Congruent with the mission, vision and goals of the university, the
division regularly collects and reviews multiple types of data to maximize our
impact on student academic support, student engagement and student support.
Our data-driven decision-making process is coordinated by the
assessment and effectiveness specialist for Student Affairs with advisement
from the Student Affairs Assessment Committee. The two main goals of the
process, originally implemented in fall 2004 and revised in summer 2018, are to
promote continuous improvement and to understand how the division contributes
to student learning.
We collect data within and across ten departments that comprise the
division to examine our individual and collective impact on students. Departments
demonstrate contributions through data associated with their program areas.
Program areas are purposeful combinations of activities and services each
department does on a day-to-day basis. Program areas are measured according to
three types of data that include baseline metrics, effectiveness metrics, and both
learning outcomes. By examining all three types of data relative to
pre-defined success targets through annual
assessment and evaluation, we can identify areas of strength and
opportunities for continual improvement.
The diagram on the right of the page illustrates the division’s
data-driven decision-making model.