The authors used machine learning to predict the presence of anxiety and burnout in students based on facial expressions and demographic information.
Read More...Identifying anxiety and burnout from students facial expressions and demographics using machine learning
The authors used machine learning to predict the presence of anxiety and burnout in students based on facial expressions and demographic information.
Read More...The effect of sports on teenagers’ depression symptoms during the COVID-19 pandemic
Here, seeking to identify the possible role of sports in helping teenagers navigate the troubles associated with societal changes during a pandemic, the authors surveyed 50 adolescents to collect Beck Depression Inventory scores. They found that 9 out of students with severe depressions did not do sports, while no significant relationship between depressive symptoms and either gender or place of exercise was observed.
Read More...The effect of workspace tidiness on schoolwork performance of high school students
In this study, the authors investigate the effect of disorganization and messiness on high school students' ability to perform well on a standardized test.
Read More...Analysis of Technology Usage of Teens: Correlating Social Media, Technology Use, Participation in Sports, and Popularity
Social media usage is predicted to impact teen well-being and emotional status. This study sought to assess the impact of teen technology usage on their social lives. Surveys of 8th and 9th graders were used to assess compare technology usage between males and females as well as and how social media usage impacts the perception of social environment at school.
Read More...English learner status in Florida public schools is correlated with significantly lower graduation rates
The authors explore factors affecting graduation rates of students learning English as a second language across Florida counties.
Read More...The frequency and psychological effects of name mispronunciation in an independent school
The authors survey high school students regarding the frequency of microaggressions such as name mispronunciation.
Read More...Exploring Political Discourse Among High School Journalists with Web Scraping and AI Technology
Here the authors provided greater coverage of adolescent stances by investigating the political perspectives and trends of high school journalists, utilizing web scraping methods and artificial intelligence (ChatGPT-4o) to analyze over 153,000 articles. They found that high school publications exhibit lower levels of political polarization compared to mainstream media and that journalists' views, while tending to lean moderately liberal, showed no significant correlation with local voting patterns.
Read More...Assessing large language models for math tutoring effectiveness
Authors examine the effectiveness of Large Language Models (LLMs) like BERT, MathBERT, and OpenAI GPT-3.5 in assisting middle school students with math word problems, particularly following the decline in math performance post-COVID-19.
Read More...The impact of attending a more selective college on future income
Debates around legacy preferences, recruited athletes, and affirmative action in U.S. college admissions often focus on the belief that graduating from a more selective institution leads to higher future earnings. The study hypothesized a positive correlation between college selectivity and future income due to enhanced resources and opportunities.
Read More...The effects of regeneration on memory in planarians
The authors test the ability of planarians to remember conditioned stimuli following regeneration.
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