Ivy Online Academy has developed a series of cases that spans multiple disciplines in hopes that one case study catches the student's interest. By using established data from government organizations and published research articles, high school students will use the knowledge and techniques that they learned through our initial step (course on the research methods) to solve real-world problems. The current scope of our cases span from economics to sociology and will expand to different areas in the near future. Now, it is time to practice your data analysis skills and we can't wait to see what area catches your interest!
In this case study exercise, students will examine the relationship between education level and income over time. Students will access data from the US Census Bureau and the Bureau of Labor Statistics to compare occupation, education and income data. Students will learn how to determine if there is a causal relationship between educational level and income earned, as well as the income associated with different occupations. Students will further be able to compare the education level needed for a variety of occupations and the earning potential of those occupations.
Students will study the availability of hospital beds per state (AHD) or per country (OECD) to determine the readiness of a country to handle a widespread health crisis, such as the recent COVID-19 pandemic. They will compare the number of hospital beds to the overall population to see if countries are adequately prepared to handle future health emergencies.
Students will be given the option to study the machine learning's application in fields of finance, health (COVID-19), and history (titanic situation). They will explore options such as temperature prediction, titanic accident analysis, current pandemic estimations, and financial assumptions of credit. By strengthening their intuition for problems of this field, students can explore other problems with a similar mindset.
Students will explore the US Environmental Protection Agency Environmental Justice Screening Tool, which provides data on environmental indicators such as air pollutants and waste facilities and demographics, such as age, income, and education. Students will explore the relationship between pollution and environmental justice. They will explore environmental safety measures and determine areas that are safer locations for waste disposal.
Students will be able to observe and participate in the experiment with Trella™ professionals, and environmental data from the Trella™ greenhouses. Formulate hypotheses based on their initial observations and assessment. The students will then analyze the data, use the data to justify their proposed conclusions, and propose next steps in the research. Explore the the greenhouses and analyze with live data!
More Cases Studies will be uploaded soon!
Delve into the medical decision making that experts in the field have to combat in their daily life. Using provided clinical data, you will go through the procedure and give a patient treatment plan.
Research different proteins and their relevance to the medical field. Apply into programs and delve into drug design and how it fits in structural biology.
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