Matching Items (109)
Description
Theatre for social change, or more generally, theatre that addresses political issues in a community, often leans on participation as a way of democratizing the theatrical space and opening the conversational floor to more than just the traditional creative team. In practice, participatory theatre nonetheless can and has been used as a tool of propaganda rather than a tool for democratic social change. These seemingly-incompatible applications of participation in political theatre present a problem for those who want to use it: what versions of participatory theatre provide a space for other voices, and what versions of participatory theatre ostensibly appear to, but ultimately only function as tools to justify an ideology? To explore this question I examine a common form of participatory theatre: interactive theatrical trials. Specifically, I analyze the agitation trials of post-revolutionary and early Soviet Russia using Augusto Boal's frameworks from his devlopment of Theatre of the Oppressed.
ContributorsMoore, Daniel Elijah (Author) / McAvoy, Mary (Thesis director) / Hunt, Kristin (Committee member) / School of Music, Dance and Theatre (Contributor) / Department of Physics (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
The most important task for a beginning computer science student, in order for them to succeed in their future studies, is to learn to be able to understand code. One of the greatest indicators of student success in beginning programming courses is the ability to read code and predict its output, as this shows that the student truly understands what each line of code is doing. Yet few tools available to students today focus on helping students to improve their ability to read code. The goal of the random Python program generator is to give students a tool to practice this important skill.
The program writes randomly generated, syntactically correct Python 3 code in order to provide students infinite examples from which to study. The end goal of the project is to create an interactive tool where beginning programming students can click a button to generate a random code snippet, check if what they predict the output to be is correct, and get an explanation of the code line by line. The tool currently lacks a front end, but it currently is able to write Python code that includes assignment statements, delete statements, if statements, and print statements. It supports boolean, float, integer, and string variable types.
The program writes randomly generated, syntactically correct Python 3 code in order to provide students infinite examples from which to study. The end goal of the project is to create an interactive tool where beginning programming students can click a button to generate a random code snippet, check if what they predict the output to be is correct, and get an explanation of the code line by line. The tool currently lacks a front end, but it currently is able to write Python code that includes assignment statements, delete statements, if statements, and print statements. It supports boolean, float, integer, and string variable types.
ContributorsDiLorenzo, Kaitlyn (Author) / Meuth, Ryan (Thesis director) / Miller, Phillip (Committee member) / School of International Letters and Cultures (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
DescriptionA short film where female actresses are given the opportunity to play male Shakespeare roles breaking gender norms.
ContributorsLass, Alaina (Author) / Espinosa, Micha (Thesis director) / Hunt, Kristin (Committee member) / School of Community Resources and Development (Contributor) / School of International Letters and Cultures (Contributor) / School of Music, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
DescriptionA 4-part workshop series focused on giving educators an insight to Drama-based pedagogy and its benefits for boosting engagement.
ContributorsManzanet, Raquel Ariana (Author) / Brown, Abby (Thesis director) / Smith, Gina (Thesis director) / McAvoy, Mary (Committee member) / School of Music, Dance and Theatre (Contributor) / Division of Teacher Preparation (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
DescriptionAn auto-ethnographic overview of the author's personal experiences in professional and educational stage management in Arizona. Provides a critique of ASU's stage management program and offers solutions to improve the sustainability and safety of student stage managers.
ContributorsMattson, Jordan Clare (Author) / Hunt, Kristin (Thesis director) / Kirkham, William (Committee member) / School of Music, Dance and Theatre (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
This project describes the process of creating an arrangement of Gustav Holst's "Second Suite in F for Military Band," to include the oboe d'amore. The oboe d'amore is a member of the oboe family which is not often used in the modern day. Also included are a score, 5 individual parts, and a digital audio file of the arrangement.
ContributorsJones, Katherine (Author) / Schuring, Martin (Thesis director) / Micklich, Albie (Committee member) / School of Music, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
Even in the largest public university in the country, computer related degrees such as Computer Science, Computer Systems Engineering and Software Engineering have low enrollment rates and high dropout rates. This is interesting because the careers that require these degrees are marketed as the highest paying and most powerful. The goal of this project was to find out what the students of Arizona State University (ASU) thought about these majors and why they did or did not pick them. A total of 206 students were surveyed from a variety of sources including upper level classes, lower level classes and Barrett, the Honors College. Survey questions asked why the students picked their current major, if they had a previous major and why did they switch, and if the students had considered one of the three computer related degrees. Almost all questions were open ended, meaning the students did not have multiple choice answers and instead could write as short or as long of a response as needed. Responses were grouped based on a set of initial hypotheses and any emerging trends. These groups were displayed in several different bar graphs broken down by gender, grade level and category of student (stayed in a computer related degree, left one, joined one or picked a non-computer related degree). Trends included students of all grade levels picking their major because they were passionate or interested in the subject. This may suggest that college students are set in their path and will not switch majors easily. Students also reported seeing computer related degrees as too difficult and intimidating. However, given the low (when compared to all of ASU) number of students surveyed, the conclusions and trends given cannot be representative of ASU as a whole. Rather, they are just representative of this sample population. Further work on this study, if time permitted, would be to try to survey more students and question some of the trends established to find more specific answers.
ContributorsMeza, Edward L (Author) / Meuth, Ryan (Thesis director) / Miller, Phillip (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
This thesis dives into the world of artificial intelligence by exploring the functionality of a single layer artificial neural network through a simple housing price classification example while simultaneously considering its impact from a data management perspective on both the software and hardware level. To begin this study, the universally accepted model of an artificial neuron is broken down into its key components and then analyzed for functionality by relating back to its biological counterpart. The role of a neuron is then described in the context of a neural network, with equal emphasis placed on how it individually undergoes training and then for an entire network. Using the technique of supervised learning, the neural network is trained with three main factors for housing price classification, including its total number of rooms, bathrooms, and square footage. Once trained with most of the generated data set, it is tested for accuracy by introducing the remainder of the data-set and observing how closely its computed output for each set of inputs compares to the target value. From a programming perspective, the artificial neuron is implemented in C so that it would be more closely tied to the operating system and therefore make the collected profiler data more precise during the program's execution. The program is designed to break down each stage of the neuron's training process into distinct functions. In addition to utilizing more functional code, the struct data type is used as the underlying data structure for this project to not only represent the neuron but for implementing the neuron's training and test data. Once fully trained, the neuron's test results are then graphed to visually depict how well the neuron learned from its sample training set. Finally, the profiler data is analyzed to describe how the program operated from a data management perspective on the software and hardware level.
ContributorsRichards, Nicholas Giovanni (Author) / Miller, Phillip (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This research ventures to adjust the Algebra 2 Core Standards set by the Arizona Department of Education so that computer science concepts may be taught in parallel with the mathematical concepts in Algebra 2 in order to facilitate a better understanding of both subjects. The close relation to computer science and mathematics make this course possible. Students will be more prepared for university level education when they understand how technology works rather than simply how to use it. The solution is to create an online set of modules that can be taught alongside the high school mathematics course, Algebra 2. The solution contains a set of five modules that parallel with the Arizona core standards of the class. There are several obstacles that needed to be overcome in order to create online modules that would fit the needs of schools, students and teachers. This solution will reach students quickly as the hope is that it will become a requirement according to the Arizona Department of Education core standards. The course will be easily accessible to students as it is online and the course will fit into the existing education system, which would not require state laws to be passed in order to require the teaching of computer science. The goal is to bridge the gap between secondary education and college level S.T.E.M. education specifically in reference to computer science so that students start college with a strong understanding of how technology works in order to help them become more successful in the future.
ContributorsHickie, Kendall Shea (Author) / Miller, Phillip (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The goal of this project is to create a lesson book to guide teachers and beginner students through the first six months of teaching and learning and to create a strong base of knowledge the student can draw upon throughout their time playing the harp. This lesson book is organized in three distinct sections: Level 1, Level 2, and Level 3. The sections were named to levels to more accurately describe the difficulty of the exercises and content. The lessons are designed to occur once a week so that each section may take two months to complete for a total of six months. The timing of the lessons are ultimately up to the teacher and student, however, as some may need more time while others can progress faster. The lessons are planned to last about 30 minutes, as longer would be difficult for the young student to sit still and pay attention, although the length of the lesson is also up to the teacher and the student. Attached to the lessons are links to the pieces so that the teacher and student may hear how the piece sounds before playing it.
ContributorsMcAllister, Jacquelyn (Author) / Stauffer, Sandra (Thesis director) / Glasser, Scott (Committee member) / Barrett, The Honors College (Contributor) / School of Music, Dance and Theatre (Contributor) / Edson College of Nursing and Health Innovation (Contributor)
Created2023-12