Lori Meadows
Universities and colleges are increasingly turning to technology and data analytics to track students' academic progress and personal lives. While the goal is to improve student retention and graduation rates, as well as to identify students who need help, the practice has raised concerns about student privacy and the potential for reinforcing racial inequities. Colleges are not only tracking students' online activities and social media presence but also their physical locations on campus through Bluetooth beacons and Wi-Fi access points. Additionally, universities are searching for applicants online to get a complete picture of them during the admissions process.
| Characteristics | Values |
|---|---|
| Use of technology | Bluetooth beacons, Wi-Fi access points, and smartphone apps |
| Data collected | Attendance, location, online activity, and personal information |
| Purpose | Improve graduation rates, identify at-risk students, and provide support |
| Impact | Increased graduation rates at some colleges, but privacy and ethical concerns remain |
| Student awareness | Varying levels of awareness, some students are concerned about privacy |
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What You'll Learn
Student data and analytics
Colleges and universities have long used student data and analytics to help shape policy and improve student outcomes. This data can be used to identify students who need help and quickly intervene, with the ultimate goal of improving academic performance and boosting graduation rates.
Some colleges are now utilising new tools that provide professors with real-time data on student engagement and performance. For example, Bluetooth beacons installed in classrooms can log attendance, punctuality, and duration of stay. Additionally, Wi-Fi access points can track students' locations and movements around campus, generating up to 6,000 location data points per day. This data can be used to make assumptions about students' mental health and prompt interventions.
Critics argue that this approach may invade students' privacy and reinforce racial inequities. They also highlight the potential for errors and the limitations of such systems to capture the full context of students' lives. Furthermore, there are concerns about the level of transparency and student awareness regarding this surveillance.
Despite these concerns, colleges defend their use of data and analytics as a means to improve retention and attendance rates, accommodate diverse student bodies, and enhance overall student success.
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Student tracking technology
Universities and colleges are increasingly using technology to track students, with some raising concerns about privacy and the ethics of such practices. This technology is often implemented without the knowledge of students, who are often unaware of the extent of surveillance on campus.
One way universities are tracking students is through their smartphones. When students enter certain classrooms, Bluetooth beacons can log their attendance, including if they arrive late or leave early. This data is then sent back to the college. Additionally, Wi-Fi access points across campus can track a student's location and movements 24 hours a day, collecting thousands of data points. This allows universities to monitor students' attendance and even attempt to identify those who may be experiencing mental health issues or other difficulties.
Some universities have also implemented predictive analytics tools, which use student data to anticipate academic performance and the likelihood of dropping out. This can help universities provide support to struggling students and improve graduation rates. However, critics argue that these algorithms may invade students' privacy and reinforce racial inequities.
While some students are unconcerned about these tracking systems, others feel they breach their privacy and infantilize them as adults. There are also concerns about the accuracy and potential negative consequences of such technology, with the possibility of students being unfairly targeted or misidentified as "at-risk".
Overall, while universities aim to use student tracking technology to improve academic outcomes and support, it is important to consider the ethical implications and ensure transparency and informed consent in the use of such technologies.
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Student privacy concerns
Some colleges are using predictive analytics to identify students at risk of dropping out and provide targeted interventions. For example, Georgia State University in Atlanta has been credited with improving its graduation rates through the use of such analytics. However, there are concerns that this approach may reinforce racial inequities, as algorithms could potentially discriminate against certain demographic groups.
Additionally, colleges have been found to track students' online activities and locations using Bluetooth beacons and Wi-Fi access points. This allows them to monitor class attendance and even make assumptions about students' mental health based on their movement data. While some students are aware of this surveillance and express concerns over privacy, many others are unaware that their data is being collected to this extent.
Furthermore, colleges and universities often search for applicants online during the admissions process to get a complete picture of the candidate. This includes reviewing their social media presence and digital footprint. As a result, students are encouraged to cultivate a positive digital profile and maintain a positive online presence to make a good impression on admissions officers.
The use of data and analytics in higher education has sparked a debate between improving student outcomes and protecting student privacy. While institutions argue that data-driven decisions can enhance student success, critics emphasize the potential for error and the importance of contextual information that these systems may overlook. Ultimately, student privacy concerns must be carefully addressed as educational institutions continue to embrace technology and data analytics.
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Benefits of tracking
While the practice of universities tracking students has raised concerns over student privacy, some sources argue that there are benefits to this approach.
Firstly, tracking can help improve student retention and graduation rates. By monitoring student engagement and performance in real time, professors and counsellors can quickly identify students who are struggling and provide targeted interventions such as tutoring, mentoring, or meetings with advisers. This proactive approach can help students stay on track and improve their academic outcomes.
Secondly, tracking can be used to enhance the student experience and support their well-being. For example, by analysing location data, universities can identify students who may be going through a mental health crisis, such as a student who is not leaving their dorm room or has stopped attending class. This information can then be used to connect these students with the necessary resources and support services.
Additionally, tracking can provide valuable insights for program leaders and administrators. By collecting and analysing data on student attendance, engagement, and learning outcomes, they can assess the impact of their programs and make data-driven decisions to improve the student experience. This includes measuring the success of community engagement initiatives, identifying areas for curriculum improvement, and developing targeted support services.
Furthermore, tracking can facilitate partnerships and collaboration across the institution. By breaking down data silos, universities can encourage different departments and groups to work together and share insights. This collaborative approach can lead to more effective strategies for supporting student success and improving overall graduation rates.
Overall, while the benefits of tracking are debated, proponents argue that it can provide valuable insights, enable targeted interventions, and ultimately improve student outcomes and experiences.
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Drawbacks of tracking
While tracking students' data can help universities boost graduation rates, there are several drawbacks and potential downsides to monitoring students so closely. Firstly, critics argue that the approach is often retroactive, focusing on performance data and spreadsheets rather than real-time improvements to student learning. This can result in academic autopsy data that is used for alumni fundraising or marketing rather than meaningful change.
Secondly, there are concerns about the invasion of privacy and student surveillance. Many students are unaware of the extent of data collection, and the use of their data may raise ethical concerns. For example, tracking students' locations 24 hours a day and making assumptions about their mental health based on this data could be seen as an invasion of privacy.
Additionally, there is a risk that the algorithms used to analyse student data may reinforce historical inequities and unintentionally funnel marginalised students into certain paths or majors. This could limit students' opportunities and perpetuate systemic biases. Furthermore, tracking data may not always provide an accurate or complete picture of a student's situation. AI experts and privacy advocates caution that the system could be full of errors and may not capture the complex context of students' lives, potentially leading to unfair judgements and decisions.
Finally, the focus on data-driven paths to graduation may not suit all students, especially those with complicated lives, financial problems, or mental health issues. While tracking can provide a structured plan, it may not offer the flexibility that some students need to balance their education with other commitments and challenges.
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Frequently asked questions
Yes, universities can track down community college students through their smartphones or online activity. Some colleges have installed Bluetooth beacons in classrooms to track attendance, while others use predictive analytics to identify students at risk of dropping out.
Universities track community college students to boost graduation rates and improve student retention. By collecting data on student engagement and performance, universities can identify students who need additional support and intervene early on.
Community college students can protect their privacy by being aware of the data they share online and on their smartphones. Students should also be informed about the extent of university surveillance and its potential impact on their privacy. Additionally, students can create a positive digital footprint by showcasing their accomplishments and highlighting positive aspects of their lives.
