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Exploring the Veil of Blackness is a creative project in the form of a podcast titled UKME America”. UKME America stands for Uwem mi Kederimbot America, which means “my life in the world in America”. It aims to explore the differences that divide individuals within the black community from a perspective of a First-Generation African American. It also illustrates how diverse the black community is. Drawing from my own experiences and research, this led me to a common theme centered around the following four questions: (a) what is it like to lose one’s identity; (b) where does this insecurity stem from; (c) how does society impact the way we view ourselves; and (d) how can we uplift ourselves. In my podcast, I interviewed individuals who identified as African Americans, First Generation African Americans, and Africans.
Everyone I interviewed told me their stories using historical, social, and cultural narratives. Overall, I want individuals to understand that there is fluidity behind the meaning of “black”, and the more individuals learn to embrace their differences, the more we can break down the barriers, put a united front, fight societal discrimination. I would like to thank my thesis director Dr. Neveser Köker and Second Committee Chair, Matthew Voorhees. I want to thank them for their guidance, motivation, patience, and for pushing and challenging me to reach new heights. I also would like thank my mom and Dr. Cynthia Patiño, for their constant encouragement and support. This would not have been possible without them.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
Then, I went back and used some of the feedback from the read-through to write another draft of the show. However, along the way, I took a few major creative turns and ended up with a story that was similar to the first draft in many ways but was ultimately a larger divergence than I originally anticipated. This was a blessing, as it forced me to re-evaluate multiple creative decisions I’d made and gave me two long-form stories with great potential to work with rather than just one. It also presented multiple opportunities to combine and enhance both ideas in order to write one strong story using both concepts. The beauty of this Creative Project is that my portfolio is much stronger for having completed it and I now have multiple paths to choose from to move this project forward in the future.
In the defense, I discussed the grueling process of actually writing these scripts, hosting a read-through as well as the possibilities for both stories in the future. We also discussed the possibility of taking these scripts and pitching them to companies like Samuel French and in hopes that they’re sold, licensed and performed in perpetuity. I’m grateful to my directors, Professors Jason Scott and Gregory Maday, for always pushing me and cutting me slack when I fell behind and to my friends and the wonderful support the Honors College has given me throughout the last four years.
To do this, a 4-week long pilot curriculum was created, implemented, and tested through an optional class at I Am Zambia, available to women who had already graduated from the year-long I Am Zambia Academy program. A total of 18 women ages 18-24 chose to enroll in the course. There were a total of 10 lessons, taught over 20 class period. These lessons covered four main computational thinking frameworks: introduction to computational thinking, algorithmic thinking, pseudocode, and debugging. Knowledge retention was tested through the use of a CS educational tool, QuizIt, created by the CSI Lab of School of Computing, Informatics and Decision Systems Engineering at Arizona State University. Furthermore, pre and post tests were given to assess the successfulness of the curriculum in teaching students the aforementioned concepts. 14 of the 18 students successfully completed the pre and post test.
Limitations of this study and suggestions for how to improve this curriculum in order to extend it into a year long course are also presented at the conclusion of this paper.
What is the purpose of making dishes that take a long time to make? With such easy access to food nowadays, is there any reason to put in the effort to make things from scratch? By testing and learning about recipes that require a long time to make, I try to answer the reason behind all the effort. In doing so, three main reasons were found. First was the tradition behind the recipe. The second was the useful nature of preservation. The third is the tastes that are developed in the process.
Samantha and Rachel both have a history in gifted education and wanted to create a safe space for the two of them and their peers to discuss the effects gifted/ accelerated education has had on them, specifically pertaining to burnout. To best dive into this matter, Gifted Kid Syndrome podcast was born! During which, our hosts interviewed students and professionals, allowing everyone to share their pasts, their hopes for the future, and what they’ve learned along the way regarding mental health, identity, education, and personal success.