Nature journaling in school gardens is a unique way to engage students in the natural world, providing time to notice, wonder, and observe through writing and drawing while engaging in environmental and sustainability learning. With the number of school gardens increasing in the United States, educators can benefit from understanding what students experience while participating in garden-based learning activities so they can adapt their teaching to fit the educational needs of their participants. School garden studies typically focus on measuring academic and health outcomes and nature journaling studies typically focus on educator experiences with one classroom. We facilitated a nature journaling study with four elementary classrooms in a public, Title I school in the desert southwest to explore student experiences while nature journaling in their school garden. Our findings show that nature journaling provides opportunities for students to engage in sustainability literacy by helping them to develop a sense of place in their school garden, inspire environmental stewardship, and practice systems thinking right outside their classrooms.

The field of radio broadcast requires the cohesion of several different skill sets in order to be a success. KHEA Radio has used a traditional form of teaching, which means taking a one-on-one approach. Taking this approach has worked for years in the past and has been the only option for teaching. The down side to this method of teaching is that it requires one seasoned employee to stop their work and take the time to train a new employee. Because of the significant void in the area of instructional content for radio sound engineering, my co-worker and I had to troubleshoot this console and basically teach ourselves its functions. I saw the need for better instructional content on the Internet and in print based on my own experiences. The skills used to create the following instructional content were gained from course work at Arizona State University. The graduate department of Technical Communication makes every effort to equip students with varied skills that can be applied to different fields within the overall scheme of technical communication. This guide serves as a tool for radio broadcast novices to learn the basics of sound board operation.

YourBrandPartner.com exists to provide content to those seeking specific advice and information on purchasing custom promotional items. For this investigation, I conducted a usability test with a select user group to identify user experience issues. The primary goal of this research was to conduct general usability testing through large group survey and a small in-person usability testing group. I designed surveys and tests to investigate if users experienced difficulties in finding the information they were looking for on the website. Based on the results of this study, I recommend reviewing the visual design of the website, increasing site speed, creating a better experience between the blog and e- commerce interactions, and creating an environment that is more accommodating of where the user is in the buying process. This full report includes expanded participant feedback, methodology behind the study, and full recommendations for improvement.

The purpose of this applied project was to research and recommend to Phoenix Children’s Hospital (PCH) improvements to their website in order to provide parents whose child has been newly diagnosed with cancer the most clear and appropriate health information. I conducted a study in order to analyze and evaluate the health information content currently provided to parents at PCH. This was done by through qualitative coding methods on both printed documents provided by The Emily Center Library, as well as interviews conducted with three Hematology/Oncology nurses at PCH. Additionally, I researched the current literature surrounding this topic in order to provide a background of information. Based on the results, I recommended that PCH offer parents a comprehensive cancer database in which all provided information would be searchable via their website. This database would also allow them to expand on their two topic focuses: home care and emotional support. Additionally, I recommended that parents are provided information on how to identify credible and non- credible sources on the Internet so that they can find information that is truly medically valuable when searching for information on their own. Lastly, I offered future recommendations that will require continued research so that PCH’s provided health information can continue to grow and improve.

Human activity recognition is the task of identifying a person’s movement from sensors in a wearable device, such as a smartphone, smartwatch, or a medical-grade device. A great method for this task is machine learning, which is the study of algorithms that learn and improve on their own with the help of massive amounts of useful data. These classification models can accurately classify activities with the time-series data from accelerometers and gyroscopes. A significant way to improve the accuracy of these machine learning models is preprocessing the data, essentially augmenting data to make the identification of each activity, or class, easier for the model. <br/>On this topic, this paper explains the design of SigNorm, a new web application which lets users conveniently transform time-series data and view the effects of those transformations in a code-free, browser-based user interface. The second and final section explains my take on a human activity recognition problem, which involves comparing a preprocessed dataset to an un-augmented one, and comparing the differences in accuracy using a one-dimensional convolutional neural network to make classifications.

In this thesis, I explored the interconnected ways in which human experience can shape and be shaped by environments of the future, such as interactive environments and spaces, embedded with sensors, enlivened by advanced algorithms for sensor data processing. I have developed an abstract representational experience into the vast and continual journey through life that shapes how we can use sensory immersion. The experimental work was housed in the iStage: an advanced black box space in the School of Arts, Media, and Engineering, which consists of video cameras, motion capture systems, spatial audio systems, and controllable lighting and projector systems. The malleable and interactive space of the iStage transformed into a reflective tool in which to gain insight into the overall shared, but very individual, emotional odyssey. Additionally, I surveyed participants after engaging in the experience to better understand their perceptions and interpretations of the experience. With the responses of participants' experiences and collective reflection upon the project I can begin to think about future iterations and how they might contain applications in health and/or wellness.

Classification in machine learning is quite crucial to solve many problems that the world is presented with today. Therefore, it is key to understand one’s problem and develop an efficient model to achieve a solution. One technique to achieve greater model selection and thus further ease in problem solving is estimation of the Bayes Error Rate. This paper provides the development and analysis of two methods used to estimate the Bayes Error Rate on a given set of data to evaluate performance. The first method takes a “global” approach, looking at the data as a whole, and the second is more “local”—partitioning the data at the outset and then building up to a Bayes Error Estimation of the whole. It is found that one of the methods provides an accurate estimation of the true Bayes Error Rate when the dataset is at high dimension, while the other method provides accurate estimation at large sample size. This second conclusion, in particular, can have significant ramifications on “big data” problems, as one would be able to clarify the distribution with an accurate estimation of the Bayes Error Rate by using this method.