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- Genre: Art--Study and teaching--Technological innovations.
- Genre: Music--Peru--History and criticism.
- Creators: Arizona State University
Description
Due to the recent inclusion of a semi-regular "News from Latin America" column since 2007 in The Clarinet magazine and an increased emphasis on world music genre performances at the International Clarinet Association's annual ClarinetFest, Latin American clarinet compositions have become increasingly popular. Consequently, Latin American performers and composers are receiving more attention and recognition than ever before. The contemporary repertoire for clarinet increasingly includes works highlighted at the ClarinetFest international festivals, and many clarinetists express interest in finding new Latin American compositions. In order to supplement this growing Latin American repertoire and to introduce the life and works of Peruvian composer Armando Guevara Ochoa (1926-2013), this project presents a brief biography of the composer, a discussion of his musical style, and new editions of his popular works transcribed for clarinet. A recording of these works is included in an appendix to this document. Prior to this research, much of the scholarship written about Guevara Ochoa was in Spanish. While most sources and scholars relate that Guevara Ochoa composed over 400 works, the whereabouts of fewer than 200 are currently known. This project will supplement Guevara Ochoa's clarinet literature and raise awareness of his compositions in English-speaking countries.
ContributorsPalmer, Katherine H (Author) / Spring, Robert (Thesis advisor) / Micklich, Albie (Committee member) / Norton, Kay (Committee member) / Solís, Ted (Committee member) / Hill, Gary (Committee member) / Arizona State University (Publisher)
Created2013
Description
The present study explored the use of augmented reality (AR) technology to support cognitive modeling in an art-based learning environment. The AR application used in this study made visible the thought processes and observational techniques of art experts for the learning benefit of novices through digital annotations, overlays, and side-by-side comparisons that when viewed on mobile device appear directly on works of art.
Using a 2 x 3 factorial design, this study compared learner outcomes and motivation across technologies (audio-only, video, AR) and groupings (individuals, dyads) with 182 undergraduate and graduate students who were self-identified art novices. Learner outcomes were measured by post-activity spoken responses to a painting reproduction with the pre-activity response as a moderating variable. Motivation was measured by the sum score of a reduced version of the Instructional Materials Motivational Survey (IMMS), accounting for attention, relevance, confidence, and satisfaction, with total time spent in learning activity as the moderating variable. Information on participant demographics, technology usage, and art experience was also collected.
Participants were randomly assigned to one of six conditions that differed by technology and grouping before completing a learning activity where they viewed four high-resolution, printed-to-scale painting reproductions in a gallery-like setting while listening to audio-recorded conversations of two experts discussing the actual paintings. All participants listened to expert conversations but the video and AR conditions received visual supports via mobile device.
Though no main effects were found for technology or groupings, findings did include statistically significant higher learner outcomes in the elements of design subscale (characteristics most represented by the visual supports of the AR application) than the audio-only conditions. When participants saw digital representations of line, shape, and color directly on the paintings, they were more likely to identify those same features in the post-activity painting. Seeing what the experts see, in a situated environment, resulted in evidence that participants began to view paintings in a manner similar to the experts. This is evidence of the value of the temporal and spatial contiguity afforded by AR in cognitive modeling learning environments.
Using a 2 x 3 factorial design, this study compared learner outcomes and motivation across technologies (audio-only, video, AR) and groupings (individuals, dyads) with 182 undergraduate and graduate students who were self-identified art novices. Learner outcomes were measured by post-activity spoken responses to a painting reproduction with the pre-activity response as a moderating variable. Motivation was measured by the sum score of a reduced version of the Instructional Materials Motivational Survey (IMMS), accounting for attention, relevance, confidence, and satisfaction, with total time spent in learning activity as the moderating variable. Information on participant demographics, technology usage, and art experience was also collected.
Participants were randomly assigned to one of six conditions that differed by technology and grouping before completing a learning activity where they viewed four high-resolution, printed-to-scale painting reproductions in a gallery-like setting while listening to audio-recorded conversations of two experts discussing the actual paintings. All participants listened to expert conversations but the video and AR conditions received visual supports via mobile device.
Though no main effects were found for technology or groupings, findings did include statistically significant higher learner outcomes in the elements of design subscale (characteristics most represented by the visual supports of the AR application) than the audio-only conditions. When participants saw digital representations of line, shape, and color directly on the paintings, they were more likely to identify those same features in the post-activity painting. Seeing what the experts see, in a situated environment, resulted in evidence that participants began to view paintings in a manner similar to the experts. This is evidence of the value of the temporal and spatial contiguity afforded by AR in cognitive modeling learning environments.
ContributorsShapera, Daniel Michael (Author) / Atkinson, Robert K (Thesis advisor) / Nelson, Brian C (Committee member) / Erickson, Mary (Committee member) / Arizona State University (Publisher)
Created2016