997 resultados para socially biased learning


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Selected ubiquitous technologies encourage collaborative participation between higher education students and educators within a virtual socially networked e-learning landscape. Multiple modes of teaching and learning, ranging from real world experiences, to text and digital images accessed within the Deakin Studies Online learning management system and a constructed virtual world in which the user’s creative imagination transports them to the “other side” of their computer screens is discussed in this paper. These constructed environments support interaction between communities of learners and enable multiple simultaneous participants to access graphically built 3D environments, interact with digital artifacts and various functional tools and represent themselves through avatars, to communicate with other participants and engage in collaborative art learning. A narrative interpretative research approach was used to profile the 21st century higher education student learner, to investigate the lived experience and multiple art learning perspectives documented in student visual journal entries and art educator observations to ascertain if an e-technology rich augmented learning environment resulted in the establishment of more effective e-learning communities of practice.

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This chapter examines the impact of eLearning and Web 2.0 social media in a socially conservative environment in Indonesia that has nevertheless proven surprisingly adroit at change management. Web 2.0 social media has proven enormously popular in Indonesia but traditional Islamic schools (which are known in Java as pesantren but elsewhere in the Muslim world as madrasah) the focus of this study is often unable to access Web 2.0 or the Internet in general. Progressive non-national government organizations (NGOs) seek to remedy this situation by providing satellite broadband links to remote schools and this chapter examines one particular project. Despite the impoverished and conservative nature of their community, the leaders of this school have led their students in a surprisingly enthusiastic reception of eLearning technology, recognizing its great capacity to produce and enhance social networks and provide new opportunities for learning. Particular attention in this case study is given to factors relating to social capital, attitudes, and patterns of behavior in leadership and change management. A case study approach was chosen to enable a richer and more finely-grained analysis of the issues. The case study is based on semi-structured interviews and observations conducted over several years. This research shows that whilst the adoption and uptake of eLearning with emerging technologies is strongly shaped by cultural and social factors, it plays out in very different ways than might first have been expected.

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Selected ubiquitous technologies encourage collaborative participation between higher education students and educators within a virtual socially networked e-learning landscape. Multiple modes of teaching and learning, ranging from real world experiences, to text and digital images accessed within the Deakin Studies Online learning management system and a constructed virtual world in which the user's creative imagination transports them to the “other side” of their computer screens is discussed in this paper. These constructed environments support interaction between communities of learners and enable multiple simultaneous participants to access graphically built 3D environments, interact with digital artifacts and various functional tools and represent themselves through avatars, to communicate with other participants and engage in collaborative art learning. A narrative interpretative research approach was used to profile the 21st century higher education student learner, to investigate the lived experience and multiple art learning perspectives documented in student visual journal entries and art educator observations to ascertain if an e-technology rich augmented learning environment resulted in the establishment of more effective e-learning communities of practice.

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It is generally accepted that good practice in policy making and urban change initiatives requires community engagement, where community-based approaches are emphasised as a means of socially inclusive visioning. Communities expect greater transparency, accountability and engagement. This expectation is not always met, with many studies focusing on the perceived tickbox effect - where engagement is a process that has to be undertaken rather than being welcomed and embraced as an integral part of planning for urban change. This paper explores multi-disciplinary concepts and looks at ways these can be linked to community engagement in planning, particularly in larger urban Councils. In this brief glimpse at the wide variety of disciplines that could be drawn on, the paper uses information systems, teaching models, organisational theory and public policy to highlight the potential for altering concepts of community engagement. It concludes that, from these particular examples: the use of double-loop learning could help to empower the community (from organisational theory), collaboration and participation necessitate the co-ordination and exchange of information and knowledge within and between organisations (information systems), the preconception that the authority holds all the knowledge ready to be handed out to the community (teaching models) needs to be challenged, and partnerships are important in empowering people (public policy).

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A narrative interpretative research methodology was used to investigate collaboration between higher education students and an art educator with the aim of establishing a community of learners. Located, Cloud based and graphically built 3D virtual, socially networked, e-learning environments were used to encourage synchronous and asynchronous student participation in authentic learning and collaborative art practice. Discussion focuses on art educator observations, student visual journal entries, their virtual exhibition of artworks on Deakin Art Education Island in Second Life and student evaluations of the unit Navigating the Visual World. It was concluded that immersion in an e-technology rich blended learning environment resulted in the establishment of an effective e-learning community of art.

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 This study investigates factors leading to the successful design and implementation of critical literacy pedagogy in an English as a Foreign Language (EFL) class at a secondary school in the city of Bandung, West Java, Indonesia. Critical literacy pedagogy appears to have helped students to become more critical and socially aware.

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The principal aim of this study is to examine attitudes and values, through questionnaires, among students and teachers in the last grade of primary school (grade 8) regarding issues related to authoritarianism, democracy, human rights, children rights, conflict resolution and legislation in Bosnia and Herzegovina. A second aim is to explore and analyze the role of the international community in the democratization and education processes in the light of globalization in this country through secondary sources of data, site visits and observations. Analysis of the student sample reveals suspicion towards democracy, especially when democracy was associated with politics and politicians. When the issue of democracy was de-contextualized from Bosnia and Herzegovina realities in the questionnaire, students showed more positive attitudes towards it. Students generally agreed with very strong authoritarian statements. High achieving students were more democratic, more socially responsible, more tolerant regarding attitudes towards religion, race and disabilities, and less authoritarian compared to low achievers. High achievers felt that they had influence over daily events, and were positive towards social and civil engagement. High achievers viewed politics negatively, but had high scores on the democracy scale. High achievers also agreed to a larger extent that it is acceptable to break the law. The more authoritarian students were somewhat more prone to respond that it is not acceptable to break the law. The major findings from the teacher sample show that teachers who agreed with non-peaceful mediation, and had a non-forgiving and rigid approach to interpersonal conflicts, also agreed with strong authoritarian statements and were less democratic. In general, teachers valued students who behave respectfully, have a good upbringing and are obedient. They were very concerned about the general status of education in society, which they felt was becoming marginalized. Teachers were not happy with the overloaded curricula and they showed an interest in more knowledge and skills to help children with traumatic war experiences. When asked about positive reforms, teachers were highly critical of, and dissatisfied with, the educational situation. Bosnia and Herzegovina is undergoing a transition from a state-planned economy and one party system to a market economy and a multi party system. During this transition, the country has become more involved in the globalization process than ever. Today the country is a semi-protectorate where international authorities intervene when necessary. The International community is attempting to introduce western democracy and some of the many complexities in this process are discussed in this study. Globalization processes imply contradictory demands and pressures on the education system. On one hand, economic liberalization has affected education policies —a closer alignment between education and economic competitiveness. On the other hand, there is a political and ideological globalization process underlying the importance of human rights, and the inclusiveness of education for all children. Students and teachers are caught between two opposing ideals — competition and cooperation.

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In a population-based study of 207 subjects with irritable bowel syndrome (IBS) or functional dyspepsia (FD) and controls (n = 100), we aimed to determine whether dimensions of abnormal illness behavior from the Abnormal Illness Behaviour Questionnaire and aspects of social learning of illness behavior from the Social Learning of Illness Behaviour scale were independent predictors of health care seeking for IBS and FD. Results showed that dimensions of abnormal illness behavior and aspects of social learning of illness behavior (encouragement, reinforcement, and modeling) did not significantly differentiate between consulters and nonconsulters with IBS and/or FD. The Disease Conviction scale (OR = 1.55; 95% CI, 1.15-2.09) of the Abnormal Illness Behaviour Questionnaire was an independent predictor of having a diagnosis of IBS and/or FD, independent of age and gender, psychiatric diagnoses, and symptom severity. We conclude that a belief in the presence of serious pathology characterizes community subjects with IBS and FD, but not health care seeking.

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The present work documents how the logic of a model's demonstration and the communicative cues that the model provides interact with age to influence how children engage in social learning. Children at ages 12, 18, and 24 months (n = 204) watched a model open a series of boxes. Twelve-month-old subjects only copied the specific actions of the model when they were given a logical reason to do so- otherwise, they focused on reproducing the outcome of the demonstrated actions. Eighteen-month-old subjects focused on copying the outcome when the model was aloof. When the model acted socially, the subjects were as likely to focus on copying actions as outcomes, irrespective of the apparent logic of the model's behavior. Finally, 24-month-old subjects predominantly focused on copying the model's specific actions. However, they were less likely to produce the modeled outcome when the model acted nonsocially.

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Most existing color-based tracking algorithms utilize the statistical color information of the object as the tracking clues, without maintaining the spatial structure within a single chromatic image. Recently, the researches on the multilinear algebra provide the possibility to hold the spatial structural relationship in a representation of the image ensembles. In this paper, a third-order color tensor is constructed to represent the object to be tracked. Considering the influence of the environment changing on the tracking, the biased discriminant analysis (BDA) is extended to the tensor biased discriminant analysis (TBDA) for distinguishing the object from the background. At the same time, an incremental scheme for the TBDA is developed for the tensor biased discriminant subspace online learning, which can be used to adapt to the appearance variant of both the object and background. The experimental results show that the proposed method can track objects precisely undergoing large pose, scale and lighting changes, as well as partial occlusion. © 2009 Elsevier B.V.

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Thesis (Ph.D.)--University of Washington, 2016-08

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There is increasing advocacy for inclusive community-based approaches to environmental management, and growing evidence that involving communities improves the sustainability of social-ecological systems. Most community-based approaches rely on partnerships and knowledge exchange between communities, civil society organizations, and professionals such as practitioners and/or scientists. However, few models have actively integrated more horizontal knowledge exchange from community to community. We reflect on the transferability of community owned solutions between indigenous communities by exploring challenges and achievements of community peer-to-peer knowledge exchange as a way of empowering communities to face up to local environmental and social challenges. Using participatory visual methods, indigenous communities of the North Rupununi (Guyana) identified and documented their community owned solutions through films and photostories. Indigenous researchers from this community then shared their solutions with six other communities that faced similar challenges within Guyana, Suriname, Venezuela, Colombia, French Guiana, and Brazil. They were supported by in-country civil society organizations and academics. We analyzed the impact of the knowledge exchange through interviews, field reports, and observations. Our results show that indigenous community members were significantly more receptive to solutions emerging from, and communicated by, other indigenous peoples, and that this approach was a significant motivating force for galvanizing communities to make changes in their community. We identified a range of enabling factors, such as building capacity for a shared conceptual and technical understanding, that strengthens the exchange between communities and contributes to a lasting impact. With national and international policy-makers mobilizing significant financial resources for biodiversity conservation and climate change mitigation, we argue that the promotion of community owned solutions through community peer-to-peer exchange may deliver more long-lasting, socially and ecologically integrated, and investment-effective strategies compared to top-down, expert led, and/or foreign-led initiatives.

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In a context of rapid demographic and technological changes, digital skills are essential in order for citizens to actively participate in society. However, digital literacy for all citizens, especially for the older population, is not yet a reality. It is increasingly crucial for active ageing, lifelong learning, and life-wide learning that the elderly learn digital skills. Intergenerational learning can play a key role in achieving a wide range of goals. This paper focuses on the contribution of intergenerational learning to digital and social inclusion. We promoted ICT intergenerational workshops and chose the case study methodolog y to study three distinct cases of intergenerational learning with ICT. The results show that intergenerational learning with ICT contributes to the digital literacy of adults and seniors and fosters lifelong learning, active ageing, and understanding and solidarity among generations. We reveal the benefits of the intergenerational learning process for all participants and suggest some ways to achieve intergenerational learning through ICT in order to build more socially and digitally cohesive societies.

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Discovery of microRNAs (miRNAs) relies on predictive models for characteristic features from miRNA precursors (pre-miRNAs). The short length of miRNA genes and the lack of pronounced sequence features complicate this task. To accommodate the peculiarities of plant and animal miRNAs systems, tools for both systems have evolved differently. However, these tools are biased towards the species for which they were primarily developed and, consequently, their predictive performance on data sets from other species of the same kingdom might be lower. While these biases are intrinsic to the species, their characterization can lead to computational approaches capable of diminishing their negative effect on the accuracy of pre-miRNAs predictive models. We investigate in this study how 45 predictive models induced for data sets from 45 species, distributed in eight subphyla/classes, perform when applied to a species different from the species used in its induction. Results: Our computational experiments show that the separability of pre-miRNAs and pseudo pre-miRNAs instances is species-dependent and no feature set performs well for all species, even within the same subphylum/class. Mitigating this species dependency, we show that an ensemble of classifiers reduced the classification errors for all 45 species. As the ensemble members were obtained using meaningful, and yet computationally viable feature sets, the ensembles also have a lower computational cost than individual classifiers that rely on energy stability parameters, which are of prohibitive computational cost in large scale applications. Conclusion: In this study, the combination of multiple pre-miRNAs feature sets and multiple learning biases enhanced the predictive accuracy of pre-miRNAs classifiers of 45 species. This is certainly a promising approach to be incorporated in miRNA discovery tools towards more accurate and less species-dependent tools.