This study aims to explore the challenges that children with disabilities may face, such as discrimination, parental factors, and social interaction. Using information from the 2022 National Children’s Health Survey, my group and I cleaned and analyzed data, creating graphs to help visualize the daily challenges faced by these children. All data used in this research project consists of data from children ages 0-17 years old who fall into one of these categories: ADD/ADHD, Autism/Asperger’s Syndrome and Mental, Emotional or Developmental Disabilities. We began our research by looking at the children’s data from a surface-level perspective, such as looking at the way that they interact with food. We then moved on to looking at closer and more personal information such as home life and bullying/discrimination. By the end of the research project, my group and I were able to conclude with 3 main findings. First, children with autism were found to have the highest rate of picky eating habits, at 51.4 percent. Second, when looking at percentages of children who were discriminated against due to their disability, ADD/ADHD leads at 30.33 percent. Lastly, children with disabilities lead in all categories of parental factors, which includes having parents that are deceased, divorced or with drug abuse problems. Overall, the purpose of this research is to bring a larger awareness about the many struggles that children with disabilities face daily. This awareness could bring understanding towards child interaction, and bring knowledge about bullying and discrimination.

My research question is a pedagogical question that explores how different notions of provability can enhance one's mathematical reasoning and proof construction. I will closely study intuitionistic logic to better understand constructive proof techniques. Moreover, I will study classical logic, and in particular the limits of provability through Gödel's incompleteness theorems. By examining Boolos's book 'The Logic of Provability,' I will investigate how modal logic can provide a logical framework to analyze the provability of mathematical statements themselves, which offers insights on how logic can be used as a tool to reason about what's provable rather than just being able to prove mathematical statements directly.