WE ARE HERE TO HELP!

Data-driven decision-making in education refers to faculty, staff, and administrators systematically collecting and analyzing various types of data, including input, process, outcome, and satisfaction data, to guide a range of decisions to help improve the success of students in courses, programs, and initiatives.

To support data-driven decision making in our College, our office provides the following support services: 

Data reporting and analysis for student performance in CNS courses, programs, and initiatives, including:

• Accessing and summarizing relevant data from CNS or UT sources
• Analyzing data related to student performance for courses, programs, and initiatives 

Current examples include:

• Tracking movement of students from gateway courses to advanced courses
• Assessing relations among student pass/fail rates, placement test and other standardized test scores, and course assignments 

Technical assistance related to program design and evaluation and data collection and analysis, including:

• Assisting in the design of questions for inquiry, data collection, and data analysis
• Providing guidance on elements of program development and evaluation 

Current examples include:

• Designing assessment plans for curricular changes
• Modeling the development and assessment of placement tests and course assignments  

Development and support of automated processes for data retrieval and reporting for administrative functions, including:

• Developing applications for automated electronic data collection and storage
• Developing applications for automated electronic data retrieval and reporting

Current examples include:

• Incorporating new data fields into current CNS web-based structures for reporting and storage
• Implementing automatic downloads and displays of student performance data for programs and initiatives

To learn more about how we can help you, please contact: This e-mail address is being protected from spambots. You need JavaScript enabled to view it .