Should Your School Track Your Online Activity? | Gaggle + Student Activity Monitoring Software

The video discusses the use of automated proctoring software in schools, highlighting its role in monitoring students during exams and the associated privacy concerns. It explores the biases in such software, particularly affecting students with darker skin tones and neurodivergent students. The video also examines the use of programs like Gaggle for monitoring students' mental health, raising issues of privacy versus safety. It highlights the socioeconomic disparities in monitoring and questions the reliance on technology for student safety. The video concludes by speculating on the future of student monitoring as in-person learning resumes.

What is the primary purpose of automated proctoring software?

• To monitor students' activities during exams

• To enhance student learning

• To provide mental health support

• To improve internet connectivity

What issue has been identified with automated proctoring software regarding students with darker skin tones?

• They have better internet access

• They receive higher scores

• They are often not recognized by the software

• They are more likely to cheat

What is Gaggle primarily used for in schools?

• Providing online classes

• Improving school Wi-Fi

• Monitoring exam cheating

• Monitoring students' mental health

What is a major concern with Gaggle's monitoring of student accounts?

• It reduces internet speed

• It enhances school reputation

• It invades student privacy

• It improves student grades

How does socioeconomic status affect student privacy in monitoring software?

• Wealthier students have more privacy

• Poorer students have more privacy

• All students have equal privacy

• Wealthier students have less privacy

What is a suggested alternative to relying solely on technology for student mental health monitoring?

• Using more advanced software

• Reducing school hours

• Increasing trust between students and schools

• Hiring more teachers

What is a potential downside of using AI to diagnose mental health conditions?

• It is too accurate

• It is too expensive

• It is straightforward

• It may not be reliable