The University of Arizona is hoping to lower the rate at which its students dropout by implementing a new university student card that digitally tracks individuals, and predicts who's most likely to dropout.
The card features embedded sensors that record each time a student enters a university facility, like the dining hall, a classroom, the library or a residence. According to the university's data, students that are likely to dropout have smaller social circles and lack a routine. Every quarter, researchers present teachers with a list of students who are most likely to dropout. The university hopes that providing this information to teachers would lead to an increased number in students receiving support from an academic adviser.
Image Credit: Bob Demers, UA News
What's Driving This Trend
- Digital-tracking Technology
- Implementing digital-tracking technology in ID cards can help universities predict and address potential student dropouts.
- Data-driven Student Support
- Using data analytics to identify at-risk students and provide targeted support can improve student retention rates.
- Predictive Analytics in Education
- Leveraging predictive analytics in education can empower institutions to proactively address student needs and improve outcomes.
Who This Affects Most
- Higher Education
- Implementing student-tracking ID cards can be a disruptive innovation opportunity in the higher education industry.
- Technology and Software
- Developing digital-tracking technologies and data analytics software for student retention can be a disruptive innovation opportunity in the technology industry.
- Education Services
- Providing predictive analytics and student support services can be a disruptive innovation opportunity in the education services industry.
