Student Analytics Principles

The Student and Analytics Working Group, part of the Privacy Governance Council, is comprised of students, faculty, and staff.  Over the summer, this dedicated team reviewed student analytics practices and principles from across higher ed institutions.  The first draft of the Student Analytics Principles is available for your review and consideration. 

Please provide feedback by December 15, 2021 by sending an email to


Draft Student Analytics Principles


Student analytics provide The Ohio State University community with insights to understand and optimize student success and experiences. 

However, students are individuals and cannot be wholly defined by the information collected about them.  While analytics holds powerful potential for benefits to both students and the institution, the possibility exists for unintended consequences. As a result, potential benefits from the use of student analytics in any given context must be thoughtfully considered in light of potential harms, particularly unintended ones. 

Student analytics are the measurement, collection, analysis and reporting of information about students and their contexts, for the purpose of understanding and optimizing student success and experiences and the contexts in which they occur.  We use student analytics to inform decisions made by humans, especially when there is a significant impact on students. 

The Institutional Data Policy guides the security, data governance, and privacy of student analytics. 


Student Success 

Student analytics must first work for the student and their success.  Students are empowered to make their own decisions, and we strive to provide guidance through the use of analytics.  


Student analytics must respect the dignity of each student.  The university thoughtfully considers contextual integrity when using personal information for student analytics. The university values student privacy and only uses personal identifiers when it is necessary or would be used to support a specific, individual student.  


Student analytics must be transparent. The university provides transparent privacy notices and communications about the use of student analytics.  Students should have a clear understanding of how their analytics data is collected, used, analyzed, shared, and reported.  


Student analytics must follow accountability and governance processes. The university is committed to ensuring equity, security, privacy, and quality by continuously evaluating the impact of student analytics.  The university also implements organizational policies, processes, and technical measures to address concerns and mitigate harm, particularly unintended ones.


The Digital Footprint of a Student

A day in the life of Maria

smart phone iconMaria arrives on campus, pulls out her phone, which automatically connects to the university’s wireless network, and opens the university app. She checks for the closest café to grab breakfast and orders from her app, paying from her university account.

chat icon
Walking to the café, she begins a group chat with classmates from her first class. They discuss the difficulty of the homework and their opinions of the instructor’s teaching style.

ID icon
When she arrives at the café she scans her university ID to pick up her breakfast and heads to class.

laptop iconAfter class, she heads to the library with her classmates. She opens her university’s learning management system (LMS) to complete her assignments: annotating a chapter in her digital textbook, finishing an online worksheet, and completing a math assignment. When finished, she submits her work to her instructors via the LMS.

ID icon
Later in the day, Maria heads to the university’s rec center, gets a locker and checks in to her fitness class – all with her university ID.

medical cross icon
At the end of the day, Maria syncs her favorite health tracker with the university wellness app and reviews the badges that she’s earned for her exercising and sleeping habits.