This study examines the impact of Artificial Intelligence (AI) use on the learning behaviors of higher education students in the United States. The rapid growth and adoption of AI stresses the need for a balanced use of AI tools within higher education. The literature review highlights the concerns of AI dependency and the potential decline in students’ active learning and autonomy. The hypothesis suggests AI use is associated with a decrease in active learning and an increase in passive learning and laziness among students. The data was collected via survey, incorporating qualitative and quantitative data used to analyze responses from 64 higher education students across the U.S. The findings of the linear regression analysis indicate that AI use is associated with a decrease in active learning behaviors and an increase in passive learning, as well as laziness among higher-education students. This study emphasizes the need for a balanced and careful incorporation of AI tools within education systems. As AI rapidly grows, changes in educational law and regulations need to be made to reflect its impact on this sector. Adapting educational frameworks to account for AI’s influence will be essential in maximizing its benefits while mitigating potential drawbacks.

We obtained the “Rates of COVID-19 Cases and Deaths by Vaccination Status” collected from March 2021 to July 2022 data set from the Centers for Disease Control and Prevention (CDC) website to study the efficiency of COVID-19 vaccinations in preventing COVID-19 deaths within different age groups. The data set consists of 1,295 observations and 16 variables, in which the dependent variable is the COVID-19 outcome. The independent variables that we focus on for our study are age groups, vaccine products, and the fully vaccinated population. Research Question: Are COVID-19 vaccinations efficient in preventing COVID-19 deaths within age groups?

The Covid pandemic has affected the global world. One of the major effects was seen in workplaces. Many companies have since moved partially or fully remote, especially the software industry. Using our survey-based dataset, we will analyze COVID-19 and its effects on the software industry.