Education has been at the forefront of many issues in Arizona over the past several years with concerns over lack of funding sparking the Red for Ed movement. However, despite the push for educational change, there remain many barriers to education including a lack of visibility for how Arizona schools are performing at a legislative district level. While there are sources of information released at a school district level, many of these are limited and can become obscure to legislators when such school districts lie on the boundary between 2 different legislative districts. Moreover, much of this information is in the form of raw spreadsheets and is often fragmented between government websites and educational organizations. As such, a visualization dashboard that clearly identifies schools and their relative performance within each legislative district would be an extremely valuable tool to legislative bodies and the Arizona public. Although this dashboard and research are rough drafts of a larger concept, they would ideally increase transparency regarding public information about these districts and allow legislators to utilize the dashboard as a tool for greater understanding and more effective policymaking.

Machine learning is a rapidly growing field, with no doubt in part due to its countless applications to other fields, including pedagogy and the creation of computer-aided tutoring systems. To extend the functionality of FACT, an automated teaching assistant, we want to predict, using metadata produced by student activity, whether a student is capable of fixing their own mistakes. Logs were collected from previous FACT trials with middle school math teachers and students. The data was converted to time series sequences for deep learning, and ordinary features were extracted for statistical machine learning. Ultimately, deep learning models attained an accuracy of 60%, while tree-based methods attained an accuracy of 65%, showing that some correlation, although small, exists between how a student fixes their mistakes and whether their correction is correct.

Textbooks have traditionally served as the primary educational resources in classes for decades. However, with the transition to online learning prompted by the onset of the COVID-19 pandemic, there has been a significant shift towards online learning materials. As the pandemic subsides, students, particularly those in engineering disciplines, have persisted in utilizing these alternative resources, prompting questions about their effectiveness and identifying the most suitable options. This study aims to uncover the underlying reasons for the decline in textbook usage and to identify the most effective resources for student learning. The study involved approximately 170 students enrolled in a Low Speed Aerodynamics course at Arizona State University (ASU). These students were invited to participate in a series of surveys after we introduced new changes to the course such as recitations, holistic grading, and an online interactive textbook. Around 40 students voluntarily responded to the surveys. Additionally, interviews were conducted with four professors to gather insights into why students may not be using textbooks, and to gather their opinions on recitations, the Connect software, and holistic grading, if they have incorporated these into their own courses. The survey findings revealed that although traditional textbooks offer detailed explanations to aid in grasping concepts, students often prefer alternative resources such as supplementary materials, recitations, and office hours for applying their knowledge to homework or tests. Holistic grading then provides meaningful feedback on the concepts they need to revisit after attempting to apply their understanding during tests. From our sur- vey, it is evident that reaching a definitive solution regarding textbook selection and identifying optimal resources remains challenging. Nevertheless, students ex- pressed a preference for interactions among peers and with professors, indicating that changes incorporating these elements were more favorably received. Further exploration into the continued implementation of holistic grading and recitations could provide insights into the enduring impact of the findings from this study over time.

The purpose of this study was to bring new information to the field of education research on<br/>graduation rates and school programming. Research on graduation rates and the effects of school<br/>programs exist, however there is not an abundance of research aimed specifically at Title I high<br/>schools. The goal was to find what school characteristics might impact graduation rates in this<br/>population. The thesis focused on Title I high schools in the Phoenix Union District with a<br/>graduating 2019 class of at least 250 students. This limited the effect of variability (school size,<br/>location, socioeconomic status). To research this topic, school characteristics were selected<br/>including course rigor, mentor programs, and college prep programs, as well as specific schools.<br/>To obtain the information, multiple sources were used including the Arizona Department of<br/>Education website, school websites, and school administrators/staff. The research revealed that<br/>the effect of course rigor, college prep programs, and mentorship on graduation rates in Phoenix<br/>Union High Schools is not apparent. Further research should be conducted into other possible<br/>causes for the gaps in graduation rates between the Title I high schools in this district. Future<br/>research on ELL students and programs in the Phoenix Union district and their effectiveness or<br/>lack thereof is also recommended. The research shows that this large demographic negatively<br/>correlates with the overall graduation rates at the six schools researched.

Augmented Reality (AR) especially when used with mobile devices enables the creation of applications that can help students in chemistry learn anything from basic to more advanced concepts. In Chemistry specifically, the 3D representation of molecules and chemical structures is of vital importance to students and yet when printed in 2D as on textbooks and lecture notes it can be quite hard to understand those vital 3D concepts. ARsome Chemistry is an app that aims to utilize AR to display complex and simple molecules in 3D to actively teach students these concepts through quizzes and other features. The ARsome chemistry app uses image target recognition to allow students to hand-draw or print line angle structures or chemical formulas of molecules and then scan those targets to get 3D representation of molecules. Students can use their fingers and the touch screen to zoom, rotate, and highlight different portions of the molecule to gain a better understanding of the molecule's 3D structure. The ARsome chemistry app also features the ability to utilize image recognition to allow students to quiz themselves on drawing line-angle structures and show it to the camera for the app to check their work. The ARsome chemistry app is an accessible and cost-effective study aid platform for students for on demand, interactive, 3D representations of complex molecules.

A Skunkworks project is the name given to a small team of individuals leading an innovative undertaking, and conducting research and development outside of the normal scope of an organization. With this concept in mind, our team of six individuals was tasked with finding and conceptualizing innovative solutions within varying business markets of interest. Our team started off with five markets that we identified issues in and were passionate about solving. These included Sports Engagement, Education, Student Debt, Digital Literacy, and Viral Health. From extensive research, trial and error, and endless conversations we settled on creating business models in two final areas: Student Debt and Viral Health. Our research in Student Debt led us to the discovery that the average Arizona State student, takes out $21,237 in loans for their four year degree and in the whole state of Arizona, a student takes on an average of $22,253. Our solution to this problem was to create a student financial app that served as an efficient debt tracker that provided important information about finances, investing, and student loan information. Additionally, our team also wanted the address the issue of sexually transmitted diseases, just a small scope of Viral Health, within Arizona State University. Our research led us to discover that 50% of people report not getting tested, and from this population most reported it was due to anxiety and financial issues. From our research the StayInformed app was created to provide students with better accessibility to both at-home and clinic testing services, and updated education on sexual health. With this project model we hope to increase the rate of students testing and allow students more agency over their sexual health. Although these two services are addressing very different markets, they both utilize forward thinking technology to create much needed solutions and better the lives of students.