Results for ' no-regret learning'

945 found
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  1. No-Regret Learning Supports Voters’ Competence.Petr Spelda, Vit Stritecky & John Symons - 2024 - Social Epistemology 38 (5):543-559.
    Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters’ competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance (...)
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  2. Regret Averse Opinion Aggregation.Lee Elkin - 2021 - Ergo: An Open Access Journal of Philosophy 8 (16):473-495.
    It is often suggested that when opinions differ among individuals in a group, the opinions should be aggregated to form a compromise. This paper compares two approaches to aggregating opinions, linear pooling and what I call opinion agglomeration. In evaluating both strategies, I propose a pragmatic criterion, No Regrets, entailing that an aggregation strategy should prevent groups from buying and selling bets on events at prices regretted by their members. I show that only opinion agglomeration is able to satisfy the (...)
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  3. Agent-regret and sporting glory.Jake Wojtowicz - 2019 - Journal of the Philosophy of Sport 46 (2):162-176.
    When sporting agents fail through wrongful or faulty behaviour, they should feel guilty; when they fail because of a deficiency in their abilities, they should feel shame. But sometimes we fail without being deficient and without being at fault. I illustrate this with two examples of players, Moacir Barbosa and Roberto Baggio, who failed in World Cup finals and cost their teams the greatest prize in sport. Although both players failed, I suggest that neither was at fault and neither was (...)
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  4. No Hugging, No Learning: The Limitations of Humour.Cochrane Tom - 2017 - British Journal of Aesthetics 57 (1):51-66.
    I claim that the significance of comic works to influence our attitudes is limited by the conditions under which we find things funny. I argue that we can only find something funny if we regard it as norm-violating in a way that doesn’t make certain cognitive or pragmatic demands upon us. It is compatible with these conditions that humour reinforces our attitude that something is norm-violating. However, it is not compatible with these conditions that, on the basis of finding it (...)
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  5. What We Regret Most Are Lost Opportunities: A Theory of Regret Intensity.Keith Markman, Denise Beike & Figen Karadogan - 2009 - Personality and Social Psychology Bulletin 35 (3):385-397.
    A recent theory (Roese & Summerville, 2005) has suggested that regret is intensified by perceptions of future opportunity. In this work, however, it is proposed that feelings of regret are more likely elicited by perceptions of lost opportunity: People regret outcomes that could have been changed in the past but can no longer be changed and for which people experience low psychological closure. Consistent with the lost opportunity principle, Study 1 revealed that regretted experiences in the most (...)
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  6. Perceptual learning and reasons‐responsiveness.Zoe Jenkin - 2022 - Noûs 57 (2):481-508.
    Perceptual experiences are not immediately responsive to reasons. You see a stick submerged in a glass of water as bent no matter how much you know about light refraction. Due to this isolation from reasons, perception is traditionally considered outside the scope of epistemic evaluability as justified or unjustified. Is perception really as independent from reasons as visual illusions make it out to be? I argue no, drawing on psychological evidence from perceptual learning. The flexibility of perceptual learning (...)
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  7. The Learning-Consciousness Connection.Jonathan Birch, Simona Ginsburg & Eva Jablonka - 2021 - Biology and Philosophy 36 (5):1-14.
    This is a response to the nine commentaries on our target article “Unlimited Associative Learning: A primer and some predictions”. Our responses are organized by theme rather than by author. We present a minimal functional architecture for Unlimited Associative Learning that aims to tie to together the list of capacities presented in the target article. We explain why we discount higher-order thought theories of consciousness. We respond to the criticism that we have overplayed the importance of learning (...)
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  8. Augustine on the Varieties of Understanding and Why There is No Learning from Words.Tamer Nawar - 2015 - Oxford Studies in Medieval Philosophy 3 (1):1-31.
    This paper examines Augustine’s views on language, learning, and testimony in De Magistro. It is often held that, in De Magistro, Augustine is especially concerned with explanatory understanding (a complex cognitive state characterized by its synoptic nature and awareness of explanatory relations) and that he thinks testimony is deficient in imparting explanatory understanding. I argue against this view and give a clear analysis of the different kinds of cognitive state Augustine is concerned with and a careful examination of his (...)
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  9. Modular Learning Efficiency: Learner’s Attitude and Performance Towards Self-Learning Modules.April Clarice C. Bacomo, Lucy P. Daculap, Mary Grace O. Ocampo, Crystalyn D. Paguia, Jupeth Pentang & Ronalyn M. Bautista - 2022 - IOER International Multidisciplinary Research Journal 4 (2):60-72.
    Learner’s attitude towards modular distance learning catches uncertainties as a world crisis occurs up to this point. As self-learning modules (SLMs) become a supplemental means of learning in new normal education, this study investigated efficiency towards the learners’ attitude and performance. Specifically, the study described the learners’ profile and their attitude and performance towards SLMs. It also ascertained the relationship between the learner’s profile with their attitude and performance, as well as the relationship between attitude and performance (...)
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  10. Learning from Conditionals.Benjamin Eva, Stephan Hartmann & Soroush Rafiee Rad - 2020 - Mind 129 (514):461-508.
    In this article, we address a major outstanding question of probabilistic Bayesian epistemology: how should a rational Bayesian agent update their beliefs upon learning an indicative conditional? A number of authors have recently contended that this question is fundamentally underdetermined by Bayesian norms, and hence that there is no single update procedure that rational agents are obliged to follow upon learning an indicative conditional. Here we resist this trend and argue that a core set of widely accepted Bayesian (...)
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  11. Absolutely No Free Lunches!Gordon Belot - forthcoming - Theoretical Computer Science.
    This paper is concerned with learners who aim to learn patterns in infinite binary sequences: shown longer and longer initial segments of a binary sequence, they either attempt to predict whether the next bit will be a 0 or will be a 1 or they issue forecast probabilities for these events. Several variants of this problem are considered. In each case, a no-free-lunch result of the following form is established: the problem of learning is a formidably difficult one, in (...)
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  12. Perceptual learning, the mere exposure effect and aesthetic antirealism.Bence Nanay - 2017 - Leonardo 50:58-63.
    It has been argued that some recent experimental findings about the mere exposure effect can be used to argue for aesthetic antirealism: the view that there is no fact of the matter about aesthetic value. The aim of this paper is to assess this argument and point out that this strategy, as it stands, does not work. But we may still be able to use experimental findings about the mere exposure effect in order to engage with the aesthetic realism/antirealism debate. (...)
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  13. Learning to Communicate: The Emergence of Signaling in Spatialized Arrays of Neural Nets.Patrick Grim, Trina Kokalis & Paul St Denis - 2003 - Adaptive Behavior 10:45-70.
    We work with a large spatialized array of individuals in an environment of drifting food sources and predators. The behavior of each individual is generated by its simple neural net; individuals are capable of making one of two sounds and are capable of responding to sounds from their immediate neighbors by opening their mouths or hiding. An individual whose mouth is open in the presence of food is “fed” and gains points; an individual who fails to hide when a predator (...)
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  14. (1 other version)Kizel, A. (2016). “Pedagogy out of Fear of Philosophy as a Way of Pathologizing Children”. Journal of Unschooling and Alternative Learning, Vol. 10, No. 20, pp. 28 – 47.Kizel Arie - 2016 - Journal of Unschooling and Alternative Learning 10 (20):28 – 47.
    The article conceptualizes the term Pedagogy of Fear as the master narrative of educational systems around the world. Pedagogy of Fear stunts the active and vital educational growth of the young person, making him/her passive and dependent upon external disciplinary sources. It is motivated by fear that prevents young students—as well as teachers—from dealing with the great existential questions that relate to the essence of human beings. One of the techniques of the Pedagogy of Fear is the internalization of the (...)
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  15. Effectiveness of the Alternative Learning System Informal Education Project and the Transfer of Life Skills among ALS Teachers: A Case Study.Manuel Caingcoy, Juliet Pacursa & Ma Isidora Adajar - 2021 - International Journal of Community Service and Engagement 2 (3):88-98.
    Alternative Learning System (ALS) has been adopted in Philippine basic education, yet there is no academic institution in the region prepares ALS teachers in teaching life skills. ALS teachers graduated from different programs of teacher education for formal education. In response, an extension project was conceptualized and implemented to enhance the teaching capacity and effectiveness of ALS teachers. Case study was conducted to evaluate the effectiveness of the project. It explored the transfer of life skills among ALS teachers. Data (...)
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  16. Logical ignorance and logical learning.Richard Pettigrew - 2020 - Synthese 198 (10):9991-10020.
    According to certain normative theories in epistemology, rationality requires us to be logically omniscient. Yet this prescription clashes with our ordinary judgments of rationality. How should we resolve this tension? In this paper, I focus particularly on the logical omniscience requirement in Bayesian epistemology. Building on a key insight by Hacking :311–325, 1967), I develop a version of Bayesianism that permits logical ignorance. This includes: an account of the synchronic norms that govern a logically ignorant individual at any given time; (...)
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  17. Using Deep Learning to Classify Corn Diseases.Mohanad H. Al-Qadi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems (Ijaisr) 8 (4):81-88.
    Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...)
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  18. Cantaloupe Classifications using Deep Learning.Basel El-Habil & Samy S. Abu-Naser - 2021 - International Journal of Academic Engineering Research (IJAER) 5 (12):7-17.
    Abstract cantaloupe and honeydew melons are part of the muskmelon family, which originated in the Middle East. When picking either cantaloupe or honeydew melons to eat, you should choose a firm fruit that is heavy for its size, with no obvious signs of bruising. They can be stored at room temperature until you cut them, after which they should be kept in the refrigerator in an airtight container for up to five days. You should always wash and scrub the rind (...)
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  19. Learning from the Radical Behavioral Challenge.Hasko von Kriegstein - 2024 - Business Ethics Journal Review 11 (2):8-14.
    I (mostly) accept Ancell’s argument that my proposal for dealing with the radical behavioral challenge entails what he calls ‘the excessive recusal problem’. I argue that this is no reason to reject my proposal, but rather an opportunity for further reflection on what behavioral and normative ethicists can learn from each other. I make some suggestions for future lines of inquiry for both fields.
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  20. Information, learning and falsification.David Balduzzi - 2011
    There are (at least) three approaches to quantifying information. The first, algorithmic information or Kolmogorov complexity, takes events as strings and, given a universal Turing machine, quantifies the information content of a string as the length of the shortest program producing it [1]. The second, Shannon information, takes events as belonging to ensembles and quantifies the information resulting from observing the given event in terms of the number of alternate events that have been ruled out [2]. The third, statistical (...) theory, has introduced measures of capacity that control (in part) the expected risk of classifiers [3]. These capacities quantify the expectations regarding future data that learning algorithms embed into classifiers. Solomonoff and Hutter have applied algorithmic information to prove remarkable results on universal induction. Shannon information provides the mathematical foundation for communication and coding theory. However, both approaches have shortcomings. Algorithmic information is not computable, severely limiting its practical usefulness. Shannon information refers to ensembles rather than actual events: it makes no sense to compute the Shannon information of a single string – or rather, there are many answers to this question depending on how a related ensemble is constructed. Although there are asymptotic results linking algorithmic and Shannon information, it is unsatisfying that there is such a large gap – a difference in kind – between the two measures. This note describes a new method of quantifying information, effective information, that links algorithmic information to Shannon information, and also links both to capacities arising in statistical learning theory [4, 5]. After introducing the measure, we show that it provides a non-universal analog of Kolmogorov complexity. We then apply it to derive basic capacities in statistical learning theory: empirical VC-entropy and empirical Rademacher complexity. A nice byproduct of our approach is an interpretation of the explanatory power of a learning algorithm in terms of the number of hypotheses it falsifies [6], counted in two different ways for the two capacities. We also discuss how effective information relates to information gain, Shannon and mutual information. (shrink)
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    Learning processes and repercussions from handicrafts for social and popular education.Fanny Monserrate Tubay-Zambrano & Alex Estrada-García - 2024 - Sophia. Colección de Filosofía de la Educación 37 (37):311-333.
    La investigación incorpora las experiencias de un grupo de personas artesanas de las provincias de Azuayy Cañar, en Ecuador. Tiene como objetivo reflexionar, desde un enfoque pedagógico centrado en la educaciónsocial y popular, sobre las prácticas profesionales de los colectivos artesanales y su relación con los procesosescolarizados de enseñanza y aprendizaje. El estudio aplica la metodología cualitativa con enfoque etnográfico.Los resultados no solo visibilizan que los espacios que ocupa el artesanado en el imaginario social están marcadospor bloqueos y restricciones en (...)
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  22. Beyond Human: Deep Learning, Explainability and Representation.M. Beatrice Fazi - 2021 - Theory, Culture and Society 38 (7-8):55-77.
    This article addresses computational procedures that are no longer constrained by human modes of representation and considers how these procedures could be philosophically understood in terms of ‘algorithmic thought’. Research in deep learning is its case study. This artificial intelligence (AI) technique operates in computational ways that are often opaque. Such a black-box character demands rethinking the abstractive operations of deep learning. The article does so by entering debates about explainability in AI and assessing how technoscience and technoculture (...)
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  23. Learning not to be Naïve: A comment on the exchange between Perrine/Wykstra and Draper.Lara Buchak - 2014 - In Justin McBrayer Trent Dougherty (ed.), Skeptical Theism: New Essays. Oxford University Press.
    Does postulating skeptical theism undermine the claim that evil strongly confirms atheism over theism? According to Perrine and Wykstra, it does undermine the claim, because evil is no more likely on atheism than on skeptical theism. According to Draper, it does not undermine the claim, because evil is much more likely on atheism than on theism in general. I show that the probability facts alone do not resolve their disagreement, which ultimately rests on which updating procedure – conditionalizing or updating (...)
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  24. What can we learn about romantic love from Harry Frankfurt’s account of love?Natasha Chloe McKeever - 2019 - Journal of Ethics and Social Philosophy 14 (3).
    Harry Frankfurt has a comprehensive and, at times, compelling, account of love, which are outlined in several of his works. However, he does not think that romantic love fits the ideal of love as it ‘includes a number of vividly distracting elements, which do not belong to the essential nature of love as a mode of disinterested concern’. In this paper, I argue that we can, nonetheless, learn some important things about romantic love from his account. Furthermore, I will suggest, (...)
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  25. Student Privacy in Learning Analytics: An Information Ethics Perspective.Alan Rubel & Kyle M. L. Jones - 2016 - The Information Society 32 (2):143-159.
    In recent years, educational institutions have started using the tools of commercial data analytics in higher education. By gathering information about students as they navigate campus information systems, learning analytics “uses analytic techniques to help target instructional, curricular, and support resources” to examine student learning behaviors and change students’ learning environments. As a result, the information educators and educational institutions have at their disposal is no longer demarcated by course content and assessments, and old boundaries between information (...)
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  26. The Acceptability of Online Learning Action Cell Session Practice to Tagumpay National High School Teachers.Ann Michelle S. Medina, Mari Cris O. Lim & Aldren E. Camposagrado - 2023 - Universal Journal of Educational Research 2 (2):99-109.
    This quantitative study explores the acceptability of Online Learning Action Cell (LAC) practice as a school-based professional development strategy for Tagumpay National High School (TNHS) teachers. The research was motivated by the Department of Education (DepEd) Order No. 35 s. 2016 which prompts public schools to comply with the implementation of LAC sessions because it has a positive impact on teachers’ beliefs and practices resulting in education reforms for learners’ benefit. However, in compliance with DepEd’s policy on maximizing Time-On-Task (...)
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  27. Learning and Teaching in Uncertain Times: A Nietzschean Approach in Professional Higher Education.Henriëtta Joosten - 2013 - Journal of Philosophy of Education 47 (4):548-563.
    Today professionals have to deal with more uncertainties in their field than before. We live in complex and rapidly changing environments. The British philosopher Ronald Barnett adds the term ‘supercomplexity’ to highlight the fact that ‘we can no longer be sure how even to describe the world that faces us’ (Barnett, 2004). Uncertainty is, nevertheless, not a highly appreciated notion. An obvious response to uncertainty is to reduce it—or even better, to wipe it away. The assumption of this approach is (...)
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  28. Against No-Ātman Theories of Anattā.Miri Albahari - 2002 - Asian Philosophy 12 (1):5-20.
    Suppose we were to randomly pick out a book on Buddhism or Eastern Philosophy and turn to the section on 'no-self' (anatt?). On this central teaching, we would most likely learn that the Buddha rejected the Upanisadic notion of Self (?tman), maintaining that a person is no more than a bundle of impermanent, conditioned psycho-physical aggregates (khandhas). The rejection of ?tman is seen by many to separate the metaphysically 'extravagant' claims of Hinduism from the austere tenets of Buddhism. The status (...)
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  29. Multisensory Perception as an Associative Learning Process.Kevin Connolly - 2014 - Frontiers in Psychology 5:1095.
    Suppose that you are at a live jazz show. The drummer begins a solo. You see the cymbal jolt and you hear the clang. But in addition seeing the cymbal jolt and hearing the clang, you are also aware that the jolt and the clang are part of the same event. Casey O’Callaghan (forthcoming) calls this awareness “intermodal feature binding awareness.” Psychologists have long assumed that multimodal perceptions such as this one are the result of a subpersonal feature binding mechanism (...)
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  30. No Blame No Gain? From a No Blame Culture to a Responsibility Culture in Medicine.Joshua Parker & Ben Davies - 2020 - Journal of Applied Philosophy 37 (4):646-660.
    Healthcare systems need to consider not only how to prevent error, but how to respond to errors when they occur. In the United Kingdom’s National Health Service, one strand of this latter response is the ‘No Blame Culture’, which draws attention from individuals and towards systems in the process of understanding an error. Defences of the No Blame Culture typically fail to distinguish between blaming someone and holding them responsible. This article argues for a ‘responsibility culture’, where healthcare professionals are (...)
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  31. Can motto-goals outperform learning and performance goals? Influence of goal setting on performance and affect in a complex problem solving task.Miriam Sophia Rohe, Joachim Funke, Maja Storch & Julia Weber - 2016 - Journal of Dynamic Decision Making 2 (1):1-15.
    In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties. Goal Setting Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do-your-best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so-called motto-goals should activate a person’s resources through positive affect. It (...)
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  32. The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI.Samuel Allen Alexander - 2020 - Journal of Artificial General Intelligence 11 (1):70-85.
    After generalizing the Archimedean property of real numbers in such a way as to make it adaptable to non-numeric structures, we demonstrate that the real numbers cannot be used to accurately measure non-Archimedean structures. We argue that, since an agent with Artificial General Intelligence (AGI) should have no problem engaging in tasks that inherently involve non-Archimedean rewards, and since traditional reinforcement learning rewards are real numbers, therefore traditional reinforcement learning probably will not lead to AGI. We indicate two (...)
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  33. Paradoxical Education: Learning to Unlearn What We Think We Have Learned.Zachary Isrow - 2021 - World Journal of Education and Humanities 3 (3):57-65.
    There is no shortage of pedagogical theories from the tradition formal methods of instruction to the free-play methods of unschooling. A sharp shift in education and instruction models took place with the introduction of critical pedagogy. The focus was no longer on the authority of the teacher and the submissive, passive approach taken by the learner, but rather on the engagement between the two. Still, even when critical pedagogy is utilized in a formal model of education something is missing from (...)
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  34. INVESTIGATING STUDENTS ATTITUDE IN LEARNING ENGLISH LANGUAGE VOCABULARY: THE CASE OF ENGINEERING STUDENTS IN TECHNOLOGICAL UNIVERSITY OF THE PHILIPPINES.Cynic J. Tenedero & Alfredo D. Trinidad - 2023 - Get International Research Journal 1 (2):132–141.
    This study focused on determining the attitudes and academic performance of engineering students in Technological University of the Philippines-Manila. A total of 139 male engineering and 47 female engineering students were the respondents of the study. This only dwell on the attitude in learning English Language Vocabulary in terms of their behavioral aspects, cognitive aspects, and emotional aspects. This is a quantitative study utilized by descriptive and inferential method as the research design. Based on the findings, academic grades strongly (...)
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  35. Effectiveness of Brain-Based Learning Toward Improving Students’ Conceptual Understanding: A Meta-Analysis (17th edition).Aaron Funa, Jhonner Ricafort, Frances Grace Jetomo & Nestor Lasala - 2024 - International Journal of Instruction 7 (1):361-380.
    This study explores the effectiveness of brain-based learning (BBL) as a pedagogical approach to address the challenges of poor conceptual understanding, which may have worsened due to the COVID-19 pandemic aftermath. In this meta- analysis, 14 studies qualified using the Publish or Perish software and the Preferred Reporting Items for Systematic Reviews and Meta-analyses. Statistical analysis conducted using Comprehensive Meta-Analysis (CMA) Version 4 software by Biostat, Inc. Based on the results, the overall effect size (ES = 3.135) indicates that (...)
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  36. The Compromised Most Essential Learning Competencies: A Qualitative Inquiry.Belen C. Gabriel, Julios D. Nepomuceno, Mary Hope Kadusale, Jingoy D. Taneo & Cyril A. Cabello - 2022 - Psychology and Education: A Multidisciplinary Journal 5 (1):1-10.
    The recent health crisis experienced by all nations in the world created detrimental change in the countenance of educational sector especially in the new mode of delivering the instructions as measure in containing the virus and as well as continuing education. In the works of literature, little to no attention was given to the formulation of the most essential learning competencies (MELCs) as strategic measure for modular learning. This paves the way to probe the lived experiences of the (...)
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  37. No computer program required: Even pencil-and-paper argument mapping improves critical thinking skills.Mara Harrell - 2008 - Teaching Philosophy 31 (4):351-374.
    Argument-mapping software abounds, and one of the reasons is that using the software has been shown to teach/promote/improve critical thinking skills. These positive results are very encouraging, but they also raise the question of whether the computer tutorial environment is producing these results, or whether learning argument mapping, even with just paper and pencil, is sufficient. Based on the results of two empirical studies, I argue that the basic skill of being able to represent an argument diagrammatically plays an (...)
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  38. Real Attribute Learning Algorithm.Julio Michael Stern, Marcelo de Souza Lauretto, Fabio Nakano & Celma de Oliveira Ribeiro - 1998 - ISAS-SCI’98 2:315-321.
    This paper presents REAL, a Real-Valued Attribute Classification Tree Learning Algorithm. Several of the algorithm's unique features are explained by úe users' demands for a decision support tool to be used for evaluating financial operations strategies. Compared to competing algorithms, in our applications, REAL presents maj or advantages : (1) The REAL classification trees usually have smaller error rates. (2) A single conviction (or trust) measure at each leaf is more convenient than the traditional (probability, confidence-level) pair. (3) No (...)
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  39. Scientism, Philosophy and Brain-Based Learning.Gregory M. Nixon - 2013 - Northwest Journal of Teacher Education 11 (1):113-144.
    [This is an edited and improved version of "You Are Not Your Brain: Against 'Teaching to the Brain'" previously published in *Review of Higher Education and Self-Learning* 5(15), Summer 2012.] Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell (...)
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  40. There is no general AI.Jobst Landgrebe & Barry Smith - 2020 - arXiv.
    The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...)
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  41. Marxism as a Learning Process: The Epistemic Rationality of Precedential Reasoning.Stephen D'Arcy - manuscript
    My aim in this paper is fairly modest. I obviously do not claim that there has never been or could never be an instance of irrational or fallacious appeals to quotations from canonical sources in the marxist tradition. Instead, I claim that the practice of using quotations from canonical sources is not, as such, irrational. If we understand the epistemological infrastructure of the practice -- the rational underpinnings of it -- we can grasp how these citations appeal to the presumptive (...)
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  42. Why there are still no people.Jim Stone - 2005 - Philosophy and Phenomenological Research 70 (1):174-192.
    This paper will argue that there are no people. Let me summarize the argument. In part II of what follows, I argue that if identity isn't what matters in survival, psychological connectedness isn't what matters either. Psychological connectedness, according to Derek Parfit, is the 'holding of particular direct psychological connections,' for example, when a belief, a desire, or some other psychological feature continues to be had ; psychological connectedness consists in two other relations—resemblance plus a cause that produces it. For (...)
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  43. What We Can Learn about Phenomenal Concepts from Wittgenstein’s Private Language.de Sá Pereira Roberto Horácio - 2016 - Nordic Wittgenstein Review 5 (2):125-152.
    This paper is both systematic and historical in nature. From a historical viewpoint, I aim to show that to establish Wittgenstein’s claim that “an ‘inner process’ stands in need of outward criteria” (PI §580) there is an enthymeme in Wittgenstein’s private language argument (henceforth PLA) overlooked in the literature, namely Wittgenstein’s suggestion that both perceptual and bodily experiences are transparent in the relevant sense that one cannot point to a mental state and wonder “What is that?” From a systematic viewpoint, (...)
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  44. Reflective or Diffractive Learning/Teaching? Concurrences of Paul Ramsden And Karen Barad’s Approaches.Karolina Rybačiauskaitė - 2020 - Acta Paedagogica Vilnensia 45:175-183.
    In this article it is argued that the optical metaphor and critical practice of diffraction further developed by Donna Haraway and Karen Barad might be no less significant than the widely spread notion of reflection, when the questions of various practices of knowledge are addressed. By considering Paul Ramsden’s approach to learning/teaching and its underlying theory in higher education alongside Karen Barad’s methodology of diffraction, it is shown that Ramsden’s understanding of learning/teaching is rather based on the theoretical (...)
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  45. Reframing Remote Learning Assessment Practices Of Teachers': Input For School Based Testing Reforms.Resty C. Samosa - 2022 - International Journal of Academic Pedagogical Research (IJAPR) 6 (1):4-20.
    Due to the unprecedented COVID-19 incident, basic education institutions have faced different challenges in their teaching-learning activities. Particularly conducting assessments remotely during COVID-19 has posed extraordinary challenges for basic education institutions owing to lack of preparation superimposed with the inherent problems of remote assessment. Descriptive-evaluation research was employed since the present study attempts to examines the assessment practices and competences on remote learning assessment of teachers in Graceville National High School. For the study, questionnaires were prepared and data (...)
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  46. Information and Communication Technology in Elementary Schools: A Comparison Between Hybrid and Face-to-Face Learning Systems.Wisnu Zakaria, Turmudi Turmudi & Jupeth Pentang - 2022 - Profesi Pendidikan Dasar 9 (1):46-54.
    At the beginning of 2020, the world was experiencing the Covid-19 pandemic, and Indonesia was no exception. The occurrence of this affects the learning system in Indonesia, the learning system that was originally face-to-face was forced to online form, in this case the teachers are required to provide a creative, efficient and optimal learning system for students. So the purpose of this study is to find out the difference in the average learning result of elementary school (...)
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  47. From blended learning to learning onlife : ICTs, time and access in higher education.Anders Norberg - unknown
    Information and Communication Technologies, ICTs, has now for decades being increasingly taken into use for higher education, enabling distance learning, e-learning and online learning, mainly in parallel to mainstream educational practise. The concept Blended learning (BL) aims at the integration of ICTs with these existing educational practices. The term is frequently used, but there is no agreed-upon definition. The general aim of this dissertation is to identify new possible perspectives on ICTs and access to higher education, (...)
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  48. Thought Experiments & Literary Learning.McComb Geordie - 2020 - Dissertation, University of Toronto, St. George Campus
    In my dissertation, I develop a novel approach to thought experiments and literary learning. It’s novel primarily because, unlike many prominent approaches, it has us refrain from advancing theories, from giving logical analyses, and from explicating. We are, instead, to proceed in a way inspired by Wittgenstein’s writings. We are, that is, to clarify words that give rise to problems and to clear those problems away. To clarify words, we may compare language games in which figure terms like “thought (...)
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  49. No need to get up from the armchair.Dan Baras - 2020 - Ethical Theory and Moral Practice 23 (3):575-590.
    Several authors believe that metaethicists ought to leave their comfortable armchairs and engage with serious empirical research. This paper provides partial support for the opposing view, that metaethics is rightly conducted from the armchair. It does so by focusing on debunking arguments against robust moral realism. Specifically, the article discusses arguments based on the possibility that if robust realism is correct, then our beliefs are most likely insensitive to the relevant truths. These arguments seem at first glance to be dependent (...)
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  50. Enabling children to learn from religions whilst respecting their rights: against monopolies of influence.Anca Gheaus - 2024 - Journal of Philosophy of Education 58 (1):120-127.
    John Tillson argues, on grounds of children’s well-being, that it is impermissible to teach them religious views. I defend a practice of pluralistically advocating religious views to children. As long as there are no monopolies of influence over children, and as long as advocates do not use coercion, deceit, or manipulation, children can greatly benefit without having their rational abilities subverted, or incurring undue risk to form false beliefs. This solution should counter, to some extent, both perfectionist and antiperfectionist reasons (...)
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