Two fundamentally distinct approaches to the teaching of philosophy are contrasted: On the one hand, there is the “information-oriented” approach which has dominated classrooms and which emphasizes the understanding of historically important philosophical works. On the other hand, there is the “cognitive skills” approach. The two approaches may be distinguished under the headings of ‘knowing that’ as opposed to ‘knowing how’. This paper describes and discusses four perspectives relating to the teaching of cognitive skills: (i) the discovery-oriented approach, (ii) (...) class='Hi'>Piagetian learning cycles, (iii) protocol analysis, and (iv) conceptual therapy. The latter approach reflects the author’s interest in helping students to develop “therapeutic” skills that enable them to identify and eliminate concepts which they employ in their thinking and which are incompatible with their own presuppositional bases and are therefore self-refuting. ●●●●● -/- 2022 UPDATE: The approach of this paper has been updated and developed further in Appendix II, "Epistemological Intelligence," of the author’s 2021 book _Critique of Impure Reason: Horizons of Possibility and Meaning_. The book is available both in a printed edition (under ISBN 978-0-578-88646-6 from Barnes & Noble, Amazon, and other booksellers) and an Open Access eBook edition (available through Philpapers under the book’s title and other philosophy online archives). (shrink)

In the recent years, problem-solving become a central topic that discussed by educators or researchers in mathematics education. it’s not only as the ability or as a method of teaching. but also, it is a little in reviewing about the components of the support to succeed in problem-solving, such as student's belief and attitude towards mathematics, algebraic thinking skills, resources and teaching materials. In this paper, examines the algebraic thinking skills as a foundation for problem-solving, and learning cycle as (...) a breath of continuous learning. In this paper, learning cycle to be used is a modified type of 5E based on beliefs. (shrink)

본 연구의 목적은 최근 20여 년 동안 진행되어 온 학습이론에 대한 피아제의 명제논리학적 학습이론과 베이즈주의의 확률론적 학습이론의 융합에 근거하는 새로운 융합교수학습모형을 개발하는 것이다. 연구자는 이 새로운 교수학습모델을 “베이지안 구조구성주의 교수학습모형”(Bayesian structure-constructivist Model of Teaching-learning: 이하 약칭 BMT)이라 명명한다. 본고는 역사-비판적 관점 및 형식화적 관점에서 피아제의 명제논리학적 학습모형에서 해석된 학습이론과 베이즈주의의 확률론적 추론모형에서 해석된 학습이론을 일차적으로 분석하고, 논문의 후반부에서는 이를 근거로 교수법의 관점에서 양자의 학습이론을 통합하는 새로운 교수학습모델, 즉 BMT의 중요한 특성들을 세부적으로 제시한다. 몇 가지 핵심만 언급하면, 첫째로, BMT는 개념 (...) 학습이든 이론 학습이든 모든 학습은 표상과 샘플링의 상호작용임을 강조한다. 매우 이른 나이에서부터 아동은 학습하기 이전에 자기에게 주어진 예시들이 약한 샘플링인지 강한 샘플링인지, 특히 교육학적 샘플링인지 비교육학적 샘플링인지를 구분한다. 둘째로, 따라서 학습을 촉진시킬 수 있는 샘플을 선택하기 위해서 교사는 교육학적 추론을 위한 베이지안 모델을 활용하면서 직접적인 강의식 수업과 발견학습 수업을 병행해야 한다. 셋째로, 아동은 때때로 구체적인 규칙들보다는 추상적인 규칙들을 먼저 학습하기도 하지만, 대부분의 영역에서 추상적인 지식의 학습은 구체적인 지식의 학습에 의존한다. 따라서 성공적인 학습을 위해서는 피아제가 강조한 보편적 언어로서 논리적 문법과 그들 사이의 위계성을 고려하는 샘플을 개발하고 제시해야 한다. (shrink)

Sustainability informs the framework for a seminar that we teach for junior and senior undergraduates entitled "The Ethics and Economics of Sustainable Societies." One of the class requirements has each student research and write a life-cycle case study, an exercise in which they trace the full, or partial, life-cycle of some product with which they are familiar. Students are expected to examine the economic, ethical, and ecological implications along each step in the life-cycle of the product. We believe that life-cycle (...) cases in general are very helpful in revealing the full economic, ethical, and ecological consequences of product development, marketing, use, and disposal. We also believe that asking students to research the product themselves provides additional pedagogical benefits. After a brief review of the philosophical case for our alternative view of corporate social responsibility, we will describe the life-cycle case method, offer several examples from our own classes, and make the case for the pedagogical benefits of this approach. (shrink)

15년 전부터 등장한 베이지안 확률론적 추론 모형은 통계학, 과학철학, 심리학, 인지과학, 컴퓨터과학, 신경과학 등에서 학계의 연구를 지배하는 강력한 핵심논제가 된 후로 이젠 교육학과 심지어는 논리학 분야에까지 큰 반향을 일으키고 있다. 이러한 다양화로 인해, 굿에 따르면, 베이즈주의 유형은 46,656 가지로 분류된다. 이러한 다양한 모형들 중에서 베이지안 확률모형을 학습이론에 적용하려는 학자들은 학습자의 학습 과정이 정확히 베이지안 확률추론 과정을 항상 따른다고 주장한다. 그런데 이러한 확률론적 모형은 피아제의 구성주의적 전망을 계승한 것은 분명하다. 왜냐하면, 이 모델을 지지하는 학자들 자신이 자신들의 학적 운동을 “새로운 합리적 구성주의”라고 (...) 명시적으로 명명하기 때문이다. 그럼에도 불구하고, 이러한 확률론적 학습모형은 “지식은 인과성을 중심으로 구조화된다.”라는 가설을 확고하게 지지하면서, 피아제의 명제 논리적 모형에 의한 학습이론을 강하게 비판한다. 그러나 베이지안 학습 이론가들은 경험을 통한 새로운 항들의 연결로서의 학습, 그리고 학습에서 모순 및 인과성의 역할 등에 대한 피아제의 세부적인 연구 성과들을 놓치고 있다. 다른 한편으로 베이지안 학습이론은 여러 가지 점에서 온전한 발달 이론을 제공하기에는 아직 미흡하다. 이런 점에서, 필자는 현상 없이는 구조를 이해할 수 없듯이, 구조 없이는 현상을 이해할 수 없다는 사실을 강조하면서, 인과성 추론을 핵심으로 하는 베이지안 학습 모델과 인과적 물리적 인식뿐만 아니라, 동시에 논리-수학적 인식 모델을 강조하는 피아제의 학습 모델은 새로이 종합되어야 한다는 것을 논증하고자 한다. (shrink)

The purpose of this paper is to propose that the notion of the conceptual metaphor, as defined in the theoretical framework of embodied learning, can have a role in the construction of children’s arithmetic and, in particular, in their invention of calculation strategies. In doing so it acknowledges the role of the sensory perceptual world in the development of children’s arithmetic. A Piagetian framework makes a distinction between an embodied world of learning and the operational world of (...) arithmetic. The two theoretical frameworks are compared in relation to children’s realisation of the equality of commuted pairs in addition. The proposal is that the conceptual metaphor can be seen as an additional cognitive tool to explore children’s analogous reasoning in abstractions from the results of operations. The potential of the conceptual metaphor in this role would be to provide a theoretical framework to explore children’s development of arithmetic in terms of their everyday, perceptual experiences. In doing so it supports the notion of analogy as a key part in the creative process of arithmetic. (shrink)

Cognitive frames help companies make sense of the intrinsic tensions of sustainability issues and influence how they respond to calls for sustainability over time. Yet, cognitive frames have been investigated as a static feature and previous studies have overlooked the evolutionary dynamics that can lead an organization to change its own frame. This study observes the evolution of life cycle management implementation through the theory of cognitive frames. We conducted a longitudinal multiple case study of 10 SMEs involved in a (...) European‐funded project. Over a three‐year period we examined how cognitive approaches to sustainability issues changed according to different learning mindsets. A total of three cognitive frames and two learning mindsets were revealed from the analysis, thus providing two important contributions. First, cognitive frames are not static in time, but can change to give more importance to the environmental sustainability of a life cycle. Second, the type of learning mindsets that managers in SMEs share can trigger changes in organizational cognitive frames. (shrink)

Este artigo apresenta uma análise das concepções do papel da escola e do conhecimento presentes nos textos oficiais de sete redes municipais de ensino brasileiras que adotam os Ciclos de Aprendizagem. A análise evidenciou que os textos das redes pesquisadas apresentavam concepções explícitas sobre o papel da escola e do conhecimento. Os autores argumentam que a) a análise de textos oficiais de políticas ocupa um lugar importante, uma vez que neles estão contidas as declarações de valores, as intenções, os objetivos, (...) bem como os princípios e fundamentos das políticas; b) a explicitação da concepção sobre o papel da escola e do conhecimento é um aspecto essencial, pois poderá balizar as definições relacionadas ao currículo, avaliação, metodologia, formação continuada de professores, etc; c) a explicitação de tais aspectos emerge como altamente necessária para a escola atual , uma vez que as avaliações em larga escala e diversas pesquisas evidenciam que uma parcela significativa de alunos das escolas públicas do Ensino Fundamental apresenta domínio insatisfatório dos conhecimentos básicos; e d) a explicitação do papel da escola e do conhecimento é fundamental pois o contexto educacional atual caracteriza-se pela dispersão do conhecimento escolar, diante de materiais didáticos e orientações metodológicas de projetos diversos, os quais nem sempre estão fundamentados em concepções convergentes sobre o papel da escola e do conhecimento. (shrink)

The goal of this chapter is to provide an interpretation of experiential learning that fully detaches itself from the epistemological presuppositions of empiricist and intellectualist accounts of learning. I first introduce the concept of schema as understood by Kant and I explain how it is related to the problems implied by the empiricist and intellectualist frameworks. I then interpret David Kolb’s theory of learning that is based on the concept of learning cycle and represents an attempt (...) to overcome the corresponding drawbacks of these frameworks. I show that Kolb’s theory fails to achieve its goal because it is rooted in some of the fundamental epistemological presuppositions of these frameworks. Subsequently, I present a group of works from phenomenology, in particular Merleau-Ponty’s, in order to show that Kolb’s attempt is insufficient due to a lack of understanding of the problem expressed by Kant via the concept of schema. Finally, I outline an interpretation of experiential learning as differentiation of experiential schemas and explain how it meets the epistemological challenges outlined above. (shrink)

Business Ethics, the Environment &Responsibility, Volume 31, Issue 3, Page 634-648, July 2022.

Cells can change their function by rapidly modulating the levels of certain proteins at the plasma membrane. This rapid modulation is achieved by using a specialised trafficking process called constitutive cycling. The constitutive cycling of a variety of transmembrane proteins such as receptors, channels and transporters has recently been directly demonstrated in a wide range of cell types. This regulation is thought to underlie important biological phenomena such as learning and memory, gastric acid secretion and water and blood glucose (...) homeostasis. This review discusses the molecular mechanisms of constitutive cycling, its regulation by extracellular agents such as hormones and its misregulation in disease states. BioEssays 25:39–46, 2003. © 2002 Wiley Periodicals, Inc. (shrink)

This chapter contains sections titled: Riding Out of the Cave Discipline and Diet Toughing It Out Surprises Down the Road From Tribulation to Wisdom Notes.

In multi‐stakeholder networks, actors from civil society, business and governmental institutions come together in order to find a common solution to a problem that affects all of them. Problems approached by such networks often affect people across national boundaries, tend to be very complex and are not sufficiently understood. In multi‐stakeholder networks, information concerning a problem is gathered from different sources, learning takes place, conflicts between participants are addressed and cooperation is sought. Corporations are key actors in many networks, (...) because the problems addressed are frequently related to business activities. The aim of this article is to conceptualise multi‐stakeholder networks by proposing a problem‐centred stakeholder definition. From an analysis of several case studies, a life cycle model is deduced that distinguishes seven phases: initiation, acquaintance, first and second agreement, implementation, consolidation and institutionalisation. (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)

In multi‐stakeholder networks, actors from civil society, business and governmental institutions come together in order to find a common solution to a problem that affects all of them. Problems approached by such networks often affect people across national boundaries, tend to be very complex and are not sufficiently understood. In multi‐stakeholder networks, information concerning a problem is gathered from different sources, learning takes place, conflicts between participants are addressed and cooperation is sought. Corporations are key actors in many networks, (...) because the problems addressed are frequently related to business activities. The aim of this article is to conceptualise multi‐stakeholder networks by proposing a problem‐centred stakeholder definition. From an analysis of several case studies, a life cycle model is deduced that distinguishes seven phases: initiation, acquaintance, first and second agreement, implementation, consolidation and institutionalisation. (shrink)

What everything is about -- Why understanding cycles matters and how to recognize a cycle when you're in one -- A new science in the making -- How cycles study became a science that can explain the universe or predict your future -- Follow the money -- Cycles students got profitable early warnings of the 2008/9 financial crisis, did you? -- Nature on the move -- Will it rain on your parade? Will a rising tide flood your (...) basement? : try asking cycles -- Heeding nature's clock -- Do you doze after lunch? : it isn't food, are you bright at dawn? : it's not sun, it's cycles -- Making the most of moods -- For the curse in woman or just the blues in anyone, cycles can be a saving grace -- Cycles as history -- How did China get so rich? Why the war in Afghanistan? -- It could be star-born cycles -- Looking to the heavens -- Is the universe a giant musical instrument? : scientists and poets can hear it singing -- Thinking out of the box -- Independent thinkers are allied with cycles students in learning from nature's rich text. (shrink)

In this article, I explore plant semiosis with a focus on plant learning. I distinguish between the scales and levels of learning conceivable in phytosemiosis, and identify organism-scale learning as the distinguishing question for plant semiosis. Since organism-scale learning depends on organism-scale semiosis, I critically review the arguments regarding whole-plant functional cycles. I conclude that they have largely relied on Uexküllian biases that have prevented an adequate interpretation of modern plant neurobiology. Through an examination of (...) trophic growth in plant roots, I expose some conceptual difficulties in attributing functional cycles to whole-plants. I conclude that the mapping of resource areas in the root system is a learning activity requiring higher-scale sign activity than is possible at the cellular scale, strongly suggesting the presence of organism-scale functional cycles. I do, however, question whether all perception-action cycles in organisms are accompanied with organism-scale semiosis. (shrink)

This chapter contains sections titled: When to Start Cycling An Experiment in Living Philosophical Tailwinds Voluntary Poverty Notes.

In multi-stakeholder networks, actors from civil society, business and governmental institutions come together in order to find a common solution to a problem that affects all of them. Problems approached by such networks often affect people across national boundaries, tend to be very complex and are not sufficiently understood. In multi-stakeholder networks, information concerning a problem is gathered from different sources, learning takes place, conflicts between participants are addressed and cooperation is sought. Corporations are key actors in many networks, (...) because the problems addressed are frequently related to business activities. The aim of this article is to conceptualise multi-stakeholder networks by proposing a problem-centred stakeholder definition. From an analysis of several case studies, a life cycle model is deduced that distinguishes seven phases: initiation, acquaintance, first and second agreement, implementation, consolidation and institutionalisation. (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)

Studies of scientific practice demonstrate that the development of scientific models is an enactive and emergent process. Scientists make meaning through processes such as perspective taking, finding patterns, and following intuitions. In this paper, we focus on how a group of fourth grade learners and their teacher engaged in interpretation in ways that align with core ideas and practices in kinematics and computing. Cycles of measuring and modeling––including computer programming––helped to support classroom interactions that highlighted the interpretive nature of (...) modeling and participation in model construction as a knowledge-building process. We draw on literature from the history and philosophy of science in order to analyze the students’ interpretive actions as forms of epistemic and representational agency, constituting a construct we term disciplined interpretation. We demonstrate how students’ disciplined interpretative moves help to position them as owners of their own design decisions and their rights to interpret the phenomena they were modeling, data collected from those phenomena, and the scientific and computational models themselves. We present four extended episodes that characterize the nature of activity in the classroom and the development of students’ disciplined interpretations in terms of learning to recognize scientific patterns amid complex perceptual fields, and to represent them in ways that support sensemaking. (shrink)

This paper considers the piloting of an online learning component of a final-year social work degree ethics module at an inner-city English university. An Action Research approach was used to evaluate this pilot project and the paper illustrates how students were involved in developing and designing the teaching programme as part of the Action Research cycle. The paper explores theoretical aspects of e-learning pedagogy through an analysis of issues emerging during the planning and delivery of this pilot project. (...) The cognitive and affective impact of both face-to-face and electronic learning is discussed. It is suggested that some students may experience e-learning as a safe space for thinking about ethical dilemmas. The challenges for teachers and learners are highlighted and the author argues that in order to support student learning, online teaching needs to be carefully designed and appropriately resourced. (shrink)

This study examined the effect of a prior bout of exercise on implicit cognition. Specifically, we examined whether a prior bout of moderate intensity exercise affected performance on a statistical learning task in healthy adults. A total of 42 participants were allocated to one of three conditions—a control group, a group that exercised for 15 min prior to the statistical learning task, and a group that exercised for 30 min prior to the statistical learning task. The participants (...) in the exercise groups cycled at 60% of their respective V˙O2max. Each group demonstrated significant statistical learning, with similar levels of learning among the three groups. Contrary to previous research that has shown that a prior bout of exercise can affect performance on explicit cognitive tasks, the results of the current study suggest that the physiological stress induced by moderate-intensity exercise does not affect implicit cognition as measured by statistical learning. (shrink)

This chapter contains sections titled: Two‐Wheeled Sensations The “Bicycling Method” Lessons from the Saddle Finding the Words Notes.

The Quest for Learning: How to Maximize Student Engagement affirms that traditional classroom learning experiences, in which you plan lessons and voice instruction at the front of the room, do not meet 21st century students learning needs. Questing is a customizable pedagogy that readers and their students together tailor to a students abilities, needs, and interests. Side by side, and aligned with learning targets, readers learn how teachers and students determine what a student will learn about (...) and at what pace. Authors Marie Alcock, Michael Fisher, and Allison Zmuda propose three tenets of engagement (1) the learner engages with relevant, worthy inquiries and experiences that are interesting or emotionally gripping, (2) the learner engages in an active, intentional cycle with clear goals and right-sized, actionable steps, and (3) the learner engages in social, collaborative opportunities that grow expertise that allow students to take ownership of their learning. To further that ownership, students decide which design type they want to use to explore their quest topic (1) question, (2) game, or (3) network. Students then pursue lines of inquiry, design or play games, or communicate with peers and experts in online and physical spaces. Each is a method for becoming an expert on chosen topics. (shrink)

The paper studies a specific adaptive learning rule when each player faces a unidimensional strategy set. The rule states that a player keeps on incrementing her strategy in the same direction if her utility increased and reverses direction if it decreased. The paper concentrates on games on the square [0,1]×[0,1]\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$[0,1]\times [0,1]$$\end{document} as mixed extensions of 2×2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2\times 2$$\end{document} games. We study in general (...) the behavior of the system in the interior as well as on the borders of the strategy space. We then describe the system asymptotic behavior for symmetric, zero-sum, and twin games. Original patterns emerge. For instance, for the “prisoner’s dilemma” with symmetric initial conditions, the system goes directly to the symmetric Pareto optimum. For “matching pennies,” the system follows slowly expanding cycles around the mixed strategy equilibrium. (shrink)

Understanding the day/night cycle requires integrating observations of the sky (an Earth-based perspective) with scientific models of the solar system (a space-based perspective). Yet children often fail to make the right connections and resort to non-scientific intuitions – for example, the Sun moving up and down – to explain what they observe. The present research explored whether children’s gestures indicate their conceptual integration of Earth- and space-based perspectives. We coded the spontaneous gestures of 85 third-grade children in U.S. public schools (...) (Mage = 8.87 years) as they verbally explained the overall cause of the day/night cycle, the cause of sunrise, and the cause of sunset after receiving science instruction as part of a prior study. We focused on two kinds of gestures: those reflecting the Sun’s motion across the sky and those reflecting the Earth’s axial rotation. We found that participants were more likely to produce Earth rotation gestures for a topic they explained more accurately (the overall cause of the day/night cycle), whereas Sun motion gestures were more common for topics they explained less accurately (the causes of sunrise and sunset). Further, participants who produced rotation gestures tended to provide more accurate verbal explanations of the overall cause. We discuss how gestures could be used to measure – and possibly improve – children’s conceptual understanding and why sunrise and sunset may be particularly difficult topics to learn. (shrink)

Introduction -- Collocations, units of meaning and formulaic language -- Collocations and second language learning -- Methodology -- The first and second reflective cycles -- The third and fourth reflective cycles -- Discussion and conclusion.

Given the pervasiveness of AI systems and their potential negative effects on people’s lives (especially among already marginalised groups), it becomes imperative to comprehend what goes on when an AI system generates a result, and based on what reasons, it is achieved. There are consistent technical efforts for making systems more “explainable” by reducing their opaqueness and increasing their interpretability and explainability. In this paper, we explore an alternative non-technical approach towards explainability that complement existing ones. Leaving aside technical, statistical, (...) or data-related issues, we focus on the very conceptual underpinnings of the design decisions made by developers and other stakeholders during the lifecycle of a machine learning project. For instance, the design and development of an app to track snoring to detect possible health risks presuppose some picture or another of “health”, which is a key notion that conceptually underpins the project. We take it as a premise that these key concepts are necessarily present during design and development, albeit perhaps tacitly. We argue that by providing “justificatory explanations” about how the team understands the relevant key concepts behind its design decisions, interested parties could gain valuable insights and make better sense of the workings and outcomes of systems. Using the concept of “health”, we illustrate how a particular understanding of it might influence decisions during the design and development stages of a machine learning project, and how making this explicit by incorporating it into ex-post explanations might increase the explanatory and justificatory power of these explanations. We posit that a greater conceptual awareness of the key concepts that underpin design and development decisions may be beneficial to any attempt to develop explainability methods. We recommend that “justificatory explanations” are provided as technical documentation. These are declarative statements that contain at its simplest: (1) a high-level account of the understanding of the relevant key concepts a team possess related to a project’s main domain, (2) how these understandings drive decision-making during the life-cycle stages, and (3) it gives reasons (which could be implicit in the account) that the person or persons doing the explanation consider to have plausible justificatory power for the decisions that were made during the project. (shrink)

Even a small percentage of missing data can cause serious problems with analysis, reducing the statistical power of a study and leading to wrong conclusions being drawn. In the case of monitoring a woman’s monthly cycle, missing entries can appear even in a woman experienced in fertility awareness methods. Due to the fact that in a system of controlling a woman’s fertility, it is the most important to predict the day of ovulation and, ultimately, to determine the fertile window as (...) much precisely as possible, much attention should be paid to the quality of the used data. This paper presents the results of handling missing observations as far as predicting the time during the cycle when a woman can become pregnant is concerned. Data taken from a multinational European study of daily fecundability was used to learn the quantitative part of the variety of a higher-order dynamic Bayesian network modeling a woman’s monthly cycle. The main goal of this paper is to examine whether omitting observations has an influence on the model’s reliability. The accuracy of comparison was examined based on two measures: the average percentage length of the infertile time during the monthly cycle and average percentage of days inside the fertile window classified as infertile. (shrink)

Shifting learning to distant formats especially at the higher education level has been unprecedented during the past decade. Diverse digital learning media have been emerging which allow learner autonomy, and at the same time, require the ability of efficient regulation of various aspects of the learning process for sustainable academic progress. In this context, supporting students in self-regulated learning in an optimal way becomes an important factor for their academic success. The present study attempts through a (...) systematic review of 38 studies to provide an overview of the interventions identified as supporting all areas of SRL, in its three phases in distance education environments at the higher education level. As the study results show, there are a number of SRL support interventions available with proven positive effect on SRL. However, their distribution has been found to be uneven. Whereas metacognition regulation and the performance phase of learning is vastly investigated, the emotion regulation, and the preparatory and appraisal phases of the SRL cycle are somewhat underexplored. As complex and multi-component as the process of SRL is, the combination of various interventions, and specific features, for more comprehensive support has also been found beneficial. Additionally, it has been revealed that the emotion regulation, in most cases, is closely related to motivation regulation, and similar interventions support these two. Future studies can further explore the efficiency and relevance of the identified interventions, taking closer look at the effects of various digital media, learner characteristics as well as different levels of education on learners’ self-regulation needs. (shrink)

There is little room left for doubt or even debate at the severity of the ecological, indeed planetary crises that we find ourselves in during this period coined the Anthropocene. As educators working in the face of these crises, we have asked ourselves the question ‘how do we carry on?’ We reflect on a set of sensory, multimodal, meditative and arts-based pedagogical activities that bridge the geographical, biological, sociological and environmental dimensions of learning using the concepts from Hannah Arendt (...) and John Dewey, in a higher-education context in Sweden. The first-cycle (undergraduate level) course in which these activities are conducted—Teaching sustainability from a global perspective - engages students in a range of pedagogical activities designed to encourage greater awareness of sustainability issues in diverse educational settings. In this paper we reflect on pedagogical practices as praxis in a sustainability focused course, and use the theory of practice architectures to question what people do in a particular time and place. We explore how educating for the future using multimodal and arts-based pedagogies could be a strategy to support new ways for reconfiguring environmental sustainability education in the Anthropocene. (shrink)

This practical book is designed to help school leaders develop a sustainable culture of learning across the curriculum. It offers a personal insight into how one school embraced a range of dialogic and analytical tools to create an environment in which all stakeholders were inspired to evaluate and innovate. Each chapter tackles one piece of the 'jigsaw' that makes up a successful school environment, considering topics such as Attitudes for Learning, Coaching for learning and Love of (...) class='Hi'>Learning. Utilising theory, case studies and activities, it illustrates how the reader can realistically and practically increase student attainment in their own school setting. This book will help leaders: Develop a supportive and encouraging leadership style that will create a cycle of self-improvement and self-efficacy for all ; Adapt the curriculum to focus on progress and engagement ; Use the Philosophy 4 Children strategies to promote deeper thinking and enquiry, increasing the rate of school improvement through a system of enquiry based staff professional development Using an inner city primary school as a working example, this book will be a source of inspiration and encouragement for school leaders, teachers and school advisors looking to cultivate and embed a love of learning into their school. (shrink)

Children with developmental language disorder (DLD) served as a test case for determining the role of extant vocabulary knowledge, endogenous attention, and phonological working memory abilities in cross-situational word learning. First-graders (Mage = 7 years; 3 months), 44 with typical development (TD) and 28 with DLD, completed a cross-situational word-learning task comprised six cycles, followed by retention tests and independent assessments of attention, memory, and vocabulary. Children with DLD scored lower than those with TD on all measures (...) of learning and retention, a performance gap that emerged in the first cycle of the cross-situational protocol and that we attribute to weaknesses in initial encoding. Over cycles, children with DLD learned words at a similar rate as their TD peers but they were less flexible in their strategy use, demonstrating a propose-but-verify approach but never a statistical aggregation approach. Also, they drew upon different mechanisms to support their learning. Attention played a greater role for the children with DLD, whereas extant vocabulary size played a greater role for the children with TD. Children navigate the problem space of cross-situational learning via varied routes. This conclusion is offered as motivation for theorists to capture all learners, not just the most typical ones. (shrink)

The most obvious way in which a philosopher can contribute to work on moral education is through work in ethics. Just as work in mathematical or scientific education could not get off the ground without a determinate idea of the structure of what has to be learnt in these spheres, so too a determinate notion of ‘morality’ is an essential precondition for any serious approach to moral education. It might be argued, too, that it is particularly important for philosophers to (...) do this because of the covert way in which ethical assumptions are smuggled into empirical work in this field. Any psychological account of moral development or moral education must be from a particular standpoint in ethics; for the delimitation of ‘moral’ is not a neutral matter. Psychologists working within Piagetian, Freudian, or social learning frameworks are too apt to work with an implicit ethical position. The job of the philosopher is, therefore, to make such ethical positions explicit and to discuss the arguments that might be given for them. (shrink)

Software defects prediction at the initial period of the software development life cycle remains a critical and important assignment. Defect prediction and correctness leads to the assurance of the quality of software systems and has remained integral to study in the previous years. The quick forecast of imperfect or defective modules in software development can serve the development squad to use the existing assets competently and effectively to provide remarkable software products in a given short timeline. Hitherto, several researchers have (...) industrialized defect prediction models by utilizing statistical and machine learning techniques that are operative and effective approaches to pinpoint the defective modules. Tree family machine learning techniques are well-thought-out to be one of the finest and ordinarily used supervised learning methods. In this study, different tree family machine learning techniques are employed for software defect prediction using ten benchmark datasets. These techniques include Credal Decision Tree, Cost-Sensitive Decision Forest, Decision Stump, Forest by Penalizing Attributes, Hoeffding Tree, Decision Tree, Logistic Model Tree, Random Forest, Random Tree, and REP-Tree. Performance of each technique is evaluated using different measures, i.e., mean absolute error, relative absolute error, root mean squared error, root relative squared error, specificity, precision, recall, F-measure, G-measure, Matthew’s correlation coefficient, and accuracy. The overall outcomes of this paper suggested RF technique by producing best results in terms of reducing error rates as well as increasing accuracy on five datasets, i.e., AR3, PC1, PC2, PC3, and PC4. The average accuracy achieved by RF is 90.2238%. The comprehensive outcomes of this study can be used as a reference point for other researchers. Any assertion concerning the enhancement in prediction through any new model, technique, or framework can be benchmarked and verified. (shrink)

BackgroundThe advent of learning healthcare systems (LHSs) raises an important implementation challenge concerning how to request and manage consent to support secondary use of data in learning cycles, particularly research activities. Current consent models in Quebec were not established with the context of LHSs in mind and do not support the agility and transparency required to obtain consent from all involved, especially the citizens. Therefore, a new approach to consent is needed. Previous work identified the meta-consent model (...) as a promising alternative to fulfill the requirements of LHSs, particularly large-scale deployments. We elicited the public’s attitude toward the meta-consent model to evaluate if the model could be understood by the citizens and would be deemed acceptable to prepare for its possible implementation in Quebec.MethodsEight focus groups, with a total of 63 members of the general public from various backgrounds were conducted in Quebec, Canada, in 2019. Explicit attention was given to literacy levels, language spoken at home and rural vs urban settings. We assessed attitudes, concerns and facilitators regarding key components of the meta-consent model: predefined categories to personalized consent requests, a dynamic web-based infrastructure to record meta-consent, and default settings. To analyse the discussions, a thematic content analysis was performed using a qualitative software.ResultsOur findings showed that participants were supportive of this new approach of consent as it promotes transparency and offers autonomy for the management of their health data. Key facilitators were identified to be considered in the implementation of a meta-consent model in the Quebec LHSs: information and transparency, awareness campaigns, development of educational tools, collaboration of front-line healthcare professionals, default settings deemed acceptable by the society as well as close partnerships with recognized and trusted institutions.ConclusionsThis qualitative study reveals the openness of a sample of the Quebec population regarding the meta-consent model for secondary use of health data for research. This first exploratory study conducted with the public is an important step in guiding decision-makers in the next phases of implementing the various strategies to support access and use of health data in Quebec. (shrink)

Using a design-based research approach, we studied ways to advance opportunities for children and families to engage in engineering design practices in an informal educational setting. 213 families with 5–11-year-old children were observed as they visited a tinkering exhibit at a children’s museum during one of three iterations of a program posing an engineering design challenge. Children’s narrative reflections about their experience were recorded immediately after tinkering. Across iterations of the program, changes to the exhibit design and facilitation provided by (...) museum staff corresponded to increased families’ engagement in key engineering practices. In the latter two cycles of the program, families engaged in the most testing, and in turn, redesigning. Further, in the latter cycles, the more children engaged in testing and retesting during tinkering, the more their narratives contained engineering-related content. The results advance understanding and the evidence base for educational practices that can promote engineering learning opportunities for children. (shrink)

The effect of concurrent movement on incidental versus intentional statistical learning was examined in two experiments. In Experiment 1, participants learned the statistical regularities embedded within familiarization stimuli implicitly, whereas in Experiment 2 they were made aware of the embedded regularities and were instructed explicitly to learn these regularities. Experiment 1 demonstrated that while the control group were able to learn the statistical regularities, the resistance-free cycling group and the exercise group did not demonstrate learning. This is in (...) contrast with the findings of Experiment 2, where all three groups demonstrated significant levels of learning. The results suggest that the movement demands, rather than the physiological stress, interfered with statistical learning. We suggest movement activates the striatum, which is not only responsible for motor control but also plays a role in incidental learning. (shrink)

Error is protean, ubiquitous and crucial in scientific process. In this paper it is argued that understanding scientific process requires what is currently absent: an adaptable, context-sensitive functional role for error in science that naturally harnesses error identification and avoidance to positive, success-driven, science. This paper develops a new account of scientific process of this sort, error and success driving Self-Directed Anticipative Learning (SDAL) cycling, using a recent re-analysis of ape-language research as test example. The example shows the limitations (...) of other accounts of error, in particular Mayo’s (Error and the growth of experimental knowledge, 1996) error-statistical approach, and SDAL cycling shows how they can be fruitfully contextualised. (shrink)

This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our (...) primary concern is how these capabilities can scaffold each other's development in a continuous feedback cycle as their interactions yield increasingly sophisticated competencies in the agent's capacity to interact with others and manipulate its world. Experimental results are summarized in relation to milestones in human linguistic and cognitive development and show that the mutual scaffolding of social learning, individual learning, and linguistic capabilities creates the context, conditions, and requisites for learning in each domain. Challenges and insights identified as a result of this research program are discussed with regard to possible and actual contributions to cognitive science and language ontogeny. In conclusion, directions for future work are suggested that continue to develop this approach toward an integrated framework for understanding these mutually scaffolding processes as a basis for language development in humans and robots. (shrink)

We reflect on our experience co-teaching a medical humanities elective, “Pandemics and Plagues,” which was offered to undergraduates during the Spring 2021 semester, and discuss student reactions to studying epidemic disease from multidisciplinary medical humanities perspectives while living through the world Covid-19 pandemic. The course incorporated basic microbiology and epidemiology into discussions of how epidemics from the Black Death to HIV/AIDS have been portrayed in history, literature, art, music, and journalism. Students self-assessed their learning gains and offered their insights (...) using the SALG, describing how the course enhanced their understanding of the current pandemic. In class discussions and written assignments, students paid particular attention to issues of social justice, political context, and connections between past pandemics and Covid-19. Student responses indicate enhanced understanding of the scientific and medical aspects of epidemics and also increased appreciation of the insights to be gained from the medical humanities. We discuss co-teaching the class during a real-time, twenty-four-hour-news-cycle pandemic, and the ways in which that experience underlines the value of a “critical medical humanities” approach for undergraduates. (shrink)