Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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Description
The purpose of this creative thesis project is to create the framework of an educational class package based off of a course offered at Arizona State University. The course chosen for this project is an honors course titled Deductive Logic: Leadership and Management Techniques and is taught by Dean Kashiwagi, PhD. The class package is designed to be published over an online platform so students and professors from various institutions can access the material. Currently the platform is in its final stages of development and is slated to go live on July of 2014. The future development of the package will be geared towards facilitating interdisciplinary collaboration between institutions based off of course concepts.
ContributorsGunnoe, Jake Alan (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Del E. Webb Construction (Contributor)
Created2014-05
Description
Mindfulness-based stress reduction (MSBR) is a clinically standardized meditation process that has been shown to facilitate the treatment of a variety of mental and physical disorders. The known efficacy of mindfulness-based stress reduction is derived from research on participants who are defined as unhealthy in some form. The potential benefits of mindfulness-based stress reduction for individuals who are considered to be healthy is under-studied, as less attention has gone into this subject area. Information Measurement Theory is a predictive theory that simplifies reality, and through this logical simplification, allows people to predict and see into the future. The concepts that are central to Information Measurement theory are natural laws, unique conditions, and relationships of unique conditions between the past, present, and future and the event model. This project aims to answer the question of if individuals, who are considered to be healthy, experience the same beneficiary results, that mindfulness-based stress reduction models execute, through the conception and knowledge of Information Measurement Theory. This study aims to compare MBSR and IMT in order to determine the consequences of each on the individual. The purpose of this study is also to highlight the promising success that Leadership Society of Arizona has achieved through the teaching of IMT in leadership courses.
ContributorsPirotte, Genevieve Katherine (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The purpose of this research paper is to examine the current state of Arizona's public K-12 education system and offer tangible solutions to improve it. An overview of the state's educational funding and performative rankings reveals a deeply disadvantaged system that especially disadvantages low income students. Arizona continually ranks in the bottom quartile in the nation for both K-12 performance and public education spending. By examining the best practices employed by some of the highest-ranking school systems in the world and reconfiguring them to fit Arizona, the state can significantly improve its national and international rankings. Research was conducted into four Scandinavian countries and four Southeast Asian countries selected based on 2016 K-12 Achievement Scores, Gross National Happiness Index, National 2016 Social Progress Index, and the 2016 Social Mobility Index as follows: Finland, Belgium, Netherlands, Switzerland, Singapore, Japan, South Korea, and China (Hong Kong). After dissecting each countries' public school characteristics and funding formula, it was clear that each block of countries offered different solutions to the problems presented by Arizona's current educational climate. Namely increasing the efficacy of social welfare programs that directly impact low income students in K-12, improving statewide teacher certification standards, modeling the school year to be more like Southeast Asian countries to reduce summer learning loss, and facilitating an "educational culture" similar to that of Japan.
ContributorsBentley, Jackson Christopher (Author) / Kashiwagi, Dean (Thesis director) / Katherine, Clemens (Committee member) / School of Historical, Philosophical and Religious Studies (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Computational thinking, the fundamental way of thinking in computer science, including information sourcing and problem solving behind programming, is considered vital to children who live in a digital era. Most of current educational games designed to teach children about coding either rely on external curricular materials or are too complicated to work well with young children. In this thesis project, Guardy, an iOS tower defense game, was developed to help children over 8 years old learn about and practice using basic concepts in programming. The game is built with the SpriteKit, a graphics rendering and animation infrastructure in Apple’s integrated development environment Xcode. It simplifies switching among different game scenes and animating game sprites in the development. In a typical game, a sequence of operations is arranged by players to destroy incoming enemy minions. Basic coding concepts like looping, sequencing, conditionals, and classification are integrated in different levels. In later levels, players are required to type in commands and put them in an order to keep playing the game. To reduce the difficulty of the usability testing, a method combining questionnaires and observation was conducted with two groups of college students who either have no programming experience or are familiar with coding. The results show that Guardy has the potential to help children learn programming and practice computational thinking.
ContributorsWang, Xiaoxiao (Author) / Nelson, Brian C. (Thesis advisor) / Turaga, Pavan (Committee member) / Walker, Erin (Committee member) / Arizona State University (Publisher)
Created2017
Description
Education is a very sensitive topic when it comes to implementing the right policies. From professionals well-versed in the topic, to the very students who are being taught, feedback for reform is constantly being addressed. Nonetheless, there remains a large gap between the performance of some of the most advanced countries in the world and the United States of America. As it stands today, USA is arguably the most technologically advanced country and the outright leader of the free market. For over a century this nation has been exceeding expectations in nearly every industry known to man and aiding the rest of the world in their endeavors for a higher standard of living. Yet, there seems to be something critically wrong with the way a large majority of the younger generation are growing up. How can a country so respected in the world fall so far behind in what is considered the basics of human education: math and science? The Trends in International Mathematics and Science Study (TIMSS) is a series of assessments taken by countries all around the world to determine the strength of their youth's knowledge. Since its inception in 1995, TIMSS has been conducted every four years with an increasing number of participating countries and students each time. In 1999 U.S. eighth-graders placed #19 in the world for mathematics and #18 for science (Appendix Fig. 1). In the years following, and further detailed in the thesis, the U.S. managed to improve the overall performance by a small margin but still remained a leg behind countries like Singapore, Hong Kong, Japan, Russia, and more. Clearly these countries were doing something right as they consistently managed to rank in the top tier. Over the course of this paper we will observe and analyze why and how Singapore has topped the TIMSS list for both math and science nearly every time it has been administered over the last two decades. What is it that they are teaching their youth that enables them to perform exceptionally above the norm? Why is it that we cannot use their techniques as a guideline to increase the capabilities of our future generations? We look to uncover the teaching methods of what is known as Singapore Math and how it has helped students all over the world. By researching current U.S. schools that have already implemented the system and learning about their success stories, we hope to not only educate but also persuade the local school districts on why integrating Singapore Math into their curriculum will lead to the betterment of the lives of thousands of children and the educational threshold of this great nation.
ContributorsKichloo, Parth (Co-author) / Leverenz, Michael (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Rivera, Alfredo (Committee member) / Department of Management (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The two authors completed the entirety of their schooling within the United States, from preschool to university. Both authors experienced loss of interest towards their education each successive year and assumed the nature of learning and education was to blame. The two students took a class on the Kashiwagi Information Measurement Theory their second years at Arizona State University and applied the concepts taught in that class to past experiences in the United States education system to determine the cause behind their waning interest in their education. Using KSM principles the authors identified that the environment produced by and ineffectual and inefficient educational system is what resulted in their, and the majority of their peers, growing dissatisfaction in their education. A negative correlation was found between GPA and control. As the control in a students environment increased, their GPA decreased. The data collected in this thesis also supports the conclusions that as a student is exposed to a high stress environment, their GPA and average amount of sleep per night decrease.
ContributorsKulanathan, Shivaan (Co-author) / Westlake, Kyle (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Gunnoe, Jake (Committee member) / Computer Science and Engineering Program (Contributor) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Advancements in mobile technologies have significantly enhanced the capabilities of mobile devices to serve as powerful platforms for sensing, processing, and visualization. Surges in the sensing technology and the abundance of data have enabled the use of these portable devices for real-time data analysis and decision-making in digital signal processing (DSP) applications. Most of the current efforts in DSP education focus on building tools to facilitate understanding of the mathematical principles. However, there is a disconnect between real-world data processing problems and the material presented in a DSP course. Sophisticated mobile interfaces and apps can potentially play a crucial role in providing a hands-on-experience with modern DSP applications to students. In this work, a new paradigm of DSP learning is explored by building an interactive easy-to-use health monitoring application for use in DSP courses. This is motivated by the increasing commercial interest in employing mobile phones for real-time health monitoring tasks. The idea is to exploit the computational abilities of the Android platform to build m-Health modules with sensor interfaces. In particular, appropriate sensing modalities have been identified, and a suite of software functionalities have been developed. Within the existing framework of the AJDSP app, a graphical programming environment, interfaces to on-board and external sensor hardware have also been developed to acquire and process physiological data. The set of sensor signals that can be monitored include electrocardiogram (ECG), photoplethysmogram (PPG), accelerometer signal, and galvanic skin response (GSR). The proposed m-Health modules can be used to estimate parameters such as heart rate, oxygen saturation, step count, and heart rate variability. A set of laboratory exercises have been designed to demonstrate the use of these modules in DSP courses. The app was evaluated through several workshops involving graduate and undergraduate students in signal processing majors at Arizona State University. The usefulness of the software modules in enhancing student understanding of signals, sensors and DSP systems were analyzed. Student opinions about the app and the proposed m-health modules evidenced the merits of integrating tools for mobile sensing and processing in a DSP curriculum, and familiarizing students with challenges in modern data-driven applications.
ContributorsRajan, Deepta (Author) / Spanias, Andreas (Thesis advisor) / Frakes, David (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Realistic lighting is important to improve immersion and make mixed reality applications seem more plausible. To properly blend the AR objects in the real scene, it is important to study the lighting of the environment. The existing illuminationframeworks proposed by Google’s ARCore (Google’s Augmented Reality Software Development Kit) and Apple’s ARKit (Apple’s Augmented Reality Software Development Kit) are computationally expensive and have very slow refresh rates, which make them incompatible for dynamic environments and low-end mobile devices. Recently, there have been other illumination estimation frameworks such as GLEAM, Xihe, which aim at providing better illumination with faster refresh rates. GLEAM is an illumination estimation framework that understands the real scene by collecting pixel data from a reflecting spherical light probe. GLEAM uses this data to form environment cubemaps which are later mapped onto a reflection probe to generate illumination for AR objects.
It is noticed that from a single viewpoint only one half of the light probe can be observed at a time which does not give complete information about the environment. This leads to the idea of having a multi-viewpoint estimation for better performance. This thesis work analyzes the multi-viewpoint capabilities of AR illumination frameworks that use physical light probes to understand the environment. The current work builds networking using TCP and UDP protocols on GLEAM. This thesis work also documents how processor load sharing has been done while networking devices and how that benefits the performance of GLEAM on mobile devices. Some enhancements using multi-threading have also been made to the already existing GLEAM model to improve its performance.
ContributorsGurram, Sahithi (Author) / LiKamWa, Robert (Thesis advisor) / Jayasuriya, Suren (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2022