Unsuk Chin (b.1961), a Korean-born woman composer, was a student of Gyorgy Sandor Ligeti (1923-2006). Chin's work reflects the influence of Ligeti but also undeniably has its own style. This study investigates the six piano etudes so far published from 12 Piano Etudes (1995-2003) by Unsuk Chin and compares them with Ligeti's piano etudes to highlight the influence of the teacher on the student and to aid pianists in facing the unique technical challenges posed by both sets of etudes. The practice guide provided in this study for each specific technical difficulty requires a degree of patience from a student which, if followed, will enhance the performance.

The purpose of this dissertation is to offer a pedagogical guide to Woodsprite and Waterbug Collection (1977) by Dan Beaty (1937-2002) through an analysis of its pedagogical values and teaching applications. This set consists of twelve short, intermediate-level pieces, featuring various contemporary idioms. Each piece is also pedagogically written to help intermediate students to refine specific pianistic techniques beyond the elementary level. In addition, Beaty's collection expands students' musical vision and musicianship for more advanced studies via the incorporation of contemporary music theory and techniques. These qualities make Woodsprite and Waterbug Collection a valuable tool for intermediate piano students. It is also useful for instructors searching for repertoire to introduce contemporary idioms. The author hopes that this study will encourage performers, teachers and scholars to consider this work and Beaty's other piano compositions. By studying Woodsprite and Waterbug Collection, students will be more appreciative of contemporary repertoire and will welcome learning similar pieces in the future.

Kaikhosru Shapurji Sorabji (1892-1988) was an English composer-pianist of Parsi descent. Although he composed many works for piano, these compositions remain largely unknown to the public due to the composer's self-imposed 40-year ban on public performances of all his works and the immense technical difficulty of his music. This research proposes a comparative study of Sorabji's two versions of Rapsodie espagnole de Maurice Ravel-Transcription de concert pour piano (1923, 1945). These transcriptions are based on Ravel's orchestral work and are different in terms of the style of their arrangements: the 1923 version is more of a literal transcription, whereas the 1945 version has been expanded upon the former. This dissertation compares the differences between the two versions, as well as identifying how Sorabji infused his own style into the 1945 transcription. This study relies on primary sources including writings and manuscripts of Sorabji, and secondary sources such as articles on interpreting Sorabji's piano works and biographies about Sorabji.

Weekly newspaper from Elgin, Texas that includes local, state, and national news along with advertising.

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Recent advancements in machine learning have started to put their mark on educational technology. Technology is evolving fast and, as people adopt it, schools and universities must also keep up (nearly 70% of primary and secondary schools in the UK are now using tablets for various purposes). As these numbers are likely going to follow the same increasing trend, it is imperative for schools to adapt and benefit from the advantages offered by technology: real-time processing of data, availability of different resources through connectivity, efficiency, and many others. To this end, this work contributes to the growth of educational technology by developing several algorithms and models that are meant to ease several tasks for the instructors, engage students in deep discussions and ultimately, increase their learning gains. First, a novel, fine-grained knowledge representation is introduced that splits phrases into their constituent propositions that are both meaningful and minimal. An automated extraction algorithm of the propositions is also introduced. Compared with other fine-grained representations, the extraction model does not require any human labor after it is trained, while the results show considerable improvement over two meaningful baselines. Second, a proposition alignment model is created that relies on even finer-grained units of …