Previous studies have shown that the use of motivational regulation strategies has the potential to sustain invested effort and persistence in the learning process. Combining different methods (questionnaires and standardized diaries), the present study aimed to determine the role of motivational regulation in an exam preparation period. Motivational regulation is differentiated in a quantitative (extent of strategy use) and a qualitative (planning, implementing, monitoring and correcting strategy use) aspect. One hundred and fifteen university students reported the quantity and (...) quality of their motivational regulation strategy use in a pretest and kept a standardized learning diary focused on motivational difficulties and invested effort over a 14-day period just before an exam in their studies. Exam performance was assessed afterwards. Results revealed positive effects of both aspects of motivational regulation on invested effort in exam preparation and exam performance. Moreover, a high quality of motivational regulation was associated with reduced negative effects of motivational difficulties on invested effort during studying—implying that motivational regulation can buffer against specific motivational problems occurring in the learning process. (shrink)

Due to the variety of research ethics and integrity training formats it may be challenging to use a common instrument to monitor and evaluate the development of competencies and learning progress as well as determine the effectiveness of the training. The present study scrutinises the use of learning diaries as one possible measure to evaluate the development of ethics competencies. The aim of the study was to increase understanding about how learning diaries capture development of research ethics (...) and integrity competencies of participants and explore the use of diaries as a measure of training effectiveness. In the evaluative case study, a micro-credential programme was used as the context of the study and data was analysed using deductive content analysis. As a result, we outline criteria for analysis to be used in ethics training programmes for learning diaries. Results indicated that learning diaries submitted in the forum format (compared to individual submissions) provide peer support, so learners display more content knowledge on high levels of reflection and understanding. Submitting learning diaries over a longer period and making submissions repeatedly can improve writing and reflection competencies. The quality of learning diary entries may also depend on learner characteristics, such as commitment and motivation. Keeping a learning diary can help retain obtained competencies over a longer period. The article ends with a set of recommendations for implementing learning diaries as one measure of evaluation. (shrink)

‘It is necessary to a Prince to learn how not to be good’. This quotation from Machiavelli’s The Prince has become the mantra of the standard dirty hands thesis. Despite its infamy, it features proudly in most conventional expositions of the dirty hands problem, including Michael Walzer’s original analysis. In this paper, I wish to cast a doubt as to whether the standard conception of the problem of DH—the recognition that, in certain inescapable and tragic circumstances an innocent course of (...) action is unfeasible—fully captures Machiavelli’s message and its terrifying implications. In particular, I argue that the standard DH thesis is inadequately ‘static’: it conceives the conflict between ordinary morality and political morality as a stark, momentary and rare paradox of action—an anomaly disrupting the normality of harmony. As such it misconceives both the extent and the nature of the rupture between morality and politics. In this sense, the argument I shall advance does just involve an exercise in the history of political thought. Rather, I want to suggest that, by virtue of its failure to take Machiavelli’s insights seriously, the standard DH thesis fails to live up to its purported capacity to capture the complexity and fragmentation of our moral cosmos and that, consequently, it is nothing more than a thinly veiled version of the idealism and monism it purports to reject. (shrink)

This paper reports the results of a workshop held in January 2013 to begin the process of establishing standards for e-learning programmes in the ethics of research involving human participants that could serve as the basis of their evaluation by individuals and groups who want to use, recommend or accredit such programmes. The standards that were drafted at the workshop cover the following topics: designer/provider qualifications, learning goals, learning objectives, content, methods, assessment of participants and assessment of (...) the course. The authors invite comments on the draft standards and eventual endorsement of a final version by all stakeholders. (shrink)

Agriculture is defined normatively and, as such, is an area of research and practice where values are an inextricable constituent of research, where facts and values elide, and normative constraints generate new ethical categories. While discussions of normativity are part and parcel within agricultural ethics and play a prominent role in ethical discussions, I suggest that other areas of agricultural philosophy such as agricultural metaphysics or ontologies present valuable case studies for philosophical discussion. A series of case studies focusing on (...) how products are classified, graded, and measured illustrate conceptions of existence, causal relationships, and practice-oriented notions of category-making distinctive of agricultural practice. The first of these case studies shines a light on the process of knowledge integration in agriculture. I show how innovative integration, a process discussed within socially sustainable egg production, is an ineliminably normative process. The second case study, and the main focus of the chapter, concerns the normative role of agricultural standards. I discuss how standards and classes in use within egg production systems and the development and measuring techniques make AA eggs and transformed a highly toxic oilseed rape (used as a machine lubricant) into the non-toxic food-grade agricultural commodity, canola. I contend agricultural products like eggs, peanut butter, and canola oil are constituted by prescribed standards (like AA eggs and double-zero canola) that define not only the product, but also the activities related to its production and the practices that producers perform. Because standards and standardization define the categories of not only agricultural products but also agricultural practices, I suggest standards and standardization are best understood as “ontologizing activities.”. (shrink)

Formal teaching of ethics in health science programs at the entry level and postprofessional level in the United States and Canada has been documented in the professional literature for more than 30 years, yet there are significant differences in the way it is taught and how much time is devoted to the subject. Numerous teaching and evaluation methods have been used in ethics education, such as lectures, written examinations, debates, role-playing, small group discussion, and case study analysis. Most instruction in (...) ethics in the health sciences has been geared toward ethical analysis of case studies, that is, the student is asked to read a case or discuss a case with others, identify the ethical issues verbally or in writing, propose different resolutions supported by principles and theory, and select the best course of action. Yet, analysis of a case is an unlikely route to develop skills in coping with the uncertainty and emotional nature of ethical issues commonly encountered in clinical practice, nor does it give us an indication of what students would “really do” when they encounter an actual ethical problem. (shrink)

This article aims to help readers to learn about health care related cultural and religious beliefs and spiritual needs in Chinese communities. The recall diary of a severe acute respiratory syndrome (SARS)-infected intern working in Hoping Hospital in Taiwan during the 2003 SARS epidemic is presented and used to assist in understanding one patient’s spiritual activities when personally confronted with this newly emerging infectious disease. The article also gives an overview of the 2003 SARS epidemic in Taiwan, and discusses (...) people’s general perceptions towards infectious diseases, their coping strategies concerning disease, and their spiritual beliefs, the psychological impact of the 2003 SARS outbreak in Chinese communities, Chinese myths about infectious disease, and the religious activities of a SARS-infected intern in Taiwan. Recommendations are given on how to achieve quality holistic nursing care. (shrink)

Explores the resources for contemporary ethics found in the work of the Cheng brothers, canonical neo-Confucian philosophers. Yong Huang presents a new way of doing comparative philosophy as he demonstrates the resources for contemporary ethics offered by the Cheng brothers, Cheng Hao (1032–1085) and Cheng Yi (1033–1107), canonical neo-Confucian philosophers. Huang departs from the standard method of Chinese/Western comparison, which tends to interest those already interested in Chinese philosophy. While Western-oriented scholars may be excited to learn about Chinese philosophers who (...) have said things similar to what they or their favored philosophers have to say, they hardly find anything philosophically new from such comparative work. Instead of comparing and contrasting philosophers, each chapter of this book discusses a significant topic in Western moral philosophy, examines the representative views on this topic in the Western tradition, identifies their respective difficulties, and discusses how the Cheng brothers have better things to say on the subject. Topics discussed include why one should be moral, how weakness of will is not possible, whether virtue ethics is self-centered, in what sense the political is also personal, how a moral theory can be of an antitheoretical nature, and whether moral metaphysics is still possible in this postmodern and postmetaphysical age. “This book presents the philosophical ideas of the Cheng brothers intelligently, convincingly, and powerfully. It is among the best books ever written on the Cheng brothers, including works in the Chinese language.” — Kam-por Yu, coeditor of Taking Confucian Ethics Seriously: Contemporary Theories and Applications. (shrink)

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

The Standards' ecumenical implications are critically assessed in view of the risks which their cross-denominational or cross-faith cooperation implications on the one hand, and, on the other hand, their secular commitments to mutual learning, non-proselytizing, professionalism, and efficiency assessment might carry for chaplains' properly spiritual orientation. The problem posed by the ambiguity of language is raised as a warning that concepts like human dignity have a profoundly different meaning in secular and Christian contexts. Invoking such concepts can be seriously (...) misleading. (shrink)

Case Learning for Teachers: Strategic Knowledge for Professional Experience is a unique resource for Australian pre-service educators that draws on the author's experiences as an education researcher, lecturer and classroom teacher. This textbook uses a case stories approach to support pre-service teachers in developing the skills of observation and reflective practice necessary for professional experience placements and the transition to the classroom. Part 1 introduces the case learning approach and outlines strategies for reading and writing case stories. Part (...) 2 is structured by the Australian Professional Standards for Teachers. The text includes case stories addressing topics like knowing your students, knowing content, planning for teaching, managing behaviour, diverse learners, assessment, and developing professional relationships in the school setting. Integrating threshold concepts and the case-learning model, the innovative approach taken by Case Learning for Teachers makes it an invaluable tool for pre-service teachers. (shrink)

Whether it would take one decade or several centuries, many agree that it is possible to create a *superintelligence*---an artificial intelligence with a godlike ability to achieve its goals. And many who have reflected carefully on this fact agree that our best hope for a "friendly" superintelligence is to design it to *learn* values like ours, since our values are too complex to program or hardwire explicitly. But the value learning approach to AI safety faces three particularly philosophical puzzles: (...) first, it is unclear how any intelligent system could learn its final values, since to judge one supposedly "final" value against another seems to require a further background standard for judging. Second, it is unclear how to determine the content of a system's values based on its physical or computational structure. Finally, there is the distinctly ethical question of which values we should best aim for the system to learn. I outline a potential answer to these interrelated puzzles, centering on a "miktotelic" proposal for blending a complex, learnable final value out of many simpler ones. (shrink)

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

Social media commentary, satellite imagery and GPS data are a part of ‘alternative data’, that is, data that originate outside of the standard repertoire of market data but are considered useful for predicting stock prices, detecting different risk exposures and discovering new price movement indicators. With the availability of sophisticated machine-learning analytics tools, alternative data are gaining traction within the investment management and algorithmic trading industries. Drawing on interviews with people working in investment management and algorithmic trading firms utilizing (...) alternative data, as well as firms providing and sourcing such data, we emphasize social media-based sentiment analytics as one manifestation of how alternative data are deployed for stock price prediction purposes. This demonstrates both how sentiment analytics are developed and subsequently utilized by investment management firms. We argue that ‘alternative data’ are an open-ended placeholder for every data source potentially relevant for investment management purposes and harnessing these disparate data sources requires certain standardization efforts by different market participants. Besides showing how market participants understand and use alternative data, we demonstrate that alternative data often undergo processes of prospecting and assetization. We further contend that the widespread embracement of alternative data in investment management and trading encourages a financialization process at the data level which raises new governance issues. (shrink)

Through expert analysis, this text proves that John Dewey's views on efficiency in education are as relevant as ever. By exploring Deweyan theories of teaching and learning, the volume illustrates how they can aid educators in navigating the theoretical and practical implications of accountability, standardization, and assessment. The Contemporary Relevance of John Dewey's Theories on Teaching and Learning deconstructs issues regarding accountability mechanisms, uniform assessment systems, and standardization processes through a Deweyan lens. Connecting the zeitgeist of the era (...) from which Dewey's ideas emerged and current global political, social, and economic contexts, the book emphasizes the importance of resilient systems in reconciliating the tension between standardized assessments and individual student development. Contributors provide insights from a range of settings across Pre-K, primary, secondary, and higher education and address topics including teacher agency, voice, leadership, and democracy. The volume will be of interest to scholars, researchers, and academics with an interest in philosophy of education, education policy and the impact of neoliberal agendas, as well as teaching and learning more broadly. (shrink)

Conditional learning, where agents learn a conditional sentence ‘If A, then B,’ is difficult to incorporate into existing Bayesian models of learning. This is because conditional learning is not uniform: in some cases, learning a conditional requires decreasing the probability of the antecedent, while in other cases, the antecedent probability stays constant or increases. I argue that how one learns a conditional depends on the causal structure relating the antecedent and the consequent, leading to a causal (...) model of conditional learning. This model extends traditional Bayesian learning by incorporating causal models into agents’ epistemic states. On this theory, conditional learning proceeds in two steps. First, an agent learns a new causal model with the appropriate relationship between the antecedent and the consequent. Then, the agent narrows down the set of possible worlds to include only those which make the conditional proposition true. This model of learning can incorporate both standard cases of Bayesian learning and the non-uniform learning required to learn conditional information. (shrink)

We work with a large spatialized array of individuals in an environment of drifting food sources and predators. The behavior of each individual is generated by its simple neural net; individuals are capable of making one of two sounds and are capable of responding to sounds from their immediate neighbors by opening their mouths or hiding. An individual whose mouth is open in the presence of food is “fed” and gains points; an individual who fails to hide when a predator (...) is present is “hurt” by losing points. Opening mouths, hiding, and making sounds each exact an energy cost. There is no direct evolutionary gain for acts of cooperation or “successful communication” per se. In such an environment we start with a spatialized array of neural nets with randomized weights. Using standard learning algorithms, our individuals “train up” on the behavior of successful neighbors at regular intervals. Given that simple setup, will a community of neural nets evolve a simple language for signaling the presence of food and predators? With important qualifications, the answer is “yes.” In a simple spatial environment, pursuing individualistic gains and using partial training on successful neighbors, randomized neural nets can learn to communicate. (shrink)

There is an apparent connection between reinforcement learning and agency. Artificial entities controlled by reinforcement learning algorithms are standardly referred to as agents, and the mainstream view in the psychology and neuroscience of agency is that humans and other animals are reinforcement learners. This article examines this connection, focusing on artificial reinforcement learning systems and assuming that there are various forms of agency. Artificial reinforcement learning systems satisfy plausible conditions for minimal agency, and those which use (...) models of the environment to perform forward search are capable of a form of agency which may reasonably be called action for reasons. (shrink)

Cooperative learning (CL) is one of the pedagogical models that has had more application in the area of Physical Education (PE) in recent years, being highly worked in the initial training of teachers. The aim of the study is to check to what extent future PE teachers are able to apply in the classroom the PE training they have received at university, deepening their fears, insecurities and problems when carrying it out. Thirteen future PE teachers (7 girls and 6 (...) boys) aged 20.87±1.43 participated and, after having been trained in CL in various subjects, applied it in the classroom during their internship. A qualitative methodology was used, being the interviews, the teaching diaries and the seminars with the tutor the instruments of data collection used. Three categories of analysis were used: a) initial expectations in the application of the CL; b) problems encountered in its implementation; c) reflection about its application in the future. The results showed how the future teachers did not see their expectations of success fulfilled, encountering resistance from both students and teachers in PE. Furthermore, they reflect the need to continue training in a model that has infinite nuances so that it can be implemented satisfactorily. It is necessary to continue researching a pedagogical model with so many possibilities in the area of PE and with so much transversality on a social level. (shrink)

The practice of research is full of ethical challenges, many of which might be addressed through the teaching of responsible conduct of research . Although such training is increasingly required, there is no clear consensus about either the goals or content of an RCR curriculum. The present study was designed to assess community standards in three domains of research practice: authorship, collaboration, and data management. A survey, developed through advice from content matter experts, focus groups, and interviews, was distributed in (...) November 2010 to U.S. faculty from 50 graduate programs for each of four different disciplines: microbiology, neuroscience, nursing, and psychology. The survey addressed practices and perceived standards, as well as perceptions about teaching and learning. Over 1,300 responses yielded statistically significant differences in responses to nearly all questions. However the magnitude of these differences was typically small, leaving little reason to argue for community consensus on standards. For nearly all questions asked, the clear finding was that there was nothing approaching consensus. These results may be useful not so much to teach what the standards are, but to increase student awareness of the diversity of those standards in reported practice. (shrink)

This paper places formal learning theory in a broader philosophical context and provides a glimpse of what the philosophy of induction looks like from a learning-theoretic point of view. Formal learning theory is compared with other standard approaches to the philosophy of induction. Thereafter, we present some results and examples indicating its unique character and philosophical interest, with special attention to its unified perspective on inductive uncertainty and uncomputability.

Criticism of ethical review of research continues and research ethics committees (RECs) need to demonstrate that they are “fit for purpose” by meeting acknowledged standards of process, debate and outcome. This paper reports a workshop in Warsaw in April 2008, organised by the European Forum for Good Clinical Practice, on the problems of setting standards for RECs in the European Union. Representatives from 27 countries were invited; 16 were represented. Problems identified were the limited and variable resources, difficulties of setting (...) standards for ethical debate and its outcomes and that REC members, as volunteers, may resent the imposition of standards. Other ways to set standards were discussed, including analysis of current multicentre review, collecting REC member reports for review, learning from appeals and feedback from applicants, and use of other regional and national meetings. The place of a central, national board or ethics committee was debated as was the need for collaborating with partners in other fields. (shrink)

Some of the information we receive comes to us in an explicitly conditional form. It is an open question how to model the accommodation of such information in a Bayesian framework. This paper presents data suggesting that there may be no strictly Bayesian account of updating on conditionals. Specifically, the data seem to indicate that such updating at least sometimes proceeds on the basis of explanatory considerations, which famously have no home in standard Bayesian epistemology. The paper also proposes a (...) still broadly Bayesian model of updating on conditionals that explicitly factors in explanation. The model is shown to have clear empirical content and thus to be open to empirical testing. (shrink)

In this article, the authors highlight connections between research on Two Spirit Native Americans and standard social studies curriculum. Two Spirit is a Pan-Indian term describing Native Americans who believe they embody both masculine and feminine characteristics/traits in one physical body. Findingsfrom this research expand the field's conception of multiple perspectives and diversity, while creating opportunities for nuanced understandings of genderexpression and gender that go beyond the male/female dichotomy currently accepted as the norm. The authors utilize historical research and a (...) semi-structured,in-depth interview with a current Ojibwe leader to better understand and theorize Native Americans' acceptance of diverse ways of being. The authors conclude that modern-day social studies teachers and students have much to learn from this traditional Native worldview. Specifically, the authors believe that encouraging students to adopt more inclusive perspectives on gender expression and to recognize the plausibility of multiple genders may lead to more advanced, social learning. Combined with reinforcement from responsible adults at school, this recognition would lessen a variety of present-day social ills, including the incidence of teen suicide caused by homophobia. (shrink)

Those of us engaged in the education of future businesspersons need to ask about the efficacy of our efforts. The business person is, first and foremost, a member of the community, a citizen, attempting to meet the needs of that community by providing goods and services.The general public often perceives the businessperson as violating the ethical standards of the community. Business risks losing its social legitimacy by such activity. Universities are the appropriate institutions in which to inculcate the importance of (...) ethics and should go as far as it can to influence the ethical reasoning of graduates. However, research suggests that the traditional way of integrating ethics education into required functional courses actually results in a decline in moral reasoning. It is suggested that ethics educating needs to be personalized based on the individual student and that there is a need for experiential learning methods which would supplement and enhance standard classroom based ethics education. An appropriate goal for business ethics courses would be to make students aware of the ethical and social dimensions of the business decision making process. (shrink)

Parameterization and parameter tuning are central aspects of climate modeling, and there is widespread consensus that these procedures involve certain subjective elements. Even if the use of these subjective elements is not necessarily epistemically problematic, there is an intuitive appeal for replacing them with more objective (automated) methods, such as machine learning. Relying on several case studies, we argue that, while machine learning techniques may help to improve climate model parameterization in several ways, they still require expert judgment (...) that involves subjective elements not so different from the ones arising in standard parameterization and tuning. The use of machine learning in parameterizations is an art as well as a science and requires careful supervision. (shrink)

Over the last decades, consistent research showed that voluntary work could be considered as a tool for professional development and concrete employment: volunteering could be either experienced as a desire to improve career opportunities or to acquire new skills. The study aimed to investigate voluntary work as a context of informal and non-formal workplace learning and vocational guidance, useful to develop skills and abilities, namely the capital of personal and social resources, that could promote future employability. Participants were 38 (...) young volunteers who experienced the Universal Civil Service, a national Italian program addressed to young people aged up to 28 years, giving them both the opportunity to engage in social activities useful for the community and have the first contact with a working context. In line with the objectives of the study, participants were invited to describe their volunteering experience in a diary, highlighting if and to what extent this context contributed to enhancing their employability capital, namely the asset of skills, knowledge, and networks acquired, that they could transfer to a future professional domain. The narrative data collected were examined through diatextual analysis, a specific address of discourse analysis designed to catch the relationship between enunciators, text, and context of the talk. This qualitative analysis allowed us to investigate the meanings young people attributed to these activities. In light of these results, the paper contributed to investigate volunteers’ perceptions about the conditions that could best foster this specific kind of workplace informal and non-formal learning and at proposing a qualitative perspective on the analysis of the employability capital they developed. (shrink)

Learning from Arguments advances accessible versions of key philosophical arguments, in a form that students can emulate in their own writing, and with the primary aim of cultivating an understanding of the dynamics of philosophical argumentation. -/- The book contains ten core chapters, covering the problem of evil, Pascal’s wager, personal identity, the irrationality of fearing death, free will and determinism, Cartesian skepticism, the problem of induction, the problem of political authority, the violinist argument, the future-like-ours argument, the ethics (...) of eating meat, utilitarianism (both act and rule), and the trolley problem. Additionally, there is an introductory chapter explaining what arguments are and surveying some common argumentative strategies, an appendix on logic explaining the mechanics and varieties of valid arguments, and an appendix providing detailed advice for writing philosophy papers. -/- Each of the ten core chapters offers a sustained argument for some controversial thesis, specifically written for an audience of beginners. The aim is to introduce newcomers to the dynamics of philosophical argumentation, using some of the arguments standardly covered in an introductory philosophy course, but without the additional hurdles one encounters when reading the primary sources of the arguments: challenging writing, specialized jargon, and references to unfamiliar books, philosophers, or schools of thought. (shrink)

Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time‐consuming for experts to provide and thus, prohibitively costly. We address this by demonstrating an automated feedback mechanism that allows amateur decision‐makers to learn what information to attend to from one another, rather than from an (...) expert. In the first experiment, eye movements of N = 100 subjects were recorded while they repeatedly performed a standard behavioral finance investment task. Consistent with previous studies, we found that a significant proportion of subjects were affected by decision bias. In the second experiment, a different group of N = 100 subjects faced the same task but, after each choice, they received individual, machine learning‐generated feedback on whether their pre‐decision eye movements resembled those made by Experiment 1 subjects prior to good decisions. As a result, Experiment 2 subjects learned to analyze information similarly to their successful peers, which in turn reduced their decision bias. Furthermore, subjects with low Cognitive Reflection Test scores gained more from the proposed form of process feedback than from standard behavioral feedback based on decision outcomes. (shrink)

Teaching of responsible conduct of research is largely predicated on the assumption that there are accepted standards of conduct that can be taught. However there is little evidence of consensus in the scientific community about such standards, at least for the practices of authorship, collaboration, and data management. To assess whether such differences in standards are based on disciplinary differences, a survey, described previously, addressing standards, practices, and perceptions about teaching and learning was distributed in November 2010 to US (...) faculty from 50 graduate programs for the biomedical disciplines of microbiology, neuroscience, nursing, and psychology. Despite evidence of statistically significant differences across the four disciplines, actual differences were quite small. Stricter measures of effect size indicated practically significant disciplinary differences for fewer than 10 % of the questions. This suggests that the variation in individual standards of practice within each discipline is at least as great as variation due to differences among disciplines. Therefore, the need for discipline-specific training may not be as important as sometimes thought. (shrink)

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

Francis Bacon’s elusive notion of experience can be better understood when we relate it to his views on matter, motion, appetite and intellect, and bring to the fore its broader philosophical implications. Bacon’s theory of knowledge is embedded in a programme of disciplinary redefinition, outlined in the Advancement of Learning and De augmentis scientiarum. Among all disciplines, prima philosophia plays a key foundational role, based on the idea of both a physical parallelism between the human intellect and nature and (...) a theological parallelism between nature and God. Failure to assess Bacon’s distinctive position concerning the way in which the mind mirrors both the natural and the divine world, that is to say, the meaning of “reality,” has resulted in notoriously jejune discussions on Baconian empiricism, monotonously driven by epistemological concerns. As a result, the standard view on Bacon’s empiricism is as epistemologically comforting as it is imaginary, an “idol” in a genuinely Baconian sense. In this article, Bacon’s notion of experience will be discussed by examining those steps that he considered to be the crucial initial stages in the formation of human experience, stages described as a process of experiential literacy or, in emblematic terms, as a hunting expedition led by the mythological figure of Pan. I argue that a well-rounded analysis of Bacon’s experientia literata needs to take into account the complementary notion of the “spelling-book of nature”, that is, the original code of the primordial motions of matter. By getting acquainted with the first rudiments of experience through its spelling-book, one learns to read the book of nature and, most of all, to write new pages in it. (shrink)

Higher education institutions are increasingly relying on learning analytics to collect voluminous amounts of data ostensibly to inform student learning interventions. The use of learning analytics, however, can result in a tension between the Council for the Advancement of Standards in Higher Education (CAS) principles of autonomy and non-malfeasance on the one hand, and the principle of beneficence on the other. Given the complications around student privacy, informed consent, and data justice in addition to the potential to (...) do harm, many current practices around learning analytics within higher education can be considered to be in violation of CAS standards. This paper aims to explore this tension in greater detail and argues that the student voice offers a promising way to ensure that students’ autonomy is respected, harm is reduced, and that higher education institutions can still fulfil the principle of beneficence. (shrink)

In order to build high-quality concrete, it is imperative to know the raw materials in advance. It is possible to accurately predict the quality of concrete and the amount of raw materials used using machine learning-enhanced methods. An automated process based on machine learning strategies is proposed in this paper for predicting the compressive strength of concrete. Fusion-learning-based optimization is used in the proposed approach to generate a strong learner by pooling support vector regression models. The SVR (...) technique proposes an optimization method for finding the kernel radial basis function parameters based on improving the innovative gunner algorithm. As a result of AIG's diverse solutions, local optima are effectively avoided. Therefore, the novelty of our research is that, in solving the uncertainty of predicted outputs based on integrated models, we use fusion-learning-based optimization to improve regression discrimination. We also collected a standard dataset to analyze the proposed algorithm, and subsequently, the dataset was designed from concrete laboratory tests on 244 samples, seven features, and three outputs. Different regression intensities are determined by correlation analysis of responses. Regression fusion is sufficiently accurate to estimate the number of desired outcomes examined based on the appropriate input data sample. The best quality concrete can be achieved with an error rate of less than 5%. (shrink)

In this paper, we propose a framework for fostering argumentative skills in a systematic way in Philosophy and Ethics classes. We start with a review of curricula and teaching materials from the German-speaking world to show that there is an urgent need for standards for the teaching and learning of argumentation. Against this backdrop, we present a framework for such standards that is intended to tackle these difficulties. The spiral-curricular model of argumentative competences we sketch helps teachers introduce the (...) relevant concepts and skills to students early on in their school career. The focus is on secondary schools, but the proposal can also be of use for learning and teaching in universities, especially in introductory classes. (shrink)

This paper investigated how implicit and explicit knowledge is reflected in event-related potentials in sequence learning. ERPs were recorded during a serial reaction time task. The results showed that there were greater RT benefits for standard compared with deviant stimuli later than early on, indicating sequence learning. After training, more standard triplets were generated under inclusion than exclusion tests and more standard triplets under exclusion than chance level, indicating that participants acquired both explicit and implicit knowledge. However, deviant (...) targets elicited enhanced N2 and P3 components for targets with explicit knowledge but a larger N2 effect for targets with implicit knowledge, revealing that implicit knowledge expresses itself in relatively early components and explicit knowledge in additional P3 components. The results help resolve current debate about the neural substrates supporting implicit and explicit learning. (shrink)

The area of smart power grids needs to constantly improve its efficiency and resilience, to provide high quality electrical power in a resilient grid, while managing faults and avoiding failures. Achieving this requires high component reliability, adequate maintenance, and a studied failure occurrence. Correct system operation involves those activities and novel methodologies to detect, classify, and isolate faults and failures and model and simulate processes with predictive algorithms and analytics. In this paper, we showcase the application of a complex-adaptive, self-organizing (...) modeling method, and Probabilistic Boolean Networks, as a way towards the understanding of the dynamics of smart grid devices, and to model and characterize their behavior. This work demonstrates that PBNs are equivalent to the standard Reinforcement Learning Cycle, in which the agent/model has an interaction with its environment and receives feedback from it in the form of a reward signal. Different reward structures were created to characterize preferred behavior. This information can be used to guide the PBN to avoid fault conditions and failures. (shrink)

Learning to Teach in a New Era prepares preservice teachers to embrace the opportunities and meet the challenges of teaching in the twenty-first century. Closely aligned with the Australian Professional Standards for Teachers and the Australian Curriculum, this book is an invaluable resource for early childhood, primary and secondary preservice teachers that can be carried through their entire degree and into the workplace. The text is divided into three parts: professional knowledge, professional practice and professional engagement. Students will gain (...) an understanding of the teaching profession and the policies and laws that govern it; develop practical skills in pedagogy, technology, curriculum, assessment and reporting, planning and classroom management; and learn vital skills in communication and ethical practice. Each printed text comes with a unique access code to the interactive ebook. Fully integrated with the print book, this enhanced version houses useful assessment tools such as questions and video resources. (shrink)

The years 2020 and 2021 brought new challenges to teaching and learning in the institutions of tertiary education due to the global COVID-19 Pandemic. They have been the devastating years for many teachers. Innumerable difficulties in professional and personal life increased the stress - striving to survive with the least losses. Temporary measures for remote teaching/learning in spring of 2020 extended until summer of 2021 worldwide and seem unlikely to stop in the nearest future. New challenge of novel (...) online activities made teachers reconsider their teaching philosophy due to an overall lack of students engagement in spite of the usual and familiar learning procedures. The current crisis outlines the following framework to teaching philosophy: capability, reliability, inability, suitability, ingenuity, and sustainability. This article aims at researching University students attitudes to remote and traditional learning of English for Specific Purposes. A specially designed survey was administered to 180 full-time students (9 groups, 20 students in each group). Their responses were statistically processed by a means of the SPSS software to compute the Means and Standard Variations and compare the estimates of the between-group and within-group variances. Statistical processing of multiple samples reveals whether observed differences in responses occur at random, i. e. are due to chance, or they are significant, real and meaningful. The scientific analysis of computation data might allow drawing conclusions about students preferences: which mode of learning - remote or traditional - is beneficial and how much is each of them supportive. (shrink)

Formal learning theory is an approach to the study of inductive inference that has been developed by computer scientists. In this paper, I discuss the relevance of formal learning theory to such standard topics in the philosophy of science as underdetermination, realism, scientific progress, methodology, bounded rationality, the problem of induction, the logic of discovery, the theory of knowledge, the philosophy of artificial intelligence, and the philosophy of psychology.