Word Cloud

This word cloud is a compilation of the student’s experience with surveillance into word cloud form, which makes certain words larger depending on how many times it is used. I created this in Python in order to translate the students' qualitative experience into something that we can recognize and point out and create themes from.

Bar Graph

This Bar Graph represents a certain question in the AJL survey, "What is your comfort level with surveillance in your school?" African Americans are overrepresented in this graph but as we get more responses we would have a more balanced dataset.

Word Cloud

This word cloud is a compilation of the student’s thoughts on the surveillance in their schools in word cloud form. This word cloud is particularly interesting because it highlights student’s feelings in hundreds of different interpretable ways.

- Neutral Stance: A significant portion of African American students (35.1%) and Asian students (54%) felt neutral about the fairness of surveillance. Similarly, 40% of Hispanic/Latino students also held a neutral view.
- Agreement with Surveillance: Among Caucasian students, 33.3% agreed that surveillance is a fair way to discipline students.
- Strong Disagreement: Students of color, including African American, Asian, and Hispanic/Latino students, showed a higher percentage of strong disagreement with the fairness of surveillance compared to white students.
- Implications of Bias: The data suggests that students of color may have experienced biased disciplinary actions due to surveillance, reflecting broader systemic biases in school discipline practices.

The first chart we see represents the rate of how comfortable African/ black  feel with surveillance 

Now this chart represents the rate of how comfortable caucasian people feel with surveillance 

Now this chart represents the rate of how comfortable Asian people feel with surveillance

Pie Chart

- Findings on Awareness: The data revealed that African American students (73.8%) are significantly more aware of screen monitoring security measures like GoGuardian compared to Caucasian students (55.5%). This indicates a higher level of awareness among African American students about these security practices.
- Implications of Bias: The disparity in awareness suggests that schools with predominantly African American students may provide more in-depth explanations of security measures. This points to a potential bias in how security technology information is communicated in schools, highlighting a lack of knowledge in predominantly Caucasian schools.

Students Reporting AI Usage

Out of the three schools displayed on the table, BLA is the most detailed in responses. With only seven students represented, there is not enough data to make a conclusion on the relationship between racial makeup of schools and AI use. However, the fact that BLA is majority non-white points towards possible findings regarding research between AI implementation in schools and demographic information.

Bar Graph

The information that this bar chart conveys is the student awareness of security cameras in public schools. For example, the majority of Students that are in Cambridge Public School, are not aware of security cameras, while Boston Public Students and Private students are aware or not. This bar chart is important to the theme because this chart is evidence that there is an imbalance of knowledge/awareness in security cameras in the Greater Boston schools.