice and wanting to create change towards a better future. All the authors have used critical realist or critical realist-influenced research methodologies. Offering contributions from a small but growing community of researchers working with critical realism in the global South, this book will be of interest to students, scholars and practitioners in the areas of environmental education, sustainability, development and the philosophy of critical realism in general. (shrink)

The age of global risks and changes that have come into play where stable development used to be a norm and the era of postmodernism, as a possibility of the multiplicity of meanings and solutions, determine the vectors of human development in the 21st century. Human society is undergoing changes, digital technologies are increasingly penetrating various domains of life, and it has become clear, they are here to stay because they are already changing life itself. The postmodern generation, consumed by (...) "virtual reality", sees the world differently. They need knowledge different from what previous generations used where knowledge itself requires new methods of education. With all positive and negative implications, the e-learning format has established itself as a viable education option in times of the world pandemic. The way this learning format transforms the higher education system is irrevocable. Thus, an increasing number of universities are integrating online and personalized components into their courses. However, the role of the teacher remains invariably important. Although methods and format of their work may adjust and alter, it is the teacher who passes on human experience, imbues knowledge with emotional coloring and encourages reflection and reasoning. Therefore, the e-learning system rests on two factors, namely, the presence on the Internet and the development of student-teacher relations. All available research and resources are currently aimed at improving technical capabilities, whereas the "student-learner" system needs to be reconsidered. It will not be destroyed in the new conditions, rather transformed into new forms. (shrink)

The contribution that may come from the general science of signs, semiotics, to the planning and development of education and learning at all levels, from early schooling through to university education and learning should not be neglected. As Umberto Eco claims in the “Introduction” to the Italian edition of his book Semiotica and Philosophy of Language (1984: xii, my trans.), “[general semiotics] is philosophical in nature, because it does not study a particular system, but posits the general categories (...) in light of which different systems can be compared. And for general semiotics philosophical discourse is neither advisable nor urgent: it is simply constitutive.” To the title of their book Semiotic Theory of Learning, at the centre of our attention in the present text, Andrew Stables, Winfried Nöth, Alin Olteanu, Sébastien Pesce, and Eetu Pikkarainen, rightly add the subtitle New Perspectives in the Philosophy of Education. This multivoiced contribution to research in learning and education in a semiotic framework has a unifying reference in the semiotics of Charles S. Peirce, but without disregarding an array of other distinguished exponents of the teaching and education sciences from different disciplines, semioticians and philosophers alike. This book, a polyphonic effort, with its appeal to “act otherwise,” and to do so investing in learning and education, no doubt makes a significant contribution in such a direction: education for transformation, for humanizing social change. Beyond evidencing what to us are particularly interesting aspects of the topics under discussion in Semiotic Theory of Learning, we also propose to continue and amplify this multivoiced dialogue. While highlighting still other aspects and contributions made by the same semioticians and philosophers presented by the authors of this book, involving such figures as Charles Peirce, Charles Morris, Thomas Sebeok, John Deely, etc., we have further introduced other voices made to resound throughout, whether directly or indirectly, like that of Victoria Welby, Mikhail Bakhtin, Emmanuel Levinas, Adam Schaff, Ferruccio Rossi-Landi, Marcel Danesi, Augusto Ponzio, and Genevieve Vaughan. (shrink)

There is increasing evidence that some behavioural differences between groups of chimpanzees can be attributed neither to genetic nor to ecological variation. Such differences are likely to be maintained by social learning. While humans teach their offspring, and acquire cultural traits through imitative learning, there is little evidence of such behaviours in chimpanzees. However, by appealing only to incremental changes in motivation, attention and attention-soliciting behaviour, and without expensive changes in cognition, we can hypothesise the possible emergence of (...) imitation and pedagogy in evolutionary history. (shrink)

The article will argue that Charles Sanders Peirce's concepts of the ‘Dynamics of Belief and Doubt’, the ‘Fixation of Belief’ as well as ‘habits of belief’ taken together comprise a theory of learning. The ‘dynamics of belief and doubt’ are Peirce's explanation for the process of changing from one belief to another. Teaching, then, would be an attempt to control that process. Teaching critical thinking represents an attempt to teach the learner to regulate and discipline his or her own (...) ‘settlement of belief’. The ‘settlement of belief’ takes four different forms based on doubt. Peirce's concept of the ‘habits of belief’ refers to the inner and outer constraints placed both on belief as such and belief as it becomes action. The article may be read as both an exegesis of learning and as a pedagogical guide for teaching critical thinking to college students. (shrink)

The workshop “Machine Learning: Prediction Without Explanation?” brought together philosophers of science and scholars from various fields who study and employ Machine Learning (ML) techniques, in order to discuss the changing face of science in the light of ML's constantly growing use. One major focus of the workshop was on the impact of ML on the concept and value of scientific explanation. One may speculate whether ML’s increased use in science exemplifies a paradigmatic turn towards mere pattern recognition (...) and prediction and away from science’s traditional aim of explanation. In contrast, certain conceptions of explanation, such as statistical explanation, could turn out to fit well with the achievements of present-day ML and concede an explanatory value to these achievements after all. It is an open question how to explain ML successes themselves, and this question was in the focus of several talks in the workshop. Based on the topics raised, we will discuss the talks’ contents in more detail as organized into (i) practitioners’ perspectives, (ii) explanations from ML, (iii) explanations of ML, (iv) societal implications, and (v) global and historical perspectives. (shrink)

We design an experiment to study investment behavior in different repeated contest settings, varying the uncertainty of the outcomes and the number of participants in contests. We find decreasing over-expenditures and a higher rate of ‘dropout’ in contests with high uncertainty over outcomes, while we detect a quick convergence toward equilibrium predictions and a near to full participation when this type of uncertainty vanishes. These results are robust to changes in the number of contestants. A learning parameter estimation using (...) the experience-weighted attraction model suggests that subjects adopt different learning modes across different contest structures and helps to explain expenditure patterns deviating from theoretical predictions. (shrink)

Adopting deep approaches to learning can have a profound impact on learning outcomes. The extent of change in the learning approach could be attributed to the effect of contextual factors. After a substantive review, it was found that research interested in investigating the longitudinal effect of deep approaches to learning on learning outcomes were rarely directly concerned with the longitudinal state and trend of the approach itself. Moreover, the limitations of past analytical methods, has (...) not been appropriately acknowledged. This study examined deep approaches to learning in students from kindergarten to third grade using a multilevel structural equation modeling indicator-specific growth model. This was used to highlight the methodological issues to investigate the effect of context and the states, stability, and changes in deep approaches to learning over this developmental period. The current study comprised of a large-scale sample of 21,490 kindergarteners in kindergarten. Results showed: there was a contextual effect on the longitudinal changes of deep approaches to learning; deep approaches to learning was high but showed considerable individual differences; most indicators relating to deep approaches to learning declined, whereas the trend were relatively stable over time. Corresponding suggestions were proposed at the end of this article. (shrink)

ABSTRACTThe six basic emotions have long been considered discrete categories that serve as the primary units of the emotion system. Yet recent evidence indicated underlying connections among them. Here we tested the underlying relationships among the six basic emotions using a perceptual learning procedure. This technique has the potential of causally changing participants’ emotion detection ability. We found that training on detecting a facial expression improved the performance not only on the trained expression but also on other expressions. Such (...) a transfer effect was consistently demonstrated between disgust and anger detection as well as between fear and surprise detection in two experiments. Notably, training on any of the six emotions could improve happiness detection, while sadness detection could only be improved by training on sadness itself, suggesting the uniqueness of happiness and sadness.... (shrink)

With renewable energy being increasingly connected to power grids, pumped storage plants play a very important role in restraining the fluctuation of power grids. However, conventional control strategy could not adapt well to the different control tasks. This paper proposes an intelligent nonlinear model predictive control strategy, in which hydraulic-mechanical and electrical subsystems are combined in a synchronous control framework. A newly proposed online sequential extreme learning machine algorithm with forgetting factor is introduced to learn the dynamic behaviors of (...) the coupling system. Specifically, the initial learning parameters are optimized by prior-knowledge learning and a new self-adaptive adjustment strategy is also put forward. Subsequently, the stair-like control strategy and artificial sheep algorithm are used in rolling the optimization mechanism to replace the existing complex differential geometric solutions. Comparative experiments are carried out under different working conditions based on a PSP in China. The results show that the influence from coupling factors can be considerable and the proposed MPC strategy indicates superiority in voltage and load adjustment as well as the frequency oscillation suppression. (shrink)

Significant life events tend to cause transformational change, but most narratives in agriculture focus on how negative life events such as death, bankruptcy, and health problems have created change. International experiences can be positive, significant life events. Transformational tourism has been shown to change travelers’ behavior. Therefore, we propose to examine the perceived outcomes of international experiences by agricultural leadership alums. Unstructured interviews with 36 agricultural leadership alums from IFYE, Nuffield, and LEAD Nebraska with distinctive international experiences (...) were interviewed. The international experiences varied in purpose, time abroad, cultural immersion, structured travel, and independent study. This study answers the following questions: (1) How does international travel for producers lead to transformation? (2) How does international travel support behavior change? Data show the international experiences were impactful and transformative due to two processes that occurred during the international experience. First, agricultural leadership participants experienced disorienting events that forced them to reconsider and reject their current mental models of the agricultural system. Second, experiential learning through visiting farms, meeting producers, and spending time reflecting on what they were experiencing with their peers allowed the participants to rebuild their mental models and be inclusive of the broader agricultural system. During these two processes, the participants’ attitudes, subjective norms, and perceived behavior control of new agricultural practices, sustainable agriculture, and possible options within the agricultural system expanded. Short-term international experiences were an important gateway to further international experiences. Longer-term international experiences that involved independent study, cultural immersion, and global network development supported the adoption of sustainable agriculture through perceived attitudes, social norms, and behavioral control. To support transformational change in the agricultural system, we need as many tools as possible to support practitioners. International experiences provide a tool to support transformational change. (shrink)