138,257 research outputs found

    Instructional Basis of Libra

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    Contours of Inclusion: Inclusive Arts Teaching and Learning

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    The purpose of this publication is to share models and case examples of the process of inclusive arts curriculum design and evaluation. The first section explains the conceptual and curriculum frameworks that were used in the analysis and generation of the featured case studies (i.e. Understanding by Design, Differentiated Instruction, and Universal Design for Learning). Data for the cases studies was collected from three urban sites (i.e. Los Angeles, San Francisco, and Boston) and included participant observations, student and teacher interviews, curriculum documentation, digital documentation of student learning, and transcripts from discussion forum and teleconference discussions from a professional learning community.The initial case studies by Glass and Barnum use the curricular frameworks to analyze and understand what inclusive practices look like in two case studies of arts-in-education programs that included students with disabilities. The second set of precedent case studies by Kronenberg and Blair, and Jenkins and Agois Hurel uses the frameworks to explain their process of including students by providing flexible arts learning options to support student learning of content standards. Both sets of case studies illuminate curricular design decisions and instructional strategies that supported the active engagement and learning of students with disabilities in educational settings shared with their peers. The second set of cases also illustrate the reflective process of using frameworks like Universal Design for Learning (UDL) to guide curricular design, responsive instructional differentiation, and the use of the arts as a rich, meaningful, and engaging option to support learning. Appended are curriculum design and evaluation tools. (Individual chapters contain references.

    The Music of Borgesian Destiny in Saura\u27s El Sur

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    Carlos Saura’s El Sur was aired on Spanish television in 1993 as part of a series of six programmes based on selected short stories by Jorge Luis Borges. The entire set of these hour-long productions has recently been released on video by the Films for the Humanities, thereby granting easy availability to what thus far has been one of Saura’s most difficult to acquire, and consequently least known, films. Described in its opening credits as an ‘adaptación libre’, Saura’s El Sur differs considerably from Borges’ short story of the same name. This is not surprising given Saura’s long-standing refusal to serve as what he calls a mere ‘ilustrador’ of an already written text. A self-proclaimed auteur, Saura places his own personal stamp on all of his films, recasting original material to conform to his own vision of what it should be. Indeed, in a 1996 interview with Antonio Castro, Saura stated that his El Sur had been designed ‘para hacer un ensayo sobre Borges a través de un personaje interpuesto’, explaining that ‘a veces, he querido hacer una especie de ensayos cinematogra´ficos sobre un determinado personaje. Por ejemplo Lope de Aguirre, San Juan de la Cruz, Borges, Goya’. For each of his cinematic essays Saura extensively researches his subject’s life, but the resulting film does not take the form of a biography. Rather, as Saura goes on to say, ‘siempre es, más que un ensayo de toda su vida, un fragmento de su vida, que a mí me parece esencial, y que de algún modo explica su vida’. For El Dorado it is Lope de Aguirre’s expedition to Peru, for La noche oscura it is San Juan de la Cruz’s nine months of imprisonment in a convent in Toledo, for Goya en Burdeos it is the artist’s period of exile in France, and for Saura’s latest cinematic essay, Buñuel y la mesa del rey Salomón, it is the friendship forged between Buñuel, Dalí and Lorca as university students

    Toward “Reciprocal Legitimation” between Shakespeare’s Works and Manga

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    In April 2014, Nihon Hoso Kyokai (NHK: Japan Broadcasting Company) aired a short animated film titled “Ophelia, not yet”. Ophelia, in this animation, survives, as she is a backstroke champion. This article will attempt to contextualize the complex negotiations, struggles and challenges between high culture and pop culture, between Western culture and Japanese culture, between authoritative cultural products and radicalized counterculture consumer products (such as animation), to argue that it would be more profitable to think of the relationships between highbrow/lowbrow, Western/non-Western, male versus female, heterosexual versus non-heterosexual, not simply in terms of dichotomies or domination/subordination, but in terms of reciprocal enrichment in a never-ending process of mutual metamorphoses

    Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues

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    Recognizing scene text is a challenging problem, even more so than the recognition of scanned documents. This problem has gained significant attention from the computer vision community in recent years, and several methods based on energy minimization frameworks and deep learning approaches have been proposed. In this work, we focus on the energy minimization framework and propose a model that exploits both bottom-up and top-down cues for recognizing cropped words extracted from street images. The bottom-up cues are derived from individual character detections from an image. We build a conditional random field model on these detections to jointly model the strength of the detections and the interactions between them. These interactions are top-down cues obtained from a lexicon-based prior, i.e., language statistics. The optimal word represented by the text image is obtained by minimizing the energy function corresponding to the random field model. We evaluate our proposed algorithm extensively on a number of cropped scene text benchmark datasets, namely Street View Text, ICDAR 2003, 2011 and 2013 datasets, and IIIT 5K-word, and show better performance than comparable methods. We perform a rigorous analysis of all the steps in our approach and analyze the results. We also show that state-of-the-art convolutional neural network features can be integrated in our framework to further improve the recognition performance
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