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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

An Investigation of Intrinsic and Extrinsic Motivations in Middle School Modern Band and Advanced Choir

Hwang, Shine S. 06 March 2019 (has links)
<p> The purpose of the study was to investigate intrinsic and extrinsic motivational factors that influence middle school students&rsquo; enrollment decisions in either alternative (Modern Band) or traditional (Advanced Choir) music ensembles, as well as to explore external influences (peers, parents/family members, and the music teacher) on students&rsquo; performance and learning skills. The data revealed that common intrinsic motivators described by students from both ensembles included interest in music, developing playing/singing skills and improving performance skills, emotions toward performing, desire of career and personal enjoyment, and self-encouragement. </p><p> The participants included two eighth-grade students enrolled in Modern Band and two eighth-grade students from Advanced Choir, and both ensembles were taught by the same teacher in the same school in an urban area on the West Coast. The results indicate whether the motivations were internal or external, different levels of impact were seen on each student regarding decision-making, learning process, and performance skills.</p><p>
2

Beginning Band Students' Familiarity with Method Book Repertoire as Predictor of Music Achievement

Turowski, Pamela L. 16 February 2018 (has links)
<p> The purpose of this research was to examine the potential relationship between students&rsquo; degree of familiarity with repertoire common to beginning band method books and aural-based music achievement after one year of study. Three research questions guided this study: (1) Which songs from the Familiar Repertoire Survey (FRS) are reported as being the most and least familiar to the sample? (2) For a familiar song, &ldquo;Lightly Row,&rdquo; can FRS scores predict (a) Familiar Music Achievement Singing Test (FMAST) scores, (b) Familiar Music Achievement Playing Test (FMAPT) scores, (c) Familiar Music Achievement Improvisation Singing Test (FMAIST) scores, and (d) Familiar Music Achievement Improvisation Playing Test (FMAIPT) scores? (3) For an unfamiliar song, &ldquo;Finish Line,&rdquo; can FRS scores predict (a) Unfamiliar Music Achievement Singing Test (UMAST) scores, (b) Unfamiliar Music Achievement Playing Test (UMAPT) scores, (c) Unfamiliar Music Achievement Improvisation Singing Test (UMAIST) scores, and (d) Unfamiliar Music Achievement Improvisation Playing Test (UMAIPT) scores? </p><p> Participants (<i>N</i> = 17) were fifth and sixth grade students enrolled in their second year of beginning band in a New Jersey elementary school. I created two measurement instruments: FRS, designed to gauge the breadth and depth of students&rsquo; familiarity with songs common to beginning band method books, and the Music Achievement Test (MAT) designed to measure aural-based music achievement in singing, playing by ear, and improvising on a familiar and unfamiliar song. </p><p> In the first session, participants completed FRS by listening to songs common to beginning band books and completing a Likert-type survey on their familiarity with each song. Later, participants watched MAT through an interactive video which prompted them to complete eight musical subtests. I recorded all performances. Judges rated each performance with two rating scales. </p><p> I analyzed the frequency of responses for each song and found &ldquo;Hot Cross Buns,&rdquo; &ldquo;Jingle Bells,&rdquo; &ldquo;Pierrot,&rdquo; &ldquo;Lightly Row,&rdquo; and &ldquo;London Bridge&rdquo; to be the most familiar songs. Through linear regressions, I analyzed the ability of FRS to predict MAT scores. I found a significant regression equation between FRS and its ability to predict FMAST scores and UMAIST scores. </p><p> The current exploratory study contained many limitations which restricts its generalizability to other beginning band populations; however, six conclusions can be made. Familiarity with common beginning band repertoire as represented by a selection of 24 songs common to beginning band method books does not predict students&rsquo; achievement (a) singing an unfamiliar song, (b) demonstrating through singing improvisation based on a familiar song, (c) playing by ear a familiar or unfamiliar song, and (d) improvising on an instrument, whether improvising within the context of a familiar or unfamiliar song. Familiarity with common beginning band repertoire does predict students&rsquo; achievement (a) singing a familiar song and (b) demonstrating through singing improvisation based on an unfamiliar song.</p><p>
3

Background Music and Cognitive Learning Effects in Mathematics with Middle School Students

Weiss, Mary Roy 04 April 2015 (has links)
<p> This quasi-experimental research study examined the cognitive effects of background music used with middle school students during mathematics classes and mathematics testing. Eight schools, nine teachers, 23 classes, and 302 students participated in the project. A series of five compact discs of Mozart selections, a specifically selected composite of 12 CD albums, was used over a period of 10 class days and one testing day. The tests were teacher-designed for use during the regular regimen of testing for their specific classes. The conditions of music and no-music were reversed so students were their own controls. Results showed a nonstatistical gain overall; however, sixth grade females had a net music gain that superseded all other male and female groupings. In addition, an incremental gain was found with those who had played instruments. Other gains/losses were noted for these conditions: if students liked or did not like background music during classes and testing, if they liked or did not like listening to music while doing homework, if they liked singing or not, and whether they felt that the music was a help or hindrance to their attention, concentration, and/or distraction. The students' perspectives concerning the quasi-experiment were reported as supplemental qualitative data which included impressions about the experiment, opinions about the experience they had, and suggestions for future experiments.</p>

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