Typically, beginning teachers need proper support as they transition to the classroom to be successful; they may not have the specialized skills and knowledge to teach mathematics effectively. Induction programs are designed ...

The purpose of this Creative Thesis Project is to see if ancient Greek myths and their many themes and retellings can be modernized and put into a lyrical and musical format and still retain their true meanings as well as ...

Zea mays is one of the most highly produced crops in the world. It plays a big role in food security, fuel production, and economic stability. A factor that contributes to the production cost and yield of Zea mays is its ...

This paper provides a brief overview of classical music's value in society with primary focus on the decline of music appreciation among modern audiences. This issue is complicated by the decline of arts education programs, ...

This study examines how the “new wave” of female rappers use misogyny and hegemonic masculinity in their lyrics through a hip-hop feminism framework. The researcher conducted a content analysis on the top 5 songs of Megan ...

The trickery behind foley is often never considered by general visual media audiences. Rarely is the sound effect heard caused by the actual object or action on screen. After many years of blind association, however, the ...

This thesis takes a critical look at Albert Camus’ The Stranger and Joseph Heller’s Catch-22 as two works in a new proposed subgenre of literature: the absurd legal novel. The Stranger’s court system relies on an ...

Using an understanding of rhetoric put forward by Kenneth Burke, one which emphasizes the role of identification in rhetorical interaction, this project examines the techniques used by Franklin Roosevelt to raise the ...

The primary purpose of this project is to examine the relationship of an individual student’s Grit score with his or her raw exam scores in an upper-level division accounting course. Each Grit score is measured based on ...

Humans encounter and adapt to novel situations every day. However, adaptation is not a trivial task to accomplish. In the field of machine learning, the statistical underpinnings of established deep learning architectures ...