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)

"In 'Hobbes and the Social Contract Tradition' Professor Hampton undertakes an "extensive examination" of Hobbes's argument, primarily as stated in Leviathan, for the institutionof an absolute sovereign. Hampton, however, is concerned to accomplish more than "a description or explication" of Hobbes's political philosophy. Rather, it is her intention to develop a "rational reconstruction" of Hobbes's argument.... 'Hobbes and the Social Contract Tradition' is an important and valuable contribution to the study of Hobbes's political philosophy. Throughout this work (...) one acquires new and illuminating insights into Hobbes's argument and its contemporary significance. ... it is essential reading for all those who are seriously concerned to come to grips with Hobbes's social contract theory. Hobbes scholar and political theorist alike will learn a great deal from it.". (shrink)

We argue that the core social being system is unlike other core systems in that it participates in frequent, widespread learning. As a result, the social being system is less constant throughout the lifespan and less informationally encapsulated than other core systems. This learning supports the development of the precursors of bias, but also provides avenues for preempting it.

The purpose of this paper is to critically analyse and discuss the views of constructivism, on the teaching and learning of mathematics. I provide a background to the learning of mathematics as constructing and reconstructing knowledge in the form of new conceptual networks; the nature, role and possibilities of constructivism as a learning theoretical framework in Mathematics Education. I look at the major criticisms and conclude that it passes the test of a learning theoretical framework but (...) there is still a gap between theory and mathematics classroom practice. (shrink)

The ‘community of inquiry’ as formulated by CS Peirce is grounded in the notion of communities of disciplinary-based inquiry engaged in the construction of knowledge. The phrase ‘converting the classroom into a community of inquiry’ is commonly understood as a pedagogical activity with a philosophical focus to guide classroom discussion. But it has a broader application, to transform the classroom into a community of inquiry. The literature is not clear on what this means for reconstructing education and how it translates (...) into schooling practices. Integral to the method of the community of inquiry is the ability of the classroom teacher to actively engage in the theories and practices of discipline-based communities of inquiry so as to become informed by the norms of the disciplines, not only to aspire to competence within the disciplines, but to develop habits of self-correction for reconstructing those same norms when faced with novel problems and solutions, including those in the classroom. (shrink)

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 el ejercicio profesional, también dan cuenta que los saberes que portan estáncondicionados por dimensiones étnicas y socioculturales, y que pese a contar con experiencias y conocimientosque no distan de los contenidos curriculares con los que se forma en el sistema educativo, son excluidos yconsiderados de menor valía. La investigación concluye que los métodos y procedimientos artesanales puedenser utilizados como elementos formativos potentes para fortalecer la identidad, la participación democrática,el diálogo de saberes, la justicia social y una verdadera educación intercultural. En consecuencia, la educaciónsocial y popular puede ayudar a promover la participación activa de artesanos y otros colectivos, y de esa maneracontribuir con la transformación y cambio de las estructuras desiguales desde una filosofía socioeducativa. (shrink)

This article argues that faith is a crucial concept for understanding the relationship between reason and affect. By allowing people to learn from religious faith for secular ends, it can help generate political action for emancipatory change. Antonio Gramsci's underexplored secular-political and materialist conception of faith provides an important contribution to such a project. By speaking to common sense and tradition, faith avoids imposing a wholly external set of normative and political principles, instead taking people as they are as the (...) starting point for generating emancipatory change. It also allows us to imagine the construction of alternative institutions (the Church provides an interesting model for challenging existing state authority). Theorists should therefore pay attention not just to the rationalist logic of discursive justification but also to the complex processes of social, collectively held emotions and how these influence political action as forms of affect. The article provides a detailed reconstruction of Gramsci's conception of faith and analyzes the instruments it provides for bridging the gap between reason and affect. (shrink)

The Russian people are struggling to learn how to create a democracy and a market economy. This paper reviews the results of reform efforts to date and what the Russian people are learning as indicated by changes in answers to public opinion surveys. As a way to continue the social learning process in Russia we suggest the widespread use of process improvement methods in organizations. This paper describes some Russian experiences in using process improvement methods and proposes (...) a strategy for spreading the use of these methods through universities and then through businesses and government agencies. As people use process improvement methods, they gain confidence in their ability to improve the functioning of organizations and society. (shrink)

In “Psychopower and Ordinary Madness” my ambition, as it relates to Bernard Stiegler’s recent literature, was twofold: 1) critiquing Stiegler’s work on exosomatization and artefactual posthumanism—or, more specifically, nonhumanism—to problematize approaches to media archaeology that rely upon technical exteriorization; 2) challenging how Stiegler engages with Giuseppe Longo and Francis Bailly’s conception of negative entropy. These efforts were directed by a prevalent techno-cultural qualifier: the rise of Synthetic Intelligence (including neural nets, deep learning, predictive processing and Bayesian models of cognition). (...) This paper continues this project but first directs a critical analytic lens at the Derridean practice of the ontologization of grammatization from which Stiegler emerges while also distinguishing how metalanguages operate in relation to object-oriented environmental interaction by way of inferentialism. Stalking continental (Kapp, Simondon, Leroi-Gourhan, etc.) and analytic traditions (e.g., Carnap, Chalmers, Clark, Sutton, Novaes, etc.), we move from artefacts to AI and Predictive Processing so as to link theories related to technicity with philosophy of mind. Simultaneously drawing forth Robert Brandom’s conceptualization of the roles that commitments play in retrospectively reconstructing the social experiences that lead to our endorsement(s) of norms, we compliment this account with Reza Negarestani’s deprivatized account of intelligence while analyzing the equipollent role between language and media (both digital and analog). (shrink)

This study focuses on the step-to-step procedure in creating Facebook Social Learning Group (FBSLG) and the perception of students on using FBSLG as learning management tool. Descriptive method was employed in this study participated by two hundred eighty (280) teacher education students in Nueva Ecija University of Science and Technology – College of Education during the academic year 2020-2021 who were purposively selected based on the criteria set by the researcher. Five simple steps on creating FBSLG were (...) discussed by the researcher. Using the adapted survey questionnaire, the data revealed that the students strongly agreed on the four aspects of perception about FBSLG namely: pedagogical affordance, social affordance, technological affordance, and their overall perception on the platform. Some worries of the students on the platform were addressed like the safety of sharing ideas in the FBSLG and some technical difficulties were encountered. It is concluded that the FBSLG is a good platform of conducting classes during this time of pandemic, so the use of this platform to other subjects is highly recommended. (shrink)

A shared narrative in the literature on the evolution of cooperation maintains that social _learning_ evolves early to allow for the transmission of cumulative culture. Social _norms_, whilst present at the outset, only rise to prominence later on, mainly to stabilise cooperation against the threat of defection. In contrast, I argue that once we consider insights from social epistemology, an expansion of this narrative presents itself: An interesting kind of social norm — an epistemic coordination norm (...) — was operative in early and important instances of specialised social learning. I show how there’s a need for such norms in two key social learning strategies and explain how this need is constituted. In assessor-teaching (e.g. Castro et al., 2019b, 2021), epistemic coordination norms allow agents to coordinate around the _content_ of social learning, i.e., what is to be known and how this is to be done. These norms also allow agents to coordinate around the form of cultural learning in what’s sometimes called strategic social learning (Laland, 2004; Hoppitt & Laland, 2013; Heyes, 2018, Chap. 5) and elsewhere. Broadly speaking, this concerns how cultural learning is organised within the social group. The upshot is that the evolution of social learning and social norms are intertwined in important and underappreciated ways from early on. The above matters as it informs our views about the evolution of social norms more generally. Truly _social_ norms emerged to coordinate a plurality of complex behaviours and interactions, amongst them specialised social learning. I substantiate this view by contrasting it with Jonathan Birch’s views on the evolution of norms. What results is a general but cohesive narrative on the early evolution of social norms. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify (...) and classify cyberbullying behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. T. (shrink)

Senior high school is known to be part of the newly implemented K-12 program in the Philippines' educational system. Hence, this program added two years to the academic learning program of students, which mainly focuses on different theoretical and vocational strands that aim to prepare and fully furnish the students for education and employment in the future. Due to adjustments to new online learning amidst the pandemic, students begin to experience various challenges, primarily social support and mental (...) well-being. Hence, this study investigates the relationship between social support and anxiety with 160 respondents from private schools. The findings revealed that social support and anxiety have a significant relationship (r=0.126). (shrink)

The pandemic has clearly affected higher education institutions through the transition of its learning modality to online. Furthermore, this study investigates the relationship between social support and burnout among college students amidst the COVID-19 pandemic. Utilizing descriptive-correlational design, the result of the statistical analysis indicated that social support and academic burnout has a significant relationship (r=0.158). Implications of the study were discussed and recommendations for future research were suggested.

Cumulative cultural knowledge [CCK], the knowledge we acquire via social learning and has been refined by previous generations, is of central importance to our species’ flourishing. Considering its importance, we should expect that our best epistemological theories can account for how this happens. Perhaps surprisingly, CCK and how we acquire it via cultural learning has only received little attention from social epistemologists. Here, I focus on how we should epistemically evaluate how agents acquire CCK. After sampling (...) some reasons why extant theories cannot account for CCK, I suggest that things aren’t as bleak as they might look. I explain how agents deserve epistemic credit for how CCK is transmitted in cultural learning by promoting a central need of their social group: The efficient and safe transmission of CCK. A good initial fit exists between this observation and Greco’s knowledge-economy framework. Ultimately, however, Greco’s account doesn’t straightforwardly account for CCK because of its strict focus on testimony. I point out two issues in the framework due to this focus. The resulting view advocates giving epistemic credit to agents when they act to promote their communities’ epistemic needs in the right way and highlights the various ways in which agents come to do this. (shrink)

AI is increasingly becoming based upon Internet-dependent systems to handle the massive amounts of data it requires to function effectively regardless of the availability of stable Internet connectivity in every affected community. As such, sustainable development (SD) for rural and mountain communities will require more than just equitable access to broadband Internet connection. It must also include a thorough means whereby to ensure that affected communities gain the education and tools necessary to engage inclusively with new technological advances, whether they (...) be focused on machine learning algorithms or community infrastructure, as they will be increasingly dependent upon the automational capabilities of AI. In this essay, an exploration will be conducted into the means whereby student-engaged learning (SEL) can effectively be utilized to provide targeted, inclusive education to rural and mountain communities regarding the implications of AI for SD. (shrink)

Lukács is widely recognized as being the first critical theorist to have explicitly developed the idea of a “standpoint theory”. According to such a theory, members of oppressed groups enjoy an epistemic privilege regarding the nature of their oppression. However, there is no agreement regarding what precise argument Lukács offers for his claims regarding the alleged epistemic privilege of the working class. Additionally, it remains unclear whether later feminist standpoint theories share any continuity with Lukács’s argument. In this analysis, I (...) identify four arguments for the epistemic privilege of oppressed groups that could be attributed to Lukács. I argue that, although Lukács does not consistently endorse any specific argument, the most promising interpretation suggests that epistemic privilege arises from a contradiction between the norms that guide the self-understanding of such groups and the effects of the social practices they are socially obligated to engage in. (shrink)

Gabriel Tarde, along with Durkheim and others, set the foundations for what is today a common-sense statement in social science: crime is a social phenomenon. However, the questions about what social is and what kind of social phenomenon crime is remain alive. Tarde’s writings have answers for both of these capital and interdependent problems and serve to renew our view of them. The aim of this article is to reconstruct Tarde’s definition of crime in terms of (...) genus and specific difference, exploring his criminology as a case of his general sociology. This procedure shows that Tarde succeeded in creating a comprehensive theory of crime and criminals founded not only on his most well-known concept, imitation, but also on his equally important concepts of invention, opposition, social logic and social teleology. For Tarde, crime is a complex phenomenon related to criminal inventions, criminal propagations, the production of penal laws, the execution of controls and punishments, and the collective reactions to all these. (shrink)

This study evaluated the effectiveness of four game-based activities (GBAs) in teaching ecosystems to Grade 7 Biology students. Involving 69 students (34 control, 35 experimental), the quasi-experimental study used a mixed-methods approach. The researcher utilized a static-group comparison design for the quantitative phase and a thematic analysis for the qualitative phase. Quantitative analysis revealed significant improvements in the experimental group's social skills (p<0.05; Cohen’s d = 0.63) and conceptual understanding (p<0.05; Cohen’s d = 0.86). Descriptive statistical analysis also suggests (...) that GBAs can foster positive attitudes toward using GBAs and learning. Qualitative data from journal entries and teacher-observer interviews highlighted enhanced communication, collaboration, confidence, and participation among students using GBAs. The study also recognized the interconnection between conceptual understanding, social skills, and attitude toward learning, not just as pedagogical tools but also as practical tools in improving students’ affective domain, creating a safe environment beneficial for the learning process in general. (shrink)

The broad range of emotional factors that affect learning on the sudden change of the learning modality in Mathematics led to this study. This study aimed to compare the level of support factors that greatly affect the students’ learning in mathematics in a blended learning approach. Sex, age, and relationship status were considered grouping variables on the individual, motivational, and social support factors towards learning mathematics in the blended learning mode of thirty education (...) students at the tertiary level. This study used a quantitative approach, particularly descriptive-comparative design. It utilized descriptive statistics such as means, standard deviations, and frequency and percent to describe the level of support factors. T-test for independent samples/ Mann Whitney U test was used to compare the level of support factors when grouped by the profile variables. Repeated Measures Analysis of Variance was used to compare the three support factors. The results revealed that the students’ level of support factors is high. Moreover, the level of support factors towards learning the subject in the blended learning mode of delivery of the students is the same regardless of their sex, age, and relationship status except in individual factors. Older students are influenced by their self-esteem or study habits more than younger students in learning mathematics in a blended approach. The students are eager to learn Mathematics in a blended learning approach because they are more motivated or are supported by their peers or their self-esteem. (shrink)

Learning to love the reviewer -/- Issue: 43(4) November 2017. Viewpoint Page 83 -/- Quan Hoang Vuong Western University Hanoi, Centre for Interdisciplinary Social Research, Hanoi, Vietnam.

This project was provoked by the almost nonexistent pushback from the Democratic liberal establishment to the (2020) exoneration of Kyle Rittenhouse, despite his acknowledged killing of two Black Lives Matters protesters against the police murder of George Floyd. It builds on three prior articles arguing for the revival of ancient Dionysian practice, Haitian Vodou, and Indigenous South American shamanism to empower leftist revolution. In essence, I propose an assemblage of spiritual practices that are accessible today for the neo-colonized 99% of (...) the global population, by synthesizing and reconstructing three democratic, lower-SES, Indigenous religions, all of which share a militant defiance of their respective tyrannical plutocracies. To avoid cultural appropriation, I center these reconstructed spiritual practices on the figure of the “mage,” a psychosocial healer loosely analogous to a shaman. And the mage’s signature activity, “magic,” I redefine naturalistically as free interpersonal performative action, practiced using two theoretical disciplines (philosophy and psychology) and two practical disciplines chosen by each mage. More precisely, Spirit/Dance channels the “spirits” of dead ancestors, historical figures, legendary heroes, mythical beings, and fictional characters, into the three ultimate objectives of “mindfulness” for psyches/souls, “liberation” for mindful bodies, and “social justice” for liberated communities, indirectly empowering long-term revolution. (shrink)

Aims: This paper assessed the motivation and perception of Grade 12 public school students in learning social science during the pandemic. It also investigated the difference in their motivation and perception. -/- Study Design: Descriptive-comparative design. -/- Place and Duration of Study: School Division of a Component City in Northern Negros Occidental, between January 2021 to July 2022. -/- Methodology: The study utilized the descriptive-comparative design. The study was assessed by 436 stratified randomly sampled students. The assessments were (...) gathered using the modified motivation and perception questionnaires. In analyzing the data, mean, standard deviation, Mann Whitney, and Kruskal Wallis were employed. -/- Results: Generally, the motivation (M=3.83, SD= 0.67) shows an agreeable result. The extrinsic goal orientation (M=4.15, SD= 0.88) is rated highest with an agreeable result, and social engagement (M=3.46, SD= 0.92) is the lowest with a neutral result. Meanwhile, they have agreeable perceptions (M=3.69, SD= 0.65) with perceived value (M=3.79, SD= 0.79) as highest and perceived teachers' attitude (M=3.46, SD= 0.89) as lowest. Moreover, there was no difference in their motivation when group according to sex [U=21954.5, p=0.721] and track [U=22104.0, p=0.875]. While a significant difference in academic performance [χ2(4)=53.069, p=0.000]. In terms of perception, it found no difference when grouped according to sex [U=22309.0, p=0.771] and track [U=22163.0, p=0.912]. While a significant difference in academic performance [χ2(4)=32.042, p=0.000]. -/- Conclusion: The study implies the need to address students' motivation and perception issues to ensure their quality learning of social science. (shrink)

Humans are uncontroversially better than other species at learning from their peers. A key example of this is imitation, the ability to reproduce both the means and ends of others’ behaviours. Imitation is critical to the acquisition of a number of uniquely human cultural and cognitive traits. However, while authors largely agree on the importance of imitation, they disagree about the origins of imitation in humans. Some argue that imitation is an adaptation, connected to the ‘Mirror Neuron System’ that (...) evolved to facilitate action understanding and the learning of social behaviours. Others argue that imitation is a cultural practice learned in childhood, and that there is no evidence that it evolved genetically. We offer a third alternative that is consistent with both data that the human brain is optimised for imitation, and consistent with its being substantially learned. We hypothesise that at some point in human history humans underwent natural selection for two imitation-relevant abilities – specifically, (i) the tendency to be more attentive to our peers, and (ii) fine motor skill in the manual and oro-facial domains. These changes enabled us to excel at both learning to imitate, and learning by imitating. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify (...) and classify cyberbullying behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. To optimize the performance of the detection model, techniques such as Grid Search, Genetic Algorithms, and Particle Swarm Optimization are used to fine-tune hyperparameters, resulting in improved accuracy and reduced false positives. The system's effectiveness is validated through experiments conducted on various social media platforms, demonstrating its potential to detect cyberbullying with high precision. Future work will focus on enhancing the model's adaptability to emerging slang and evolving language patterns in social media. Key words: Cyberbullying Detection, Social Media, Supervised Machine Learning, Natural Language Processing (NLP), Optimization Techniques. (shrink)

Background: Previous studies assessing students’ learning outcomes and identifying contributing factors have often dwelt on the cognitive domain. Furthermore, school evaluation decisions are often made using scores from cognitive-based tests to rank students. This practice often skews evaluation results, given that education aims to improve the three learning domains. This study addresses this gap by assessing the contributions of four students’ input to their cognitive, affective and psychomotor skills (CAPs). Methods: A cross-section of senior secondary class II students (...) (n = 870), sampled through the multistage procedure, participated in a physical survey. Students’ Inputs Questionnaire (STIQ) and Learning Outcomes Questionnaire (LOQ) were used for data collection. Based on data obtained from a pilot sample (n = 412), principal axis factoring (PAF) was performed to assess the internal structure of the instruments following an oblique rotation. The KMO value of sampling adequacy were 0.88 and 0.94, while the Bartlett’s test of sphericity were significant χ2 (253) = 5,010; p < 0.001 and χ2 (105) = 3693.38, p < 0.001 for the STIQ and LOQ, respectively. Confirmatory factor analysis was used to assess the models’ acceptability based on the maximum likelihood estimation technique. The main study used hierarchical linear regression for data analysis. Results: Findings indicated that innate ability, health, motivation and social capital relatively and cumulatively predicted students’ overall, cognitive, affective and psychomotor learning outcomes. The proportion of variance explained by the predictors increased at different levels of the models with the addition of new variables. Students’ social capital reduced the effect of students’ innate ability regardless of their motivation and health status. Conclusion/implication: This study has provided evidence that the four students’ inputs are crucial predictors of their learning outcomes in the three domains. This result is helpful for school management to provide services aimed at improving the school climate for students’ motivation and social capital. The result can provide policymakers with a proper understanding of the constituents of learning outcomes and how policies can be aligned to secure quality student inputs for maximum productivity in education. (shrink)

This study argues for the historical existence of Jesus of Nazareth as a radical Jewish pacifist who angered both the orthodox religious establishment and those who advocated violent insurrection against the Romans. The author asserts that Jesus' views were based on belief in a non-retributive, omnibenevolent God, challenging not only the Mosaic Law but assumptions about eternal punishment and the divine sanction of the state and its retributive institutions of war and punishment. The volume also interprets Paul as being the (...) first Christian revisionist. As a result, orthodox Christianity, through the influence of Paul (and thus Augustine, Aquinas, Luther, and Calvin), has mistakenly promoted the "just war" and "divinely ordained state" doctrines in the name of a thinker whose conclusions were in the opposite direction. (shrink)

In this chapter, I consider three ‘promises’ of bringing phenomenology into dialogue with networked learning. First, a ‘conceptual promise’, which draws attention to conceptual resources in phenomenology that can inspire and inform how we understand, conceive of, and uncover experiences of participants in networked learning activities and environments. Second, a ‘methodological promise’, which outlines a variety of ways that phenomenological methodologies and concepts can be put to use in empirical research in networked learning. And third, a ‘critical (...) promise’, which suggests how work done in the realm of critical phenomenology is complementary to and useful for exploring the social justice and emancipatory aims of networked learning researchers. Through this framework, I reflect upon multiple ways in which phenomenology has and might continue to fruitfully inform and shape networked learning research. In doing so, I emphasise that deploying phenomenology in the context of networked learning not only enriches our understanding of networked learning but that phenomenology itself is enriched through testing, finetuning, and expanding its methods, concepts, and understanding, as well as unveiling its own limitations and constraints. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify (...) and classify cyberbullying behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. To optimize the performance of the detection model, techniques such as Grid Search, Genetic Algorithms, and Particle Swarm Optimization are used to fine-tune hyperparameters, resulting in improved accuracy and reduced false positives. The system's effectiveness is validated through experiments conducted on various social media platforms, demonstrating its potential to detect cyberbullying with high precision. Future work will focus on enhancing the model's adaptability to emerging slang and evolving language patterns in social media. (shrink)

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

This article reconsiders the early hominid ‘‘lithic niche’’ by examining the social implications of stone artifact making. I reject the idea that making tools for use is an adequate explanation of the elaborate artifact forms of the Lower Palaeolithic, or a sufficient cause for long-term trends in hominid technology. I then advance an alternative mechanism founded on the claim that competency in making stone artifacts requires extended learning, and that excellence in artifact making is attained only by highly (...) skilled individuals who have been taught and practiced for extensive periods. Consequently both competency and expertise in knapping comes at a high learning cost for both the individual learner and the social group to which they belong. Those high intrinsic costs of learning created contexts in which groups selected cost-reducing forms of social learning and teaching, and in which specialization could develop. Artifacts and their manufacturing processes probably acquired functions as social signals—as honest signals of valuable capacities. The magnification of these signals, through competition between knappers and through inspiring later craftspeople, may account for a substantial amount of the accumulated elaboration visible in the archaeological record. Consequently lithic artifacts operated as material symbols from an early time in hominid evolution. (shrink)

The pandemic of COVID-19 prompted several paradigm shifts throughout society, including in education. This study aimed to examine the relationships of students' engagement in online synchronous collaborative learning activities (OSCLA) with their self-efficacy (LSE), peer social support (LPSS), state of well-being (SWB), and level of academic performance (LAP). A total of 176 Filipino Grade 12 SHS students, 18 years old and older, from a private educational institution were purposively selected for this study. Data were generated using an online (...) survey. Results show that collaborative learning activities are frequently conducted (median = 4) in their synchronous online classes. It also revealed that their LSE is high (median = 4), their LPSS is high (median = 4), their LE is moderate (median = 3), their SWB is high (median = 4), and their LAP is high (median = 94.85). The results showed a statistically significant correlation of their LSE (r = 0.69, p 0.001) and LPSS with their OSCLA LE (r = 0.438, p 0.001). A statistically significant positive moderate correlation between LE and SWB (r = 0.536, p 0.001) was also found, however, no correlation was found between their OSCLA LE and LAP (r = 0.065, p = 0.393). Thus, the use of a well-designed OSCLA is strongly recommended as it positively impacts students' SWB but should be regularly reviewed for its effectiveness in sustaining improvement in the LAP of the students. (shrink)

Social media sites offer a huge data about our everyday life, thoughts, feelings and reflecting what the users want and like. Since user behavior on OSNS is a mirror image of actions in the real world, scholars have to investigate the use SM to prediction, making forecasts about our daily life. This paper provide an overview of different commonly used social media and application of their data analysis.

Traditional accounts of the role of learning in evolution have concentrated upon its capacity as a source of fitness to individuals. In this paper I use a case study from invasive species biology—the role of conditioned taste aversion in mitigating the impact of cane toads on the native species of Northern Australia—to highlight a role for learning beyond this—as a source of evolvability to populations. This has two benefits. First, it highlights an otherwise under-appreciated role for learning (...) in evolution that does not rely on social learning as an inheritance channel nor “special” evolutionary processes such as genetic accommodation (both of which many are skeptical about). Second, and more significantly, it makes clear important and interesting parallels between learning and exploratory behaviour in development. These parallels motivate the applicability of results from existing research into learning and learning evolution to our understanding of the evolution of evolvability more generally. (shrink)

The English language is immensely rich in terms of vocabulary. When learning vocabulary, successful students employ specific strategies. Several studies have been conducted to explore the vocabulary learning strategies (VLS) English language learners employ. However, there is a lack of empirical research on the topic in Afghanistan. Therefore, the aims of this study were to 1) explore the VLS undergraduate English learners employ; 2) examine the correlation between VLS and gender; 3) examine the correlation between VLS and students’ (...) year of studies; and 4) examine the correlation between VLS and students’ English proficiency level. The study used a descriptive-quantitative research design. The study discovered that metacognitive and memory strategies were the most frequently used, while social strategies were the least frequently used. Moreover, the correlation results revealed that metacognitive strategies were more prevalent among males, while memory strategies were more popular among females. (shrink)

Paul C. Taylor’s essay, Black Reconstruction in Aesthetics, is concerned with the relationship between language—in particular, what Taylor refers to as “terms”—and how we construct and live in the world. Following theorist Fred Moten, Taylor argues that “terms” are the “tools” through which we put ourselves and things into “play”. That is, “terms” help to shape how, when, and why we enter into social space with others. The “term” that Taylor is concerned with is “reconstruction”. In particular, (...) Taylor is concerned with how philosopher John Dewey utilizes the “term”, and the social space enacted through his usage. Taylor queries what is missing in Dewey’s “term”—namely, “race” and the history of “racialization”—and what this might imply about the social space that Dewey’s “term” invites us to enter. (shrink)

The research aims to identify the trends of Palestinian higher educational institutions in Gaza Strip as learning organizations from the perspective of senior management in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) employees (...) from the Palestinian universities was selected and the recovery rate was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The study found the following results: There is an agreement about: the importance of the focus of "organizational structure" with an average approval, the importance of "technological infrastructure" axis with high approval, and the importance of "strategic" with an average approval. The results concluded that the study sample agree on the importance of "organizational dimension" highly. The results showed that the sample believe that the "strategic leadership" level in the universities got medium-approval. There is a fair level agreement about the axis of interest "teams / committees". There is an agreement about the importance of the "human dimension" moderately. The results showed that the sample is highly agreed about the importance of focus of the "knowledge management", and the focus of the "continuing education". They agreed weakly to somewhat about the importance of the focus of "scientific research", moderately agree about the importance of the center of "institutional culture", agree moderately on the importance of "cognitive dimension". The results showed that the sample largely agree on the importance of the focus of "strategic partnerships and alliances". They agree highly on the axis "keep up with the labor market" and on the focus of the importance of "technology incubators". The results showed that the sample moderately agree about the importance of the theme on "consulting and training", the importance of the focus of "social responsibility", and the focus of the "Community dimension". The study found a group of recommendations including: there is a need to provide suitable environment that achieve learning organizations. There is a need to develop the technological infrastructure (hardware, software, networks, databases, and human skills) because of the great advantages that they offer. The universities need to adopt knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments. The establishment of technology incubators in universities to adopt outstanding university research projects, to protect, to supports, and to market them; furthermore, to develop the capabilities and skills of employees in the field of information technology. (shrink)

Two great problems of learning confront humanity: learning about the nature of the universe and our place in it, and learning how to become civilized. The first problem was solved, in essence, in the 17th century, with the creation of modern science. But the second problem has not yet been solved. Solving the first problem without also solving the second puts us in a situation of great danger. All our current global problems have arisen as a result. (...) What we need to do, in response to this unprecedented crisis, is learn from our solution to the first problem how to solve the second. This was the basic idea of the 18th century Enlightenment. Unfortunately, in carrying out this programme, the Enlightenment made three blunders, and it is this defective version of the Enlightenment programme that we have institutionalized in 20th century academic inquiry. In order to solve the second great problem of learning we need to correct the three blunders of the traditional Enlightenment. This involves changing the nature of social inquiry, so that social science becomes social methodology or social philosophy, concerned to help us build into social life the progress-achieving methods of aim-oriented rationality, arrived at by generalizing the progress-achieving methods of science. It also involves, more generally, bringing about a revolution in the nature of academic inquiry as a whole, so that it takes up its proper task of helping humanity learn how to become wiser by increasingly cooperatively rational means. The scientific task of improving knowledge and understanding of nature becomes a part of the broader task of improving global wisdom. (shrink)

This essay briefly summarizes the key characteristics and social philosophies in Japan’s vision of Society 5.0. Then it discusses why Vietnam, as a developing country, can learn from the experiences of Japan in establishing its vision for an AI-powered human-centric society. The paper finally provides five concrete recommendations for Vietnam toward a harmonic and human-centric coexistence with increasingly competent and prevalent AI systems, including: Human-centric AI vision; Multidimensional, pluralistic understanding of human-technology relation; AI as a driving force for socio-economic (...) development; Bottom-up, participatory approach for building the vision; and Sustainability and inclusion in the adoption of AI. (shrink)

Literature frequently describes how ineffective implementation of instructional policy frameworks can make distance learning a lonely and unrewarding academic pursuit, characterized by high student drop-out rates, high failure rates and academic exclusion. In trying to mitigate this catastrophe, academic departments in distance learning institutions utilize learning management systems (LMSs) to stimulate students’ learning experiences. In keeping with techno-progressivism, the researchers (and authors of this paper) turned to extant documentary policy and literature to review – qualitatively – (...) how the University of South Africa’s (Unisa’s) Open Distance Learning Policy (ODLP) promotes academic inclusion and learning agency as cornerstones of student success and social justice, especially in an unequal society like South Africa. The findings revealed the following: 1) Unisa’s ODLP position has the impetus to influence the deployment of the LMS to promote academic inclusion; 2) Practical means of promoting inclusion were mirrored in the provision of manual or electronic learning material, computer laboratories and free internet connectivity in regional centres across all nine provinces of South Africa, as well as in the provision of laptops for National Student Financial Aid Scheme (NSFAS)-funded students, 30 gigabytes of free monthly mobile data to all students, and assistive technologies for students with disabilities; 3) Practical utilization of an LMS to foster self-regulated learning occurred through problem-based individual activities supplemented by asynchronous demonstrative learning material (e.g. audio, video), while collaborative learning agency was enabled through e-tutoring, which afforded students the opportunity to interact with e-tutors and their peers about the learning content; 4) Drawbacks in the use of the LMS stemmed from the insufficiency of assistive learning technologies that are required for students with disabilities to participate fully in online learning, and a corpus of students’ irregular attendance at and participation in e-tutoring discussions and their projection of a negative attitude towards the e-tutors. -/- . (shrink)

This article synthesizes the current theoretical attempts to understand human-machine interactions and introduces seven premises to understand our emerging dynamics with increasingly competent, pervasive, and instantly accessible algorithms. The hope that these seven premises can build toward a social theory of human-AI cocreation. The focus on human-AI cocreation is intended to emphasize two factors. First, is the fact that our machine learning systems are socialized. Second, is the coevolving nature of human mind and AI systems as smart devices (...) form an indispensable part of our cognitive scaffolds, thus, shaping how we perceive the world and ourselves. The seven premises include: primacy of social structures; human’s desire for freedom and autonomy; AI systems will form inseparable parts of our cognitive/affective scaffolds and can change our self-understanding; philosophy and humanistic foundations on human flourishing as a guide to human-AI interaction; mindsponge information-filtering process; acculturative process of how values change and emerge from human-AI interaction; overlapping Venn diagram of the human-human, human-nature, and human-machine interactions. This article concludes with a discussion on human agency in our entanglements with socialized machines and the illusoriness of the Cartesian agent view of the mind. (shrink)

This study explores a liberatory epistemic virtue that is suitable for good learning as a form of liberating socially situated epistemic agents toward ideal virtuousness. First, I demonstrate that the weak neutralization of epistemically bad stereotypes is an end of good learning. Second, I argue that weak neutralization represents a liberatory epistemic virtue, the value of which derives from liberating us as socially situated learners from epistemic blindness to epistemic freedom. Third, I explicate two distinct forms of epistemic (...) transformation: constitutive and causal epistemic transformation. I argue that compared with the ideal conception of epistemic virtue, constitutive epistemic transformation that involves good learning has a transcendent value in light of agents constantly renewing their default epistemic status toward ideal virtuousness. (shrink)

Only our lineage has ever used trackways reading to find unseen and unheard targets. All other terrestrial animals, including our great ape cousins, use scent trails and airborne odors. Because trackways as natural signs have very different properties, they possess an information-rich narrative structure. There is good evidence we began to exploit conspecific trackways in our deep past, at first purely associatively, for safety and orienteering when foraging in vast featureless wetlands. Since our own old trackways were recognizable they were (...) self-mirroring, triggering memories of what we had been up to in the past. Using them to find our way back to the band when temporarily lost or to re-find a resource-rich area discovered the day before enabled optimal foraging. Selection for daily reiteration of one’s own old trackways therefore triggered the evolution of what is distinctive about human cognition: the autobiographical or narrative (episodic) faculty for imaginative self-projection. This faculty enabled us to glean useful social information from the stories “told” by other band members’ old trackways, and created spin-off capacities for fast-track social learning. Resultant increases in socioecological complexity then created positive selective feedback loops for further entrenchment. Incrementally we became the ultra-social narrative-minded ape, capable of creating cumulative culture. (shrink)

The analysis of multimodal argumentation in advertising is a crucial and problematic area of research. While its importance is growing in a time characterized by images and pictorial messages, the methods used for interpreting and reconstructing the structure of arguments expressed through verbal and visual means capture only isolated dimensions of this complex phenomenon. This paper intends to propose and illustrate a methodology for the reconstruction and analysis of “double-mode” arguments in advertisements, combining the instruments developed in social (...) semiotics, pragmatics, and argumentation theory. An advertisement is processed through a five-step path. The analysis of its context, text genre, and images leads to a first representation of the messages that it encodes both pictorially and verbally (step 1). These first semantic representations are further enriched by including their polyphonic articulations and presuppositions (step 2), their explicatures (step 3), and their dialogical functions and illocutionary forces (step 4). These pragmatic steps retrieve the commitment structure of the ad, which allows a further argument analysis conducted through argumentation schemes (step 5). (shrink)

The Afro-Latin dance known as ‘salsa’ is a fusion of multiple dances from West Africa, Muslim Spain, enslaved communities in the Caribbean, and the United States. In part due to its global origins, salsa was pivotal in the development of the Figuration philosophy of dance, and for ‘dancing with,’ the theoretical method for social justice derived therefrom. In the present article, I apply the completed theory Figuration exclusively to salsa for the first time, after situating the latter in the (...) dance studies literature. My first section explores Juliet McMains’ recent history, Spinning Mambo into Salsa, with an emphasis on the dynamics of class, race and sex therein. My second section explores a resonant Afro-Latin dance history, Marta E. Savigliano’s Tango and the Political Economy of Passion, where she deploys salsa’s sister-dance (tango) as a ‘counter-choreography’ to the choreography of postmodern neocolonialism. And my third section applies Figuration’s four central aspects of dance (or ‘Moves’) to salsa qua member of its ‘societal’ family of dance. In conclusion, through partnering with salsa, Figuration emerges as a member of its own ‘discursive’ family of dance, while salsa emerges as a gestural discourse capable of helping reconstruct a more socially-just world from the postmodern ruins of today. (shrink)

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

We evaluate the asymptotic performance of boundedly-rational strategies in multi-armed bandit problems, where performance is measured in terms of the tendency (in the limit) to play optimal actions in either (i) isolation or (ii) networks of other learners. We show that, for many strategies commonly employed in economics, psychology, and machine learning, performance in isolation and performance in networks are essentially unrelated. Our results suggest that the appropriateness of various, common boundedly-rational strategies depends crucially upon the social context (...) (if any) in which such strategies are to be employed. (shrink)

How feasible are conceptual engineering projects of social concepts that aim for the engineered concept to be widely adopted in ordinary everyday life? Predominant frameworks on the psychology of concepts that shape work on stereotyping, bias, and machine learning have grim implications for the prospects of conceptual engineers: conceptual engineering efforts are ineffective in promoting certain social-conceptual changes. Specifically, since conceptual components that give rise to problematic social stereotypes are sensitive to statistical structures of the environment, (...) purely conceptual change won’t be possible without corresponding world change. This tradition, however, tends to ignore that concepts don’t only encode statistical, but also causal information. Paying attention to this feature of concepts, I argue, shows that conceptual engineering is not only possible. There is an imperative to conceptually-engineer. (shrink)