In the era of globalization, a deep understanding of the ḥalālan ṭayyiban food concept is becoming increasingly important. How we, especially the nation’s young generation, must understand, internalize, and apply these principles in our daily lives is an increasingly urgent challenge. Learning the concepts of ḥalāl food and thayyib is no longer just a matter of factual knowledge, but is also a deep ethical and religious responsibility. This article aims to prove and evaluate a relevant and innovative learning (...) approach to be applied in schools in re-conceptualizing the subject of ḥalālan ṭayyiban food in science subjects. The method used in the research was the pre-experiment method with a sample of 37 students in grades 4, 5, and 6 at The Mother Foundation Elementary School, who were selected randomly. Data collection was carried out using a quantitative and qualitative approach (mixed method) which was then analyzed descriptively using an epistemological philosophy of science perspective. Data obtained was taken using interview instruments and concept understanding tests. The results of this research show that the constructivist epistemological approach can increase students' conceptual understanding of the subject of ḥalālan ṭayyiban food with the gain calculation being in the high category. This proves that the constructivist epistemological approach can provide meaningful learning that directs students to explore their thinking in more depth. (shrink)

In this article I examine three examples of philosophical theories of scientific representation with the aim of assessing which of these is a good candidate for a philosophical theory of scientific representation in science learning. The three candidate theories are Giere's intentional approach, Suárez's inferential approach and Lynch and Woolgar's sociological approach. In order to assess which theory is more promising, I will compare the three candidate theories to two aspects of scientific representation in science learning (...) that emerge from empirical research on science learning. I label these aspects as the intentional and normative character of scientific representation in science learning. As I argue, whereas the other competing accounts of scientific representation can only capture one of the two aspects highlighted in this article, the inferential conception has the capacity to capture them both in a coherent way. Thus, I conclude that the inferential conception seems to be a fruitful philosophical theory of scientific representation in science learning. (shrink)

We have now celebrated the centenary of J. J. Thomson’s famous paper (1897) on the electron and have examined one hundred years of the history of our first fundamental particle. What should philosophers of science learn from this history? To some, the fundamental moral is already suggested by the rapid pace of this history. Thomson’s concern in 1897 was to demonstrate that cathode rays are electrified particles and not aetherial vibrations, the latter being the “almost unanimous opinion of German (...) physicists” (p. 293) But were these German physicists so easily vanquished? De Broglie proposed in 1923 that electrons are a wave phenomenon after all and his proposal was soon multiply vindicated, even by the detection of the diffraction of the electron waves. Should we not learn from such a reversal? Should we not dispense with the simple-minded idea that Thomson discovered our first fundamental particle and admit that the very notion of discovery might well be ill-suited to science? (shrink)

The educational use of daily-life contexts is considered a valuable strategy to promote meaningful science learning, since it facilitates the establishment of connections between previous knowledge, personal interests, and new learning. The aim of this work is to provide evidence to support the presence of gardens at educational centers, by assessing key science topics whose learning is promoted at the pre-school, primary, secondary, and university stages. To this end, we analyzed the paired graphic representations of (...) “a garden” that students drew both before and after their participation in a garden-based learning program. Firstly, we obtained the frequency of appearance of every represented element, and afterwards characterized the level of change between paired graphic representations. Sample size was of 24-19-25-29 pairs per stage, respectively. Across all stages, an overall improvement in students’ graphic expression was observed, which can be attributed to their experience in the space. At the pre-school stage, the garden favored the establishment of some simple cause-effect relationships which were consolidated at the primary stage, and provided a climate of motivation and affectivity that was evident in the final drawings, given the enormous quantity of details represented, the level of the finished product, and the careful combination and variety of colors. The presence of elements related to water notably increased in final graphic representations from pre-school, primary, and secondary education, thus evidencing that the use of gardens facilitates an approach to responsible water management. At the university stage, students initially demonstrated good knowledge of conventional agriculture, while the gardening experience -which was based on permaculture practices- helped evolve their ideas towards an alternative model of cultivation. The most prevalent science learning across all stages was related to plant knowledge, particularly to their anatomical traits and diversity. Finally, the role of educational gardens as models for students was evidenced, which suggests the importance of teachers and institutions carefully considering which model to offer. Overall, our results support the legitimacy of incorporating gardens to educational centers, particularly for promoting contact with live plants and plant knowledge, and potentially for promoting contact with garden fauna and activities oriented towards learning about it. (shrink)

Scientists from Einstein to Sagan have linked emotions like awe with the motivation for scientific inquiry, but no research has tested this possibility. Theoretical and empirical work from affective science, however, suggests that awe might be unique in motivating explanation and exploration of the physical world. We synthesize theories of awe with theories of the cognitive mechanisms related to learning, and offer a generative theoretical framework that can be used to test the effect of this emotion on early (...) science learning. (shrink)

Women are still underrepresented in engineering courses although some German universities offer separate women’s engineering courses which include virtual STEM learning environments. To outline information about fundamental aspects relevant for virtual STEM learning, one has to reveal which similarities both genders in virtual learning show. Moreover, the question arises as to whether there are in fact differences in the virtual science learning of female and male learners. Working with virtual STEM learning environments requires strategic (...) and arithmetic-operative competences. Even if we assume that female and male learners have similar competences levels, their correlational pattern of competences, motivational variables, and invested effort during virtual STEM learning might differ. If such gender differences in the correlations between cognitive and motivational variables and learning behavior were revealed, it would be possible to finetune study conditions for female students in a separate engineering course and shape virtual STEM learning in a more gender-appropriate manner. That might support an increase in the number of women in engineering courses. To reveal the differences and similarities between female and male learners, a field study was conducted with 56 students (female = 27, male = 29) as part of the Open MINT Labs project (the German term for Open STEM Labs, OML). The participants had to complete a virtual STEM learning environment during their regular scie... (shrink)

The aim of this paper is twofold. First, I want to show how hermeneutics can help philosophy of science to focus not only on explanation but also on understanding of meaning as an important part of science. Second, I want to argue that philosophy of science can improve the hermeneutic vision of understanding: a great part of what we call interpretations is in fact explanations of a pre-established meaning. Hence interpretation in the sense of explanation is ‘objective’ (...) as long as the interpretation reflects such a pre-established meaning. At the end I illustrate this point by presenting an interpretation of Botticelli's painting "The Mystical Nativity.". (shrink)

Informal science learning sites create opportunities for children to learn about science outside of the classroom. This study analyzed children’s learning behaviors in ISLS using video recordings of family visits to a zoo, children’s museum, or aquarium. Furthermore, parent behaviors, features of the exhibits and the presence of an educator were also examined in relation to children’s behaviors. Participants included 63 children and 44 parents in 31 family groups. Results showed that parents’ science questions and (...) explanations were positively related to children observing the exhibit. Parents’ science explanations were also negatively related to children’s science explanations. Furthermore, children were more likely to provide science explanations when the exhibit was not interactive. Lastly there were no differences in children’s behaviors based on whether an educator was present at the exhibit. This study provides further evidence that children’s interactions with others and their environment are important for children’s learning behaviors. (shrink)

The present study critically evaluates whether school leadership influences student learning homogenously regardless of school contexts. It examined relationships between four principal leadership variables (envisioning, instructional management, promoting professional development, empowerment) and two types of student outcomes (enjoyment in learning science, science achievement,) in different school contexts (in terms of the availability of science resources, quality of science teachers, and school socioeconomic status (SES)). The sample comprised 248,620 students and 9,370 principals in 35 developed (...) countries who participated in the Programme for International Student Assessment (PISA) 2015. Latent profile analysis (LPA) showed that schools operated in three types of school contexts with different levels of science resources, proportion of quality science teachers, and school SES. There were also differences in the pattern of leadership practices across the three types of school contexts. Three-level hierarchical linear modeling (HLM) showed that among the four leadership variables, only instructional management was positively associated with students’ enjoyment of science in schools with less science resources and quality science teachers. Therefore, instructional management had compensatory effects for students in less-endowed schools. In contrast, principal leadership related to envisioning, teacher professional development, and empowerment was not positively related to students’ science learning in all three school contexts. (shrink)

The image is the raw material of the twenty-first century. Images infiltrate all social and cultural spaces. Its digital-mediated realities drive communication, industry and knowledge. Images saturate life and adolescent learners are familiar with the participatory nature of image production and its social, educational and personal communicative realities. Vision and visibility, seeing and being now dominate how we inter-subjectively recognise ourselves and perform our world. We also find our aesthetic and embodied self increasingly constituted within imaging acts that are relational. (...) Visual culture may have colonised the self and learning, but imagination is without borders. The current pictorial turn opens possibilities to explore truth in flux through visual artistic acts. This article embeds Deleuzian method, which is one of intuitions, going beyond the actual, or our limited forms of representing life, to recognising that life has future imaginative potential forms and is always becoming. The article discusses an arts-based inquiry project for gifted artist visualiser/learners at an Australian regional university who are given broad topics on science phenomena and asked to give them expression. It suggests that pedagogies of the visual with their performative acts can prise open curriculum where an art-science interchange between two disciplines is made difficult by the current siloed nature of curriculum knowledge. Drawing on an analysis of Anika’s and Joel’s artworks and visual diaries it aims to reveal how their learning events dwell and are performed in aesthetic borderlands and how visual pedagogies forge new fluid visual borderlands and new learning. (shrink)

Interest in science and math plays an important role in encouraging STEM motivation and career aspirations. This interest decreases for girls between late childhood and adolescence. Relatedly, positive mentoring experiences with female teachers can protect girls against losing interest. The present study examines whether visitors to informal science learning sites differ in their expressed science and math interest, as well as their science and math stereotypes following an interaction with either a male or female educator. (...) Participants were visitors to one of four ISLS in the United States and United Kingdom. Following an interaction with a male or female educator, they reported their math and science interest and responded to math and science gender stereotype measures. Female participants reported greater interest in math following an interaction with a female educator, compared to when they interacted with a male educator. In turn, female participants who interacted with a female educator were less likely to report male-biased math gender stereotypes. Self-reported science interest did not differ as a function of educator gender. Together these findings suggest that, when aiming to encourage STEM interest and challenge gender stereotypes in informal settings, we must consider the importance of the gender of educators and learners. (shrink)

Science education is most efficacious and enduring when undertaken within a philosophical framework akin to that of science, itself. This entails recognition that, above all, science is a mode of rational inquiry pursued by those who are curious about the natural world and motivated to seek rational answers to personally meaningful questions. The key to successful science instruction lies in fostering a student' 's self-motivation and productively channeling his innate curiosity. To do this a science (...) educator must convey to students an accurate and sympathetic impression of the importance of science to their cultural development; help students develop an ability to evaluate information critically and arrive at logical conclusions; provide students opportunities to engage in creative, personally meaningful scientific research. (shrink)

This study used case studies from three science teachers to compare three groups of students studying Grade 8 physics using Robolab instead of traditional lab materials. The three teachers represented an English as a second language class, a regular class with many English language learner students, and a Mathematics, Engineering, Science Achievement class of afterschool volunteer students. The teachers responded to nine questions regarding issues such as how robotics addresses the middle school physics standards, promotes inquiry learning (...) and science literacy in students, increases applications and connection of science to everyday life, and provides the scaffolding for more discussion of everyday English and science academic language through the use of robotics materials and lab groups. The results indicated that robotics can promote inquiry, make physics more interesting, and help students learn and practice new words in English, among others. (shrink)

In recent years, the family of algorithms collected under the term ``deep learning'' has revolutionized artificial intelligence, enabling machines to reach human-like performances in many complex cognitive tasks. Although deep learning models are grounded in the connectionist paradigm, their recent advances were basically developed with engineering goals in mind. Despite of their applied focus, deep learning models eventually seem fruitful for cognitive purposes. This can be thought as a kind of biological exaptation, where a physiological structure becomes (...) applicable for a function different from that for which it was selected. In this paper, it will be argued that it is time for cognitive science to seriously come to terms with deep learning, and we try to spell out the reasons why this is the case. First, the path of the evolution of deep learning from the connectionist project is traced, demonstrating the remarkable continuity, and the differences as well. Then, it will be considered how deep learning models can be useful for many cognitive topics, especially those where it has achieved performance comparable to humans, from perception to language. It will be maintained that deep learning poses questions that cognitive sciences should try to answer. One of such questions is the reasons why deep convolutional models that are disembodied, inactive, unaware of context, and static, are by far the closest to the patterns of activation in the brain visual system. (shrink)

During the last three decades, reflections on the growth of scientific knowledge have inspired historians, sociologists, and some philosophers to contend that scientific objectivity is a myth. In this book, Kitcher attempts to resurrect the notions of objectivity and progress in science by identifying both the limitations of idealized treatments of growth of knowledge and the overreactions to philosophical idealizations. Recognizing that science is done not by logically omniscient subjects working in isolation, but by people with a variety (...) of personal and social interests, who cooperate and compete with one another, he argues that, nonetheless, we may conceive the growth of science as a process in which both our vision of nature and our ways of learning more about nature improve. Offering a detailed picture of the advancement of science, he sets a new agenda for the philosophy of science and for other "science studies" disciplines. (shrink)

Two great problems of learning confront humanity: learning about the nature of the universe and about ourselves and other living things as a part of the universe, and learning how to become civilized or enlightened. The first problem was solved, in essence, in the 17th century, with the creation of modern science. But the second problem has not yet been solved. Solving the first problem without also solving the second puts us in a situation of great (...) danger. All our current global problems have arisen as a result. What we need to do, in response to this unprecedented crisis, is learn from our solution to the first problem how to solve the second one. This was the basic idea of the 18th century Enlightenment. Unfortunately, in carrying out this programme, the Enlightenment made three blunders, and it is this defective version of the Enlightenment programme, inherited from the past, that is still built into the institutional/intellectual structure of academic inquiry in the 21st century. In order to solve the second great problem of learning we need to correct the three blunders of the traditional Enlightenment. This involves changing the nature of social inquiry, so that social science becomes social methodology or social philosophy, concerned to help us build into social life the progress-achieving methods of aim-oriented rationality, arrived at by generalizing the progress-achieving methods of science. It also involves, more generally, bringing about a revolution in the nature of academic inquiry as a whole, so that it takes up its proper task of helping humanity learn how to become wiser by increasingly cooperatively rational means. The scientific task of improving knowledge and understanding of nature becomes a part of the broader task of improving global wisdom. The outcome would be what we so urgently need: a kind of inquiry rationally designed and devoted to helping us make progress towards a genuinely civilized world. We would succeed in doing what the Enlightenment tried but failed to do: learn from scientific progress how to go about making social progress towards as good a world as possible. (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.

In this article I propose that a postphenomenological approach to science and technology can open new analytical understandings of how material artifacts, embodiment and social agency co-produce learned perceptions of objects. In particle physics, physicists work in huge groups of scientists from many cultural backgrounds. Communication to some extent depends on material hermeneutics of flowcharts, models and other visual presentations. As it appears in an examination of physicists’ scrutiny of visual renderings of different parts of a detector, perceptions vary (...) in relation to social and bodily experiences. Vision in physics has seemingly allowed an objective perception at a convenient distance of the body. This article challenges this view and proposes that the variations can be analysed as cultural at two echelons with the help of a postphenomenological approach combined with cultural psychological theory of artifacts. A third echelon presumably constitutes the phenomenological limit to culture in science. Even this last resort of subjectivity can be embraced by a postphenomenological approach. The process of culturalization in physics can be defined as a process of situating knowledge in a body whose continuous learning of micro-and macro perceptions makes scientific renderings unstable. Taken together postphenomenology, following the distinctions between body one and body two, and combined with cultural psychological learning theory, enables new insight into what constitutes culture in science. (shrink)

Current methods of operationalizing concepts of misinformation in machine learning are often problematic given idiosyncrasies in their success conditions compared to other models employed in the natural and social sciences. The intrinsic value-ladenness of misinformation and the dynamic relationship between citizens' and social scientists' concepts of misinformation jointly suggest that both the construct legitimacy and the construct validity of these models needs to be assessed via more democratic criteria than has previously been recognized.

Recent scholarship in philosophy of science and technology has shown that scientific and technological decision making are laden with values, including values of a social, political, and/or ethical character. This paper examines the role of value judgments in the design of machine-learning systems generally and in recidivism-prediction algorithms specifically. Drawing on work on inductive and epistemic risk, the paper argues that ML systems are value laden in ways similar to human decision making, because the development and design of (...) ML systems requires human decisions that involve tradeoffs that reflect values. In many cases, these decisions have significant—and, in some cases, disparate—downstream impacts on human lives. After examining an influential court decision regarding the use of proprietary recidivism-prediction algorithms in criminal sentencing, Wisconsin v. Loomis, the paper provides three recommendations for the use of ML in penal systems. (shrink)

Working from an integration of Michael Polanyi‘s image of learning as self-destruction and Max Weber’s analysis of the ethics of scholarship, the author explores the implications of Polanyi’s argument concerning “the depth to which the... person is involved even in... an elementary heuristic effort”. In the process, the author raises questions about current expectations concerning faculty “performance” and current methods of assessing faculty success in the classroom.

To what degree can language be acquired from linguistic input alone? This question has vexed scholars for millennia and is still a major focus of debate in the cognitive science of language. The complexity of human language has hampered progress because studies of language–especially those involving computational modeling–have only been able to deal with small fragments of our linguistic skills. We suggest that the most recent generation of Large Language Models (LLMs) might finally provide the computational tools to determine (...) empirically how much of the human language ability can be acquired from linguistic experience. LLMs are sophisticated deep learning architectures trained on vast amounts of natural language data, enabling them to perform an impressive range of linguistic tasks. We argue that, despite their clear semantic and pragmatic limitations, LLMs have already demonstrated that human-like grammatical language can be acquired without the need for a built-in grammar. Thus, while there is still much to learn about how humans acquire and use language, LLMs provide full-fledged computational models for cognitive scientists to empirically evaluate just how far statistical learning might take us in explaining the full complexity of human language. (shrink)

Some machine learning models, in particular deep neural networks (DNNs), are not very well understood; nevertheless, they are frequently used in science. Does this lack of understanding pose a problem for using DNNs to understand empirical phenomena? Emily Sullivan has recently argued that understanding with DNNs is not limited by our lack of understanding of DNNs themselves. In the present paper, we will argue, _contra_ Sullivan, that our current lack of understanding of DNNs does limit our ability to (...) understand with DNNs. Sullivan’s claim hinges on which notion of understanding is at play. If we employ a weak notion of understanding, then her claim is tenable, but rather weak. If, however, we employ a strong notion of understanding, particularly explanatory understanding, then her claim is not tenable. (shrink)

Unsupervised learning algorithms are widely used for many important statistical tasks with numerous applications in science and industry. Yet despite their prevalence, they have attracted remarkably little philosophical scrutiny to date. This stands in stark contrast to supervised and reinforcement learning algorithms, which have been widely studied and critically evaluated, often with an emphasis on ethical concerns. In this article, I analyze three canonical unsupervised learning problems: clustering, abstraction, and generative modeling. I argue that these methods (...) raise unique epistemological and ontological questions, providing data-driven tools for discovering natural kinds and distinguishing essence from contingency. This analysis goes some way toward filling the lacuna in contemporary philosophical discourse on unsupervised learning, as well as bringing conceptual unity to a heterogeneous field more often described by what it isnot(i.e., supervised or reinforcement learning) than by what itis. I submit that unsupervised learning is not just a legitimate subject of philosophical inquiry but perhaps the most fundamental branch of all AI. However, an uncritical overreliance on unsupervised methods poses major epistemic and ethical risks. I conclude by advocating for a pragmatic, error-statistical approach that embraces the opportunities and mitigates the challenges posed by this powerful class of algorithms. (shrink)

One of our great behavioral scientists, the bestselling author of Behave, plumbs the depths of the science and philosophy of decision-making to mount a devastating case against free will, an argument with profound consequences Robert Sapolsky's Behave, his now classic account of why humans do good and why they do bad, pointed toward an unsettling conclusion: We may not grasp the precise marriage of nature and nurture that creates the physics and chemistry at the base of human behavior, but (...) that doesn't mean it doesn't exist. Now, in Determined, Sapolsky takes his argument all the way, mounting a brilliant (and in his inimitable way, delightful) full-frontal assault on the pleasant fantasy that there is some separate self telling our biology what to do. Determined offers a marvelous synthesis of what we know about how consciousness works-the tight weave between reason and emotion and between stimulus and response in the moment and over a life. One by one, Sapolsky tackles all the major arguments for free will and takes them out, cutting a path through the thickets of chaos and complexity science and quantum physics, as well as touching ground on some of the wilder shores of philosophy. He shows us that the history of medicine is in no small part the history of learning that fewer and fewer things are somebody's "fault"; for example, for centuries we thought seizures were a sign of demonic possession. Yet, as he acknowledges, it's very hard, and at times impossible, to uncouple from our zeal to judge others and to judge ourselves. Sapolsky applies the new understanding of life beyond free will to some of our most essential questions around punishment, morality, and living well together. By the end, Sapolsky argues that while living our daily lives recognizing that we have no free will is going to be monumentally difficult, doing so is not going to result in anarchy, pointlessness, and existential malaise. Instead, it will make for a much more humane world. (shrink)

This paper illustrates cognitive modeling constructs designed to make learning by instruction more robust, including (1) flexible grounding of language to execution, (2) inference of implicit instruction knowledge, and (3) interactive clarification of instructions during both learning and execution.

Constructivism is one of the most influential theories in contemporary education and learning theory. It has had great influence in science education. The papers in this collection represent, arguably, the most sustained examination of the theoretical and philosophical foundations of constructivism yet published. Topics covered include: orthodox epistemology and the philosophical traditions of constructivism; the relationship of epistemology to learning theory; the connection between philosophy and pedagogy in constructivist practice; the difference between radical and social constructivism, and (...) an appraisal of their epistemology; the strengths and weaknesses of the Strong Programme in the sociology of science and implications for science education. The book contains an extensive bibliography. Contributors include philosophers of science, philosophers of education, science educators, and cognitive scientists. The book is noteworthy for bringing this diverse range of disciplines together in the examination of a central educational topic. (shrink)

The strength of democracy lies in its ability to self-correct, to solve problems and adapt to new challenges. However, increased volatility, resulting from multiple crises on multiple fronts – humanitarian, financial, and environmental – is testing this ability. By offering a new framework for democratic education, Teaching Democracy in an Age of Uncertainty begins a dialogue with education professionals towards the reconstruction of education and by extension our social, cultural and political institutions. -/- This book is the first monograph on (...) philosophy with children to focus on democratic education. The book examines the ways in which education can either perpetuate or disrupt harmful social and political practices and narratives at the classroom level. It is a rethinking of civics and citizenship education as place-responsive learning aimed at understanding and improving human-environment relations to not only face an uncertain world, but also to face the inevitable challenges of democratic disagreement beyond merely promoting pluralism, tolerance and agreement. -/- When viewed as a way of life democracy becomes both a goal and a teaching method for developing civic literacy to enable students to articulate and apprehend more than just the predominant political narrative, but to reshape it. This book will be of interest to scholars of philosophy, political science, education, democratic theory, civics and citizenship studies, and peace education research. (shrink)

Nicholas Maxwell's provocative and highly-original philosophy of science urges a revolution in academic inquiry affecting all branches of learning, so that the single-minded pursuit of knowledge is replaced with the aim of helping people realize what is of value in life and make progress toward a more civilized world. This volume of essays from an international, interdisciplinary group of scholars engages Maxwell in critical evaluation and celebrates his contribution to philosophy spanning forty years. Several of the contributors, like (...) Maxwell, took their inspiration from Sir Karl Popper’s philosophy of science and were connected to the department he created at the London School of Economics. In the introductory chapter, Maxwell provides an overview of his thought and then defends his views against objections in a concluding essay. -/- . (shrink)