Data-Driven Decision Making 2: Assessing Outcomes at Multiple Levels
Applying data-driven decision making process to assess outcomes at multiple levels, including student assessment and learning: program and staff evaluation; school performance; community needs and expectations assessment and evaluation.
EDLF
677
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesNone
 TaughtFall, Winter
Course Outcomes: 


Effective Data-Driven Decision Making

The learning outcomes of this course focus on the theoretical foundations, knowledge and skills needed for students, once graduated, to provide school-level leadership through the design, implementation and evaluation of effective data-driven decision making systems for school improvement, including evaluation of:

  • Student learning
  • Program effectiveness
  • Faculty and staff competencies
  • School performance, and
  • Community and external environments