Compulsory education and school laws were enacted in the British colonies of North America beginning from the 1640s. Compulsory school laws were gradually enacted in all states of the United States of America between 1852 and 1918, with enforcement of the laws following gradually and but unevenly in the various states. Today, most states require attendance up to age 16. Music was gradually introduced to the elementary school curriculum from the 1830s. Today, music is mandatory for all (general) students in Grades 1-6 in most schools and in some schools in Grades 7-8, and is an elective subject in most schools in Grades 7-12. General music classes in the U.S. are similar to compulsory music classes in many other countries. Approximately 25 percent of American public secondary school students participate in elective music performing ensembles, which are a distinctive and positive feature of American music education.

Europeans took their musical traditions with them when they moved to North America. Eventually, however, the United States became so large and diverse, with such deep democratic roots, that different ethnic musical strands emerged and then combined to form important new forms of popular music. By then electronic playback technology had arisen and the United States had become the most influential country in the world, both of which helped propel one of these new popular musics, rock and roll, throughout much of the world, much like Europe and its music dominated and proliferated during what musicians call the common practice period. Today, music teachers in the United States continue to be trained in the European-based art music tradition, but most of their work consists of teaching an array of musical styles to students of every imaginable ethnicity and background. These music educators tend to have dual professional identities: as classical musicians and as teachers of multiple styles of music.

||При преместването си в Северна Америка европейците взели със себе си и музикалните си традиции. В крайна сметка, обаче, Съединените щати дотолкова се разраснали и били различни – с дълбоки демократични корени, - че се появили различни музикални течения, а впоследствие се съчетали така, че да образуват нови форми на популярна музика. Към него момент технологията за електронен плейбек вече била развита и САЩ стават най-влиятелната страна в света, като тези два фактора помогнали за напредъка на един от тези нови популярни музикални жанрове – рокендролът – из по-големия дял на музикалния свят, до голяма степен по начина, по който Европа и нейната музика доминира и процъфтява по време на т.нар. от музикантите период на общата практика (common practice period). Днес учителите по музика в САЩ продължават да бъдат обучавани според базираната в Европа традиция на художествената музика, но в по-голямата си част работата им се състои от преподаване на студентите на спектър от музикални стилове от всяка етничност и произход, които можем да си представим. Тези музикални педагози обикновено имат двойствена професионална идентичност: те са класически музиканти и учители по множество музикални стилове.

Graph pebbling is a network optimization model for transporting discrete resources that are consumed in transit: the movement of 2 pebbles across an edge consumes one of the pebbles. The pebbling number of a graph is the fewest number of pebbles t so that, from any initial configuration of t pebbles on its vertices, one can place a pebble on any given target vertex via such pebbling steps. It is known that deciding whether a given configuration on a particular graph can reach a specified target is NP-complete, even for diameter 2 graphs, and that deciding whether the pebbling number has a prescribed upper bound is Π[P over 2]-complete. On the other hand, for many families of graphs there are formulas or polynomial algorithms for computing pebbling numbers; for example, complete graphs, products of paths (including cubes), trees, cycles, diameter 2 graphs, and more. Moreover, graphs having minimum pebbling number are called Class 0, and many authors have studied which graphs are Class 0 and what graph properties guarantee it, with no characterization in sight. In this paper we investigate an important family of diameter 3 chordal graphs called split graphs; graphs whose vertex set can be partitioned into a clique and an independent set. We provide a formula for the pebbling number of a split graph, along with an algorithm for calculating it that runs in O(n[superscript β]) time, where β = 2ω/(ω + 1) [= over ∼] 1.41 and ω [= over ∼] 2.376 is the exponent of matrix multiplication. Furthermore we determine that all split graphs with minimum degree at least 3 are Class 0.

Text of paper presented at the first conference of the Greek Society for Music Education, held in Thessaloniki, Greece on June 26-28, 1998. It was one of a pair of papers presented as the Honor Guest Lecturer Addresses (the other being "Music Education in the U.S.A.: An Overview"). This item includes the English and Greek translations of the work. 

This paper describes the evolution of music in American public schools and universities. Included are some statistics on the number of elementary, middle, and high schools that offer each type of music instruction, including band, choir, orchestra, and music for general students. Also included are some discussions on the evolution of university music programs. The paper concludes with a description of the new national voluntary standards for music education, and some assessments of the strengths and weaknesses of American music education programs. 

This was part of a pair of papers presented as the Honor Guest Lecturer Addresses (the other being "Music Education Research in the U.S.A.: An Overview"). This item includes the English and Greek translations of the work. 

A two-part presentation from the ASU Library and Knowledge Enterprise Research Data Management Office. Presented at the 2023 Rocky Mountain Advanced Computing Consortium (RMACC).

Session 1: Data management planning is an integral step in the research data life cycle. Large amounts of data and lengthy code accompanying supercomputing runs are no exception. Planning before analysis will benefit research and the researcher by providing a clear strategy for collecting, storing, analyzing, and sharing the data at the end of the research cycle. Supercomputing can require significant storage beyond scratch space, but researchers typically need to be informed of what tools are appropriate and available. Framed within the planning phase of the life cycle, this presentation presents ASU’s Storage Selector as a quick and easy tool to find the most appropriate storage resources provided by the university to help researchers choose a proper storage and management solution for their research data at the right time in their project. We will also explore the DMP Tool, developed by the California Digital Library, which provides a resource-rich platform for writing data management plans, including institutional-specific guidance, feedback request, and public plans that can be used as guides.

Session 2: This presentation overviews the ongoing working relationship between the ASU Library Open Science and Scholarly Communication division, Research Data Management Office, and Research Computing. We will explore these teams’ interdisciplinary relationships and interdependence as the institution increasingly supports open science practices and initiatives. We will include case studies regarding the decision-making process, data-sharing decisions, and opportunities and challenges when transferring research data from a high-performance computing environment to the ASU Research Data Repository. Finally, we will share lessons learned as we intentionally shepherd research data from active project management and storage to final publication and preservation.

(Preprint.) Today's college and university learning landscapes are dynamic and
characterized by increased student demand for highly flexible and self-paced online learning opportunities. Recent fiscal conditions in higher education make learning landscape development more challenging due to finite resources and competing priorities. Similarly, academic libraries are experiencing substantial budget and staff reductions. Despite these trends, academic libraries are in a strong position to contribute to surrounding learning landscapes by expanding student online learning opportunities and promoting the critical use of information. Evolving learning technologies available for free or at low cost provide higher education and libraries with the tools to respond to this fluid environment.