Data-Driven Decision Making

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Data Sources

Data-driven decision making refers to using data to make decisions to adjust curriculum and instruction. Improvements occur because data about actual performance is used to determine program strengths and weaknesses rather than personal opinion. The unit relies on several decision-making parties, including university deans, advisory councils, department chairs, departments, and P-12 school partners, to review aggregate data on each program, make recommendations, and make decisions for program improvement. The table below shows the decision making group or individual, and how often they review data.

Unit Decision-Making Parties

Decision Making PartyFrequency of ReviewParty Composition
Professional Education Advisory CouncilThree times/yearP-12 representatives, Arts & Sciences
faculty, Ed faculty, candidates, university
supervisors
Professional Education Assessment
Committee
Four-six times/yearP-12 representatives, Arts & Sciences
faculty, Ed faculty, candidates
Student Advisory CouncilFour-six times/yearElementary, Early Childhood, Secondary
and K-12 Ed Candidates
Chairs MeetingsBi-weeklyDepartment chairs and directors
Department MeetingsBi-weeklyProgram Faculty
Clinical and Field Experiences OfficeEach semesterDirector, Assistant Director, and Supervisors
Secondary Education CoalitionFour times/yearSecondary & K-12 Unit Faculty
Office of Professional EducationOn-goingCoordinator
Dean of College of EducationOn-going
College Deans and Academic AffairsOn-goingVice President and Assistant Vice
President of Academic Affairs, Deans of
Arts and Sciences, Library, and Graduate
Studies and Research