In this essay I argue that theorists such as Kohn and Mitra have been too hasty in pronouncing the superiority of problem-based learning over direct instruction.

This study focused on designing a management approach for social studies instruction that incorporates problem-based learning alongside community-based learning. Additionally, examine the outcomes of instructing social studies through the integration of problem-based learning alongside community-based learning. This study employs an experimental design featuring a one-group pretest-posttest approach, involving students from five small schools located in the Hat Yai District, under the jurisdiction of the Office of the Primary Educational Service Area of Songkhla, Area 2. (...) During the initial semester of the 2024 academic year, a total of 89 individuals were examined. The instruments utilized in the study included a teaching plan for social studies that incorporated problem-based learning alongside community-based learning, as well as an assessment form for 21st-century learner skills. Assessment of the Social Studies Achievement Test and the evaluation form regarding student satisfaction with instructional methods, utilizing the specified model, among other considerations. The analysis of the data involved the application of fundamental statistical methods, specifically percentage, mean, and standard deviation. The findings indicated that social studies instruction was structured through the integration of problem-based learning alongside community-based learning. Comprising four learning management plans, one six-week period, totaling 16 hours, the learning management process unfolds in five steps: Step 1: Addressing social studies scenarios, Step 2: Incorporating Concepts from Social Studies, Step 3: Creation of social studies project, Step 4: Sharing findings from social studies research, and Step 5: Finalizing the Social Studies Audit. The findings from the implementation of problem-based learning alongside community-based learning in social studies revealed that learners are developing essential skills for the 21st century. The post-test scores of the students showed a significant increase compared to their pre-test scores, achieving a statistical significance level of .01. Additionally, the students' social studies achievement after their study period was notably higher than their performance prior to studying, also at the .01 level. The findings from the investigation into students' satisfaction with the teaching and learning process revealed that the students reported the highest overall satisfaction (M = 4.58, SD = 0.24). (shrink)

Preparing students for the real challenges in life is one of the most important goals in education. Constructivism is an approach that uses real-life experiences to construct knowledge. Problem-Based Learning (PBL), for almost five decades now, has been the most innovative constructivist pedagogy used worldwide. However, with the rising popularity, there is a need to revisit empirical studies regarding PBL to serve as a guide and basis for designing new studies, making institutional policies, and evaluating educational curricula. This (...) need has led the researchers to do a meta-analysis to analyse the effectiveness of PBL on secondary students’ achievement in different scientific disciplines. Following the set of inclusion and exclusion criteria, 11 studies in Eurasia, Africa, and America conducted from 2016 to 2020 have qualified for this study. Six of which focused on JHS (n = 1047) and five on SHS (n = 375). Studies were obtained from various meta-search engines including Google, ERIC, and JSTOR. Further, the researchers used Harzing’s Publish and Perish software to exhaust the search process. Sample size, mean, and standard deviation were analysed using the Comprehensive MetaAnalysis version 3 to determine the effect sizes (Hedge’s g) and the results of moderator analysis, forest plot, funnel plot, and Begg-Mazumdar test. Findings have shown that PBL, as an approach to teaching science, had a large and positive effect (ES = .871) on the achievement of secondary students. However, grade levels and various scientific disciplines did not influence students’ learning achievement. The conduct of more studies on the different factors affecting PBL implementation and specific effects of PBL on various student domains is recommended to facilitate comparative educational research in the future. (shrink)

In classroom sessions, various student-centered learning approaches, such as collaborative and problem-based learning, are used. Today, incorporating Information and Communication Technologies (ICT) into nursing education promotes self-directed and personalized learning among students.

The investigation of the degree of amotivation and subsequent intervention towards the motivation of undergraduate vocational and technical education (VTE) students has not received the same amount of attention as other disciplines. Despite the negative impact of a lack of volitional drive on students' practical skills learning, there is scarcity of literature on amotivation among VTE undergraduate students. This study aimed to demonstrate the effectiveness of problem-based learning (PBL) in transitioning undergraduate students from a state of being amotivated (...) to motivated. The study utilized a quasi-experimental research design and selected 168 students in their penultimate and final years majoring in agricultural education, business education, computer education, home economics, and industrial technical education who met the study's inclusion criteria. The intervention consisted of eight weeks of treatment and four weeks of follow-up meetings. An existing academic motivation scale was adapted for use, and data was collected through a self-report questionnaire. Data analysis was conducted using independent sample t-tests, and paired sample t-tests. The findings revealed that the level of amotivation among the students was high, and PBL had a significant impact on transitioning VTE students from being amotivated to motivated in the treatment group compared to those in the control group. Furthermore, the positive gains were maintained by the treatment group at follow-up. The study suggests that a PBL program can effectively address students' lack of volitional drive to engage in academic activities among undergraduate students majoring in agricultural education, business education, computer education, home economics, and industrial technical in Nigeria. (shrink)

Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise in (...) the normal course of an engineer’s professional career. In the most recent iteration of the course, I used the Engineering and Science Issues Test as a pretest and posttest to test the development of my students’ moral reasoning skills over the course of the semester. Based on the results of these tests, I argue that the students in my Engineering Ethics course did in fact significantly develop their moral reasoning skills. (shrink)

Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise in (...) the normal course of an engineer’s professional career. In the most recent iteration of the course, I used the Engineering and Science Issues Test as a pretest and posttest to test the development of my students’ moral reasoning skills over the course of the semester. Based on the results of these tests, I argue that the students in my Engineering Ethics course did in fact significantly develop their moral reasoning skills. (shrink)

This research focused on creating an instructional model for social studies that combines problem-based learning with community-based learning to enhance 21st-century skills in students attending small schools. The study analyzed the effects of implementing this integrated instructional model on developing skills within the target student group. The results indicated the following points: The teaching model combines problem-solving and community involvement and has four main parts: (1) learning actively and on your own; (2) hands-on experiences connected to (...) civic duty, culture, and social life; (3) working together to share ideas; and (4) using what you've learned in real-life situations outside of school. The model consists of a five-step instructional process: (1) encountering a social studies situation, (2) integrating social studies thinking, (3) producing social studies work, (4) disseminating social studies outcomes, and (5) consolidating reflective social studies evaluation. The experimental group showed a much better improvement in 21st-century skills after the intervention compared to the control group, with results that are statistically significant at the .05 level. The experimental group demonstrated significantly greater academic achievement in social studies compared to the control group at the .05 level. The overall satisfaction of students was at its highest level with the social studies instructional model that integrates problem-based and community-based learning. (shrink)

There is an increase in the use of in-door wireless networking solutions via Wi-Fi and this increase infiltrated and utilized Wi-Fi enable devices, as well as smart mobiles, games consoles, security systems, tablet PCs and smart TVs. Thus the demand on Wi-Fi connections increased rapidly. Rule Based System is an essential method in helping using the human expertise in many challenging fields. In this paper, a Rule Based System was designed and developed for diagnosing the wireless connection problems (...) and attain a precise decision about the cause of the problem. SL5 Object expert system language was used in developing the rule based system. An Evaluation of the rule based system was carried out to test its accuracy and the results were promising. (shrink)

Social commentary is the act of using rhetorical means to provide commentary on social, cultural, political, or economic issues in a society. This is often done with the idea of implementing or promoting change by informing the general populace about a given problem and appealing to people's sense of justice. Social commentary can be practiced through all forms of communication, from printed form, to conversations to computerized communication.

The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve the multiple attribute decision making problems in which the attribute value takes the form of the interval neutrosophic uncertain linguistic variables and attribute weight (...) is unknown. Firstly, the operational rules and properties for the interval neutrosophic variables are introduced. Then the distance between two interval neutrosophic uncertain linguistic variables is proposed and the attribute weight is calculated by the maximizing deviation method, and the closeness coefficients to the ideal solution for each alternatives. Finally, an illustrative example is given to illustrate the decision making steps and the effectiveness of the proposed method. (shrink)

It has been argued that our currently most satisfactory social epistemology of science can’t account for science that is based on artificial intelligence (AI) because this social epistemology requires trust between scientists that can take full responsibility for the research tools they use, and scientists can’t take full responsibility for the AI tools they use since these systems are epistemically opaque. I think this argument overlooks that much AI-based science can be done without opaque models, and that agents (...) can take full responsibility for the systems they use even if these systems are opaque. Requiring that an agent fully understand how a system works is an untenably strong condition for that agent to take full responsibility for the system and risks absolving AI developers from responsibility for their products. AI-based science need not create trust-related social epistemological problems if we keep in mind that what makes both individual scientists and their use of AI systems trustworthy isn’t full transparency of the internal processing but their adherence to social and institutional norms that ensure that scientific claims can be trusted. (shrink)

In this paper, I identify a central problem for conceptual engineering: the problem of showing concept-users why they should recognise the authority of the concepts advocated by engineers. I argue that this authority problem cannot generally be solved by appealing to the increased precision, consistency, or other theoretical virtues of engineered concepts. Outside contexts in which we anyway already aim to realise theoretical virtues, solving the authority problem requires engineering to take a functional turn and attend (...) to the functions of concepts. But this then presents us with the problem of how to specify a concept’s function. I argue that extant solutions to this function specification problem are unsatisfactory for engineering purposes, because the functions they identify fail to reliably bestow authority on concepts, and hence fail to solve the authority problem. What is required is an authoritative notion of conceptual function: an account of the functions of concepts which simultaneously shows why concepts fulfilling such functions should be recognised as having authority. I offer an account that meets this combination of demands by specifying the functions of concepts in terms of how they tie in with our present concerns. (shrink)

Many of us agree that we ought not to wrong future people, but there remains disagreement about which of our actions can wrong them. Can we wrong individuals whose lives are worth living by taking actions that result in their very existence? The problem of justifying an answer to this question has come to be known as the non-identity problem.[1] While the literature contains an array of strategies for solving the problem,[2] in this paper I will take (...) what I call the harm-based approach, and I will defend an account of harming—which I call the existence account of harming—that can vindicate this approach. -/- Roughly put, the harm-based approach holds that, by acting in ways that result in the existence of individuals whose lives are worth living, we can harm and thereby wrong those individuals. An initially plausible way to try to justify this approach is to endorse the non-comparative account of harming, which holds that an event harms an individual just in case it causes her to be in a bad state, such that the state’s badness does not derive from a comparison between that state and some alternative state that the individual would or could have been in. However, many philosophers argue that the non-comparative account of harming is inadequate,[3] and one might be tempted to infer from this that any harm-based approach to the non-identity problem will fail. My proposal, which I call the existence account of harming, will show that this inference is faulty: we can vindicate the harm-based approach without relying on the non-comparative account of harming. (shrink)

The base texts of most of the philosophical systems of ancient India are in the form of a collection of aphorisms (sūtra-s). The aphorisms are so brief and tersely worded that their significance can seldom be understood without the help of a commentary or commentaries. Sometimes, the literal meaning of an aphorism needs to be qualified or modified by an explanation found in the commentary. If a reader relies exclusively on the literal meaning of the aphorisms in the base text (...) without having recourse to any commentary or disregards all commentaries, he or she may miss the point. Contrariwise, if a reader relies exclusively on a commentary and disregards the literal meaning of an aphorism, he or she will commit another kind of blunder. Ideally, equal attention should be paid to the base text as well as the commentary or commentaries. Even then, all problems are not automatically solved, for it is an uphill task to decide when to go by the literal meaning of the aphorisms and when to follow the commentary. In their polemics against the Cārvāka/Lokāyata, Jayantabhaṭṭa (c. ninth century C.E.) and Hemacandra (eleventh century C.E.) erred because they did not follow the golden rule stated above and consequently misunderstood and misrepresented their opponents’ contentions. (shrink)

In their target article, Mikhalevich & Powell (M&P) argue that we should extend moral protection to arthropods. In this commentary, we show that there are some unforeseen obstacles to applying the sort of individualistic welfare-based ethics that M&P have in mind to certain arthropods, namely, insects. These obstacles have to do with the fact that there are often many more individuals involved in our dealings with insects than our ethical theories anticipate, and also with the fact that, in some (...) sense, some insects count as more than an individual and, in another sense, they sometimes count as less than an individual. (shrink)

This essay argues that certain cases involving what I shall term complexly based belief, where a belief is formed via complex inference to the best explanation, pose a serious difficulty for reliabilist theories of epistemic justification or warrant. Many of our most important beliefs appear to be of this character. The problem, in short, is that in such cases we cannot identify any belief-forming process type that is such as to yield an intuitively correct verdict on the epistemic (...) status of the agent’s belief. If this is correct, then no proposed solution to the generality problem can succeed. (shrink)

Abstract: background: Dental and oral health is an essential part of your overall health and well-being. Poor oral hygiene can lead to dental cavities and gum disease, and has also been linked to heart disease, cancer, and diabetes. Maintaining healthy teeth and gums is a lifelong commitment. The earlier you learn proper oral hygiene habits — such as brushing, flossing, and limiting your sugar intake — the easier it’ll be to avoid costly dental procedures and long-term health issues. (Healthline, n.d.) (...) Objectives The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment by presenting suggestions on Tooth Problems to the user by asking about symptoms. (shrink)

Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of performance values of the (...) alternatives with respect to the attributes are expressed in terms of bipolar neutrosophic values. We calculate projection, bidirectional projection, and hybrid projection measures between each alternative and ideal alternative with bipolar neutrosophic information. All the alternatives are ranked to identify the best alternative. Finally, a numerical example is provided to demonstrate the applicability and effectiveness of the developed methods. Comparison analysis with the existing methods in the literature in bipolar neutrosophic environment is also performed. (shrink)

According to Cian Dorr, non-cognitivism has the implausible implication that arguments like the following are cases of wishful thinking: If lying is wrong, then the souls of liars will be punished in the afterlife; lying is wrong; therefore, the souls of liars will be punished in the afterlife. Dorr further claims that if non-cognitivism implies that the above argument and similar arguments are cases of wishful thinking, then non-cognitivism remains implausible even if one solves the so-called Frege-Geach problem. Dorr’s (...) claims have faced a number of objections, but I believe that Dorr is on to something. So, after summarizing Dorr’s argument and briefly describing three flaws in what Dorr claims, I shall present a distinct objection to non-cognitivism and use the preceding to show what Dorr’s argument gets right and what it gets wrong. (shrink)

The problem of demarcating between what is scientific and what is pseudoscientific or merely unscientific - in other words, the problem of defining scientificity - remains open. The modern debate was firstly structured around Karl Popper's falsificationist epistemology from the 1930's, before diversifying a few decades later. His central idea is that what makes something scientific is not so much how adequate it is with data, but rather to what extent it might not have been so. Since the (...) second half of the century, and in the wake of criticisms, such as the Duhem-Quine thesis, that were raised against falsificationism(s), most approaches to the problem of scientific demarcation are now multicriteria and holistic. However, the approach presented in this paper does not follow the same guideline. The present work can be seen as an attempt to adapt Popper's (sophisticated) falsificationism to a model-based view of scientific knowledge. Using formalization and focusing on a particular epistemic unit of analysis (namely, empirical models) allows to properly define the popperian corroboration degree and to view scientificity as the maximization of this degree of corroboration over all available models and data. We eventually recover, in a natural way, well-accepted scientificity criteria: empirical adequacy, Lakatos' progressive problemshifts, balance between strength and simplicity, parsimony, and coherence as special cases of this general scientificity principle. From this viewpoint, the language dependency of our empirical knowledge no longer appears as a limitation of falsificationism but as one more reason to take it as a good epistemological framework. (shrink)

An on-going question for virtue ethics is whether it stands as a truly distinctive approach to ethics. In particular, there has been much discussion of whether virtue ethics can provide a viable understanding of right action, one that is a genuine rival to familiar consequentialist and deontological accounts. In this chapter I examine two prominent approaches to virtue ethics, (i) qualified agent and (ii) agent-based virtue ethics, and consider whether either can provide an adequate account of right action. I (...) begin with a presentation of their accounts of right action, including consideration of what is meant by the term “right action”. With this groundwork in place, I turn to a series of important objections that have been raised against these accounts, and consider some of the more prominent and promising responses that these objections have inspired. (shrink)

The critique of Metaphysics and Morality occupies a central place in post-modern philosophy. The decline and decadence of absolute truths about the true nature of reality, was presented by radical changes in scientific progress. Nietzsche’s proclamation of the Death of God will be set as the starting point for the critique and personal reflection. Nietzsche’s new conception of man, breaks off from traditional understanding, inherited from the pre-Socratics. Nietzsche is not a post-modern philosopher who is against morality, but rather opposed (...) to the traditional way of moral evaluations, which have historically been based on different metaphysical models that presupposes a world replete of universal truths. This work deals with the proposition given on the impossibility of morals based on transcendental truths given a stronger version of Nietzsche‘s Will to Power and the implication of such findings on the most practical aspects of our daily lives and future moral evaluations. (shrink)

Pattern-based reasons are reasons for action deriving not from the features of our own actions, but from the features of the larger patterns of action in which we might be participating. These reasons might relate to the patterns of action that will actually be carried out, or they might relate to merely hypothetical patterns. In past work, I have argued that accepting merely hypothetical pattern-based reasons, together with a plausible account of how to weigh these reasons, can lead (...) to disastrous consequences. However, in this article, I argue that this problem is not limited to hypothetical pattern-based reasons: it turns out that there are analogous issues for reasons deriving from actual patterns. I then suggest that we can avoid this problem by adopting a different account of the weight of pattern-based reasons. (shrink)

In Franceschi (2002), I presented a theory based on the matrices of concepts aiming at providing an alternative to the classification proposed by Greimas, in the field of paradigmatic analysis. The problem of specifying the relationships of the concepts of love, hate and indifference, arises in this construction. I attach myself to describe the problem of the love-hate-indifference relationships in detail, and several solutions that have been proposed to solve it. Finally I expose a solution to this (...) problem, based on an extension of the theory of matrices of concepts. (shrink)

This paper illustrates a theoretical gap that arises in the relationship between theorizing global justice and local biodiversity conservation practices: the ‘global duties – local burdens problem’. This problem arises if one’s account of just-burden sharing (who is attributed the responsibility to carry the burdens of biodiversity protection) and the geographic realities (who would be burdened by conservation measures in practice) do not match up. That involves two difficulties: (1) a conceptual problem arising from the incongruity between (...) the currency of justice in the global-abstract and the local-particular; and (2) a moral concern about the cultural costs at stake. (shrink)

Similarity-based cognition is commonplace. It occurs whenever an agent or system exploits the similarities that hold between two or more items—e.g., events, processes, objects, and so on—in order to perform some cognitive task. This kind of cognition is of special interest to cognitive neuroscientists. This paper explicates how similarity-based cognition can be understood through the lens of radical enactivism and why doing so has advantages over its representationalist rival, which posits the existence of structural representations or S-representations. Specifically, (...) it is argued that there are problems both with accounting for the content of S-representations and with understanding how neurally-based structural similarities can work as representations in guiding intelligent behavior. Finally, with these clarifications in place, it is revealed how radical enactivism can commit to an account of similarity-based cognition in its understanding of neurodynamics. (shrink)

The ability to solve problems is a prerequisite in preparing mathematics preservice teachers. This study assessed preservice teachers’ problem-solving difficulties and performance, particularly in worded problems on number sense, measurement, geometry, algebra, and probability. Also, academic profile differences in the preservice teacher’s problem-solving performance and common errors were determined. A descriptive-comparative research design was employed with 158 random respondents. Data were gathered face-to-face during the first semester of the school year 2022-2023, and data were analyzed with the aid (...) of jamovi software, ensuring ethical measures. Overall findings revealed that the preservice teachers experienced average difficulty in solving problems. The low performance of the preservice teachers on the given problems was also demonstrated. Further analysis revealed a significant difference between the preservice teachers’ problem-solving performance based on their subject preference and program. Moreover, the error analysis revealed that the preservice teachers incurred comprehension errors in misrepresentation, misinterpretation, and miscalculation. These results will serve as a measure for policymakers and curriculum developers of the teacher education institution concerned to make relevant enhancements to the math courses offered in the elementary and secondary education programs. (shrink)

Education as identity formation in Western-style liberal-democracies relies, in part, on neutrality as a justification for the reproduction of collective individual identity, including societal, cultural, institutional and political identities, many aspects of which are problematic in terms of the reproduction of environmentally harmful attitudes, beliefs and actions. Taking a position on an issue necessitates letting go of certain forms of neutrality, as does effectively teaching environmental education. We contend that to claim a stance of neutrality is to claim a position (...) beyond criticism. In the classroom this can also be an epistemically damaging position to hold. To further explore the problem of neutrality in the classroom, and to offer a potential solution, we will look to the philosophical community of inquiry pedagogy, and advocate for the addition of place-based education; a form of experiential education that promotes learning in local communities in which the school is situated, each with its own history, culture, economy and environment. However, how we understand ‘place’ is fundamental to understanding the potential of place-based education in giving students a ‘sense of place’—how they perceive a place, which includes place attachment and place meaning. To this end, we look to Indigenous understandings of Place and social reconstruction learning to inform place-based pedagogies. Doing so, we hold, opens a pathway to ethical education. (shrink)

Many current popular views in epistemology require a belief to be the result of a reliable process (aka ‘method of belief formation’ or ‘cognitive capacity’) in order to count as knowledge. This means that the generality problem rears its head, i.e. the kind of process in question has to be spelt out, and this looks difficult to do without being either over or under-general. In response to this problem, I propose that we should adopt a more fine-grained account (...) of the epistemic basing relation, at which point the generality problem becomes easy to solve. (shrink)

-/- The Inefficiency of the Biological Brain and Its Impact on Personal, Social, and Societal Problems: A Perspective Based on the Universal Formula -/- The human brain, though remarkably complex and capable of extraordinary feats, is inherently limited by its biological structure and inefficiencies. These limitations often lead to errors in perception, cognition, and decision-making, which in turn contribute to a wide range of personal, social, and societal problems. Using the framework of the universal formula, which incorporates the law (...) of karma (cause and effect) and the necessity for systems to be free of defects, we can analyze how the inefficiency of the brain manifests as imbalances that disrupt the natural order. -/- The Biological Brain as an Inefficient System -/- The human brain operates as a biological system, governed by physical and chemical processes. Like any system, it is susceptible to defects, such as cognitive biases, emotional dysregulation, and limitations in memory and reasoning. These inefficiencies stem from evolutionary constraints, where survival and reproduction were prioritized over optimal functioning. -/- For instance, the brain’s tendency toward confirmation bias—favoring information that aligns with existing beliefs—illustrates a defect that disrupts rational decision-making. This defect violates the universal law of balance in nature by creating distorted perceptions of reality, leading to decisions that are not aligned with objective truth. As a result, personal problems such as poor judgment, anxiety, and conflict arise. -/- Impact on Social Interactions and Collective Decisions -/- The inefficiencies of individual brains are amplified in social contexts, where interactions between flawed minds create feedback loops of misunderstanding, miscommunication, and conflict. For example, tribalism—a byproduct of evolutionary social bonding—leads to in-group favoritism and out-group hostility. These behaviors create social imbalances, fueling discrimination, prejudice, and division. -/- According to the universal formula, collective decision-making systems must also adhere to the law of balance. However, when individuals operating under cognitive and emotional inefficiencies participate in governance, education, or economic systems, these defects propagate, resulting in flawed policies and societal structures. For example, leaders influenced by personal biases or misinformation can implement policies that favor short-term gains over long-term sustainability, creating systemic imbalances in society. -/- Societal Problems Rooted in Brain Inefficiency -/- The accumulation of individual and social imbalances inevitably manifests as societal problems, such as poverty, inequality, and environmental degradation. These issues can be traced back to the inefficiency of the biological brain in processing complex, interconnected systems. The human brain struggles to comprehend long-term consequences, leading to overconsumption, unchecked population growth, and unsustainable economic models. -/- The law of karma in the universal formula emphasizes that defective systems produce flawed outcomes. Societies governed by human brains that fail to account for natural balance are bound to experience the consequences of imbalance, such as resource depletion, social unrest, and climate change. These problems are not merely incidental; they are the inevitable result of a system that violates the principles of natural harmony. -/- Addressing Brain Inefficiency Through the Universal Formula -/- The universal formula provides a roadmap for addressing the inefficiencies of the biological brain by emphasizing the importance of balance, feedback mechanisms, and defect-free systems. Education plays a crucial role in this process. By teaching the universal law of balance in nature and fostering critical thinking, individuals can learn to recognize and correct cognitive biases, emotional distortions, and flawed reasoning. -/- Furthermore, the integration of artificial intelligence programmed with the universal formula offers a promising solution to mitigate human brain inefficiencies. AI systems, equipped with complete sensor systems and free from cognitive biases, can serve as objective feedback mechanisms to guide human decision-making. These systems can help individuals and societies adhere to the principles of natural balance, preventing and solving problems that arise from brain inefficiencies. -/- Conclusion -/- The inefficiency of the biological brain is a fundamental cause of many personal, social, and societal problems. By understanding these inefficiencies through the lens of the universal formula, we can identify the root causes of imbalance and implement solutions that align with the natural laws of balance and karma. Through education, technological innovation, and adherence to universal principles, humanity can transcend the limitations of its biological brain and move toward a more harmonious and sustainable future. -/- . (shrink)

David Braybrooke argues that meeting people’s needs ought to be the primary goal of social policy. But he then faces the problem of how to deal with the fact that our most pressing needs, needs to be kept alive with resource-draining medical technology, threaten to exhaust our resources for meeting all other needs. I consider several solutions to this problem, eventually suggesting that the need to be kept alive is no different in kind from needs to fulfill various (...) projects, and that needs may have a structure similar to rights, with people’s legitimate needs serving as constraints on each other’s entitlements to resources. This affords a set of axioms constraining possible needs. Further, if, as Braybrooke thinks, needs are created by communities approving projects, so that the means to prosecute the projects then come to count as needs, then communities are obliged to approve only projects that are co-feasible given the world’s finite resources. The result is that it can be legitimate not to funnel resources towards endless life-prolongation projects. (shrink)

The objective of this study. To develop a learning management model based on Buddhist principles. To promote teamwork and problem solving skills. And study the results of use learning management model based on Buddhist principles. To promote teamwork and problem solving skills. The results found that: A form of learning by Buddhist. To promote skills, teamwork and problem solving skills for undergraduate students elements : 1) Systematic learning management, 2) Students do activities according to the (...) steps, 3) Self-knowledge, 4) Students work in teams and solve problems and things which the learning management model developed has a 5step learning management process : 1) Build trust, 2) To investigate rationalizing, 3) Searched premise, 4) Analyze reality check, and 5) Judging goodness. The result of the model showed: 1) After studying according to the format, students experimental and control groups have knowledge and understanding in the course. The truth of life leads the teacher higher than before learning at the statistical significance level of .05. 2) After studying according to the students experimental and control groups, the result of teamwork skill evaluation was higher than before learning at the statistical significance level of .05. 3) After the studying, according to the students experimental and control groups, the results of problem solving skills evaluation were higher than before learning at the statistical significance level of .05. 4) Students experimental and control groups are satisfied with the learning management model according to Buddhism. To promote teamwork and problem solving skills for undergraduate students is at the highest level. (shrink)

The main goal of this paper is to investigate what explanatory resources Robert Brandom’s distinction between acknowledged and consequential commitments affords in relation to the problem of logical omniscience. With this distinction the importance of the doxastic perspective under consideration for the relationship between logic and norms of reasoning is emphasized, and it becomes possible to handle a number of problematic cases discussed in the literature without thereby incurring a commitment to revisionism about logic. One such case in particular (...) is the preface paradox, which will receive an extensive treatment. As we shall see, the problem of logical omniscience not only arises within theories based on deductive logic; but also within the recent paradigm shift in psychology of reasoning. So dealing with this problem is important not only for philosophical purposes but also from a psychological perspective. (shrink)

This article endorses a familiar, albeit controversial, argument for the existence of group-based reasons for action, but then rejects two doctrines which other advocates of such reasons usually accept. One such doctrine is the willingness requirement, which says that a group-based reason exists only if (sufficient) other members of the group in question are willing to cooperate. Thus the paper argues that there is sometimes a reason, which derives from the rationality of some group action, to play one's (...) part unilaterally in that group action. This seems implausible only because we tend wrongly to accept a second doctrine, monism about the unit of agency. Monism claims that, for any given deliberative problem, there is only one unit of agency to which reasons attach. If we are monists who believe in group-based reasons, the willingness requirement will seem necessary in order to avoid recklessness. We should reject monism, and if we do so we can recognise genuine conflict between individual-based and group-based reasons, and in doing so we can explain, without endorsing the willingness requirement, why we should not act recklessly. (shrink)

Skepticism is both a historical and foundational problem in epistemology. Jonathan Schaffer (2010) has provided a new expression of its threat. The Debasing Demon appears to generate a novel form of radical doubt, one that has gained prominence in recent debates. Instead of targeting the connection between belief and truth, it undercuts the link between belief and evidence (or reasons). This contribution presents the Debasing Demon Problem, analyzing its reach. It will provide an account for explaining how its (...) threat is raised, explore its relationship to classical varieties of skepticism, and assess some of the main objections against it. It will be argued that Schaffer’s Demon institutes a consistent epistemic threat, one that might represent the main variety of skepticism to be tackled in epistemology. Some consequences of this analysis are then presented concerning how to face this open problem. (shrink)

In this paper, I address the grounding problem for contemporary Russellian panpsychism, or the question of how consciousness as an intrinsic nature is connected to dispositions or powers of objects. I claim that Russellian panpsychists cannot offer an adequate solution to the grounding problem and that they should reject the claim that consciousness, as an intrinsic nature, grounds the powers of objects. Instead, I argue that they should favour the identity theory of powers, where categorical and dispositional properties (...) are identified. I maintain that the identity theory serves as a better ontological basis for panpsychism since it avoids the grounding problem. Apart from that, I also argue that identity theory panpsychism is a position more parsimonious than Russellian panpsychism since it introduces fewer entities while successfully avoiding the grounding problem. Based on these considerations, I conclude that identity theory panpsychism is an option worth considering. (shrink)

Theories of well-being that give an important role to satisfied pro-attitudes need to account for the fact that, intuitively, the scope of possible objects of pro-attitudes seems much wider than the scope of things, states, or events that affect our well-being. Parfit famously illustrated this with his wish that a stranger may recover from an illness: it seems implausible that the stranger’s recovery would constitute a benefit for Parfit. There is no consensus in the literature about how to rule out (...) such well-being-irrelevant pro-attitudes. I argue, first, that there is no distinction in kind between well-being-relevant and irrelevant pro-attitudes. Instead, well-being-irrelevant pro-attitudes are the limiting cases on the scale measuring how much of a difference pro-attitudes make to the subject’s well-being. Second, I propose a particular scalar model according to which the well-being-relevance of pro-attitudes is measured by either their hedonic tone, or by the subject’s conative commitment. (shrink)

There is a distinction between merely having the right belief, and further basing that belief on the right reasons. Any adequate epistemology needs to be able to accommodate the basing relation that marks this distinction. However, trouble arises for Bayesianism. I argue that when we combine Bayesianism with the standard approaches to the basing relation, we get the result that no agent forms their credences in the right way; indeed, no agent even gets close. This is a serious problem, (...) for it prevents us from making epistemic distinctions between agents that are doing a reasonably good job at forming their credences and those that are forming them in clearly bad ways. I argue that if this result holds, then we have a problem for Bayesianism. However, I show how the Bayesian can avoid this problem by rejecting the standard approaches to the basing relation. By drawing on recent work on the basing relation, we can develop an account of the relation that allows us to avoid the result that no agent comes close to forming their credences in the right way. The Bayesian can successfully accommodate the basing relation. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and (...) solutions, and also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

The purpose of this was to find the studying mathayomsuksa I students' achievement in social studies, religion and culture, and ability in solving problems with the instructional methods based on Cippa and the Four Noble Truths. The sample of the study were 90 students of Mathayomsuksa I of Sinakharinwirot University Laboratory School during the second semester of the 2010 academic year. They were randomly selected by using the cluster random sampling method and assigned to two groups, with 45 students (...) in each. The first experimental group was taught through learning using Cippa, whereas the second was taught through learning using Four Noble Truths. I took 18 teaching periods for each group. The research design of this study was a randomized group pretest-posttest. The 1-test Independent sample and t-test for dependent sample (Different score) was used for data analysis The results of this study indicated that 1. The students approached by Cippe model with Four noble truths model had achievement on social studies religion and culture that was not different 2. The students approached by Cippa model had higher Post-Test achievement on social studies religion and culture than pre-test 3. The students approached by Four noble truths model had higher Post-Test achievement on social studies religion and culture than pre-test 4. The students approached by Cippa model with Four noble truths model had problem solving ability was not different 6. The students approached by Cippa model had problem solving ability higher Post-Test than pre-test. (shrink)

We describe and try to motivate our project to build systems using both a knowledge based and a neural network approach. These two approaches are used at different stages in the solution of a problem, instead of using knowledge bases exclusively on some problems, and neural nets exclusively on others. The knowledge base (KB) is defined first in a declarative, symbolic language that is easy to use. It is then compiled into an efficient neural network (NN) representation, run, (...) and the results from run time and (eventually) from learning are decompiled to a symbolic description of the knowledge contained in the network. After inspecting this recovered knowledge, a designer would be able to modify the KB and go through the whole cycle of compiling, running, and decompiling again. The central question with which this project is concerned is, therefore, How do we go from a KB to an NN, and back again? We are investigating this question by building tools consisting of a repertoire of language/translation/network types, and trying them on problems in a variety of domains. (shrink)

Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against a (...) background of potential cross reactivity with other flavi-viruses, difficulties in distinguishing primary from secondary infections and technological problems related to the fact that most dengue endemic regions are relatively poor of resources .Objectives: to help doctors and patients in diagnosing Dengue Disease and give them the information of how to prevent Dengue Disease and to be able to understand the signs and symptoms of Dengue Disease. Methods: We collected all relevant material for Dengue Disease. Then we designed and implemented a knowledge based system for diagnosing Dengue Disease using SL5 Object Language. Results: The knowledge based system was evaluated by a group of Patients and specialized doctors and they found it very friendly and easy to use. (shrink)

Temporal epistemic logics are known, from results of Halpern and Vardi, to have a wide range of complexities of the satisfiability problem: from PSPACE, through non-elementary, to highly undecidable. These complexities depend on the choice of some key parameters specifying, inter alia, possible interactions between time and knowledge, such as synchrony and agents' abilities for learning and recall. In this work we develop practically implementable tableau-based decision procedures for deciding satisfiability in single-agent synchronous temporal-epistemic logics with interactions between (...) time and knowledge. We discuss some complications that occur, even in the single-agent case, when interactions between time and knowledge are assumed and show how the method of incremental tableaux can be adapted to work in EXPSPACE, respectively 2EXPTIME, for these logics, thereby also matching the upper bounds obtained for them by Halpern and Vardi. (shrink)

We reexamine some of the classic problems connected with the use of cardinal utility functions in decision theory, and discuss Patrick Suppes's contributions to this field in light of a reinterpretation we propose for these problems. We analytically decompose the doctrine of ordinalism, which only accepts ordinal utility functions, and distinguish between several doctrines of cardinalism, depending on what components of ordinalism they specifically reject. We identify Suppes's doctrine with the major deviation from ordinalism that conceives of utility functions as (...) representing preference differences, while being non- etheless empirically related to choices. We highlight the originality, promises and limits of this choice-based cardinalism. (shrink)

Phenomenon-based learning is learning activities management processes that Connected to Transdisciplinary in The Classroom of Social Studies Teachers by encouraging learners to collaboratively observe interesting phenomena and can be found in the real-world on interdisciplinary to lead the group discussion in a wider perspective as well as to inform learners about attention issues, problems, and questioning under the context of observable phenomena that consist of 6 steps as follows: Step 1: Choose an interesting social phenomenon; Step 2: Observe social (...) phenomena together; Step 3: Search for information on social phenomena; Step 4: Implementation as planned; Step 5: Present and reflect the idea, and Step 6: Assess based on an actual condition. In each step can encourage learners to interact among learners in groups, hands-on, and learning together that lead to building on explicit knowledge and applying it to the daily life of each learner more effectively. (shrink)

Brain Based Learning or BBL is a process of learning management that focuses on students as important as the brain principles and learning. The teacher can knowledge to teaching and learning. To promote critical thinking skills problem solving skills and creative skills for learners which can be applied to social studies learning. There are 5 steps include Step 1 Presentation of problems. Step 2 Setting up issues in groups. Step 3 Information seeking. Step 4 Presentation. and Step 5 (...) Concluding. Which social studies teachers need to use a variety of strategies and techniques. To stimulate the brain of the learner. which leads to more effective learning. (shrink)

Brain Based Learning or BBL is a process of learning management that focuses on students as important as the brain principles and learning. The teacher can knowledge to teaching and learning. To promote critical thinking skills problem solving skills and creative skills for learners which can be applied to social studies learning. There are 5 steps include Step 1 Presentation of problems. Step 2 Setting up issues in groups. Step 3 Information seeking. Step 4 Presentation. and Step 5 (...) Concluding. Which social studies teachers need to use a variety of strategies and techniques. To stimulate the brain of the learner. which leads to more effective learning. (shrink)

This paper proposes a novel framework for the hard problem of consciousness (Why does any of this information processing come with an inner, subjective experience at all?) by integrating the Theory of Autocatalytic Sets with empirical results from the Miller-Urey experiment. The emergence and sustainability of life are traced to autocatalytic chemical networks, whose persistence is attributed to a physical property termed "inertia." The Miller-Urey experiment provides empirical support for the spontaneous formation of life's building blocks in early Earth (...) conditions, supplying the necessary precursors for autocatalytic sets. The evolution of increasingly complex autocatalytic networks, driven by systemic inertia, is posited as the foundation for biological evolution and, ultimately, consciousness. In this view, consciousness is a higher-order manifestation of self-reflective inertia, serving as an adaptive tool for the preservation and stability of complex living systems. (shrink)