Quantum probability theory offers a viable alternative to classical probability, although there are some ambiguities inherent in transferring the quantum formalism to a less determined realm. A number of physicists are now looking at the applicability of quantum ideas to the assessment of physics learning, an area particularly suited to quantum probability ideas.

In this paper, we pursue three general aims: (I) We will define a notion of fundamental opacity and ask whether it can be found in High Energy Physics (HEP), given the involvement of machine learning (ML) and computer simulations (CS) therein. (II) We identify two kinds of non-fundamental, contingent opacity associated with CS and ML in HEP respectively, and ask whether, and if so how, they may be overcome. (III) We address the question of whether any kind of (...) opacity, contingent or fundamental, is unique to ML or CS, or whether they stand in continuity to kinds of opacity associated with other scientific research. (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)

As more objections have been raised against grant peer-review for being costly and time-consuming, the legitimate question arises whether machine learning algorithms could help assess the epistemic efficiency of the proposed projects. As a case study, we investigated whether project efficiency in high energy physics can be algorithmically predicted based on the data from the proposal. To analyze the potential of algorithmic prediction in HEP, we conducted a study on data about the structure and outcomes of HEP experiments (...) with the goal of predicting their efficiency. In the first step, we assessed the project efficiency using Data Envelopment Analysis of 67 experiments conducted in the HEP laboratory Fermilab. In the second step, we employed predictive algorithms to detect which team structures maximize the epistemic performance of an expert group. For this purpose, we used the efficiency scores obtained by DEA and applied predictive algorithms – lasso and ridge linear regression, neural network, and gradient boosted trees – on them. The results of the predictive analyses show moderately high accuracy, indicating that they can be beneficial as one of the steps in grant review. Still, their applicability in practice should be approached with caution. Some of the limitations of the algorithmic approach are the unreliability of citation patterns, unobservable variables that influence scientific success, and the potential predictability of the model. (shrink)

Five studies examined how interacting with the physical environment can support the development of fraction concepts. Nine‐ and 10‐year‐old children worked on fraction problems they could not complete mentally. Experiments 1 and 2 showed that manipulating physical pieces facilitated children's ability to develop an interpretation of fractions. Experiment 3 demonstrated that when children understood a content area well, they used their interpretations to repurpose many environments to support problem solving, whereas when they needed to learn, they were prone to the (...) structure of the environment. Experiments 4 and 5 examined transfer after children had learned by manipulating physical pieces. Children who learned by adapting relatively unstructured environments transferred to new materials better than children who learned with “well‐structured” environments that did not require equivalent adaptation. Together, the findings reveal that during physically distributed learning, the opportunity to adapt an environment permits the development of new interpretations that can advance learning. (shrink)

Engaging in regular physical activity can have substantial cognitive and academic benefits for children, and is generally promoted for its beneficial effects on children’s physical and mental health. Although embodied cognition research has convincingly shown the integral relationship of the human body and mind, in schools physical activity and cognitive activity are typically treated as unrelated processes. Consequently, most physical activities used are neither sufficiently relevant for nor fully integrated into the learning tasks. In reviewing the literature regarding the (...) integration of physical activity into education to promote cognition and learning, two main lines of research emerged: exercise and cognition research vs. embodied cognition research. In this narrative review, we describe these two separately evolved schools of thought, highlighting their differences and commonalities. In categorising the existing studies on a 2 × 2 matrix, concerning the two main categories of relevance for and integration into the learning task, it becomes clear where the different foci lie, and how both lines of research could profit from learning from each other. Finally, a new instructional model that integrates task-relevant physical activities into the cognitive/learning task is proposed to inform both further research and educational practice. (shrink)

This book presents the first English translation of the original French treatise “La Physique d’Einstein” written by the young Georges Lemaître in 1922, only six years after the publication of Albert Einstein’s theory of General Relativity. It includes an historical introduction and a critical edition of the original treatise in French supplemented by the author’s own later additions and corrections. -/- Monsignor Georges Lemaître can be considered the founder of the “Big Bang Theory” and a visionary architect of modern Cosmology. (...) The scientific community is only beginning to grasp the full extent of the legacy of this towering figure of 20th century physics. Against the best advice of the greatest names of his time, the young Lemaître was convinced, solely through the study of Einstein’s theory of General Relativity, that space and time must have had a beginning with a tremendous “Big Bang” from a “quantum primeval atom” resulting in an ever-expanding Universe with a positive cosmological constant. -/- But how did the young Lemaître, essentially on his own, come to grips with the physics of Einstein? A year before his ordination as a diocesan priest, he submitted the audacious treatise, published in this book, that was to earn him Fellowships to study at Cambridge, MIT and Harvard, and launched him on a scientific path of ground-breaking discoveries. Almost a century after Lemaître’s seminal publications of 1927 and 1931, this highly pedagogical treatise is still of timely interest to young minds and remains of great value from a history of science perspective. (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)

Childhood obesity, linked to a sedentary lifestyle and an unbalanced diet, is one of the main problems in today’s Western societies. In this sense, the aim of the study was to analyze students’ perceived satisfaction in physical education classes with learning strategies and engagement in learning and critical thinking as determinants of healthy lifestyle habits. The study involved 2,439 high school students aged 12–18 years (M= 14.66,SD= 1.78). Structural equation modeling was conducted to analyze the predictive relationships between (...) the study variables. The results showed that teaching, teaching mastery, and cognitive development are precursors to deep thinking on the part of students, indicators of the adoption of healthy lifestyle habits. These results reflect the importance of the methodology adopted by the teacher in order to positively influence the students’ habits. (shrink)

In this essay, I provide an overview of the debate on infinite and essential idealizations in physics. I will first present two ostensible examples: phase transitions and the Aharonov–Bohm effect. Then, I will describe the literature on the topic as a debate between two positions: Essentialists claim that idealizations are essential or indispensable for scientific accounts of certain physical phenomena, while dispensabilists maintain that idealizations are dispensable from mature scientific theory. I will also identify some attempts at finding a (...) middle ground between the essentialists and dispensabilists camps. Finally, I will raise questions for future research on essential and infinite idealizations via the notion of exploration. (shrink)

A study of a group of elementary school students learning to control a computer‐implemented Newtonian object reveals a surprisingly uniform and detailed collection of strategies, at the core of which is a robust “Aristotelian” expectation that things should move in the direction they are last pushed. A protocol of an undergraduate dealing with the same situation shows a large overlap with the set of strategies used by the elementary school children and thus a marked lack of influence of classroom (...) physics training on this student's naive physics. The data from these two studies are pooled and elaborated into a “genetic task analysis” of how one might come to understand Newtonian dynamics as a more or less natural evolution from the naive state. (shrink)

Ionizing radiation is present in various situations in the contemporary world. Defining the quantities and units for this field is a complex scientific task, especially the quantities used in radiological protection (RP) to estimate the damage caused to individuals exposed to radiation (detriment). This article highlights the lack of consensus in the scientific RP community regarding the quantities and units employed in practice from the perspective of the philosophy of science. The basic concepts related to the system of quantities are (...) presented, followed by the problems and criticisms addressed by experts in the field. Several reasons for these problems are identified. The article discusses the scant interest on the part of philosophy of science in RP. The philosophy of science is still dominated by an analytical–conceptual perspective that pays little attention to the actual influence of certain structures better understood when considered from the institutional viewpoint, which is here exemplified by the International Commission on Radiological Protection (ICRP) and the International Atomic Energy Agency (IAEA). (shrink)

Things metaphysics can learn from physics Content Type Journal Article Pages 1-3 DOI 10.1007/s11016-010-9515-z Authors Isabelle Drouet, Institut Supérieur de Philosophie, Université Catholique de Louvain, Place du cardinal Mercier 14, 1348 Louvain-la-Neuve, Belgium Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.

ObjectiveTo determine the effects of learning interventions aimed at optimizing the quality of physical education on psychomotor, cognitive, affective and social learning outcomes in children and adolescents.DesignA systematic review and meta-analysis.Data SourcesAfter searching PsycInfo, ERIC, and SportDiscus electronic databases, we identified 135 eligible studies published between January 1, 1995 to May 1, 2021.Eligibility Criteria for Selecting StudiesWe included randomized controlled trials, quasi-experimental studies, and controlled trials that assessed the effect of a PE-based intervention against one of the four (...) identified learning domains in youth at school.ResultsOne hundred and thirty five studies with over 42,500 participants and 193 calculated effect sizes were included in the study. The mean effect across all the learning and development outcomes was small to medium. When adjusted for publication bias using the Duval and Tweedie Trim and Fill Method, this mean effect size increased to d = 0.40. Effect sizes varied significantly based on learning and development outcomes. Interventions that consistently report above or below the mean d = 0.40 effect are identified based on learning outcome. The greatest effects across interventions were witnessed in psychomotor learning outcomes followed by affective, social, and cognitive learning outcomes. A minority of PE interventions captured by this systematic review and meta-analysis reported having a negative effect on student learning and development.ConclusionThe interventions with the greatest effects on student learning and development were dependant on the learning domains. Some PE interventions with a pedagogical focus such as games-based approaches, TARGET/Mastery Teaching, and Sport Education were found to be strong investments across multiple domains. The evidence is limited however by consistency in intervention dosage, study design, and data collection instruments. The study received no internal or external funding and was not prospectively registered. (shrink)

Physics in Oxford, 1839-1939 offers a challenging new interpretation of pre-war physics at the University of Oxford, which was far more dynamic than most historians and physicists have been prepared to believe. It explains, on the one hand, how attempts to develop the University's Clarendon Laboratory by Robert Clifton, Professor of Experimental Philosophy from 1865 to 1915, were thwarted by academic politics and funding problems, and latterly by Clifton's idiosyncratic concern with precision instrumentation. Conversely, by examining in detail (...) the work of college fellows and their laboratories, the book reconstructs the decentralized environment that allowed physics to enter on a period of conspicuous vigour in the late nineteenth and early twentieth centuries, especially at the characteristically Oxonian intersections between physics, physical chemistry, mechanics, and mathematics. Whereas histories of Cambridge physics have tended to focus on the self-sustaining culture of the Cavendish Laboratory, it was Oxford's college-trained physicists who enabled the discipline to flourish in due course in university as well as college facilities, notably under the newly appointed professors, J. S. E. Townsend from 1900 and F. A. Lindemann from 1919. This broader perspective allows us to understand better the vitality with which physicists in Oxford responded to the demands of wartime research on radar and techniques relevant to atomic weapons and laid the foundations for the dramatic post-war expansion in teaching and research that has endowed Oxford with one of the largest and most dynamic schools of physics in the world. (shrink)

I-BLOCKS are an innovative concept of building blocks allowing users to manipulate conceptual structures and compose atomic actions while building physical constructions. They represent an example of enabling technologies for tangible interfaces since they emphasise physicality of interaction through the use of spatial and kinaesthetic knowledge. The technology presented in this paper is integrated in physical building blocks augmented with embedded and invisible microprocessors. Connectivity and behaviour of such structures are defined by the physical connectivity between the blocks. These are (...) general purpose, constructive, tangible user interface devices that can have a variety of applications. Unlike other approaches, I-BLOCKS do not only specify a computation that is performed by the target system but perform at the same time the computation and the associated action/functionality. Manipulating I-BLOCKS do not only mean constructing physical or conceptual structures but also composing atomic actions into complex behaviours. To illustrate this concept, the paper presents different scenarios in which the technology has been applied: storytelling performed through the construction of physical characters exhibiting emotional states, and learning activities for speech therapy in cases of dyslexia and aphasia. The scenarios are presented; discussing both the features of the technology used and the related interaction design issues. The paper concludes by reporting about informal trials that have been conducted with children. It should be noted that, even if both trials represent application scenarios for children, the I-BLOCKS technology is in principle open to different kinds of applications and target users like, for example, games for adults or brainstorming activities. (shrink)

Teachers of science-based education in Malaysian secondary schools, especially those in the field of physics, often find their students facing huge difficulties in dealing with conceptual ideas in physics, resulting thus in a lack of interest towards the subject. The aim of this study was to assess the effectiveness of the Brain-Based Teaching Approach (henceforth BBTA) in dealing with the issues of the conceptual understanding of Newtonian physics of Form Four students in secondary science schools in the (...) state of Kedah, situated in the northern region of Peninsular Malaysia, and also their learning motivation towards the subject of physics. The BBTA is based on the Brain-Based Learning Principles, where detailed attention is given to seven main steps: (1) activation; (2) clarify the outcome and paint big picture of the lesson; (3) making connection; (4) doing the learning activity; (5) demonstrate student understanding; (6) review for student recall and retention/closure; and (7) preview the new topic. The effectiveness of the BBTA within the targeted context was then assessed in a quasi-experimental research approach involving 100 Form Four students from two secondary science schools. Data collected using the Test of Conceptual Understanding of Newtonian Physics and the Questionnaire of Physics Learning Motivation were then analysed descriptively and inferentially. The results obtained revealed that the BBTA was in fact exceedingly effective in dealing with the problems aforementioned. It was found that students who received physics education taught using the BBTA possessed a better conceptual understanding of Newtonian physics and also a higher learning motivation in the subject of physics, compared to students who received physics education taught using conventional teaching methods. (shrink)

Recenze knihy:Georges Lemaître, Learning the Physics of Einstein with Georges Lemaître. Before the Big Bang Theory. Jan Govaerts and Jean-François Stoffel (eds.), Springer, 2019, 257 s.

With the development of learning abroad, deep learning is used in research fields. On the basis of deep learning, this article studies physical education. First, this article analyzes and explains the related concepts and current situation of physical education, and explains the measurement and definition of the mental health. Then, the function analysis algorithm of deep learning is explained and analyzed, in which the algorithm of the convolution neural network of deep learning is mainly described. (...) Finally, through experimental analysis, it shows that the research performance of deep learning in the physical education on college students’ mental health is relatively high. At the same time, through investigation and analysis, it is proposed that physical education in deep learning can improve mental health and social adaptability relatively high. And the content of physical education should focus on increasing physical psychological education and physical practice education, which can improve college students’ mental health and social adaptability compared with other teaching contents. Therefore, when introducing deep learning, universities should strengthen the physical education of college students. (shrink)

Predictive policing has become a new panacea for crime prevention. However, we still know too little about the performance of computational methods in the context of predictive policing. The paper provides a detailed analysis of existing approaches to algorithmic crime forecasting. First, it is explained how predictive policing makes use of predictive models to generate crime forecasts. Afterwards, three epistemologies of predictive policing are distinguished: mathematical social science, social physics and machine learning. Finally, it is shown that these (...) epistemologies have significant implications for the constitution of predictive knowledge in terms of its genesis, scope, intelligibility and accessibility. It is the different ways future crimes are rendered knowledgeable in order to act upon them that reaffirm or reconfigure the status of criminological knowledge within the criminal justice system, direct the attention of law enforcement agencies to particular types of crimes and criminals and blank out others, satisfy the claim for the meaningfulness of predictions or break with it and allow professionals to understand the algorithmic systems they shall rely on or turn them into a black box. By distinguishing epistemologies and analysing their implications, this analysis provides insight into the techno-scientific foundations of predictive policing and enables us to critically engage with the socio-technical practices of algorithmic crime forecasting. (shrink)

The large scale, time varying, and diversification of physically coupled networked infrastructures such as power grid and transportation system lead to the complexity of their controller design, implementation, and expansion. For tackling these challenges, we suggest an online distributed reinforcement learning control algorithm with the one-layer neural network for each subsystem or called agents to adapt the variation of the networked infrastructures. Each controller includes a critic network and action network for approximating strategy utility function and desired control law, (...) respectively. For avoiding a large number of trials and improving the stability, the training of action network introduces supervised learning mechanisms into reduction of long-term cost. The stability of the control system with learning algorithm is analyzed; the upper bound of the tracking error and neural network weights are also estimated. The effectiveness of our proposed controller is illustrated in the simulation; the results indicate the stability under communication delay and disturbances as well. (shrink)

Discussions of psychological measurement are largely disconnected from issues of measurement in the natural sciences. We show that there are interesting parallels and connections between the two, by focusing on a real and detailed example (temperature) from the history of science. More specifically, our novel approach is to study the issue of validity based on the history of measurement in physics, which will lead to three concrete points that are relevant for the validity debate in psychology. First of all, (...) studying the causal mechanisms underlying the measurements can be crucial for evaluating whether the measurements are valid. Secondly, psychologists would benefit from focusing more on the robustness of measurements. Finally, we argue that it is possible to make good science based on (relatively) bad measurements, and that the explanatory success of science can contribute to justifying the validity of measurements. (shrink)

This paper investigates the connection between psychological safety at work and physical health outcomes. Employing data from roughly a thousand respondents in Tokyo in 2021 and utilizing machine learning techniques along with traditional statistics, the study reveals that this popular concept in the field of business management and organization behavior, “psychological safety” at work, can enhance physical health of workers under certain conditions. The finding that its effect remains even when mental stress levels are controlled along with basic ascriptive (...) variables, extends the conventional notion around “psychological safety.” The recently developed Causal Forest Double Machine Learning (Causal Forest DML) analysis was used to generate a decision tree, shedding light on the structure of causal inference and indicating the key role of “age” and “personal income” as determinants of the effect of psychological safety on physical health. (shrink)

Blended Learning Solutions for Higher Education explores the origins, empirical foundations, and implementation of blended learning in colleges and universities. Since emerging as a third-way solution to traditional and virtual higher education models, blended learning has become a predominant learning modality in an era of rapid technological proliferation. Offering an alternative to longstanding yet flawed methodologies and assumptions about its validity, this book conceptualizes blended learning as a complex social practice mediated by knowledge, institutional rules, (...) policies, and norms as well as material factors such as technology and physical spaces. The book's original MIRACLE framework offers a research-grounded, highly practical guide to blended learning design, improvement, and long-term efficacy. From demystified history and heuristics to digitized platforms and course content to reimagined governance and regulations, these insights provide a thoughtful exemplar of blended learning's challenges and affordances along with a firm basis for integrating face-to-face and online learning, teaching, and assessment innovatively and creatively. (shrink)

Purpose - The study aimed at identifying the impact of using cooperative learning in acquiring some elements of physical fitness of the students at the Hashemite University. The experimental design was used. The sample consisted of (32) students enrolled in academic programs of the faculty of Physical Education at the Hashemite University during the first semester of the university academic year 2022/2023. The sample was randomly select. Methodology - The sample was divided into two equal groups control group (n=16) (...) and experimental group (n=16). After applying the tests on the elements of the method (flexibility, agility, medical ball throws, and 50-meter running). The reliability coefficient was calculated using Chronbach Alpha (0.92). The means, standard deviations, and T-test were calculated to determine the differences between the groups. Findings - The results showed an effect of cooperative learning on improving physical fitness, and statistically significant differences in favor of the experimental group. The researchers recommended applying cooperative learning while teaching the physical education. (shrink)

Research examining Service-Learning in Physical Education Teacher Education is ample. However, long-term investigations are still scarce and literature demands the application of this type of design to uncover the effects of SL on the long run. This study followed a longitudinal quantitative approach; thus, the participants completed the Civic Attitudes and Skills Questionnaire in three occasions. Results show that there exist significant differences between mean values of the global outcomes of the CASQ; concretely, there was an improvement in the (...) first interval followed by a decrease in the second period. Regarding the different dimensions of the CASQ, leadership skills, attitudes towards social justice and attitudes towards diversity showed significant differences too. This research leads towards better understanding of methodological strategies promoting quality education, positing SL as an adequate possibility in this respect, also in the long term. (shrink)

Patrick Frierson - Learning to Love: From Egoism to Generosity in Descartes - Journal of the History of Philosophy 40:3 Journal of the History of Philosophy 40.3 313-338 Learning to Love: From Egoism to Generosity in Descartes Patrick R. Frierson The whole of philosophy is like a tree. The roots are metaphysics, the trunk is physics, and the branches emerging from the trunk are all the other sciences, which may be reduced to three principal ones, namely medicine, (...) mechanics, and morals. Descartes is well known for his metaphysics and physics, the roots and trunk of his philosophical project. But Descartes's morals are generally neglected, partly because they are so difficult to find. He does not dedicate a major published work to morality. His most direct comments on it are in letters to Princess Elizabeth and Pierre Chanut. The published work that most touches on moral issues is The Passions of the Soul, which is primarily a treatise on the relationship between mind and body. As a result of this lack of primary sources , there have been only a few significant studies of Descartes's moral philosophy in French, and only two major works devoted to it in English. This neglect of Descartes's ethics is unfortunate, not least since ethical concerns sometimes influence his work in other areas. This.. (shrink)

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

Not much. I demonstrate this by constructing a model of a memory system governed by deterministic, time reversible laws only, thereby showing that the mere fact of our having memories solely of the past does not necessitate an indeterministic, time asymmetric or stochastic physics, essentially thermodynamic processes or a primitive notion of time asymmetric causation.

The COVID-19 pandemic has drastically changed the lives of people all over the world. In particular, an unprecedented educational crisis has occurred due to the circumstances of physical distancing and remote learning. This article focuses specifically on the meaningful learning experiences in the everyday lives of adolescents during the pandemic. 72 meaningful learning experiences were identified from 11 participants who recorded their specific learning experiences for a week by a means of a journal recorded by themselves. (...) A content analysis was undertaken in order to identify the ecology (what, how, where, and who with) of the different learning experiences. The results show a prevalence of personal and conceptual learning, a presence of both formal and specifically informal, everyday activities among the meaningful learning experiences detected, the importance of peers, teacher and “learning experiences while alone,” and the use of digital technologies as learning resources; they also reveal the assistance of others in the learning process. The main contribution of this study illustrates how students in everyday life during pandemics are involved in a whole range of different activities both at school and at home. (shrink)