Browse Articles

The authors survey high school students regarding the frequency of microaggressions such as name mispronunciation.

The authors analyze political endorsement patterns and impacts from the 2018 and 2020 midterm elections and find that such endorsements may be predictable based on the ideological and demographic factors of the endorser.

In the modern world, communication and mobility are no longer obstacles. A natural consequence is that people from all over the world are mixing like never before and national identity can no longer be determined simply by a person's appearance or manner of speech. In this article, the authors study how a person's accent interferes with the perception of a their national identity and proposes ways to eliminate such biases.

Here, the authorized analyzed data from the Florida Department of Education Office of Safe Schools regarding disciplinary outcomes in Collier County public schools. They reported that Black Students were more likely to receive both in-school and out-of-school suspensions than White students, which they concluded suggests racial inequities in school discipline that requires addressing as a society.

This article helps in understanding the effect of various social determinants on maternal mortality in the United States. It explains the relationship between maternal mortality rates and factors like race, income, education, and health insurance access.

A small town with low crime rates and relatively high education levels usually gives the perception of a safe and comfortable community. This study explored the connection between this perception, as defined by public opinion, and reality, as defined by US Census and FBI crime data.

The authors investigate how improper disposal of medication can be mitigated through community education efforts.

The authors investigate the effects of popular media consumption on the public's opinion on nuclear power. They find that regardless of education level or positive/negative bias of the article, participants are willing to modify their opinions on nuclear power after consuming a single article.

Every year, around 40% of undergraduate students in the United States discontinue their studies, resulting in a loss of valuable education for students and a loss of money for colleges. Even so, colleges across the nation struggle to discover the underlying causes of these high dropout rates. In this paper, the authors discuss the use of machine learning to find correlations between the built environment factors and the retention rates of colleges. They hypothesized that one way for colleges to improve their retention rates could be to improve the physical characteristics of their campus to be more pleasing. The authors used image classification techniques to look at images of colleges and correlate certain features like colors, cars, and people to higher or lower retention rates. With three possible options of high, medium, and low retention rates, the probability that their models reached the right conclusion if they simply chose randomly was 33%. After finding that this 33%, or 0.33 mark, always fell outside of the 99% confidence intervals built around their models’ accuracies, the authors concluded that their machine learning techniques can be used to find correlations between certain environmental factors and retention rates.

In cognitive psychology, typed responses are used to assess thinking skills and creativity, but research on factors influencing typing speed is limited. This study examined how language familiarity affects typing speed, hypothesizing that familiarity with a language would correlate with faster typing. Participants typed faster in English than Latin, with those unfamiliar with Latin showing a larger discrepancy between the two languages, though Latin education level did not significantly impact typing speed, highlighting the role of language familiarity in typing performance.