Our staff provide advanced data collection and analytic support for curricular and co-curricular assessment and evaluation projects with a primary emphasis on academic effectiveness. Statistical methods are used to find patterns and relationships in data and statistical modeling, machine learning, and predictive analytics is applied to inform college processes regarding academic effectiveness and student success.
- Consultation on research design including data collection and processes
- Engagement in research associated with model development and implementation
- Collaboration with administration, faculty and staff in academic and co-curricular programs to design and refine processes that facilitate the delivery of educational services and maximize student success.