Illinois Mathematics and Science Academy
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Family Reading night 2023
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The Impact of Self-Management Programming on Gifted Student Perceptions of Sleep in a Residential Setting
Get PDFInsufficient sleep among high school students has become a pressing concern for its detrimental effects on academic performance, physical health, and mental wellness. This concern is amplified for students living away from their parents in a boarding school setting. The purpose of this action research study was to investigate and improve the sleep experience of gifted secondary students who live with their peers in a residential setting. Two cycles of data collection occurred. Participants in Cycle 1 were gifted secondary students who were enrolled at a residential school, as well as counselors and residential staff employed at the same institution. The data collected and analyzed from Cycle 1 informed the design of intervention action steps. Action steps, including a four-part, peer-facilitated social-emotional learning program focused on self-management skill building, were designed, implemented, and evaluated in Cycle 2 to understand how self-management skill building influenced student perceptions of sleep and sleep habits. Student facilitators, residential staff moderators, and student participants provided critical feedback that assisted in the evaluation process. The study concludes that residential secondary students crave institution-sanctioned structures and required ongoing support to build self-management habits. The findings also highlight the opportunity to evolve student and staff perceptions about sleep to disrupt adolescent norms and shift the campus culture. Implications for the organization include training for residential staff, implementing more structure during nonacademic time, and offering differentiated programming for students based on grade level to improve sleep habits and overall student health and well-being
Writing Educational Op-Eds That Engage: From Classroom Stories to Published Pieces
Get PDFThis session equips educators with the skills and structure to write effective op-ed pieces that translate their classroom insights and expertise into compelling written pieces. Participants will learn the essential components of op-ed writing, including structuring a 700-word piece, crafting engaging narratives, and developing clear theme statements. Through guided practice and analysis of published examples, participants will discover key principles of successful op-ed writing, from incorporating student stories to offering concrete solutions on timely educational issues. Helping Students Understand the Complexity of Ecological and Environmental Issues Through Use and Creation o
Bringing Data Science to Algebra: Hands-On Linear Regression with Google Sheets
Get PDFTeachers will be guided through a student project using Google Sheets to create scatter plots, residual plots, and trendlines while calculating residuals. They will explore SSR, -squared, and the coefficient of determination to interpret mode accuracy. Participants will leave with hands-on activity, datasets, and notes for classroom use, enabling students to analyze real-world data. This approach teaches linear regression, equipping students with analytical tools and introducing data science concepts while reinforcing algebra skills
NSF RET Program:Integrating ScienceCurriculum
Get PDFNSF RET Program offers teachers an opportunity to develop a science curriculum. The aim of the curriculum is to demonstrate how the integration of science develops science thinkers and allows students to participate in experimental learning through investigations. Instructor to get students thinking through alternative logics and to see how thought was formed in specific cultural and historical contexts
Systematic Framework to Analyze the Uncertainties of the Doubly Charged Higgs
No full textWe analyze signal and background for our doubly charged Higgs boson analysis using Monte Carlo simulations. The focus of this research is to model the uncertainties in our Monte Carlo simulations including rate systematics, which affect the overall normalization of the Monte Carlo, and shape systematics, which affect the shape of the distributions. The aim of the systematic framework is to combine all of the systematics and model the resulting distribution to understand the impact of the uncertainties on the measurement and improve the robustness of our statistical inferences. The data modeled is from the Compact Muon Solenoid (CMS) at the Large Hadron Collider (LHC)
Mechanism Exploration within SAM-RNA for Drug Immunity
No full textBreast cancer is one of the most rampant malignancies in women around the world. The treatment for breast cancer consists of, but is not limited to, surgery, chemotherapy, endocrine therapy, and radiotherapy. Tamoxifen and Paclitaxel are the cornerstones of endocrine therapy drugs and chemotherapy drugs, respectively. Drug resistance, which includes primary resistance and consecutive resistance, is the biggest reason for treatment failure. Treatment failure results in disease relapsing and metastasis. Therefore, it is very important to explore the mechanism of endocrine resistance and chemotherapy resistance in breast cancer. Previously we designed and constructed a RNA Library full of fragments consisting of random 19bp through molecular cloning. From there, we found that Sam RNA1 and Sam RNA7 may play important roles in drug resistance through preliminary experiments. The objectives of this project is to construct Sam RNA overexpressing drug-resistant cell lines of breast cancer, to explore the effect of Sam RNA1 and Sam RNA7 in Tamoxifen resistance and Paclitaxel resistance, and to explore the mechanism of Sam RNA1 and Sam RNA7 in drug resistance. Further, we will attempt to find predictors of drug immunity within these cell lines
SBHC’s Impact on Chicago Adolescents in the Area of Substance Use
No full textThis study examines the correlation between education and healthcare through the lens of School-Based Health Centers (SBHCs) in Chicago, exploring how these facilities may reflect neighborhood inequality. We analyze how SBHCs serve as indicators of the collective socioeconomic status and social cohesion of their surrounding communities, highlighting disparities among Chicago’s neighborhoods. Recent studies suggest that SBHCs play a crucial role in improving healthcare outcomes and reducing income-related disparities To evaluate this premise, we conducted focus groups, questionnaires (i.e., ORIC, AIM, FIM, and IAM), and demographic surveys with healthcare professionals working at Erie Health and Rush University Health SBHCs across Chicago. This approach allows us to document and analyze variations in resource allocation, service delivery, and health outcomes among these two health center operators. From the survey, we noticed that most Rush SBHC sites have basic resources, such as access to nurse practitioners, but some did not meet the higher-level needs. While some SBH sites lacked screening methods, others had multiple options. This indicates that, in differen areas, SBHCs under the same company can provide varying services. This project aims t provide insight into how SBHCs mirror broader patterns of urban inequality