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Effects Of Chair Testing In Orchestra On Student Motivation: Student Perspectives And Applications From Motivational Theories, Rosanna Christine Honeycutt
Effects Of Chair Testing In Orchestra On Student Motivation: Student Perspectives And Applications From Motivational Theories, Rosanna Christine Honeycutt
MSU Graduate Theses
The purpose of this descriptive study was to examine how string students perceive achievement on chair testing through the lens of attribution and achievement goal motivational self-theories. A teacher survey was administered to identify the goals of chair testing in two high school and seven middle school orchestra classrooms. A student survey was used to collect data in those same classrooms on (a) the reasons why students do and do not do well on chair tests, (b) the perceived goals of chair testing and (c) the ratings of motivation and self-achievement. Qualitative techniques were used to analyze attributions within both …
A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos
A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos
Senior Projects Fall 2020
Segmentation is a well-studied area of research for speech, but the segmentation of music has typically been treated as a separate domain, even though the same acoustic cues that constitute information in speech (e.g., intensity, timbre, and rhythm) are present in music. This study aims to sew the gap in research of speech and music segmentation. Musicians can discern where musical phrases are segmented. In this study, these boundaries are predicted using an algorithmic, machine learning approach to audio processing of acoustic features. The acoustic features of musical sounds have localized patterns within sections of the music that create aurally …