5 resultados para PHOTOGRAPHY ARTISTIC

em Digital Commons at Florida International University


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For the Chinese, fine art is one of the most important items in human life. The goals of fine arts education enhance the student so that s/he can make reasonable judgments about work, gain knowledge of color and understand the process of designing environmental layouts. Related technique and creativity training are offered students in accordance with individual differences and social expectations.^ Traditionally, Taiwan's junior high school fine art program teaches mainly painting technique. The Ministry of Education in Taiwan determines the curriculum of junior high school fine art education. The purpose of this study was to determine the effects of teaching Chinese painting appreciation on the artistic achievements of junior high school students in Taiwan. The subjects were seventh grade students who had never learned Chinese painting before. Two classes were randomly chosen from each target school and were designated as the experimental or control group. Instruction in all groups was delivered by the researcher himself. At the end of the study, data about subjects' related knowledge, creative technique, and feeling toward Chinese painting were systematically collected and analyzed.^ The result of the study was that students in the experimental group were more motivated to learn Chinese painting than were the students in the control group. Students in the experimental group made better progress in the development of creative skill, had better critical ability, and demonstrated better performance in Chinese painting form, set up, stroke and color of related knowledge than did students in the control group. It was therefore concluded that Chinese painting appreciation education can promote better artistic achievement and that this approach should be used in other areas of art education. ^

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This flyer promotes the event "The African Roots of Cuban Culture: Artistic and Religious Expressions, A Symposium", cosponsored by the Frost Art Museum and the African & African Diaspora Studies Program at FlU.

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Established as a National Park in 1980, Biscayne National Park (BISC) comprises an area of nearly 700 km2 , of which most is under water. The terrestrial portions of BISC include a coastal strip on the south Florida mainland and a set of Key Largo limestone barrier islands which parallel the mainland several kilometers offshore and define the eastern rim of Biscayne Bay. The upland vegetation component of BISC is embedded within an extensive coastal wetland network, including an archipelago of 42 mangrove-dominated islands with extensive areas of tropical hardwood forests or hammocks. Several databases and vegetation maps describe these terrestrial communities. However, these sources are, for the most part, outdated, incomplete, incompatible, or/and inaccurate. For example, the current, Welch et al. (1999), vegetation map of BISC is nearly 10 years old and represents the conditions of Biscayne National Park shortly after Hurricane Andrew (August 24, 1992). As a result, a new terrestrial vegetation map was commissioned by The National Park Service Inventory and Monitoring Program South Florida / Caribbean Network.

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Mapping of vegetation patterns over large extents using remote sensing methods requires field sample collections for two different purposes: (1) the establishment of plant association classification systems from samples of relative abundance estimates; and (2) training for supervised image classification and accuracy assessment of satellite data derived maps. One challenge for both procedures is the establishment of confidence in results and the analysis across multiple spatial scales. Continuous data sets that enable cross-scale studies are very time consuming and expensive to acquire and such extensive field sampling can be invasive. The use of high resolution aerial photography (hrAP) offers an alternative to extensive, invasive, field sampling and can provide large volume, spatially continuous, reference information that can meet the challenges of confidence building and multi-scale analysis.