The computational notion of “trading spaces” is highly relevant to the psychological domain of categorization. The “theory” view of concepts can be interpreted as a recoding view. A design principle for exploiting learned recodings in order to handle the type-2 problem of forming sophisticated concepts is outlined.

The article explores the way gamification transforms the informal learning space of the higher education institutions inspired by information technologies and the all-consuming digitalization of human society. An overview is presented of the existing ideas about gamification in the context of the digital transformation of higher education. It is established that the effective use of gamification as a learning technique in the context of digital transformation of higher education contributes to the implementation of its core principles. We (...) have attempted to analyze the factors that gave rise to gamification as well as to examine the ways to introduce gamification to the informal learning experience. The components of this technology are singled out along with the principles of its functioning. In the process, we reveal the role of gamification and opportunities that open up for the organization of educational activities in the informal space of higher education. The given work identifies peculiarities and advantages of this digital form of education as well as risks associated with its introduction in the informal learning space of higher education. The authors elaborate on the specifics of the development of informal learning space in the context of global gamification, as well as the technological and semantic modernization of higher education. It is established that the main purpose of gamification is to boost the internal motivation of higher education students to study and to reveal their creative and professional abilities. (shrink)

Business and Society Review, Volume 127, Issue S1, Page 283-298, Spring 2022.

Online informal learning spreads quickly in the COVID-19 Pandemic. Studies have predicted that both online and workplace IL have potential value to individual and organization development, whereas the study on its link with innovation remains scarce. IL is an individualized learning pattern different from formal learning, and its functioning mechanism on innovation will deepen our understanding of the relationship between learning and innovation. Self-efficacy and autonomous motivation are considered as two streams of motivational mediating mechanisms (...) to innovation. However, previous studies have proceeded largely in separation from each other. Researchers highlight the need to develop a more fine-grained theory of motivation and innovation. In addressing these literature gaps, this paper takes college teachers as the sample and focuses on the motivational mediating mechanism between online IL and innovation. The results showed that teachers IL could positively predict innovative teaching performance. Personal teaching efficacy and autonomous motivation played as sequential mediators on the link between IL and innovative teaching performance. This study extends the literature of IL–innovation relationship and enriches understanding of cognition-oriented motivation theory, highlighting one's internal autonomous construction is the key to innovation. Theoretical and practical implications for psychological empowerment are discussed. (shrink)

There are many approaches to human communication that deal with its multiple aspects at various levels of abstraction and delimit what has become the field of information and communication sciences. Telegraphic communication and orchestral communication are two terms introduced by Y. Winkin to contrast the Shannonian (“telegraphic”) and Batesonian (“orchestral”) theories of communication. The Batesonian theory of information, communication and learning remains qualitative. This chapter presents the pioneering model presented by the engineer Claude Shannon at the end of the (...) 1940s and that proposed by the anthropologist Gregory Bateson and his successors from the 1970s onwards. G. Bateson argues that any continuous learning process involves at least two levels: primary learning, where the subject receives simple information in a given context and responds conditionally to it, and deutero‐learning, where the subject shows an increasing ability to treat given contexts as if they were to be expected in their universe. (shrink)

We investigate many paradigms of identifications for classes of languages in a measure-theoretic context, and we relate such paradigms to their analogues in learning on informants. Roughly speaking, the results say that most paradigms in measure-theoretic learning wrt some classes of distributions are equivalent to the corresponding paradigms for identification on informants.

Complex constraints like conditionals ('If A, then B') and probabilistic constraints ('The probability that A is p') pose problems for Bayesian theories of learning. Since these propositions do not express constraints on outcomes, agents cannot simply conditionalize on the new information. Furthermore, a natural extension of conditionalization, relative information minimization, leads to many counterintuitive predictions, evidenced by the sundowners problem and the Judy Benjamin problem. Building on the notion of a `paradigm shift' and empirical research in psychology and economics, (...) I argue that the model of hypothesis testing can explain how people learn complex, theory-laden propositions like conditionals and probability constraints. Theories are formalized as probability distributions over a set of possible outcomes and theory change is triggered by a constraint which is incompatible with the initial theory. This leads agents to consult a higher order probability function, or a 'prior over priors,' to choose the most likely alternative theory which satisfies the constraint. The hypothesis testing model is applied to three examples: learning a simple probabilistic constraint involving coin bias, the sundowners problem for conditional learning, and the Judy Benjamin problem for learning conditional probability constraints. (shrink)

We explore how principles predicting the success of a medical information commons advantaged or disadvantaged three MIC initiatives in three Canadian provinces. Our MIC case examples demonstrate that practices and policies to promote access to and use of health information can help improve individual healthcare and inform a learning health system. MICs were constrained by heterogenous health information protection laws across jurisdictions and risk-averse institutional cultures. A networked approach to MICs would unlock even more potential for national and international (...) data collaborations to improve health and healthcare. (shrink)

Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony . This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment 1, (...) we apply the original model to new data in Dutch and demonstrate its limitations in learning nonallophonic rules. In Experiment 2, we extend the model to allow it to learn general rules for alternations that apply to a class of segments. In Experiment 3, the model is further extended to allow for generalization by context; we argue that this generalization must be constrained by linguistic principles. (shrink)

We propose a method of learning indicative conditional information. An agent learns conditional information by Jeffrey imaging on the minimally informative proposition expressed by a Stalnaker conditional. We show that the predictions of the proposed method align with the intuitions in Douven, 239–263 2012)’s benchmark examples. Jeffrey imaging on Stalnaker conditionals can also capture the learning of uncertain conditional information, which we illustrate by generating predictions for the Judy Benjamin Problem.

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)

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

Alternative Learning System (ALS) has been adopted in Philippine basic education, yet there is no academic institution in the region prepares ALS teachers in teaching life skills. ALS teachers graduated from different programs of teacher education for formal education. In response, an extension project was conceptualized and implemented to enhance the teaching capacity and effectiveness of ALS teachers. Case study was conducted to evaluate the effectiveness of the project. It explored the transfer of life skills among ALS teachers. Data (...) were collected from multiple sources. Interview and written responses, and feedbacks were analyzed using thematic narrative analysis. Other data were analyzed using document and descriptive analyses. The project had achieved its objectives and rated best by participants. These indicate that the project was implemented effectively and successfully. ALS teachers have acquired life skills and transferred them to others. Thus, the project has made a difference in the lives of these teachers. (shrink)

Brian Skyrms offers a fascinating demonstration of how fundamental signals are to our world. He uses various scientific tools to investigate how meaning and communication develop. Signals operate in networks of senders and receivers at all levels of life, transmitting and processing information. That is how humans and animals think and interact.

Philosophers of education have always been interested in epistemological issues. In their efforts to help inform educational theory and practice they have dealt extensively with concepts like knowledge, teaching, learning, thinking, understanding, belief, justification, theory, the disciplines, rationality and the like. Their inquiries have addressed issues about what kinds of knowledge are most important and worthwhile, and how knowledge and information might best be organised as curricular activity. They have also investigated the relationships between teaching and learning, belief (...) and opinion, knowledge and belief, and data and information. For some a key issue has been how students can become autonomous knowers. This issue has often been bound up with questions about what count as appropriate standards for reasonableness or rationality, and the conditions under which we can properly regard understanding as having occurred. During the past decade renewed interest has been shown in what is involved in becoming an authority, expert or competent performer in a given area of knowledge, as well as in how we evaluate and critique different or competing beliefs, theories, points of view or paradigms. (shrink)

The impact of new advanced technology on issues that concern meaningful information and its relation to studies of intelligence constitutes the main topic of the present paper. The advantages, disadvantages and implications of the synthetic methodology developed by cognitive scientists, according to which mechanical models of the mind, such as computer simulations or self-organizing robots, may provide good explanatory tools to investigate cognition, are discussed. A difficulty with this methodology is pointed out, namely the use of meaningless information to explain (...) intelligent behavior that incorporates meaningful information. In this context, it is inquired what are the contributions of cognitive science to contemporary studies of intelligent behavior and how technology may play a role in the analysis of the relationships established by organisms in their natural and social environments. (shrink)

By classic results in social choice theory, any reasonable preferential voting method sometimes gives individuals an incentive to report an insincere preference. The extent to which different voting methods are more or less resistant to such strategic manipulation has become a key consideration for comparing voting methods. Here we measure resistance to manipulation by whether neural networks of varying sizes can learn to profitably manipulate a given voting method in expectation, given different types of limited information about how other voters (...) will vote. We trained over 70,000 neural networks of 26 sizes to manipulate against 8 different voting methods, under 6 types of limited information, in committee-sized elections with 5-21 voters and 3-6 candidates. We find that some voting methods, such as Borda, are highly manipulable by networks with limited information, while others, such as Instant Runoff, are not, despite being quite profitably manipulated by an ideal manipulator with full information. For the two probability models for elections that we use, the overall least manipulable of the 8 methods we study are Condorcet methods, namely Minimax and Split Cycle. (shrink)

Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of (...) categories is shown to improve controlled search performance. A general framework for human information processing is proposed. The framework emphasizes the roles of automatic and controlled processing. The theory is compared to and contrasted with extant models of search and attention. (shrink)

Cognitive systems face a tension between stability and plasticity. The maintenance of long‐term representations that reflect the global regularities of the environment is often at odds with pressure to flexibly adjust to short‐term input regularities that may deviate from the norm. This tension is abundantly clear in speech communication when talkers with accents or dialects produce input that deviates from a listener's language community norms. Prior research demonstrates that when bottom‐up acoustic information or top‐down word knowledge is available to disambiguate (...) speech input, there is short‐term adaptive plasticity such that subsequent speech perception is shifted even in the absence of the disambiguating information. Although such effects are well‐documented, it is not yet known whether bottom‐up and top‐down resolution of ambiguity may operate through common processes, or how these information sources may interact in guiding the adaptive plasticity of speech perception. The present study investigates the joint contributions of bottom‐up information from the acoustic signal and top‐down information from lexical knowledge in the adaptive plasticity of speech categorization according to short‐term input regularities. The results implicate speech category activation, whether from top‐down or bottom‐up sources, in driving rapid adjustment of listeners' reliance on acoustic dimensions in speech categorization. Broadly, this pattern of perception is consistent with dynamic mapping of input to category representations that is flexibly tuned according to interactive processing accommodating both lexical knowledge and idiosyncrasies of the acoustic input. (shrink)

ABSTRACT:This article outlines the policy context for teachers’ learning and continuing professional development in Scotland and considers this in relation to the perspectives of key informants gained through interview. The analysis draws on a triple-lens conceptual framework and points to some interesting contradictions between the policy text and the expressed aspirations of the interviewees. Current policy and the associated structural arrangements are viewed as broadly positive, but interviewees express concerns that an unintended emphasis on contractual arrangements might inhibit the (...) more transformative elements of professional learning. (shrink)

The impact of new advanced technology on issues that concern meaningful information and its relation to studies of intelligence constitutes the main topic of the present paper. The advantages, disadvantages and implications of the synthetic methodology developed by cognitive scientists, according to which mechanical models of the mind, such as computer simulations or self-organizing robots, may provide good explanatory tools to investigate cognition, are discussed. A difficulty with this methodology is pointed out, namely the use of meaningless information to explain (...) intelligent behavior that incorporates meaningful information. In this context, it is inquired what are the contributions of cognitive science to contemporary studies of intelligent behavior and how technology may play a role in the analysis of the relationships established by organisms in their natural and social environments. (shrink)

This paper describes a novel perspective on the foundations of mathematics: how mathematics may be seen to be largely about “information compression via the matching and unification of patterns”. That is itself a novel approach to IC, couched in terms of nonmathematical primitives, as is necessary in any investigation of the foundations of mathematics. This new perspective on the foundations of mathematics reflects the facts that mathematics is almost exclusively the product of human brains, and has been developed, as an (...) aid to human thinking, mathematics is likely to be consonant with much evidence for the importance of IC in human learning, perception, and cognition. This perspective on the foundations of mathematics has grown out of a long-term programme of research developing the SP Theory of Intelligence and its realization in the SP Computer Model, a system in which a generalised version of ICMUP—the powerful concept of SP-multiple-alignment—plays a central role. This paper shows with an example how mathematics, without any special provision, may achieve compression of information. Then, it describes examples showing how variants of ICMUP may be seen in widely used structures and operations in mathematics. Examples are also given to show how several aspects of the mathematics-related disciplines of logic and computing may be understood as ICMUP. Also discussed is the intimate relation between IC and concepts of probability, with arguments that there are advantages in approaching AI, cognitive science, and concepts of probability via ICMUP. Also discussed is how the close relation between IC and concepts of probability relates to the established view that some parts of mathematics are intrinsically probabilistic, and how that latter view may be reconciled with the all-or-nothing, “exact,” forms of calculation or inference that are familiar in mathematics and logic. There are many potential benefits and applications of the mathematics-as-IC perspective. (shrink)

Why are some words easier to learn than others? And what enables the eventual learning of the more difficult words? These questions were addressed for nouns using a paradigm in which adults were exposed to naturalistic maternal input that was manipulated to simulate access to several different information sources, both alone and in combination: observation of the extralinguistic contexts in which the target word was used, the words that co‐occurred with the target word, and the target word's syntactic context. (...) Words that were not accurately identified from observation alone were both abstract (e.g., music) and concrete (e.g., tail). Whether a noun could be learned from observation depended on whether it labeled a basic‐level object category (BLOC). However, the difference between BLOC labels and non‐BLOC labels was eliminated when observation was supplemented with linguistic context. Thus, although BLOC labels can be learned from observation alone, non‐BLOC labels require richer linguistic context. These findings support a model of vocabulary growth in which an important role is played by changes in the information to which learners have access. (shrink)

Industries are currently experiencing several kinds of disruptive changes, including digital transformation and environmental and health emergencies. Despite intense discussion about disruptive changes in companies, the impact of such changes on workplace learning is still underexplored. In this study, we investigated the impact of disruptive changes on informal learning practices according to the perspectives of employers, employees and adult educators. Informal learning was operationalised along a continuum between organised informal learning and everyday (...) class='Hi'>informal learning. Fifty-five companies’ representatives from three European countries and four industrial fields were interviewed. The interviews were further triangulated with questionnaires collected by employees from the same companies. Questionnaire data were used to collect detailed information on individual informal workplace learning strategies and digital technologies adopted in organised informal learning. The interview data were analysed using qualitative content analysis. A coding scheme was developed with five macro-categories organised into 23 sub-categories. Occurrence and co-occurrence analysis were performed to identify which individual and organisational factors and approaches support most learning, according to interviewees. Interviewees reported the possibility of interacting with colleagues and being autonomous as the main sources of everyday informal learning processes. Employees from the same companies reported model learning, vicarious feedback, and applying someone’s own ideas as the most frequent IWL strategies. Organised informal learning was mainly based on knowledge transfer, which reflects passive cognitive engagement by employees. Specifically, digital technologies in organised informal learning were poorly used for supporting reflection, constructive processes, and collaborative knowledge construction. The results suggest that participants believed that higher forms of cognitive engagement are possible only within face-to-face organised informal training or in everyday informal learning. Possible explanations of the results and practical implications are discussed. (shrink)

Broadening participation in early science, technology, engineering and math learning outside of school is important for families experiencing poverty. We evaluated variations of the Teaching Together STEM pre-kindergarten program for increasing parent involvement in STEM learning. This informal STEM, family engagement program was offered in 20 schools where 92% of students received free/reduced lunch. The core treatment included a series of family education workshops, text messages, and family museum passes. The workshops were delivered at school sites by (...) museum outreach educators. We randomly assigned schools to business-as-usual control or one of three additive treatment groups. Using an additive treatment design, we provided the core program in Treatment A, we added take-home STEM materials in Treatment B, and added materials + parent monetary rewards in Treatment C. The primary outcome was parent involvement in STEM. There were no significant impacts of any treatment on parent involvement; however, the groups that added take-home materials had larger effect sizes on parent involvement at posttest and later, kindergarten follow-up. Adding parent monetary rewards only produced short-term improvements in parent involvement that faded at follow-up. We discuss implications for other community-sponsored family engagement programs focused on informal STEM learning, including considering characteristics of families who were more versus less likely to attend. These null findings suggest that alternatives to in-person family education workshops should be considered when parents are experiencing poverty and have competing demands on their time. (shrink)