Center for Student Analytics

Helping to identify actionable solutions to improve student success.

A service entity within Academic & Instructional Services at Utah State University, the Center for Student Analytics (CSA) uses data analytics to improve student success in collaboration with stakeholders and partners within and external to the university.

Projects & Initiatives

Learn about our current projects and initiatives.

Project Request

Submit a student analytics project request.

Resources

Explore reports, whitepapers, and webinars highlighting the impact of student analytics.

About CSA

Learn about our
mission, team and
history.

Recruitment to Graduation

With student success impacted from early decision making to graduation (and beyond), our projects and initiatives encompas the entire student journey.

Student Journey Map

Types of Analytics

Depending on the project or activity, our work is directed on the following types of data analytics and BIG questions.

Descriptive (What Happened?)
targetThe two main techniques used in descriptive analytics are data aggregation and data miningwhere data is collected and presented in a summarized format (that’s the aggregation part) and then “mines” the data to discover patterns. The data is then presented in a way that can be easily understood by a wide audience (not just data experts).

Predictive (What is likely to happen?)
person thinking iconPredictive analytics estimates the likelihood of a future outcome based on historical data and probability theory, and while it can never to completely accurate, it does eliminate much of the guesswork from key decisions. Actionable, data-driven insights are identified.

Diagnostic (Why did it happen?)
magnifying glass over data pointsFor this type of analysis, several techniques are utilized: probability theory, regression analysis, filtering, and time-series data analytics. Anomalies are identified and causal relationships are explored.


Prescriptive (What is the best course of action?)
checklist iconThis type analysis considers a range of possible scenarios and assesses different actions that could be applied. Prescriptive analytics is one of the more complex types of analysis, and may involve working with algorithms, machine learning, and computational modeling procedures.

 

 

Benefits of Analytics

students around a desk
For Students

Analytics can help students see and reflect on their behavior in constructive ways to help them manage their progress toward their learning goals.

professor talking with a student
For Faculty

Analytics allow instructors to reflect on their own performance and seek better evidence for guiding instructional improvement.

staff member interacting with students
For Staff

Analytics allow staff to evaluate how individuals interact with services, resources, and tools, and how that interaction impacts outcomes.

administrator giving a presentation
For Administrators

Analytics allow program 
directors or other administrators, to more easily see how well a program or service is performing, and draw meaningful comparisons across courses or students.

Areas of Focus

Support Services

Optimization of student-facing programs and services.

Teaching and Learning

Provide actionable data to improve teaching and learning.

Data Privacy

Utah State University VALUES PRIVACY and remains trustworthy by working with student data in an intentional and secure way. As part of these efforts, USU has a transparent privacy policy regarding the ethical use of data collected from the USU community, including procedures that prevent unauthorized access or disclosure of private student data.

Additionally, officers of the institution that work closely with student data use a transparent, collaborative approach to safeguard data against being used inappropriately. The controls and procedures utilized by the Center for Student Analytics to create this report align with federal and state laws regarding protection of privacy and also adhere to the highest standards of student data ethics.

If you have questions about the practices and procedures USU employs to protect student data, contact:

CENTER FOR STUDENT ANALYTICS
435-797-0623
analytics@usu.edu