We were inspired to complete this project because students of all grade levels are expected to follow a set of guidelines given by their schools. For instance, colleges have rules regarding dorm room conduct, cheating and plagiarism, dress code, and more. Sometimes, students break school rules because they are unaware of the school’s code of conduct. On the other hand, rules can be broken deliberately. The data set used for this project comes from data collected from a residential high school, but the similarity of their rules to a college, especially with cheating and plagiarism, make this project relevant to college students. Collecting and reporting on data regarding school infractions could give insight about causes of and solutions to breaking infractions. By helping schools properly adjust rule, the student community could served properly.
What it does
Our Tableau workbook provides data analysis and business intelligence on various types of infractions, including cheating, plagiarism, phone use, dormitory trespassing, and skipping class. These infractions are broken down into three categories: how often each rule is broken; the likelihood a student believes he or she will get caught violating each rule; and how severe the student believes the punishment will be. There are also variables on student demographics, including, grade level, gender, and living situation. Many of the visualizations focus on important relationships between variables. For instance, there are visualizations focusing on the relationship between instances of cheating with regards to the student’s gender, grade level, and living situation. Additionally, visualizations analyze the fear of demerits by gender, grade level, and living situation. Important questions can be answered from this analysis, such as: how do perceptions of rules differ by grade level, gender, or living situation; are there any demographic differences between students who frequently break the rules; are there inconsistencies in the enforcement of rules; and how can schools more effectively communicate the rules the their students.
How we built it
Challenges we ran into
We had difficulty to find a proper dataset that meets our standard. Our team researched in depth about what we can visualize and analyze so benefit the community.
Accomplishments that we're proud of
We were able to create many stunning visualizations - starting from bar graphs to bubble charts.
What we learned
We were able to learn that when people are aware of the rules, they will believe that they will be caught cheating. Freshman-Juniors receiving demerits (punishments for violations) increase and drop down for Seniors.
What's next for Study of the perception of school rules among students.
We would like to analyze and visualize the cheating rate for university students and see how lockdown browser/ respondus monitor affects taking the exams.